{
  "id": "loan-origination-software",
  "category_slug": "loan-origination-software",
  "name": "Loan origination and lending software",
  "display_name": "Loan origination and lending software",
  "answer_base": 150,
  "input_answers": 150,
  "scheduled_answers": 150,
  "questions": [
    {
      "id": "q1",
      "text": "What is the best loan origination software for a community bank?"
    },
    {
      "id": "q2",
      "text": "What is the best loan origination software for a credit union?"
    },
    {
      "id": "q3",
      "text": "What is the best mortgage LOS for a small broker shop?"
    },
    {
      "id": "q4",
      "text": "What are the best alternatives to Encompass?"
    },
    {
      "id": "q5",
      "text": "What are the best alternatives to MeridianLink?"
    },
    {
      "id": "q6",
      "text": "What are the best alternatives to nCino?"
    },
    {
      "id": "q7",
      "text": "MeridianLink vs nCino: which is better for a community bank?"
    },
    {
      "id": "q8",
      "text": "Encompass vs Blend: which should a mortgage lender choose?"
    },
    {
      "id": "q9",
      "text": "What should I look for when choosing a loan origination system?"
    },
    {
      "id": "q10",
      "text": "Which loan origination platform fits a lender that funds commercial and specialty loans in house?"
    }
  ],
  "comparison_vendors": [
    "nCino",
    "MeridianLink",
    "ICE Mortgage Technology",
    "Abrigo",
    "Baker Hill"
  ],
  "comparison_vendor_aliases": {
    "nCino": [
      "nCino",
      "nCino Bank Operating System",
      "nCino Mortgage Suite",
      "SimpleNexus"
    ],
    "MeridianLink": [
      "MeridianLink",
      "MeridianLink Consumer",
      "MeridianLink Mortgage",
      "LoansPQ",
      "LendingQB",
      "OpenClose",
      "DecisionLender"
    ],
    "ICE Mortgage Technology": [
      "ICE Mortgage Technology",
      "Encompass",
      "Ellie Mae"
    ],
    "Abrigo": [
      "Abrigo",
      "Sageworks",
      "Banker's Toolbox",
      "Abrigo Lending"
    ],
    "Baker Hill": [
      "Baker Hill",
      "Baker Hill NextGen"
    ]
  },
  "records": [
    {
      "record_id": "loan-origination-software|q10|ChatGPT|1",
      "engine": "ChatGPT",
      "question_id": "q10",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "99e645471563ab31238e830834f4295b0b856a1920475793801ed146ae739c07",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 2,
      "cited_urls": [
        "https://www.launcher.solutions/specialty-commercial-lenders/?utm_source=openai",
        "https://www.launcher.solutions/business-lending/?utm_source=openai",
        "https://www.lendingwise.com/?utm_source=openai"
      ]
    },
    {
      "record_id": "loan-origination-software|q10|ChatGPT|2",
      "engine": "ChatGPT",
      "question_id": "q10",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "75c6a135363bb902e5a80f98542b8fb3b12a86d1cbe7b71865a75140e66e9d2b",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 2,
      "cited_urls": [
        "https://www.launcher.solutions/specialty-commercial-lenders/?utm_source=openai",
        "https://www.launcher.solutions/business-lending/?utm_source=openai"
      ]
    },
    {
      "record_id": "loan-origination-software|q10|ChatGPT|3",
      "engine": "ChatGPT",
      "question_id": "q10",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "e8a7d6df94117a17d0d05c9957a0f6842d6e9cb5123787f6e78482844f0de135",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 2,
      "cited_urls": [
        "https://www.launcher.solutions/specialty-commercial-lenders/?utm_source=openai",
        "https://www.launcher.solutions/?utm_source=openai",
        "https://www.lendingwise.com/?utm_source=openai",
        "https://www.turnkey-lender.com/commercial-lending-software/?utm_source=openai"
      ]
    },
    {
      "record_id": "loan-origination-software|q10|Claude|1",
      "engine": "Claude",
      "question_id": "q10",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "4af4e40d2e6652388dadb05f6d42e441f88d0a8c269a0e33e8048b7ab1a0dc2f",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 407,
      "cited_urls": [
        "https://onyxiq.com/blog/best-loan-origination-software-mca-lenders",
        "https://www.loanpro.io/blog/best-loan-origination-software/",
        "https://www.gartner.com/reviews/market/commercial-loan-origination-solutions",
        "https://www.ccgcatalyst.com/thought-leadership/research-snapshot/sector-spotlight-commercial-loan-origination-systems/",
        "https://us.fitgap.com/search/loan-origination-software/commercial",
        "https://hesfintech.com/commercial-lending-software/",
        "https://www.fisglobal.com/products/fis-commercial-lending-suite/fis-commercial-loan-origination",
        "https://www.softpullsolutions.com/blog/posts/2025/december/16-best-mortgage-loan-origination-software-companies-to-integrate-with-in-2026/",
        "https://www.moodys.com/web/en/us/solutions/lending/loan-origination.html"
      ]
    },
    {
      "record_id": "loan-origination-software|q10|Claude|2",
      "engine": "Claude",
      "question_id": "q10",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "b16c0bcb71122e2c3434351c984bfbcfe2c492ac2fb0b6d5a6a284b3910814a3",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 440,
      "cited_urls": [
        "https://www.loanpro.io/blog/best-loan-origination-software/",
        "https://onyxiq.com/blog/best-loan-origination-software-mca-lenders",
        "https://www.gartner.com/reviews/market/commercial-loan-origination-solutions",
        "https://www.moodys.com/web/en/us/solutions/lending/loan-origination.html",
        "https://us.fitgap.com/search/loan-origination-software/commercial",
        "https://www.ccgcatalyst.com/thought-leadership/research-snapshot/sector-spotlight-commercial-loan-origination-systems/",
        "https://hesfintech.com/commercial-lending-software/",
        "https://hesfintech.com/blog/top-commercial-loan-underwriting-software/",
        "https://www.softpullsolutions.com/blog/posts/2025/december/16-best-mortgage-loan-origination-software-companies-to-integrate-with-in-2026/",
        "https://www.fisglobal.com/products/fis-commercial-lending-suite/fis-commercial-loan-origination"
      ]
    },
    {
      "record_id": "loan-origination-software|q10|Claude|3",
      "engine": "Claude",
      "question_id": "q10",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "1cd6ab91334eac873d1fa7b48b5812f2abcdf0265deeea05bf8a2bdb43e5464b",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 429,
      "cited_urls": [
        "https://www.loanpro.io/blog/best-commercial-lending-software/",
        "https://www.ccgcatalyst.com/thought-leadership/research-snapshot/sector-spotlight-commercial-loan-origination-systems/",
        "https://fintechspecs.com/blog/best-loan-origination-management-software-platforms/",
        "https://timvero.com/blog/best-loan-origination-software",
        "https://scryai.com/blog/best-loan-origination-software/",
        "https://hesfintech.com/blog/top-best-loan-origination-software/",
        "https://www.softpullsolutions.com/blog/posts/2025/december/16-best-mortgage-loan-origination-software-companies-to-integrate-with-in-2026/",
        "https://smartcapitalcenter.com/blog-post/12-best-mortgage-lending-loan-origination-software-for-2026"
      ]
    },
    {
      "record_id": "loan-origination-software|q10|Google AI Mode|1",
      "engine": "Google AI Mode",
      "question_id": "q10",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "1575c753ea7743661211e668334689a341f2a40d9d8e1cdda92bb437e4d1d8ec",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 0,
      "cited_urls": [
        "https://www.ncino.com/solutions/commercial-lending",
        "https://www.fisglobal.com/products/fis-commercial-lending-suite/fis-commercial-loan-origination",
        "https://www.loanpro.io/blog/best-commercial-lending-software/",
        "https://onyxiq.com/blog/best-loan-origination-software-mca-lenders"
      ]
    },
    {
      "record_id": "loan-origination-software|q10|Google AI Mode|2",
      "engine": "Google AI Mode",
      "question_id": "q10",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "6d2964e1c79b9412298ab118f266ec118868a9bb450aadbdff4da8cee1f0f00f",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 465,
      "cited_urls": [
        "https://www.loanpro.io/blog/best-commercial-lending-software/",
        "https://onyxiq.com/blog/best-loan-origination-software-mca-lenders",
        "https://www.launcher.solutions/specialty-commercial-lenders/"
      ]
    },
    {
      "record_id": "loan-origination-software|q10|Google AI Mode|3",
      "engine": "Google AI Mode",
      "question_id": "q10",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "329d113776c9b7c8ba8583e2c68bdd04babf2044dd4108f0b1cb9d0a41fd913d",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 378,
      "cited_urls": [
        "https://www.loanpro.io/blog/best-loan-origination-software/",
        "https://www.turnkey-lender.com/commercial-lending-software/",
        "https://www.gartner.com/reviews/market/commercial-loan-origination-solutions",
        "https://www.cyncsoftware.com/platform/loan-origination",
        "https://www.ncino.com/solutions/commercial-lending"
      ]
    },
    {
      "record_id": "loan-origination-software|q10|Google AI Overviews|1",
      "engine": "Google AI Overviews",
      "question_id": "q10",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "dc0e772a591cbb9478487aac38b302ac943647a49dfad3d2364b2719e9aebedb",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 601,
      "cited_urls": [
        "https://www.loanpro.io/blog/best-commercial-lending-software/",
        "https://www.ncino.com/solutions/commercial-lending",
        "https://hesfintech.com/blog/top-commercial-loan-underwriting-software/",
        "https://www.gartner.com/reviews/market/commercial-loan-origination-solutions"
      ]
    },
    {
      "record_id": "loan-origination-software|q10|Google AI Overviews|2",
      "engine": "Google AI Overviews",
      "question_id": "q10",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "8bc0a08ba1212218ddc3303946d5b47d3b5f1c5d4b784b27a1fcc9fde017fd62",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 227,
      "cited_urls": [
        "https://www.loanpro.io/blog/best-loan-origination-software/",
        "https://www.loanpro.io/blog/best-commercial-lending-software/",
        "https://www.ncino.com/solutions/commercial-lending",
        "https://hesfintech.com/blog/top-commercial-loan-underwriting-software/",
        "https://www.moxo.com/blog/best-loan-origination-sofware",
        "https://smartcapitalcenter.com/blog-post/12-best-mortgage-lending-loan-origination-software-for-2026",
        "https://www.loanpro.io/blog/best-loan-origination-software/#:~:text=LoanPro%20is%20a,collections%2C%20and%20payments.",
        "https://www.loanpro.io/",
        "https://www.finastra.com/",
        "https://www.ncino.com/"
      ]
    },
    {
      "record_id": "loan-origination-software|q10|Google AI Overviews|3",
      "engine": "Google AI Overviews",
      "question_id": "q10",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "9cb21ab6c2341c4cdf3797e85968278514b20e524c5654251a9f70a0180045b5",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 660,
      "cited_urls": [
        "https://www.loanpro.io/blog/best-commercial-lending-software/",
        "https://www.ncino.com/solutions/commercial-lending",
        "https://getbuilt.com/blog/real-estate-lending-software-vs-general-loan-origination-systems/",
        "https://www.vergentlms.com/loan-origination-software/",
        "https://www.ccgcatalyst.com/thought-leadership/research-snapshot/sector-spotlight-commercial-loan-origination-systems/",
        "https://www.lendingwise.com/"
      ]
    },
    {
      "record_id": "loan-origination-software|q10|Perplexity|1",
      "engine": "Perplexity",
      "question_id": "q10",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "ebf58c4cf65d95768eac7f0ee8c190ef5fe750732c8ddbebe61cd9010f3f1ffd",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 106,
      "cited_urls": [
        "https://www.lendingwise.com/",
        "https://www.fundingsearch.com/",
        "https://www.gartner.com/reviews/market/commercial-loan-origination-solutions",
        "https://www.ncino.com/solutions/commercial-lending",
        "https://www.fisglobal.com/products/fis-commercial-lending-suite/fis-commercial-loan-origination",
        "https://www.finastra.com/lending/origination",
        "https://www.loanpro.io/platform/origination-suite/",
        "https://www.fisglobal.com/products/fis-commercial-lending-suite",
        "https://timvero.com/loan-origination",
        "https://www.fisglobal.com/products/fis-origination-suite",
        "https://www.cyncsoftware.com/platform/loan-origination",
        "https://www.abrigo.com/software/lending-and-credit-risk/sageworks-lending-software/",
        "https://www.moodys.com/web/en/us/solutions/lending/loan-origination.html",
        "https://www.moodys.com/web/en/us/solutions/lending.html",
        "https://www.getapp.com/finance-accounting-software/loan-origination/",
        "https://hesfintech.com/blog/top-best-loan-origination-software/",
        "https://hesfintech.com/blog/best-loan-origination-systems/",
        "https://zipdo.co/best/commercial-lending-origination-software/",
        "https://www.backbase.com/blog/loan-origination-software",
        "https://aloan.ai/guides/best-loan-origination-software"
      ]
    },
    {
      "record_id": "loan-origination-software|q10|Perplexity|2",
      "engine": "Perplexity",
      "question_id": "q10",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "aee13a9718396ae84a56378b58c8371cb6d90fb7bacd7a7d8622af900041d0c2",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 111,
      "cited_urls": [
        "https://www.lendingwise.com/",
        "https://www.fundingsearch.com/",
        "https://www.gartner.com/reviews/market/commercial-loan-origination-solutions",
        "https://www.ncino.com/solutions/commercial-lending",
        "https://www.fisglobal.com/products/fis-commercial-lending-suite/fis-commercial-loan-origination",
        "https://www.finastra.com/lending/origination",
        "https://www.loanpro.io/platform/origination-suite/",
        "https://www.fisglobal.com/products/fis-commercial-lending-suite",
        "https://timvero.com/loan-origination",
        "https://www.fisglobal.com/products/fis-origination-suite",
        "https://www.cyncsoftware.com/platform/loan-origination",
        "https://www.abrigo.com/software/lending-and-credit-risk/sageworks-lending-software/",
        "https://www.moodys.com/web/en/us/solutions/lending/loan-origination.html",
        "https://www.moodys.com/web/en/us/solutions/lending.html",
        "https://www.getapp.com/finance-accounting-software/loan-origination/",
        "https://hesfintech.com/blog/top-best-loan-origination-software/",
        "https://hesfintech.com/blog/best-loan-origination-systems/",
        "https://zipdo.co/best/commercial-lending-origination-software/",
        "https://www.backbase.com/blog/loan-origination-software",
        "https://aloan.ai/guides/best-loan-origination-software"
      ]
    },
    {
      "record_id": "loan-origination-software|q10|Perplexity|3",
      "engine": "Perplexity",
      "question_id": "q10",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "0121952d8cbcea5fdf15b7f1eba80ce29415e2cfbd7e3565b90f03954a16180c",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 106,
      "cited_urls": [
        "https://www.fundingsearch.com/",
        "https://timvero.com/loan-origination",
        "https://www.fisglobal.com/products/fis-commercial-lending-suite/fis-commercial-loan-origination",
        "https://www.gartner.com/reviews/market/commercial-loan-origination-solutions",
        "https://www.cyncsoftware.com/platform/loan-origination",
        "https://www.moxo.com/blog/best-loan-origination-sofware",
        "https://www.moodys.com/web/en/us/solutions/lending/loan-origination.html",
        "https://hesfintech.com/blog/top-commercial-loan-underwriting-software/",
        "https://www.getbankpoint.com/platform/commercial-lending",
        "https://www.ncino.com/solutions/commercial-lending",
        "https://aloan.ai/guides/best-loan-origination-software",
        "https://www.loanpro.io/blog/best-commercial-lending-software/",
        "https://www.ccgcatalyst.com/thought-leadership/research-snapshot/sector-spotlight-commercial-loan-origination-systems/",
        "https://hesfintech.com/commercial-lending-software/",
        "https://www.fundingsearch.com/blog/best-loan-origination-software-platforms",
        "https://www.finantrix.com/buyer-guides/loan-origination-systems-commercial-lenders",
        "https://www.fundingsearch.com/commercial-lending-software",
        "https://www.biz2x.com/loan-origination-software/best-commercial-loan-software-small-mid-sized-lenders/",
        "https://ableplatform.io/top-commercial-loan-software/",
        "https://timvero.com/blog/best-loan-origination-software"
      ]
    },
    {
      "record_id": "loan-origination-software|q1|ChatGPT|1",
      "engine": "ChatGPT",
      "question_id": "q1",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "ecc8681b7f2629ffc7d7187d7e292670c5962cf082e6c08f4d0758b8d8a1e9fd",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 74,
      "cited_urls": [
        "https://www.abrigo.com/software/lending-and-credit-risk/sageworks-lending-software/?utm_source=openai",
        "https://bakerhill.com/commercial-lending",
        "https://www.ncino.com/solutions/commercial-lending?utm_source=openai",
        "https://www.meridianlink.com/products/consumer-lending-software/?utm_source=openai",
        "https://www.finastra.com/institutions/community-banks?utm_source=openai"
      ]
    },
    {
      "record_id": "loan-origination-software|q1|ChatGPT|2",
      "engine": "ChatGPT",
      "question_id": "q1",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "9a9027b099921f702f5893ed7c115eeeb3c87acaf30a0634a0c13fafd4cb2533",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 74,
      "cited_urls": [
        "https://www.abrigo.com/software/lending-and-credit-risk/sageworks-lending-software/?utm_source=openai",
        "https://www.abrigo.com/software/lending-and-credit-risk/?utm_source=openai",
        "https://www.meridianlink.com/products/consumer-lending-software/?utm_source=openai",
        "https://www.ncino.com/solutions/commercial-lending?utm_source=openai",
        "https://www.jackhenry.com/resources/articles/tackle-margin-compression?utm_source=openai",
        "https://bakerhill.com/banks?utm_source=openai"
      ]
    },
    {
      "record_id": "loan-origination-software|q1|ChatGPT|3",
      "engine": "ChatGPT",
      "question_id": "q1",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "1652eb199e1f64eeee133588b958e393181cdcea954c16a0dca68b5ef65627f9",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 74,
      "cited_urls": [
        "https://www.abrigo.com/software/lending-and-credit-risk/sageworks-lending-software/?utm_source=openai",
        "https://bakerhill.com/consumer-lending?utm_source=openai",
        "https://www.jackhenry.com/hubfs/resources/technology-guides/JH-Brand-TechnologyGuide-Banks.pdf?utm_source=openai",
        "https://appexchange.salesforce.com/appxListingDetail?listingId=a0N30000005v9okEAA&utm_source=openai",
        "https://www.meridianlink.com/products/consumer-lending-software/?utm_source=openai"
      ]
    },
    {
      "record_id": "loan-origination-software|q1|Claude|1",
      "engine": "Claude",
      "question_id": "q1",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "c858a959a1f0a1631e57c6d2e5165b027fb36fab7303d03432ab3e37d97f62ec",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 229,
      "cited_urls": [
        "https://timvero.com/blog/best-loan-origination-software",
        "https://hesfintech.com/blog/top-best-loan-origination-software/",
        "https://www.loanpro.io/blog/best-loan-origination-software/",
        "https://www.multimodal.dev/post/best-loan-origination-software",
        "https://www.zeitro.com/blog/best-loan-origination-software",
        "https://aloan.ai/guides/best-loan-origination-software",
        "https://www.softpullsolutions.com/blog/posts/2025/december/16-best-mortgage-loan-origination-software-companies-to-integrate-with-in-2026/"
      ]
    },
    {
      "record_id": "loan-origination-software|q1|Claude|2",
      "engine": "Claude",
      "question_id": "q1",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "2ba7dd4486b26d21992094663d1e7135979ebc9bb21ca55218a3f86e80aa89a0",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 229,
      "cited_urls": [
        "https://hesfintech.com/blog/best-loan-origination-systems/",
        "https://timvero.com/blog/best-loan-origination-software",
        "https://www.loanpro.io/blog/best-loan-origination-software/",
        "https://www.multimodal.dev/post/best-loan-origination-software",
        "https://www.zeitro.com/blog/best-loan-origination-software",
        "https://aloan.ai/guides/best-loan-origination-software"
      ]
    },
    {
      "record_id": "loan-origination-software|q1|Claude|3",
      "engine": "Claude",
      "question_id": "q1",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "4a7e0b9a8cab8729240880e2be5a43fc77c4ba34f7b0f77c96992c017ac20fdd",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 198,
      "cited_urls": [
        "https://hesfintech.com/blog/top-best-loan-origination-software/",
        "https://timvero.com/blog/best-loan-origination-software",
        "https://www.loanpro.io/blog/best-loan-origination-software/",
        "https://www.multimodal.dev/post/best-loan-origination-software",
        "https://www.zeitro.com/blog/best-loan-origination-software",
        "https://aloan.ai/guides/best-loan-origination-software",
        "https://www.softpullsolutions.com/blog/posts/2025/december/16-best-mortgage-loan-origination-software-companies-to-integrate-with-in-2026/"
      ]
    },
    {
      "record_id": "loan-origination-software|q1|Google AI Mode|1",
      "engine": "Google AI Mode",
      "question_id": "q1",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "960489ace573fc8f48b87b50c06b247660125d05dcdf56e9c6cce202cee0594f",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 345,
      "cited_urls": [
        "https://www.moxo.com/blog/best-loan-origination-sofware",
        "https://www.loanpro.io/blog/best-loan-origination-software/"
      ]
    },
    {
      "record_id": "loan-origination-software|q1|Google AI Mode|2",
      "engine": "Google AI Mode",
      "question_id": "q1",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "f98a5f9e2070901a2b62eb5868d77b3e658649a43be833629c9e717479d261c4",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 481,
      "cited_urls": [
        "https://www.abrigo.com/blog/what-is-digital-lending-and-how-can-community-banks-credit-unions-benefit/",
        "https://www.abrigo.com/software/lending-and-credit-risk/",
        "https://www.loanpro.io/blog/best-loan-origination-software/",
        "https://www.ncino.com/solutions/commercial-lending",
        "https://timvero.com/blog/best-loan-origination-software",
        "https://www.ncino.com/"
      ]
    },
    {
      "record_id": "loan-origination-software|q1|Google AI Mode|3",
      "engine": "Google AI Mode",
      "question_id": "q1",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "c88a8d4ad3278796f594546dabc4ca8d11f13a59e9299d956d6daedb72f6ee6a",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 65,
      "cited_urls": [
        "https://www.loanpro.io/blog/best-loan-origination-software/",
        "https://www.moxo.com/blog/best-loan-origination-sofware",
        "https://www.meridianlink.com/solutions/loan-origination-software/",
        "https://www.abrigo.com/software/lending-and-credit-risk/sageworks-lending-software/"
      ]
    },
    {
      "record_id": "loan-origination-software|q1|Google AI Overviews|1",
      "engine": "Google AI Overviews",
      "question_id": "q1",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "1977c37bce769ef7c5fb85e3d527d83f94a5bb3b1eb6b51cfe7c7b491e6cc15d",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 360,
      "cited_urls": [
        "https://www.loanpro.io/blog/best-loan-origination-software/",
        "https://timvero.com/blog/best-loan-origination-software",
        "https://jinba.io/blog/best-automated-loan-systems",
        "https://www.vergentlms.com/the-best-loan-origination-software/",
        "https://www.moxo.com/blog/best-loan-origination-sofware",
        "https://hesfintech.com/blog/best-loan-origination-systems/",
        "https://aloan.ai/guides/ai-tools-community-bank-lending"
      ]
    },
    {
      "record_id": "loan-origination-software|q1|Google AI Overviews|2",
      "engine": "Google AI Overviews",
      "question_id": "q1",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "1d66ebfc0630d354bb23ebc3dd6240e22a38fafb2c0b0b3537ea43d1162962f9",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 156,
      "cited_urls": [
        "https://www.loanpro.io/blog/best-loan-origination-software/",
        "https://infinitysoftware.com/picks/best-loan-origination-software",
        "https://aloan.ai/guides/best-commercial-lending-software",
        "https://www.abrigo.com/software/lending-and-credit-risk/",
        "https://www.abrigo.com/software/lending-and-credit-risk/sageworks-lending-software/",
        "https://www.moxo.com/blog/best-loan-origination-sofware",
        "https://www.meridianlink.com/solutions/loan-origination-software/",
        "https://www.vergentlms.com/the-best-loan-origination-software/",
        "https://www.cgi.com/us/en-us/article/banking-and-capital-markets/loan-origination-software-guide",
        "https://www.ncino.com/solutions/consumer-lending"
      ]
    },
    {
      "record_id": "loan-origination-software|q1|Google AI Overviews|3",
      "engine": "Google AI Overviews",
      "question_id": "q1",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "ee72a86a9b56e7cadf19602ebd4e5df07528e4a557806c2448e16027ca35261d",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 309,
      "cited_urls": [
        "https://www.loanpro.io/blog/best-loan-origination-software/",
        "https://www.abrigo.com/software/lending-and-credit-risk/sageworks-lending-software/",
        "https://www.meridianlink.com/solutions/loan-origination-software/",
        "https://www.vergentlms.com/the-best-loan-origination-software/",
        "https://infinitysoftware.com/picks/best-loan-origination-software",
        "https://aloan.ai/guides/best-commercial-lending-software",
        "https://www.abrigo.com/software/lending-and-credit-risk/"
      ]
    },
    {
      "record_id": "loan-origination-software|q1|Perplexity|1",
      "engine": "Perplexity",
      "question_id": "q1",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "224eeb5294f550f236820fede56569c1877fda8dd22b67ca4feb36b82101eac3",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 329,
      "cited_urls": [
        "https://www.loanpro.io/blog/best-loan-origination-software/",
        "https://aloan.ai/guides/best-commercial-lending-software",
        "https://aloan.ai/guides/best-loan-origination-software",
        "https://www.uptiq.ai/feeds/best-commercial-loan-origination-software-banks",
        "https://blog.digitalheroesco.com/best/best-loan-origination-software/",
        "https://www.multimodal.dev/post/best-loan-origination-software",
        "https://hesfintech.com/blog/top-best-loan-origination-software/",
        "https://thelosdirectory.com/best/loan-origination-software",
        "https://jinba.io/blog/best-automated-loan-systems",
        "https://thelosdirectory.com/segments/community-banks",
        "https://aloan.ai/guides/best-sba-lending-software",
        "https://thelosdirectory.com/",
        "https://hesfintech.com/blog/best-loan-origination-systems/",
        "https://www.uptiq.ai/feeds/best-commercial-lending-software-community-banks",
        "https://thelosdirectory.com/best/commercial-lending",
        "https://www.backbase.com/blog/loan-origination-software",
        "https://www.loanpro.io/blog/best-loan-servicing-software/",
        "https://www.fisglobal.com/products/fis-commercial-lending-suite/fis-commercial-loan-origination"
      ]
    },
    {
      "record_id": "loan-origination-software|q1|Perplexity|2",
      "engine": "Perplexity",
      "question_id": "q1",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "446d97a52de007f39ec4d04bca209680edea40bcc28ee06fa168db37dc7df95b",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 216,
      "cited_urls": [
        "https://www.loanpro.io/blog/best-loan-origination-software/",
        "https://aloan.ai/guides/best-commercial-lending-software",
        "https://aloan.ai/guides/best-loan-origination-software",
        "https://www.uptiq.ai/feeds/best-commercial-loan-origination-software-banks",
        "https://blog.digitalheroesco.com/best/best-loan-origination-software/",
        "https://www.multimodal.dev/post/best-loan-origination-software",
        "https://hesfintech.com/blog/top-best-loan-origination-software/",
        "https://thelosdirectory.com/best/loan-origination-software",
        "https://jinba.io/blog/best-automated-loan-systems",
        "https://thelosdirectory.com/segments/community-banks",
        "https://aloan.ai/guides/best-sba-lending-software",
        "https://thelosdirectory.com/",
        "https://hesfintech.com/blog/best-loan-origination-systems/",
        "https://www.uptiq.ai/feeds/best-commercial-lending-software-community-banks",
        "https://thelosdirectory.com/best/commercial-lending",
        "https://www.backbase.com/blog/loan-origination-software",
        "https://www.loanpro.io/blog/best-loan-servicing-software/",
        "https://www.fisglobal.com/products/fis-commercial-lending-suite/fis-commercial-loan-origination"
      ]
    },
    {
      "record_id": "loan-origination-software|q1|Perplexity|3",
      "engine": "Perplexity",
      "question_id": "q1",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "2395cee7e52992a3710cf5faa61f37c67e67be98eeb330a3fa83dfd2d68b65c7",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 281,
      "cited_urls": [
        "https://www.loanpro.io/blog/best-loan-origination-software/",
        "https://aloan.ai/guides/best-commercial-lending-software",
        "https://aloan.ai/guides/best-loan-origination-software",
        "https://www.uptiq.ai/feeds/best-commercial-loan-origination-software-banks",
        "https://blog.digitalheroesco.com/best/best-loan-origination-software/",
        "https://www.multimodal.dev/post/best-loan-origination-software",
        "https://hesfintech.com/blog/top-best-loan-origination-software/",
        "https://thelosdirectory.com/best/loan-origination-software",
        "https://jinba.io/blog/best-automated-loan-systems",
        "https://thelosdirectory.com/segments/community-banks",
        "https://aloan.ai/guides/best-sba-lending-software",
        "https://thelosdirectory.com/",
        "https://hesfintech.com/blog/best-loan-origination-systems/",
        "https://www.uptiq.ai/feeds/best-commercial-lending-software-community-banks",
        "https://thelosdirectory.com/best/commercial-lending",
        "https://www.backbase.com/blog/loan-origination-software",
        "https://www.loanpro.io/blog/best-loan-servicing-software/",
        "https://www.fisglobal.com/products/fis-commercial-lending-suite/fis-commercial-loan-origination"
      ]
    },
    {
      "record_id": "loan-origination-software|q2|ChatGPT|1",
      "engine": "ChatGPT",
      "question_id": "q2",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "ab024c8661c4e0de73b552423bcae53509af5506b2a7609d13b7dbc2255a9cae",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 70,
      "cited_urls": [
        "https://www.meridianlink.com/solutions/consumer-lending-software/?utm_source=openai",
        "https://origence.com/solutions/consumer-lending/loan-origination/",
        "https://mortgagetech.ice.com/products/encompass?utm_source=openai",
        "https://www.abrigo.com/software/lending-and-credit-risk/?utm_source=openai",
        "https://www.ncino.com/solutions/commercial-lending?utm_source=openai"
      ]
    },
    {
      "record_id": "loan-origination-software|q2|ChatGPT|2",
      "engine": "ChatGPT",
      "question_id": "q2",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "f0c3e0cc2e1b753bda5b4ff07b15cdde33fb049e279376c73d0fe53daa3e6134",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 106,
      "cited_urls": [
        "https://www.meridianlink.com/products/consumer-lending-software/?utm_source=openai",
        "https://origence.com/solutions/consumer-lending/loan-origination/?utm_source=openai",
        "https://origence.com/cudl/credit-unions/digital-contracting/?utm_source=openai",
        "https://mortgagetech.ice.com/products/encompass?utm_source=openai",
        "https://www.ncino.com/solutions/commercial-lending?utm_source=openai"
      ]
    },
    {
      "record_id": "loan-origination-software|q2|ChatGPT|3",
      "engine": "ChatGPT",
      "question_id": "q2",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "e8ae8110ecedefb85dcf0c4b579d21faa8ea5b26fa3fc486f3ae7f86e62e4b8b",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 70,
      "cited_urls": [
        "https://www.meridianlink.com/products/consumer-lending-software/?utm_source=openai",
        "https://origence.com/solutions/consumer-lending/loan-origination/?utm_source=openai",
        "https://origence.com/cudl/credit-unions/?utm_source=openai",
        "https://www.ncino.com/solutions/commercial-lending?utm_source=openai",
        "https://static.icemortgagetechnology.com/icemt/assets/pdf/brochure-encompass-platform-overview.pdf?utm_source=openai"
      ]
    },
    {
      "record_id": "loan-origination-software|q2|Claude|1",
      "engine": "Claude",
      "question_id": "q2",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "3830d1745f1faaec0edc7d928643a3f78897fd30620d882faf7bea9034f9ac81",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 280,
      "cited_urls": [
        "https://www.multimodal.dev/post/best-loan-origination-software",
        "https://hesfintech.com/blog/top-best-loan-origination-software/",
        "https://www.fusefinance.com/blog/5-best-loan-origination-platforms-for-credit-unions-in-2026-377e7",
        "https://www.moxo.com/blog/best-loan-origination-sofware",
        "https://timvero.com/blog/best-loan-origination-software"
      ]
    },
    {
      "record_id": "loan-origination-software|q2|Claude|2",
      "engine": "Claude",
      "question_id": "q2",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "226c692c223133a903e81656537d81890a1eccd8c36c57944efc35473d2589c5",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 280,
      "cited_urls": [
        "https://www.multimodal.dev/post/best-loan-origination-software",
        "https://hesfintech.com/blog/top-best-loan-origination-software/",
        "https://www.fusefinance.com/blog/5-best-loan-origination-platforms-for-credit-unions-in-2026-377e7",
        "https://www.moxo.com/blog/best-loan-origination-sofware",
        "https://timvero.com/blog/best-loan-origination-software",
        "https://www.loanpro.io/blog/best-loan-origination-software/"
      ]
    },
    {
      "record_id": "loan-origination-software|q2|Claude|3",
      "engine": "Claude",
      "question_id": "q2",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "e5cff79b5faa9e739dbe43bb0d10b577f837818e6b3e56562db7d5ef3ce09775",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 216,
      "cited_urls": [
        "https://hesfintech.com/blog/top-best-loan-origination-software/",
        "https://www.fusefinance.com/blog/5-best-loan-origination-platforms-for-credit-unions-in-2026-377e7",
        "https://www.moxo.com/blog/best-loan-origination-sofware",
        "https://timvero.com/blog/best-loan-origination-software",
        "https://www.multimodal.dev/post/best-loan-origination-software"
      ]
    },
    {
      "record_id": "loan-origination-software|q2|Google AI Mode|1",
      "engine": "Google AI Mode",
      "question_id": "q2",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "789051db70649e165b5714c73f944f9d34ffc958528aa0ff8f5c9de36121d83f",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 359,
      "cited_urls": [
        "https://www.fusefinance.com/blog/5-best-loan-origination-platforms-for-credit-unions-in-2026-377e7",
        "https://www.loanpro.io/blog/best-loan-origination-software/"
      ]
    },
    {
      "record_id": "loan-origination-software|q2|Google AI Mode|2",
      "engine": "Google AI Mode",
      "question_id": "q2",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "76d55f339e55782b19beebf5fa051b48a935d60c2d2ded095bf5e9bbc3f4c26d",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 305,
      "cited_urls": [
        "https://www.loanpro.io/blog/best-loan-origination-software/",
        "https://origence.com/solutions/consumer-lending/loan-origination/",
        "https://www.abrigo.com/software/lending-and-credit-risk/",
        "https://www.moxo.com/blog/best-loan-origination-sofware"
      ]
    },
    {
      "record_id": "loan-origination-software|q2|Google AI Mode|3",
      "engine": "Google AI Mode",
      "question_id": "q2",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "4449b9462bda9e04f8f007230f097fc38124c7aea89188ded9577b014d0110f7",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 63,
      "cited_urls": [
        "https://www.fusefinance.com/blog/5-best-loan-origination-platforms-for-credit-unions-in-2026-377e7",
        "https://www.moxo.com/blog/best-loan-origination-sofware",
        "https://www.loanpro.io/blog/best-loan-origination-software/"
      ]
    },
    {
      "record_id": "loan-origination-software|q2|Google AI Overviews|1",
      "engine": "Google AI Overviews",
      "question_id": "q2",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "002f6a849082ad539220bef7179795d7b06f2986712370a2364c5cebae870a42",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 286,
      "cited_urls": [
        "https://www.meridianlink.com/solutions/loan-origination-software/",
        "https://infinitysoftware.com/picks/best-loan-origination-software",
        "https://origence.com/solutions/consumer-lending/loan-origination/",
        "https://www.fusefinance.com/blog/5-best-loan-origination-platforms-for-credit-unions-in-2026-377e7",
        "https://www.fusefinance.com/credit-union-loan-software",
        "https://www.loanpro.io/blog/best-loan-origination-software/"
      ]
    },
    {
      "record_id": "loan-origination-software|q2|Google AI Overviews|2",
      "engine": "Google AI Overviews",
      "question_id": "q2",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "af4fd2eec14bf8a17774f9c0a8ad64ebce29001ca8859b0f36bda840ec11a481",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 137,
      "cited_urls": [
        "https://origence.com/",
        "https://infinitysoftware.com/picks/best-loan-origination-software",
        "https://origence.com/questions-asked-faq/",
        "https://www.meridianlink.com/products/consumer-lending-software/",
        "https://origence.com/solutions/automated-loan-decisioning/",
        "https://www.fiserv.com/en/solutions/digital-banking/consumer-lending/loan-origination.html",
        "https://www.fusefinance.com/credit-union-loan-software",
        "https://www.meridianlink.com/solutions/loan-origination-software/"
      ]
    },
    {
      "record_id": "loan-origination-software|q2|Google AI Overviews|3",
      "engine": "Google AI Overviews",
      "question_id": "q2",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "f689ff5623d64cd070580b6da6b019c7f23fdbe8551779b00ba035b3f601d8d3",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 0,
      "cited_urls": [
        "https://infinitysoftware.com/picks/best-loan-origination-software",
        "https://origence.com/solutions/consumer-lending/loan-origination/",
        "https://www.fusefinance.com/blog/5-best-loan-origination-platforms-for-credit-unions-in-2026-377e7",
        "https://www.loanpro.io/blog/best-loan-origination-software/",
        "https://creditunions.com/blogs/leaders-of-the-pack-the-top-20-cores-for-credit-unions/",
        "https://www.cucollaborate.com/blog/the-best-core-processors-for-credit-union-with-between-250-500-million-in-assets",
        "https://www.meridianlink.com/solutions/loan-origination-software/"
      ]
    },
    {
      "record_id": "loan-origination-software|q2|Perplexity|1",
      "engine": "Perplexity",
      "question_id": "q2",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "98d3b0940ea962c10b71a5f3311fae3f01d921ec3b2e32edb448c50f816ad197",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 256,
      "cited_urls": [
        "https://www.loanpro.io/blog/best-loan-origination-software/",
        "https://www.multimodal.dev/post/best-loan-origination-software",
        "https://creditunionlendingsoftware.com/best/consumer-loan-origination-software-for-credit-unions",
        "https://blog.digitalheroesco.com/best/best-loan-origination-software/",
        "https://worldmetrics.org/best/credit-union-loan-origination-software/",
        "https://thelosdirectory.com/",
        "https://gitnux.org/best/credit-union-loan-origination-software/",
        "https://gitnux.org/best/credit-union-lending-software/",
        "https://www.fusefinance.com/blog/5-best-loan-origination-platforms-for-credit-unions-in-2026-377e7",
        "https://www.multimodal.dev/post/ai-powered-lending-platforms-for-credit-unions",
        "https://us.fitgap.com/search/loan-software/credit-unions",
        "https://www.moxo.com/blog/best-loan-origination-sofware",
        "https://www.softwareadvice.com/loan-origination/",
        "https://www.abrigo.com/software/lending-and-credit-risk/",
        "https://aloan.ai/guides/best-commercial-lending-software",
        "https://www.capterra.com/loan-origination-software/"
      ]
    },
    {
      "record_id": "loan-origination-software|q2|Perplexity|2",
      "engine": "Perplexity",
      "question_id": "q2",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "573176977abc65eaf7d56c6906cfb10ae9f2cb91240d9edbca9278da25b40594",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 262,
      "cited_urls": [
        "https://www.loanpro.io/blog/best-loan-origination-software/",
        "https://www.multimodal.dev/post/best-loan-origination-software",
        "https://creditunionlendingsoftware.com/best/consumer-loan-origination-software-for-credit-unions",
        "https://blog.digitalheroesco.com/best/best-loan-origination-software/",
        "https://worldmetrics.org/best/credit-union-loan-origination-software/",
        "https://thelosdirectory.com/",
        "https://gitnux.org/best/credit-union-loan-origination-software/",
        "https://gitnux.org/best/credit-union-lending-software/",
        "https://www.fusefinance.com/blog/5-best-loan-origination-platforms-for-credit-unions-in-2026-377e7",
        "https://www.multimodal.dev/post/ai-powered-lending-platforms-for-credit-unions",
        "https://us.fitgap.com/search/loan-software/credit-unions",
        "https://www.moxo.com/blog/best-loan-origination-sofware",
        "https://www.softwareadvice.com/loan-origination/",
        "https://www.abrigo.com/software/lending-and-credit-risk/",
        "https://aloan.ai/guides/best-commercial-lending-software",
        "https://www.capterra.com/loan-origination-software/"
      ]
    },
    {
      "record_id": "loan-origination-software|q2|Perplexity|3",
      "engine": "Perplexity",
      "question_id": "q2",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "4e821ac5078fcc1631ff9ceafcdf512d64c52ac83b351d2b68ddf3e2d803ce3b",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 268,
      "cited_urls": [
        "https://www.loanpro.io/blog/best-loan-origination-software/",
        "https://www.multimodal.dev/post/best-loan-origination-software",
        "https://creditunionlendingsoftware.com/best/consumer-loan-origination-software-for-credit-unions",
        "https://blog.digitalheroesco.com/best/best-loan-origination-software/",
        "https://worldmetrics.org/best/credit-union-loan-origination-software/",
        "https://thelosdirectory.com/",
        "https://gitnux.org/best/credit-union-loan-origination-software/",
        "https://gitnux.org/best/credit-union-lending-software/",
        "https://www.fusefinance.com/blog/5-best-loan-origination-platforms-for-credit-unions-in-2026-377e7",
        "https://www.multimodal.dev/post/ai-powered-lending-platforms-for-credit-unions",
        "https://us.fitgap.com/search/loan-software/credit-unions",
        "https://www.moxo.com/blog/best-loan-origination-sofware",
        "https://www.softwareadvice.com/loan-origination/",
        "https://www.abrigo.com/software/lending-and-credit-risk/",
        "https://aloan.ai/guides/best-commercial-lending-software",
        "https://www.capterra.com/loan-origination-software/"
      ]
    },
    {
      "record_id": "loan-origination-software|q3|ChatGPT|1",
      "engine": "ChatGPT",
      "question_id": "q3",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "68d19b744255423d8a4fa3138e81ee25c5d8104f91c8ca660a4d5d64cab64c76",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 41,
      "cited_urls": [
        "https://www.arive.com/watch-demo?utm_source=openai",
        "https://lendingpad.com/business-type/broker/",
        "https://www.calyxsoftware.com/products/point?utm_source=openai",
        "https://www.arive.com/pricing",
        "https://support.arive.com/support/solutions/articles/61000271226-which-wholesale-lenders-are-integrated-with-arive-?utm_source=openai"
      ]
    },
    {
      "record_id": "loan-origination-software|q3|ChatGPT|2",
      "engine": "ChatGPT",
      "question_id": "q3",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "6f9085fb28f7c0b140579e0dd00b377632f6cb9089c0390c9297ecc89e189f24",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 41,
      "cited_urls": [
        "https://www.arive.com/pricing?utm_source=openai",
        "https://lendingpad.com/business-type/broker/",
        "https://www.calyxsoftware.com/products?utm_source=openai"
      ]
    },
    {
      "record_id": "loan-origination-software|q3|ChatGPT|3",
      "engine": "ChatGPT",
      "question_id": "q3",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "118359477857d73b07a519a69e6f0badb2b60ff3798659ff147205b46515e0a3",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 56,
      "cited_urls": [
        "https://www.arive.com/pricing",
        "https://lendingpad.com/business-type/broker/",
        "https://www.calyxsoftware.com/products/point?utm_source=openai"
      ]
    },
    {
      "record_id": "loan-origination-software|q3|Claude|1",
      "engine": "Claude",
      "question_id": "q3",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "4f9c927d16645ed89c362ddedf83b691d68ddda45141a9bce32ff7a1cce172e2",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 287,
      "cited_urls": [
        "https://nortridge.com/blog/best-mortgage-lending-software/",
        "https://setshape.com/blog/top-loan-origination-systems",
        "https://hesfintech.com/blog/top-best-loan-origination-software/",
        "https://getapprovr.com/calyx-point-alternatives",
        "https://www.softpullsolutions.com/blog/posts/2025/december/16-best-mortgage-loan-origination-software-companies-to-integrate-with-in-2026/",
        "https://www.classvaluation.com/blog/7-loan-origination-software-for-mortgage-brokers-compared/",
        "https://www.zeitro.com/blog/top-loan-origination-systems"
      ]
    },
    {
      "record_id": "loan-origination-software|q3|Claude|2",
      "engine": "Claude",
      "question_id": "q3",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "085913aed152f92d09b7edbce15fcbee20d3d37308f1ec7dc0fe3aa66575aaee",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 315,
      "cited_urls": [
        "https://nortridge.com/blog/best-mortgage-lending-software/",
        "https://setshape.com/blog/top-loan-origination-systems",
        "https://www.softpullsolutions.com/blog/posts/2025/december/16-best-mortgage-loan-origination-software-companies-to-integrate-with-in-2026/",
        "https://www.zeitro.com/blog/top-loan-origination-systems"
      ]
    },
    {
      "record_id": "loan-origination-software|q3|Claude|3",
      "engine": "Claude",
      "question_id": "q3",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "3ccce5092c42b6b48f22f7b9ea037469fa97898cde25396089dc703e96635182",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 285,
      "cited_urls": [
        "https://nortridge.com/blog/best-mortgage-lending-software/",
        "https://setshape.com/blog/top-loan-origination-systems",
        "https://hesfintech.com/blog/top-best-loan-origination-software/",
        "https://www.softpullsolutions.com/blog/posts/2025/december/16-best-mortgage-loan-origination-software-companies-to-integrate-with-in-2026/",
        "https://www.classvaluation.com/blog/7-loan-origination-software-for-mortgage-brokers-compared/",
        "https://getapprovr.com/calyx-point-alternatives",
        "https://www.zeitro.com/blog/best-loan-origination-software",
        "https://www.zeitro.com/blog/top-loan-origination-systems"
      ]
    },
    {
      "record_id": "loan-origination-software|q3|Google AI Mode|1",
      "engine": "Google AI Mode",
      "question_id": "q3",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "ac8753039181dd5854b36d12dc4315bc4f46caba405271f2965b35ffce976352",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 249,
      "cited_urls": [
        "https://setshape.com/blog/top-loan-origination-systems",
        "https://www.reddit.com/r/loanoriginators/comments/1hyswqh/best_los_for_brokers_opinions_needed/",
        "https://slashdot.org/software/comparison/ARIVE-vs-LendingPad/",
        "https://www.reddit.com/r/loanoriginators/comments/1o6h7cl/mortgage_broker_los/",
        "https://deelo.ai/blog/best-mortgage-broker-software-2026",
        "https://loanofficer.ai/blog/mortgage-crm-integrations-los-guide"
      ]
    },
    {
      "record_id": "loan-origination-software|q3|Google AI Mode|2",
      "engine": "Google AI Mode",
      "question_id": "q3",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "34d71559ec89200d6fe1905950ed552d829a4d00037a2c62faaa7932799eb722",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 0,
      "cited_urls": [
        "https://setshape.com/blog/top-loan-origination-systems",
        "https://www.mortgageadvisortools.com/blog/best-mortgage-pos-platforms-for-lenders-in-2025/",
        "https://www.reddit.com/r/loanoriginators/comments/1hyswqh/best_los_for_brokers_opinions_needed/"
      ]
    },
    {
      "record_id": "loan-origination-software|q3|Google AI Mode|3",
      "engine": "Google AI Mode",
      "question_id": "q3",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "44284b28e3f7f1f9db643146a61e81ffa02dd62d2859083e8d6b6eff9e0e73ef",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 375,
      "cited_urls": [
        "https://www.reddit.com/r/loanoriginators/comments/1o6h7cl/mortgage_broker_los/",
        "https://www.reddit.com/r/loanoriginators/comments/1hyswqh/best_los_for_brokers_opinions_needed/",
        "https://slashdot.org/software/comparison/ARIVE-vs-Calyx-Point/",
        "https://smartcapitalcenter.com/blog-post/12-best-mortgage-lending-loan-origination-software-for-2026"
      ]
    },
    {
      "record_id": "loan-origination-software|q3|Google AI Overviews|1",
      "engine": "Google AI Overviews",
      "question_id": "q3",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "ace964ba8416348346d22047490cbbe655501e3319a337213c217e01e941133a",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 34,
      "cited_urls": [
        "https://setshape.com/blog/top-loan-origination-systems",
        "https://www.mortgageadvisortools.com/blog/best-mortgage-pos-platforms-for-lenders-in-2025/"
      ]
    },
    {
      "record_id": "loan-origination-software|q3|Google AI Overviews|2",
      "engine": "Google AI Overviews",
      "question_id": "q3",
      "run": 2,
      "captured_at": "2026-09-22T23:35:28.000Z",
      "answer_sha256": "3a229469c559849a351ad53f97226d4dc764a7aa90df4d1cf85069285410a700",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 90,
      "cited_urls": [
        "https://setshape.com/blog/top-loan-origination-systems",
        "https://www.mortgageadvisortools.com/blog/best-mortgage-pos-platforms-for-lenders-in-2025/"
      ]
    },
    {
      "record_id": "loan-origination-software|q3|Google AI Overviews|3",
      "engine": "Google AI Overviews",
      "question_id": "q3",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "cd1386d2402b8f1273670807cc8a65033fd6a6eaf623ceb69334300f2a5cb65c",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 89,
      "cited_urls": [
        "https://www.reddit.com/r/loanoriginators/comments/1hyswqh/best_los_for_brokers_opinions_needed/",
        "https://setshape.com/blog/top-loan-origination-systems",
        "https://awesometechinc.com/top-7-mortgage-los-systems/",
        "https://awesometechinc.com/best-loan-origination-software/",
        "https://www.mortgageadvisortools.com/blog/best-mortgage-pos-platforms-for-lenders-in-2025/",
        "https://www.classvaluation.com/blog/7-loan-origination-software-for-mortgage-brokers-compared/"
      ]
    },
    {
      "record_id": "loan-origination-software|q3|Perplexity|1",
      "engine": "Perplexity",
      "question_id": "q3",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "58277be62b7939206dbe95b6fc239f7ae8c6523787e7f3259f4d4fa76de47ceb",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 72,
      "cited_urls": [
        "https://www.zeitro.com/blog/best-loan-origination-software",
        "https://thelosdirectory.com/best/fastest-los-implementation",
        "https://setshape.com/blog/top-loan-origination-systems",
        "https://lenderanalyzer.com/blog/best-loan-origination-software-for-mortgage-brokers",
        "https://www.lendertechstack.com/loan-origination-systems/",
        "https://www.spotsaas.com/category/loan-origination-software",
        "https://www.bluerate.ai/blog/best-mortgage-underwriting-software",
        "https://www.guideflow.com/blog/mortgage-software",
        "https://ainora.lt/blog/calyx-point-ai-review-alternatives-2026",
        "https://setshape.com/blog/best-mortgage-pos-systems",
        "https://ustechautomations.com/resources/blog/best-mortgage-point-of-sale-software-2026",
        "https://confersolutions.ai/blog/encompass-alternatives-mid-sized-lenders",
        "https://ustechautomations.com/resources/blog/automate-best-estimating-software-for-mortgage-brokers-2026",
        "https://loanofficer.ai/mortgage-career-center/vendors/byte-software",
        "https://www.fuzen.io/posts/10-best-mortgage-crm-software-for-brokers-and-loan-officers-2026",
        "https://thelosdirectory.com/",
        "https://www.mortgageadvisortools.com/blog/best-mortgage-pos-platforms-for-lenders-in-2025/",
        "https://leadpops.com/guide/best-mortgage-crm-software-2026",
        "https://ustechautomations.com/resources/blog/automate-best-loan-document-software-for-mortgage-brokers-2026",
        "https://gitnux.org/best/mortgage-los-software/"
      ]
    },
    {
      "record_id": "loan-origination-software|q3|Perplexity|2",
      "engine": "Perplexity",
      "question_id": "q3",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "73010c224e96b9a2ee3e4a1d350f8050585ef460b4ed1fc6e1f7a88bb001db9d",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 86,
      "cited_urls": [
        "https://www.zeitro.com/blog/best-loan-origination-software",
        "https://thelosdirectory.com/best/fastest-los-implementation",
        "https://setshape.com/blog/top-loan-origination-systems",
        "https://lenderanalyzer.com/blog/best-loan-origination-software-for-mortgage-brokers",
        "https://www.lendertechstack.com/loan-origination-systems/",
        "https://www.spotsaas.com/category/loan-origination-software",
        "https://www.bluerate.ai/blog/best-mortgage-underwriting-software",
        "https://www.guideflow.com/blog/mortgage-software",
        "https://ainora.lt/blog/calyx-point-ai-review-alternatives-2026",
        "https://setshape.com/blog/best-mortgage-pos-systems",
        "https://ustechautomations.com/resources/blog/best-mortgage-point-of-sale-software-2026",
        "https://confersolutions.ai/blog/encompass-alternatives-mid-sized-lenders",
        "https://ustechautomations.com/resources/blog/automate-best-estimating-software-for-mortgage-brokers-2026",
        "https://loanofficer.ai/mortgage-career-center/vendors/byte-software",
        "https://www.fuzen.io/posts/10-best-mortgage-crm-software-for-brokers-and-loan-officers-2026",
        "https://thelosdirectory.com/",
        "https://www.mortgageadvisortools.com/blog/best-mortgage-pos-platforms-for-lenders-in-2025/",
        "https://leadpops.com/guide/best-mortgage-crm-software-2026",
        "https://ustechautomations.com/resources/blog/automate-best-loan-document-software-for-mortgage-brokers-2026",
        "https://gitnux.org/best/mortgage-los-software/"
      ]
    },
    {
      "record_id": "loan-origination-software|q3|Perplexity|3",
      "engine": "Perplexity",
      "question_id": "q3",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "6351ff8624216a65f068580eaa02ebb59a693573a10bb48b7267aa3d1f657a07",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 70,
      "cited_urls": [
        "https://www.zeitro.com/blog/best-loan-origination-software",
        "https://thelosdirectory.com/best/fastest-los-implementation",
        "https://setshape.com/blog/top-loan-origination-systems",
        "https://lenderanalyzer.com/blog/best-loan-origination-software-for-mortgage-brokers",
        "https://www.lendertechstack.com/loan-origination-systems/",
        "https://www.spotsaas.com/category/loan-origination-software",
        "https://www.bluerate.ai/blog/best-mortgage-underwriting-software",
        "https://www.guideflow.com/blog/mortgage-software",
        "https://ainora.lt/blog/calyx-point-ai-review-alternatives-2026",
        "https://setshape.com/blog/best-mortgage-pos-systems",
        "https://ustechautomations.com/resources/blog/best-mortgage-point-of-sale-software-2026",
        "https://confersolutions.ai/blog/encompass-alternatives-mid-sized-lenders",
        "https://ustechautomations.com/resources/blog/automate-best-estimating-software-for-mortgage-brokers-2026",
        "https://loanofficer.ai/mortgage-career-center/vendors/byte-software",
        "https://www.fuzen.io/posts/10-best-mortgage-crm-software-for-brokers-and-loan-officers-2026",
        "https://thelosdirectory.com/",
        "https://www.mortgageadvisortools.com/blog/best-mortgage-pos-platforms-for-lenders-in-2025/",
        "https://leadpops.com/guide/best-mortgage-crm-software-2026",
        "https://ustechautomations.com/resources/blog/automate-best-loan-document-software-for-mortgage-brokers-2026",
        "https://gitnux.org/best/mortgage-los-software/"
      ]
    },
    {
      "record_id": "loan-origination-software|q4|ChatGPT|1",
      "engine": "ChatGPT",
      "question_id": "q4",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "ae729c3d8d707cadd801500cd096cff94f617644610c44ac275951016bb66a54",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 26,
      "cited_urls": [
        "https://lendingpad.com/sitemap?utm_source=openai",
        "https://www.arive.com/about?utm_source=openai",
        "https://bytesoftware.com/?utm_source=openai",
        "https://dmatter.com/empower-loan-origination-solution?utm_source=openai",
        "https://www.mortgagecadence.com/?utm_source=openai"
      ]
    },
    {
      "record_id": "loan-origination-software|q4|ChatGPT|2",
      "engine": "ChatGPT",
      "question_id": "q4",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "d57553a3d4541a26134f0b054ded4f701263acd92437df7eaa88c0abfc0e3ac7",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 20,
      "cited_urls": [
        "https://lendingpad.com/",
        "https://www.arive.com/about?utm_source=openai",
        "https://www.meridianlink.com/products/mortgage-software/?utm_source=openai",
        "https://dmatter.com/",
        "https://bytesoftware.com/?utm_source=openai"
      ]
    },
    {
      "record_id": "loan-origination-software|q4|ChatGPT|3",
      "engine": "ChatGPT",
      "question_id": "q4",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "d98677d30a2e394042d1c0b307de0e3c5af9d83c8eeda13ab937a58da7b66fa3",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 26,
      "cited_urls": [
        "https://lendingpad.com/solutions/brokers?utm_source=openai",
        "https://www.arive.com/watch-demo?utm_source=openai",
        "https://pages.meridianlink.com/mortgage-origination-system/?utm_source=openai",
        "https://dmatter.com/?utm_source=openai",
        "https://bytesoftware.com/?utm_source=openai"
      ]
    },
    {
      "record_id": "loan-origination-software|q4|Claude|1",
      "engine": "Claude",
      "question_id": "q4",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "c6aa0116cc50dc0605963fda4f4f3358bb4ed8cfbbd1f57039b792fa72df42b3",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 24,
      "cited_urls": [
        "https://sourceforge.net/software/product/Encompass-Loan-Origination/alternatives",
        "https://www.moxo.com/blog/best-loan-origination-sofware",
        "https://www.loanpro.io/blog/best-loan-origination-software/",
        "https://www.capterra.com/p/37038/Encompass360/alternatives/",
        "https://slashdot.org/software/p/Encompass-Loan-Origination/alternatives",
        "https://www.krowdbase.com/alternatives/encompass",
        "https://www.saasworthy.com/product-alternative/9391/encompass",
        "https://hesfintech.com/blog/top-best-loan-origination-software/"
      ]
    },
    {
      "record_id": "loan-origination-software|q4|Claude|2",
      "engine": "Claude",
      "question_id": "q4",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "0e0905055e3c3045ef5b52eefd343481c0205b3efe52477f0491f05a4a6d820c",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 2,
      "cited_urls": [
        "https://www.guideflow.com/blog/mortgage-software",
        "https://www.krowdbase.com/alternatives/encompass",
        "https://slashdot.org/software/p/Encompass-Loan-Origination/alternatives",
        "https://awesometechinc.com/encompass-vs-blend-and-other-los-which-one-is-best/",
        "https://www.capterra.com/p/37038/Encompass360/alternatives/",
        "https://sourceforge.net/software/product/Encompass-Loan-Origination/alternatives",
        "https://g2.com/compare/encompass-digital-mortgage-solution-vs-turnkey-lender",
        "https://www.zeitro.com/blog/best-loan-origination-software"
      ]
    },
    {
      "record_id": "loan-origination-software|q4|Claude|3",
      "engine": "Claude",
      "question_id": "q4",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "ef49950486509c8300c5847b9af37edfee138c541c1f3ad775b3801b8e9cf67a",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 98,
      "cited_urls": [
        "https://www.guideflow.com/blog/mortgage-software",
        "https://www.krowdbase.com/alternatives/encompass",
        "https://sourceforge.net/software/product/Encompass-Loan-Origination/alternatives",
        "https://slashdot.org/software/p/Encompass-Loan-Origination/alternatives",
        "https://awesometechinc.com/encompass-vs-blend-and-other-los-which-one-is-best/",
        "https://www.capterra.com/p/37038/Encompass360/alternatives/",
        "https://g2.com/compare/encompass-digital-mortgage-solution-vs-turnkey-lender",
        "https://www.zeitro.com/blog/best-loan-origination-software"
      ]
    },
    {
      "record_id": "loan-origination-software|q4|Google AI Mode|1",
      "engine": "Google AI Mode",
      "question_id": "q4",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "6770d2f6a5d2d648a547ec769fe39b2e1533f4fb460352d923e7d795cdfc3869",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 33,
      "cited_urls": [
        "https://setshape.com/blog/top-loan-origination-systems",
        "https://www.loanpro.io/blog/best-loan-origination-software/",
        "https://confersolutions.ai/blog/encompass-alternatives-mid-sized-lenders"
      ]
    },
    {
      "record_id": "loan-origination-software|q4|Google AI Mode|2",
      "engine": "Google AI Mode",
      "question_id": "q4",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "b4cf9775d6e418a3a74594caa026d624621aba790b6d14b7af39db0829e3b13d",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 37,
      "cited_urls": [
        "https://confersolutions.ai/blog/encompass-alternatives-mid-sized-lenders",
        "https://www.softwareadvice.com/product/133471-Encompass360/alternatives/"
      ]
    },
    {
      "record_id": "loan-origination-software|q4|Google AI Mode|3",
      "engine": "Google AI Mode",
      "question_id": "q4",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "fdb1e1b79232e66b54b256646e9aa043553f733b28a0a9dbce887c719290caa8",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 25,
      "cited_urls": [
        "https://confersolutions.ai/blog/encompass-alternatives-mid-sized-lenders",
        "https://www.softwareadvice.com/product/133471-Encompass360/alternatives/"
      ]
    },
    {
      "record_id": "loan-origination-software|q4|Google AI Overviews|1",
      "engine": "Google AI Overviews",
      "question_id": "q4",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "101bbc8e21db391b52c3a336c553a62a42fc7d08516ee3d2482ad22ea61e8733",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 25,
      "cited_urls": [
        "https://www.pragma.co/blog/encompass-loan-software-alternatives",
        "https://confersolutions.ai/blog/encompass-alternatives-mid-sized-lenders",
        "https://www.reddit.com/r/loanoriginators/comments/1htbo66/encompass_opinions/",
        "https://www.facebook.com/groups/mortgageprofessionals/posts/27821418407459611/",
        "https://www.capterra.com/p/37038/Encompass360/alternatives/",
        "https://www.krowdbase.com/alternatives/encompass"
      ]
    },
    {
      "record_id": "loan-origination-software|q4|Google AI Overviews|2",
      "engine": "Google AI Overviews",
      "question_id": "q4",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "f13de238559ef858fa387dd2493ddb2bf41e4141c061b217980554de07f209fd",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 25,
      "cited_urls": [
        "https://www.reddit.com/r/loanoriginators/comments/1htbo66/encompass_opinions/",
        "https://www.facebook.com/groups/mortgageprofessionals/posts/27821418407459611/",
        "https://confersolutions.ai/blog/encompass-alternatives-mid-sized-lenders",
        "https://www.g2.com/products/encompass/competitors/alternatives",
        "https://www.cbinsights.com/company/encompass1/alternatives-competitors"
      ]
    },
    {
      "record_id": "loan-origination-software|q4|Google AI Overviews|3",
      "engine": "Google AI Overviews",
      "question_id": "q4",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "c64e3da85b82852d92adf454599ca1fd4694f7ebaf13793e98292819b522e351",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 25,
      "cited_urls": [
        "https://www.reddit.com/r/loanoriginators/comments/1htbo66/encompass_opinions/",
        "https://confersolutions.ai/blog/encompass-alternatives-mid-sized-lenders",
        "https://www.facebook.com/groups/mortgageprofessionals/posts/27821418407459611/",
        "https://www.softwareadvice.com/product/133471-Encompass360/alternatives/",
        "https://www.capterra.com/p/37038/Encompass360/alternatives/",
        "https://www.marketbeat.com/stocks/NYSE/EHC/competitors-and-alternatives/"
      ]
    },
    {
      "record_id": "loan-origination-software|q4|Perplexity|1",
      "engine": "Perplexity",
      "question_id": "q4",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "b8b762b1755123d4f2e4742c70ca3d6307c9f5a6a93d442548e73f8ac88c2642",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 27,
      "cited_urls": [
        "https://www.capterra.com/p/37038/Encompass360/alternatives/",
        "https://toolradar.com/alternatives/encompass",
        "https://www.floowed.com/insights/encompass-alternatives",
        "https://www.g2.com/products/encompass/competitors/alternatives",
        "https://confersolutions.ai/blog/encompass-alternatives-mid-sized-lenders",
        "https://ainora.lt/blog/encompass-ai-review-alternatives-2026",
        "https://www.g2.com/products/encoura-encompass/competitors/alternatives",
        "https://loanwright.io/blog/encompass-alternatives",
        "https://nowfound.app/alternatives/encompass",
        "https://www.softwareadvice.com/product/133471-Encompass360/alternatives/",
        "https://thelosdirectory.com/alternatives/encompass",
        "https://www.softwaresuggest.com/encompass-imodules/alternatives",
        "https://sourceforge.net/software/product/Encompass/alternatives",
        "https://www.softwaresuggest.com/encompass8/alternatives",
        "https://www.capterra.co.za/alternatives/135344/encompass",
        "https://www.g2.com/products/ai-encompass/competitors/alternatives",
        "https://www.getapp.com/finance-accounting-software/a/encompass360/alternatives/",
        "https://www.g2.com/products/encompass-routing/competitors/alternatives"
      ]
    },
    {
      "record_id": "loan-origination-software|q4|Perplexity|2",
      "engine": "Perplexity",
      "question_id": "q4",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "886819da3aca105d77c365f5b739b33798bbe9330458f5372ae36ac9384ffe56",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 27,
      "cited_urls": [
        "https://toolradar.com/alternatives/encompass",
        "https://www.softwareadvice.com/product/133471-Encompass360/alternatives/",
        "https://www.capterra.com/p/37038/Encompass360/alternatives/",
        "https://www.floowed.com/insights/encompass-alternatives",
        "https://confersolutions.ai/blog/encompass-alternatives-mid-sized-lenders",
        "https://www.g2.com/products/encompass/competitors/alternatives",
        "https://www.pragma.co/blog/encompass-loan-software-alternatives",
        "https://nowfound.app/alternatives/encompass",
        "https://www.g2.com/products/encoura-encompass/competitors/alternatives",
        "https://ainora.lt/blog/encompass-ai-review-alternatives-2026",
        "https://loanwright.io/blog/encompass-alternatives",
        "https://thelosdirectory.com/alternatives/encompass",
        "https://www.softwaresuggest.com/encompass-imodules/alternatives",
        "https://sourceforge.net/software/product/Encompass/alternatives",
        "https://www.getapp.co.uk/alternatives/2052232/encompass-1",
        "https://www.softwaresuggest.com/encompass8/alternatives",
        "https://www.capterra.co.za/alternatives/135344/encompass",
        "https://www.g2.com/products/ai-encompass/competitors/alternatives",
        "https://www.getapp.com/finance-accounting-software/a/encompass360/alternatives/",
        "https://www.g2.com/products/encompass-routing/competitors/alternatives"
      ]
    },
    {
      "record_id": "loan-origination-software|q4|Perplexity|3",
      "engine": "Perplexity",
      "question_id": "q4",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "f730950983a88eb9843293e4ccd658b4728b9552b7c33dda1a4077de90699d35",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 27,
      "cited_urls": [
        "https://toolradar.com/alternatives/encompass",
        "https://www.softwareadvice.com/product/133471-Encompass360/alternatives/",
        "https://www.capterra.com/p/37038/Encompass360/alternatives/",
        "https://www.floowed.com/insights/encompass-alternatives",
        "https://confersolutions.ai/blog/encompass-alternatives-mid-sized-lenders",
        "https://www.g2.com/products/encompass/competitors/alternatives",
        "https://www.pragma.co/blog/encompass-loan-software-alternatives",
        "https://nowfound.app/alternatives/encompass",
        "https://www.g2.com/products/encoura-encompass/competitors/alternatives",
        "https://ainora.lt/blog/encompass-ai-review-alternatives-2026",
        "https://loanwright.io/blog/encompass-alternatives",
        "https://thelosdirectory.com/alternatives/encompass",
        "https://www.softwaresuggest.com/encompass-imodules/alternatives",
        "https://sourceforge.net/software/product/Encompass/alternatives",
        "https://www.getapp.co.uk/alternatives/2052232/encompass-1",
        "https://www.softwaresuggest.com/encompass8/alternatives",
        "https://www.capterra.co.za/alternatives/135344/encompass",
        "https://www.g2.com/products/ai-encompass/competitors/alternatives",
        "https://www.getapp.com/finance-accounting-software/a/encompass360/alternatives/",
        "https://www.g2.com/products/encompass-routing/competitors/alternatives"
      ]
    },
    {
      "record_id": "loan-origination-software|q5|ChatGPT|1",
      "engine": "ChatGPT",
      "question_id": "q5",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "7933a9b0a45fd159a1e1f57bc03f773414d020a0f3876c09eea6700c486ab458",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 17,
      "cited_urls": [
        "https://origence.com/solutions/consumer-lending/loan-origination/?utm_source=openai",
        "https://www.temenos.com/specialized/credit-unions-and-community/temenos-origination/?utm_source=openai",
        "https://static.icemortgagetechnology.com/icemt/assets/pdf/brochure-encompass-platform-overview.pdf?utm_source=openai",
        "https://www.mantl.com/news/mantl-news/mantl-in-branch-account-opening-emerges-as-the-platforms-top-growth-channel-in-2026/?utm_source=openai",
        "https://www.ncino.com/solutions/commercial-lending?utm_source=openai",
        "https://www.abrigo.com/software/lending-and-credit-risk/sageworks-lending-software/?utm_source=openai",
        "https://blend.com/company/newsroom/blend-integration-meridianlink-mortgage-meridianlink-consumer-an-decisionlender/?utm_source=openai"
      ]
    },
    {
      "record_id": "loan-origination-software|q5|ChatGPT|2",
      "engine": "ChatGPT",
      "question_id": "q5",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "b4ba3633d55496e28c72021151a909db275626c8a63e9a9bbdfe6d79eaea9d77",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 50,
      "cited_urls": [
        "https://www.meridianlink.com/solutions/banking-software/?utm_source=openai",
        "https://origence.com/solutions/consumer-lending/loan-origination/?utm_source=openai",
        "https://www.temenos.com/specialized/credit-unions-and-community/temenos-origination/?utm_source=openai",
        "https://static.icemortgagetechnology.com/icemt/assets/pdf/brochure-encompass-platform-overview.pdf?utm_source=openai",
        "https://www.ncino.com/our-platform?utm_source=openai",
        "https://www.abrigo.com/software/lending-and-credit-risk/?utm_source=openai",
        "https://blend.com/platform/?utm_source=openai",
        "https://www.alkami.com/mantl-onboarding-account-opening/?utm_source=openai"
      ]
    },
    {
      "record_id": "loan-origination-software|q5|ChatGPT|3",
      "engine": "ChatGPT",
      "question_id": "q5",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "ca8de2a35c30f4e678ec5203ad075eae1bcd16099858782a9031923311092399",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 2,
      "cited_urls": [
        "https://origence.com/solutions/consumer-lending/loan-origination/?utm_source=openai",
        "https://www.temenos.com/specialized/credit-unions-and-community/temenos-origination/?utm_source=openai",
        "https://www.alkami.com/mantl-onboarding-account-opening/?utm_source=openai",
        "https://static.icemortgagetechnology.com/icemt/assets/pdf/brochure-encompass-platform-overview.pdf?utm_source=openai",
        "https://www.ncino.com/our-platform?utm_source=openai",
        "https://blend.com/platform/?utm_source=openai"
      ]
    },
    {
      "record_id": "loan-origination-software|q5|Claude|1",
      "engine": "Claude",
      "question_id": "q5",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "5d5991dee41bad5e7a61ec4c7da0d1327bed486088863b666bff53154af26ed9",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 61,
      "cited_urls": [
        "https://www.openbankingtracker.com/banktech-providers/meridianlink/alternatives",
        "https://www.g2.com/products/meridianlink-mortgage/competitors/alternatives",
        "https://hesfintech.com/blog/top-best-loan-origination-software/",
        "https://www.g2.com/products/meridianlink-consumer/competitors/alternatives",
        "https://slashdot.org/software/comparison/Encompass-Loan-Origination-vs-MeridianLink-Mortgage/",
        "https://www.loanpro.io/blog/best-loan-origination-software/",
        "https://aloan.ai/compare/meridianlink-alternatives",
        "https://www.capterra.com/p/190140/LoansPQ/alternatives/",
        "https://www.g2.com/products/meridianlink-creditapi/competitors/alternatives",
        "https://sourceforge.net/software/product/MeridianLink-Opening/alternatives",
        "https://www.krowdbase.com/alternatives/meridianlink-consumer"
      ]
    },
    {
      "record_id": "loan-origination-software|q5|Claude|2",
      "engine": "Claude",
      "question_id": "q5",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "c912f1e21ce52bf190fd453c3ff7da5adb532001c427d0f5e18f0f38cdd86423",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 61,
      "cited_urls": [
        "https://www.openbankingtracker.com/banktech-providers/meridianlink/alternatives",
        "https://www.g2.com/products/meridianlink-mortgage/competitors/alternatives",
        "https://hesfintech.com/blog/top-best-loan-origination-software/",
        "https://www.g2.com/products/meridianlink-consumer/competitors/alternatives",
        "https://slashdot.org/software/comparison/Encompass-Loan-Origination-vs-MeridianLink-Mortgage/",
        "https://www.g2.com/products/encompass-digital-mortgage-solution/competitors/alternatives",
        "https://aloan.ai/compare/meridianlink-alternatives",
        "https://sourceforge.net/software/product/MeridianLink-Opening/alternatives",
        "https://www.g2.com/products/meridianlink-creditapi/competitors/alternatives",
        "https://www.capterra.com/p/190140/LoansPQ/alternatives/"
      ]
    },
    {
      "record_id": "loan-origination-software|q5|Claude|3",
      "engine": "Claude",
      "question_id": "q5",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "dc6791ff3522df4845d0e1ac9e1b11b93d7c5e524ceda096c710701b1d2dfe4e",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 61,
      "cited_urls": [
        "https://www.openbankingtracker.com/banktech-providers/meridianlink/alternatives",
        "https://www.g2.com/products/meridianlink-mortgage/competitors/alternatives",
        "https://hesfintech.com/blog/top-best-loan-origination-software/",
        "https://www.g2.com/products/meridianlink-consumer/competitors/alternatives",
        "https://slashdot.org/software/comparison/Encompass-Loan-Origination-vs-MeridianLink-Mortgage/",
        "https://sourceforge.net/software/product/MeridianLink-Opening/alternatives",
        "https://www.g2.com/products/meridianlink-creditapi/competitors/alternatives",
        "https://www.capterra.com/p/190140/LoansPQ/alternatives/",
        "https://aloan.ai/compare/meridianlink-alternatives"
      ]
    },
    {
      "record_id": "loan-origination-software|q5|Google AI Mode|1",
      "engine": "Google AI Mode",
      "question_id": "q5",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "d4ac0fac6478680c3e34bdca9a7fbac587862c092082f35212122e0ca305bf6b",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 39,
      "cited_urls": [
        "https://www.openbankingtracker.com/banktech-providers/meridianlink/alternatives",
        "https://www.loanpro.io/blog/best-loan-origination-software/",
        "https://aloan.ai/compare/meridianlink-alternatives"
      ]
    },
    {
      "record_id": "loan-origination-software|q5|Google AI Mode|2",
      "engine": "Google AI Mode",
      "question_id": "q5",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "cdae920135653f4ed066402bd71116c9afa2f2582cacb3442e2c9f2bdd0e8986",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 33,
      "cited_urls": [
        "https://aloan.ai/compare/meridianlink-alternatives",
        "https://sourceforge.net/software/compare/LoanPro-Software-vs-MeridianLink-Consumer/",
        "https://sourceforge.net/software/compare/MeridianLink-Opening-vs-nCino/",
        "https://www.loanpro.io/blog/best-loan-origination-software/",
        "https://www.openbankingtracker.com/banktech-providers/meridianlink/alternatives",
        "https://www.meridianlink.com/",
        "https://www.ncino.com/",
        "https://www.loanpro.io/",
        "https://blend.com/",
        "https://www.abrigo.com/",
        "https://www.finastra.com/"
      ]
    },
    {
      "record_id": "loan-origination-software|q5|Google AI Mode|3",
      "engine": "Google AI Mode",
      "question_id": "q5",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "8a6690af254aab6dc4e87aecea1ce06d28fc03348a53c57c27a583aba3a7dc52",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 33,
      "cited_urls": [
        "https://www.g2.com/products/meridianlink-consumer/competitors/alternatives",
        "https://www.openbankingtracker.com/banktech-providers/meridianlink/alternatives",
        "https://aloan.ai/compare/meridianlink-alternatives"
      ]
    },
    {
      "record_id": "loan-origination-software|q5|Google AI Overviews|1",
      "engine": "Google AI Overviews",
      "question_id": "q5",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "c37aa6de0aa85dd0479d62e1a0b73117c0c8de449c805c386210659444919630",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 25,
      "cited_urls": [
        "https://aloan.ai/compare/meridianlink-alternatives",
        "https://www.openbankingtracker.com/banktech-providers/meridianlink/alternatives",
        "https://www.g2.com/products/meridianlink-consumer/competitors/alternatives",
        "https://confersolutions.ai/blog/encompass-alternatives-mid-sized-lenders"
      ]
    },
    {
      "record_id": "loan-origination-software|q5|Google AI Overviews|2",
      "engine": "Google AI Overviews",
      "question_id": "q5",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "fbf8f9150c59ae351bc7e00cb4c6d0caa47b099ac4cb065c347b8b4be42abb5d",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 25,
      "cited_urls": [
        "https://www.g2.com/products/meridianlink-consumer/competitors/alternatives",
        "https://www.openbankingtracker.com/banktech-providers/meridianlink/alternatives",
        "https://confersolutions.ai/blog/encompass-alternatives-mid-sized-lenders",
        "https://www.g2.com/products/meridianlink-mortgage/competitors/alternatives"
      ]
    },
    {
      "record_id": "loan-origination-software|q5|Google AI Overviews|3",
      "engine": "Google AI Overviews",
      "question_id": "q5",
      "run": 3,
      "captured_at": "2026-09-22T23:35:28.000Z",
      "answer_sha256": "67922a652dc16c0d4039bff11218ff57b1c783c55f67225d91966bfe31906501",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 25,
      "cited_urls": [
        "https://www.openbankingtracker.com/banktech-providers/meridianlink/alternatives",
        "https://aloan.ai/compare/meridianlink-alternatives",
        "https://www.meridianlink.com/what-we-offer/",
        "https://www.youtube.com/watch?v=i-HZ9okCWRo&t=21",
        "https://www.g2.com/products/meridianlink-consumer/competitors/alternatives",
        "https://www.g2.com/products/meridianlink-mortgage/competitors/alternatives"
      ]
    },
    {
      "record_id": "loan-origination-software|q5|Perplexity|1",
      "engine": "Perplexity",
      "question_id": "q5",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "b60e50db566f7af7a52d9655d8614e2a7b0bc0443ff26331028d496f6e64bdf6",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 11,
      "cited_urls": [
        "https://www.openbankingtracker.com/banktech-providers/meridianlink/alternatives",
        "https://joinaerial.com/blog/meridianlink-alternatives",
        "https://www.capterra.com/p/190139/MeridianLink/alternatives/",
        "https://www.g2.com/products/meridianlink-opening/competitors/alternatives",
        "https://www.g2.com/products/meridianlink-consumer/competitors/alternatives",
        "https://www.g2.com/products/meridianlink-mortgage/competitors/alternatives",
        "https://www.cbinsights.com/company/meridianlink/alternatives-competitors",
        "https://www.softwareadvice.com/loan-origination/loanspq-profile/alternatives/",
        "https://ainora.lt/blog/meridianlink-ai-review-alternatives-2026",
        "https://lenderanalyzer.com/meridianlink-alternative",
        "https://aloan.ai/compare/meridianlink-alternatives",
        "https://www.g2.com/products/meridianlink-access/competitors/alternatives",
        "https://www.g2.com/products/meridianlink-one/competitors/alternatives",
        "https://www.capterra.co.uk/alternatives/123177/lendingqb",
        "https://www.getapp.com/finance-accounting-software/a/loanspq/alternatives/",
        "https://slashdot.org/software/p/MeridianLink-Consulting/alternatives",
        "https://slashdot.org/software/p/MeridianLink-Opening/alternatives",
        "https://slashdot.org/software/p/Google-Meridian/alternatives",
        "https://slashdot.org/software/p/MeridianLink-Data-Connect/alternatives"
      ]
    },
    {
      "record_id": "loan-origination-software|q5|Perplexity|2",
      "engine": "Perplexity",
      "question_id": "q5",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "a389d9299c03207f5a351f6f2774b2ea78982fe49cbe8dae12905971ab19fcae",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 11,
      "cited_urls": [
        "https://www.openbankingtracker.com/banktech-providers/meridianlink/alternatives",
        "https://joinaerial.com/blog/meridianlink-alternatives",
        "https://www.capterra.com/p/190139/MeridianLink/alternatives/",
        "https://www.g2.com/products/meridianlink-opening/competitors/alternatives",
        "https://www.g2.com/products/meridianlink-consumer/competitors/alternatives",
        "https://www.g2.com/products/meridianlink-mortgage/competitors/alternatives",
        "https://www.cbinsights.com/company/meridianlink/alternatives-competitors",
        "https://www.softwareadvice.com/loan-origination/loanspq-profile/alternatives/",
        "https://ainora.lt/blog/meridianlink-ai-review-alternatives-2026",
        "https://lenderanalyzer.com/meridianlink-alternative",
        "https://aloan.ai/compare/meridianlink-alternatives",
        "https://www.g2.com/products/meridianlink-access/competitors/alternatives",
        "https://www.g2.com/products/meridianlink-one/competitors/alternatives",
        "https://www.capterra.co.uk/alternatives/123177/lendingqb",
        "https://www.getapp.com/finance-accounting-software/a/loanspq/alternatives/",
        "https://slashdot.org/software/p/MeridianLink-Consulting/alternatives",
        "https://slashdot.org/software/p/MeridianLink-Opening/alternatives",
        "https://slashdot.org/software/p/Google-Meridian/alternatives",
        "https://slashdot.org/software/p/MeridianLink-Data-Connect/alternatives"
      ]
    },
    {
      "record_id": "loan-origination-software|q5|Perplexity|3",
      "engine": "Perplexity",
      "question_id": "q5",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "ca5fb968c9717af19b74894e5dcfe4dc6a8094d81ef993ff6bfad82cb3661388",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 27,
      "cited_urls": [
        "https://www.openbankingtracker.com/banktech-providers/meridianlink/alternatives",
        "https://joinaerial.com/blog/meridianlink-alternatives",
        "https://www.capterra.com/p/190139/MeridianLink/alternatives/",
        "https://www.g2.com/products/meridianlink-opening/competitors/alternatives",
        "https://www.g2.com/products/meridianlink-consumer/competitors/alternatives",
        "https://www.g2.com/products/meridianlink-mortgage/competitors/alternatives",
        "https://www.cbinsights.com/company/meridianlink/alternatives-competitors",
        "https://www.softwareadvice.com/loan-origination/loanspq-profile/alternatives/",
        "https://ainora.lt/blog/meridianlink-ai-review-alternatives-2026",
        "https://lenderanalyzer.com/meridianlink-alternative",
        "https://aloan.ai/compare/meridianlink-alternatives",
        "https://www.g2.com/products/meridianlink-access/competitors/alternatives",
        "https://www.g2.com/products/meridianlink-one/competitors/alternatives",
        "https://www.capterra.co.uk/alternatives/123177/lendingqb",
        "https://www.getapp.com/finance-accounting-software/a/loanspq/alternatives/",
        "https://slashdot.org/software/p/MeridianLink-Consulting/alternatives",
        "https://slashdot.org/software/p/MeridianLink-Opening/alternatives",
        "https://slashdot.org/software/p/Google-Meridian/alternatives",
        "https://slashdot.org/software/p/MeridianLink-Data-Connect/alternatives"
      ]
    },
    {
      "record_id": "loan-origination-software|q6|ChatGPT|1",
      "engine": "ChatGPT",
      "question_id": "q6",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "97e2a836a14d192bb1b9d39a39f4c5289aac34547fcf767ada330c0cbaf62384",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 28,
      "cited_urls": [
        "https://www.abrigo.com/software/lending-and-credit-risk/?utm_source=openai",
        "https://bakerhill.com/news/baker-hill-launches-un-fy/?utm_source=openai",
        "https://www.jackhenry.com/hubfs/resources/guides/JH-Brand-Technology-Guide-Banks.pdf?utm_source=openai",
        "https://newgensoft.com/solutions/industries/financial-institutions/lending-loan-origination/?utm_source=openai",
        "https://www.meridianlink.com/solutions/consumer-lending-software/?utm_source=openai",
        "https://blend.com/products/mortgage-suite/?utm_source=openai"
      ]
    },
    {
      "record_id": "loan-origination-software|q6|ChatGPT|2",
      "engine": "ChatGPT",
      "question_id": "q6",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "085f90dd7e3c014ef651e9797c0a54774a4ecccccd80840f83bc027e412378ba",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 41,
      "cited_urls": [
        "https://www.abrigo.com/software/lending-and-credit-risk/?utm_source=openai",
        "https://bakerhill.com/commercial-lending?utm_source=openai",
        "https://newgensoft.com/solutions/industries/financial-institutions/lending-loan-origination/",
        "https://www.fisglobal.com/products/fis-commercial-lending-suite/fis-commercial-loan-origination?utm_source=openai",
        "https://www.meridianlink.com/products/consumer-lending-software/?utm_source=openai",
        "https://blend.com/products/mortgage-suite/?utm_source=openai"
      ]
    },
    {
      "record_id": "loan-origination-software|q6|ChatGPT|3",
      "engine": "ChatGPT",
      "question_id": "q6",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "49e8593b72d10e97bcaec5df24421b4452da1b58332c63e88de056e0a69c1a3a",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 28,
      "cited_urls": [
        "https://www.abrigo.com/software/lending-and-credit-risk/sageworks-lending-software/?utm_source=openai",
        "https://www.abrigo.com/software/lending-and-credit-risk/?utm_source=openai",
        "https://bakerhill.com/commercial-lending?utm_source=openai",
        "https://newgensoft.com/solutions/industries/financial-institutions/lending-loan-origination/?utm_source=openai",
        "https://www.moodys.com/web/en/us/insights/data/from-local-to-leader-a-community-banks-data-efficiency-transformation.html?utm_source=openai",
        "https://www.meridianlink.com/products/consumer-lending-software/?utm_source=openai",
        "https://blend.com/products/mortgage-suite/?utm_source=openai",
        "https://www.finastra.com/lending/solutions/loan-iq?utm_source=openai"
      ]
    },
    {
      "record_id": "loan-origination-software|q6|Claude|1",
      "engine": "Claude",
      "question_id": "q6",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "a6bf47e76434ac89d5eca6b8e26a50cf575a845d9e3fe471a19c98c728b46c9f",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 61,
      "cited_urls": [
        "https://www.meniga.com/guides/ncino-alternatives/",
        "https://aloan.ai/compare/ncino-alternatives",
        "https://www.crediflow.ai/compare/abrigo-alternatives",
        "https://www.crediflow.ai/compare/baker-hill-alternatives",
        "https://thelosdirectory.com/best/commercial-lending-software",
        "https://www.crediflow.ai/compare/meridianlink-alternatives",
        "https://www.openbankingtracker.com/banktech-providers/ncino/alternatives",
        "https://aloan.ai/compare/meridianlink-alternatives",
        "https://www.g2.com/products/ncino-s-mortgage-suite/competitors/alternatives",
        "https://www.capterra.com/p/140944/nCino/alternatives/",
        "https://www.softwareworld.co/competitors/ncino-cloud-banking-platform-alternatives/",
        "https://www.crediflow.ai/compare/ncino-alternatives"
      ]
    },
    {
      "record_id": "loan-origination-software|q6|Claude|2",
      "engine": "Claude",
      "question_id": "q6",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "6a1bde55ff9775354521b6b2c71f417cbe550862edd166152d88988cab0efd2e",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 61,
      "cited_urls": [
        "https://www.meniga.com/guides/ncino-alternatives/",
        "https://www.g2.com/products/ncino-s-mortgage-suite/competitors/alternatives",
        "https://www.loanpro.io/blog/best-loan-origination-software/",
        "https://aloan.ai/compare/ncino-alternatives",
        "https://sourceforge.net/software/product/nCino/alternatives",
        "https://www.crediflow.ai/compare/ncino-alternatives",
        "https://www.openbankingtracker.com/banktech-providers/ncino/alternatives",
        "https://wifitalents.com/best/commercial-lending-origination-software/",
        "https://www.capterra.com/p/140944/nCino/alternatives/",
        "https://www.softwareworld.co/competitors/ncino-cloud-banking-platform-alternatives/",
        "https://aloan.ai/compare/meridianlink-alternatives"
      ]
    },
    {
      "record_id": "loan-origination-software|q6|Claude|3",
      "engine": "Claude",
      "question_id": "q6",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "bed4fe862b755122982bc20d93978d4e081c44c94261f2008fe44442cf6f68e6",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 63,
      "cited_urls": [
        "https://www.meniga.com/guides/ncino-alternatives/",
        "https://www.g2.com/products/ncino-s-mortgage-suite/competitors/alternatives",
        "https://www.loanpro.io/blog/best-loan-origination-software/",
        "https://aloan.ai/compare/ncino-alternatives",
        "https://gitnux.org/best/loan-tracker-software/",
        "https://www.crediflow.ai/compare/ncino-alternatives",
        "https://www.capterra.com/p/140944/nCino/alternatives/",
        "https://aloan.ai/compare/meridianlink-alternatives",
        "https://www.softwareworld.co/competitors/ncino-cloud-banking-platform-alternatives/"
      ]
    },
    {
      "record_id": "loan-origination-software|q6|Google AI Mode|1",
      "engine": "Google AI Mode",
      "question_id": "q6",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "78ec23685c778492a5e87dceffddca81c030e490e93f75ed83d351ff75b15f6a",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 25,
      "cited_urls": [
        "https://www.crediflow.ai/compare/ncino-alternatives",
        "https://aloan.ai/compare/ncino-alternatives",
        "https://www.bankstride.com/alternatives-to-ncino-and-comparision-competitors"
      ]
    },
    {
      "record_id": "loan-origination-software|q6|Google AI Mode|2",
      "engine": "Google AI Mode",
      "question_id": "q6",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "c7a68205e7b4d76892c57382182f2dae9fff107a31e2c672cf12e3b8c5e93593",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 33,
      "cited_urls": [
        "https://aloan.ai/compare/ncino-alternatives",
        "https://www.loanpro.io/blog/best-loan-origination-software/",
        "https://www.gartner.com/reviews/product/ncino-cloud-banking-platform/alternatives"
      ]
    },
    {
      "record_id": "loan-origination-software|q6|Google AI Mode|3",
      "engine": "Google AI Mode",
      "question_id": "q6",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "9099c65dff69ad7bd0ea140e43daf9afb553360d8696ac4f8c412cc7023e5c29",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 0,
      "cited_urls": [
        "https://aloan.ai/guides/best-commercial-lending-software-credit-unions",
        "https://lendfoundry.com/blog/best-commercial-lending-software-2026-features-pricing-comparisons/",
        "https://www.crediflow.ai/compare/ncino-alternatives",
        "https://aloan.ai/compare/ncino-alternatives",
        "https://www.crediflow.ai/compare/baker-hill-alternatives",
        "https://www.loanpro.io/blog/best-loan-origination-software/"
      ]
    },
    {
      "record_id": "loan-origination-software|q6|Google AI Overviews|1",
      "engine": "Google AI Overviews",
      "question_id": "q6",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "f853c8050ce365f4cee0207c5ec2399be9c28e9df0a3420f0f1892aea4bb2848",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 20,
      "cited_urls": [
        "https://www.gartner.com/reviews/product/ncino-cloud-banking-platform/alternatives",
        "https://www.crediflow.ai/compare/ncino-alternatives",
        "https://www.bankstride.com/alternatives-to-ncino-and-comparision-competitors",
        "https://www.openbankingtracker.com/banktech-providers/ncino/alternatives",
        "https://www.gartner.com/reviews/product/ncino-cloud-banking-platform",
        "https://www.g2.com/products/ncino-s-mortgage-suite/competitors/alternatives",
        "https://www.g2.com/products/ncino-cloud-banking-platform/competitors/alternatives",
        "https://www.ncino.com/"
      ]
    },
    {
      "record_id": "loan-origination-software|q6|Google AI Overviews|2",
      "engine": "Google AI Overviews",
      "question_id": "q6",
      "run": 2,
      "captured_at": "2026-09-22T23:35:28.000Z",
      "answer_sha256": "9ec8d2bdfe3d6248e23dba5a51759dbd37956a3681a020b1efbf96a3b031a233",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 25,
      "cited_urls": [
        "https://www.crediflow.ai/compare/ncino-alternatives",
        "https://aloan.ai/compare/ncino-alternatives",
        "https://hesfintech.com/blog/top-commercial-loan-underwriting-software/",
        "https://aloan.ai/compare/baker-hill-alternatives",
        "https://aloan.ai/guides/best-loan-origination-software",
        "https://www.crediflow.ai/compare/moodys-creditlens-alternatives",
        "https://lendpipe.ai/compare/ncino-alternatives"
      ]
    },
    {
      "record_id": "loan-origination-software|q6|Google AI Overviews|3",
      "engine": "Google AI Overviews",
      "question_id": "q6",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "7c0a116d4b7ee7ec5bcd7815549e367dcf2bdff25c02987f6783bca88e8f19f8",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 25,
      "cited_urls": [
        "https://aloan.ai/compare/ncino-alternatives",
        "https://www.bankstride.com/alternatives-to-ncino-and-comparision-competitors",
        "https://aloan.ai/compare/aloan-vs-ncino",
        "https://timvero.com/blog/best-loan-origination-software",
        "https://www.openbankingtracker.com/banktech-providers/ncino/alternatives",
        "https://www.loanpro.io/blog/best-loan-origination-software/",
        "https://www.g2.com/products/ncino-cloud-banking-platform/competitors/alternatives",
        "https://aloan.ai/guides/best-commercial-lending-software",
        "https://aloan.ai/guides/best-ai-underwriting-community-banks",
        "https://aloan.ai/guides/best-loan-origination-software",
        "https://www.uptiq.ai/compare/uptiq-vs-ncino",
        "https://lendpipe.ai/compare/ncino-alternatives",
        "https://www.loanpro.io/blog/best-loan-management-software/",
        "https://www.gartner.com/reviews/product/ncino-cloud-banking-platform/alternatives",
        "https://www.abrigo.com/",
        "https://www.meridianlink.com/",
        "https://www.bakerhill.com/",
        "https://www.finastra.com/",
        "https://aloan.ai/",
        "https://www.uptiq.ai/",
        "https://www.q2.com/",
        "https://www.backbase.com/"
      ]
    },
    {
      "record_id": "loan-origination-software|q6|Perplexity|1",
      "engine": "Perplexity",
      "question_id": "q6",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "8cbc94ddd8ee0041cf413914d7c3650449fe8945acdb89d7f1cc1aa72405fa14",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 27,
      "cited_urls": [
        "https://www.meniga.com/guides/ncino-alternatives/",
        "https://www.openbankingtracker.com/banktech-providers/ncino/alternatives",
        "https://www.g2.com/products/ncino-cloud-banking-platform/competitors/alternatives",
        "https://www.capterra.com/p/140944/nCino/alternatives/",
        "https://www.yuverse.ai/resources/posts/ncino-alternatives-for-credit-memo-generation-6-platforms",
        "https://www.softwaresuggest.com/ncino/alternatives",
        "https://sourceforge.net/software/product/nCino/alternatives",
        "https://www.marketbeat.com/stocks/NASDAQ/NCNO/competitors-and-alternatives/",
        "https://www.ledgerbrief.co/alternatives/ncino",
        "https://thelosdirectory.com/alternatives/ncino",
        "https://www.capterra.in/alternatives/140944/ncino",
        "https://getlatka.com/companies/ncino.com/competitors",
        "https://digitalheroesco.com/journal/alternatives-ncino-alternative-digital-heroes/",
        "https://www.getapp.co.uk/alternatives/2049044/ncino",
        "https://aloan.ai/compare/ncino-alternatives",
        "https://www.g2.com/products/ncino-s-mortgage-suite/competitors/alternatives",
        "https://www.g2.com/compare/fis-vs-ncino-cloud-banking-platform",
        "https://www.g2.com/products/kyc-know-your-customer/competitors/alternatives",
        "https://www.techjockey.com/alternatives/ncino",
        "https://www.g2.com/products/onyx-iq/competitors/alternatives",
        "https://www.marketbeat.com/stocks/NYSE/QTWO/competitors-and-alternatives/",
        "https://www.marketbeat.com/stocks/NASDAQ/DCBO/competitors-and-alternatives/",
        "https://www.marketbeat.com/stocks/NASDAQ/SWMR/competitors-and-alternatives/",
        "https://www.marketbeat.com/stocks/NYSE/OOMA/competitors-and-alternatives/",
        "https://stockstory.org/us/stocks/nasdaq/ncno/news/earnings/vertical-software-stocks-q2-in-review-ncino-nasdaqncno-vs-peers",
        "https://www.al.com/sweepstakes/2026/09/5-casinos-like-ding-ding-ding-worth-a-spin-on-labor-day.html",
        "https://www.thelines.com/casino/sweepstakes/sites-like/golden-hearts/",
        "https://www.masslive.com/sweepstakes/2026/09/sites-like-mcluck-the-5-closest-matches-this-long-weekend.html",
        "https://www.legalsportsreport.com/sweepstakes-casinos/crown-coins-casino/sites-like/",
        "https://www.sportsgambler.com/sweepstakes-casinos/sites-like/funzpoints/",
        "https://deadspin.com/sweepstakes-casinos/sites-like/hello-millions/",
        "https://www.pennlive.com/sweepstakes-casinos/2026/09/casinos-like-ding-ding-ding-our-team-is-backing-this-nfl-kickoff-weekend.html",
        "https://www.al.com/sweepstakes/2026/09/sites-like-funzpoints-our-team-is-backing-this-week.html",
        "https://www.covers.com/betting/prediction-sites/apps-like-novig",
        "https://www.thelines.com/casino/sweepstakes/sites-like/sportzino/",
        "https://techfundingnews.com/top-bamboohr-alternatives-for-mid-market-companies/",
        "https://rg.org/casinos/sweepstakes-casinos/sites-like-mcluck",
        "https://www.techtimes.com/articles/327092/20260909/best-bybit-alternatives-2026.htm",
        "https://www.einpresswire.com/article/931211756/esi-peo-advances-agentic-ai-operating-system-for-payroll-hr-benefits-compliance-and-end-to-end-workforce-management"
      ]
    },
    {
      "record_id": "loan-origination-software|q6|Perplexity|2",
      "engine": "Perplexity",
      "question_id": "q6",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "4c4507101dc3c54a3afed6de711a941e92168904cad25c0e00bfe73e213356dc",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 27,
      "cited_urls": [
        "https://www.meniga.com/guides/ncino-alternatives/",
        "https://www.openbankingtracker.com/banktech-providers/ncino/alternatives",
        "https://www.g2.com/products/ncino-cloud-banking-platform/competitors/alternatives",
        "https://www.capterra.com/p/140944/nCino/alternatives/",
        "https://www.yuverse.ai/resources/posts/ncino-alternatives-for-credit-memo-generation-6-platforms",
        "https://www.softwaresuggest.com/ncino/alternatives",
        "https://sourceforge.net/software/product/nCino/alternatives",
        "https://www.marketbeat.com/stocks/NASDAQ/NCNO/competitors-and-alternatives/",
        "https://www.ledgerbrief.co/alternatives/ncino",
        "https://thelosdirectory.com/alternatives/ncino",
        "https://www.capterra.in/alternatives/140944/ncino",
        "https://getlatka.com/companies/ncino.com/competitors",
        "https://digitalheroesco.com/journal/alternatives-ncino-alternative-digital-heroes/",
        "https://www.getapp.co.uk/alternatives/2049044/ncino",
        "https://aloan.ai/compare/ncino-alternatives",
        "https://www.g2.com/products/ncino-s-mortgage-suite/competitors/alternatives",
        "https://www.g2.com/compare/fis-vs-ncino-cloud-banking-platform",
        "https://www.g2.com/products/kyc-know-your-customer/competitors/alternatives",
        "https://www.techjockey.com/alternatives/ncino",
        "https://www.g2.com/products/onyx-iq/competitors/alternatives",
        "https://www.marketbeat.com/stocks/NYSE/QTWO/competitors-and-alternatives/",
        "https://www.marketbeat.com/stocks/NASDAQ/DCBO/competitors-and-alternatives/",
        "https://www.marketbeat.com/stocks/NASDAQ/SWMR/competitors-and-alternatives/",
        "https://www.marketbeat.com/stocks/NYSE/OOMA/competitors-and-alternatives/",
        "https://stockstory.org/us/stocks/nasdaq/ncno/news/earnings/vertical-software-stocks-q2-in-review-ncino-nasdaqncno-vs-peers",
        "https://www.al.com/sweepstakes/2026/09/5-casinos-like-ding-ding-ding-worth-a-spin-on-labor-day.html",
        "https://www.thelines.com/casino/sweepstakes/sites-like/golden-hearts/",
        "https://www.masslive.com/sweepstakes/2026/09/sites-like-mcluck-the-5-closest-matches-this-long-weekend.html",
        "https://www.legalsportsreport.com/sweepstakes-casinos/crown-coins-casino/sites-like/",
        "https://www.sportsgambler.com/sweepstakes-casinos/sites-like/funzpoints/",
        "https://deadspin.com/sweepstakes-casinos/sites-like/hello-millions/",
        "https://www.pennlive.com/sweepstakes-casinos/2026/09/casinos-like-ding-ding-ding-our-team-is-backing-this-nfl-kickoff-weekend.html",
        "https://www.al.com/sweepstakes/2026/09/sites-like-funzpoints-our-team-is-backing-this-week.html",
        "https://www.covers.com/betting/prediction-sites/apps-like-novig",
        "https://www.thelines.com/casino/sweepstakes/sites-like/sportzino/",
        "https://techfundingnews.com/top-bamboohr-alternatives-for-mid-market-companies/",
        "https://rg.org/casinos/sweepstakes-casinos/sites-like-mcluck",
        "https://www.techtimes.com/articles/327092/20260909/best-bybit-alternatives-2026.htm",
        "https://www.einpresswire.com/article/931211756/esi-peo-advances-agentic-ai-operating-system-for-payroll-hr-benefits-compliance-and-end-to-end-workforce-management"
      ]
    },
    {
      "record_id": "loan-origination-software|q6|Perplexity|3",
      "engine": "Perplexity",
      "question_id": "q6",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "90df161189e6680fd9380cfd013df5ad331479558df352ec29b268939511742e",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 27,
      "cited_urls": [
        "https://www.meniga.com/guides/ncino-alternatives/",
        "https://www.openbankingtracker.com/banktech-providers/ncino/alternatives",
        "https://www.g2.com/products/ncino-cloud-banking-platform/competitors/alternatives",
        "https://www.capterra.com/p/140944/nCino/alternatives/",
        "https://www.yuverse.ai/resources/posts/ncino-alternatives-for-credit-memo-generation-6-platforms",
        "https://www.softwaresuggest.com/ncino/alternatives",
        "https://sourceforge.net/software/product/nCino/alternatives",
        "https://www.marketbeat.com/stocks/NASDAQ/NCNO/competitors-and-alternatives/",
        "https://www.ledgerbrief.co/alternatives/ncino",
        "https://thelosdirectory.com/alternatives/ncino",
        "https://www.capterra.in/alternatives/140944/ncino",
        "https://getlatka.com/companies/ncino.com/competitors",
        "https://digitalheroesco.com/journal/alternatives-ncino-alternative-digital-heroes/",
        "https://www.getapp.co.uk/alternatives/2049044/ncino",
        "https://aloan.ai/compare/ncino-alternatives",
        "https://www.g2.com/products/ncino-s-mortgage-suite/competitors/alternatives",
        "https://www.g2.com/compare/fis-vs-ncino-cloud-banking-platform",
        "https://www.g2.com/products/kyc-know-your-customer/competitors/alternatives",
        "https://www.techjockey.com/alternatives/ncino",
        "https://www.g2.com/products/onyx-iq/competitors/alternatives",
        "https://www.marketbeat.com/stocks/NYSE/QTWO/competitors-and-alternatives/",
        "https://www.marketbeat.com/stocks/NASDAQ/DCBO/competitors-and-alternatives/",
        "https://www.marketbeat.com/stocks/NASDAQ/SWMR/competitors-and-alternatives/",
        "https://www.marketbeat.com/stocks/NYSE/OOMA/competitors-and-alternatives/",
        "https://stockstory.org/us/stocks/nasdaq/ncno/news/earnings/vertical-software-stocks-q2-in-review-ncino-nasdaqncno-vs-peers",
        "https://www.al.com/sweepstakes/2026/09/5-casinos-like-ding-ding-ding-worth-a-spin-on-labor-day.html",
        "https://www.thelines.com/casino/sweepstakes/sites-like/golden-hearts/",
        "https://www.masslive.com/sweepstakes/2026/09/sites-like-mcluck-the-5-closest-matches-this-long-weekend.html",
        "https://www.legalsportsreport.com/sweepstakes-casinos/crown-coins-casino/sites-like/",
        "https://www.sportsgambler.com/sweepstakes-casinos/sites-like/funzpoints/",
        "https://deadspin.com/sweepstakes-casinos/sites-like/hello-millions/",
        "https://www.pennlive.com/sweepstakes-casinos/2026/09/casinos-like-ding-ding-ding-our-team-is-backing-this-nfl-kickoff-weekend.html",
        "https://www.al.com/sweepstakes/2026/09/sites-like-funzpoints-our-team-is-backing-this-week.html",
        "https://www.covers.com/betting/prediction-sites/apps-like-novig",
        "https://www.thelines.com/casino/sweepstakes/sites-like/sportzino/",
        "https://techfundingnews.com/top-bamboohr-alternatives-for-mid-market-companies/",
        "https://rg.org/casinos/sweepstakes-casinos/sites-like-mcluck",
        "https://www.techtimes.com/articles/327092/20260909/best-bybit-alternatives-2026.htm",
        "https://www.einpresswire.com/article/931211756/esi-peo-advances-agentic-ai-operating-system-for-payroll-hr-benefits-compliance-and-end-to-end-workforce-management"
      ]
    },
    {
      "record_id": "loan-origination-software|q7|ChatGPT|1",
      "engine": "ChatGPT",
      "question_id": "q7",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "d25f4df5c93650ebe3a42e3e2a530c8587b6052f982fab29145e1576709d65b5",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 33,
      "cited_urls": [
        "https://www.ncino.com/solutions/commercial-lending?utm_source=openai",
        "https://www.meridianlink.com/products/consumer-lending-software/?utm_source=openai",
        "https://www.meridianlink.com/solutions/banking-software/?utm_source=openai",
        "https://www.ncino.com/our-platform?utm_source=openai",
        "https://investor.ncino.com/static-files/4be2e0fd-55d8-4daf-a4a2-1fe5e6d40a9a?utm_source=openai",
        "https://www.meridianlink.com/products/?utm_source=openai"
      ]
    },
    {
      "record_id": "loan-origination-software|q7|ChatGPT|2",
      "engine": "ChatGPT",
      "question_id": "q7",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "a51eee1dc6197882190e2d6226df1905b71926f193161d2e8fd94b18452fdb0b",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 12,
      "cited_urls": [
        "https://www.ncino.com/our-platform?utm_source=openai",
        "https://www.meridianlink.com/products/consumer-lending-software/?utm_source=openai",
        "https://www.meridianlink.com/products/digital-account-opening/?utm_source=openai",
        "https://assets.ctfassets.net/ze344jjyx19q/5tv2rzwPSbr9l4IxI4qzJw/850349ba23a3b3c337118fa9f736bcdb/nCino_Commercial_Lending_Essentials_Product_Sheet__US-CAN_2-25.pdf?utm_source=openai",
        "https://www.meridianlink.com/products/?utm_source=openai"
      ]
    },
    {
      "record_id": "loan-origination-software|q7|ChatGPT|3",
      "engine": "ChatGPT",
      "question_id": "q7",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "422a339a3d0794a4c24016d13b8887c7b39acc1ee1adefdcc041a0857e79a468",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 40,
      "cited_urls": [
        "https://www.meridianlink.com/solutions/banking-software/?utm_source=openai",
        "https://www.meridianlink.com/products/consumer-lending-software/?utm_source=openai",
        "https://investor.ncino.com/node/13891/html?utm_source=openai",
        "https://investor.ncino.com/news-releases/news-release-details/ncino-and-salesforce-expand-strategic-partnership-further?utm_source=openai",
        "https://ir.meridianlink.com/news/news-details/2023/MeridianLink-Expands-Business-Lending-Capabilities/default.aspx?utm_source=openai",
        "https://www.ncino.com/solutions/consumer-lending?utm_source=openai",
        "https://www.ncino.com/blog/deploying-ncinos-accelerated-delivery-model-platinum-bank?utm_source=openai"
      ]
    },
    {
      "record_id": "loan-origination-software|q7|Claude|1",
      "engine": "Claude",
      "question_id": "q7",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "2dbfe18b3226d1fa23ac946f209bed95b167addf2a1c6ab48650d5510c2eaed0",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 216,
      "cited_urls": [
        "https://slashdot.org/software/comparison/MeridianLink-One-vs-nCino/",
        "https://aloan.ai/compare/ncino-alternatives",
        "https://softwarefinder.com/crm/ncino-cloud-banking-platform/reviews",
        "https://aloan.ai/compare/meridianlink-alternatives",
        "https://slashdot.org/software/comparison/MeridianLink-Opening-vs-nCino/",
        "https://portersfiveforce.com/blogs/competitors/meridianlink",
        "https://www.ncino.com/essentials",
        "https://www.ncino.com/blog/why-community-financial-institutions-are-choosing-ncino",
        "https://www.softwareadvice.com/banking-systems/meridianlink-opening-profile/",
        "https://www.capterra.com/p/140944/nCino/reviews/"
      ]
    },
    {
      "record_id": "loan-origination-software|q7|Claude|2",
      "engine": "Claude",
      "question_id": "q7",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "20af1347a0e93907a5b58fdb61e13bdeb4f75b1e3e9af11e8c5f3b1f289d58b1",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 56,
      "cited_urls": [
        "https://slashdot.org/software/comparison/MeridianLink-One-vs-nCino/",
        "https://aloan.ai/compare/ncino-alternatives",
        "https://www.gartner.com/reviews/product/ncino-cloud-banking-platform",
        "https://aloan.ai/compare/meridianlink-alternatives",
        "https://slashdot.org/software/comparison/MeridianLink-Opening-vs-nCino/",
        "https://www.capterra.com/p/190139/MeridianLink/reviews/",
        "https://www.capterra.com/p/123177/LendingQB/reviews/",
        "https://www.softwareadvice.com/mortgage/lendingqb-profile/reviews/",
        "https://softwarefinder.com/crm/ncino-cloud-banking-platform/reviews",
        "https://www.capterra.com/p/140944/nCino/reviews/",
        "https://www.capterra.com/p/140944/nCino/",
        "https://www.linktly.com/industry-specific-software/ncino-banking-review/",
        "https://www.capterra.com/banking-systems-software/compare/190139-140944/MeridianLink-vs-nCino"
      ]
    },
    {
      "record_id": "loan-origination-software|q7|Claude|3",
      "engine": "Claude",
      "question_id": "q7",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "d3dcdfbf2efa96458a34baeb5fd57b19070dbcd9e97b4a2f101ae7239714a90e",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 91,
      "cited_urls": [
        "https://portersfiveforce.com/blogs/competitors/meridianlink",
        "https://aloan.ai/compare/ncino-alternatives",
        "https://softwarefinder.com/crm/ncino-cloud-banking-platform/reviews",
        "https://aloan.ai/compare/meridianlink-alternatives",
        "https://slashdot.org/software/comparison/MeridianLink-One-vs-nCino/",
        "https://slashdot.org/software/comparison/MeridianLink-Opening-vs-nCino/",
        "https://www.ncino.com/blog/why-community-financial-institutions-are-choosing-ncino",
        "https://www.ncino.com/essentials",
        "https://www.linktly.com/industry-specific-software/ncino-banking-review/",
        "https://www.softwareadvice.com/banking-systems/meridianlink-opening-profile/",
        "https://www.capterra.com/p/140944/nCino/reviews/",
        "https://aloan.ai/guides/best-loan-origination-software"
      ]
    },
    {
      "record_id": "loan-origination-software|q7|Google AI Mode|1",
      "engine": "Google AI Mode",
      "question_id": "q7",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "041c328e77e1f694d1ab64eff7785c5bc173b89fb557be12f67ec5e4e2d70a73",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 16,
      "cited_urls": [
        "https://sourceforge.net/software/compare/MeridianLink-Consumer-vs-nCino/",
        "https://sourceforge.net/software/compare/MeridianLink-Opening-vs-nCino/",
        "https://aloan.ai/compare/meridianlink-alternatives",
        "https://aloan.ai/compare/ncino-alternatives",
        "https://www.crediflow.ai/compare/ncino-alternatives"
      ]
    },
    {
      "record_id": "loan-origination-software|q7|Google AI Mode|2",
      "engine": "Google AI Mode",
      "question_id": "q7",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "ff8a5e9c88ab288b0d12ac0b5c2f247f1acc95b27e504b74a9d801d85dd18b82",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 0,
      "cited_urls": [
        "https://aloan.ai/compare/ncino-alternatives"
      ]
    },
    {
      "record_id": "loan-origination-software|q7|Google AI Mode|3",
      "engine": "Google AI Mode",
      "question_id": "q7",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "d64a50e4fabc8512629c9467ce124dce75e12bbfb09407acf0f2be0e5040558a",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 0,
      "cited_urls": [
        "https://www.crediflow.ai/compare/ncino-alternatives",
        "https://aloan.ai/compare/ncino-alternatives",
        "https://aloan.ai/compare/meridianlink-alternatives",
        "https://www.openbankingtracker.com/banktech-providers/meridianlink/alternatives"
      ]
    },
    {
      "record_id": "loan-origination-software|q7|Google AI Overviews|1",
      "engine": "Google AI Overviews",
      "question_id": "q7",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "36aec5b49a1dea40818426158be373c78cba17105841d26f480d0402775fbc55",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 44,
      "cited_urls": [
        "https://www.crediflow.ai/compare/ncino-alternatives",
        "https://www.crediflow.ai/compare/meridianlink-alternatives",
        "https://sourceforge.net/software/compare/MeridianLink-Opening-vs-nCino/",
        "https://hesfintech.com/blog/best-loan-origination-systems/",
        "https://www.ncino.com/our-platform",
        "https://www.openbankingtracker.com/banktech-providers/meridianlink/alternatives"
      ]
    },
    {
      "record_id": "loan-origination-software|q7|Google AI Overviews|2",
      "engine": "Google AI Overviews",
      "question_id": "q7",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "3014ce09314fd4e92b51ccfe14af3f82821e0f8a6e7e3bc9b1121162816b0056",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 295,
      "cited_urls": [
        "https://www.crediflow.ai/compare/ncino-alternatives",
        "https://hesfintech.com/blog/best-loan-origination-systems/",
        "https://www.crediflow.ai/compare/meridianlink-alternatives",
        "https://sourceforge.net/software/compare/MeridianLink-Opening-vs-nCino/",
        "https://aloan.ai/compare/ncino-alternatives",
        "https://www.ncino.com/our-platform",
        "https://www.ncino.com/solutions/lending",
        "https://www.ncino.com/solutions/commercial-lending",
        "https://www.meridianlink.com/",
        "https://www.ncino.com/"
      ]
    },
    {
      "record_id": "loan-origination-software|q7|Google AI Overviews|3",
      "engine": "Google AI Overviews",
      "question_id": "q7",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "23af07e1d902bed5bf906e3acc32f61c12a870ccaee2fc3886e09426d82add69",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 0,
      "cited_urls": [
        "https://www.crediflow.ai/compare/meridianlink-alternatives",
        "https://timvero.com/blog/best-loan-origination-software",
        "https://sourceforge.net/software/compare/MeridianLink-Opening-vs-nCino/",
        "https://hesfintech.com/blog/best-loan-origination-systems/",
        "https://www.ncino.com/blog/why-community-financial-institutions-are-choosing-ncino"
      ]
    },
    {
      "record_id": "loan-origination-software|q7|Perplexity|1",
      "engine": "Perplexity",
      "question_id": "q7",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "c2a94bb42707dbfadbd328bfb51ae42392259b04dd0e5b26730c2e0a7042661a",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 57,
      "cited_urls": [
        "https://hesfintech.com/blog/top-best-loan-origination-software/",
        "https://thelosdirectory.com/guides/digital-lending-platforms-for-community-banks",
        "https://stackbriefly.com/blog/loan-origination-software-2026-ncino-meridianlink-ice-encompass-blend-finastra",
        "https://www.layer3labs.io/comparisons/best-ai-tools-for-banking",
        "https://www.capterra.co.uk/compare/140944/190139/ncino/vs/meridianlink",
        "https://aloan.ai/guides/best-loan-origination-software",
        "https://thelosdirectory.com/best/loan-origination-software",
        "https://aloan.ai/guides/best-ai-underwriting-community-banks",
        "https://aloan.ai/compare",
        "https://aloan.ai/compare/meridianlink-alternatives",
        "https://thelosdirectory.com/segments/community-banks",
        "https://www.yuverse.ai/resources/posts/ncino-alternatives-for-credit-memo-generation-6-platforms",
        "https://thelosdirectory.com/segments/credit-unions",
        "https://timvero.com/blog/best-loan-origination-software",
        "https://aloan.ai/guides/best-corporate-lending-software",
        "https://aloan.ai/compare/ncino-alternatives",
        "https://koalagains.com/stocks/NYSE/QTWO/competition",
        "https://aloan.ai/guides/best-commercial-lending-software"
      ]
    },
    {
      "record_id": "loan-origination-software|q7|Perplexity|2",
      "engine": "Perplexity",
      "question_id": "q7",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "1b8725770094415054b1919a9aa272f13d28ccfcf98ac76e01b6ea2c0ac0493f",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 28,
      "cited_urls": [
        "https://hesfintech.com/blog/top-best-loan-origination-software/",
        "https://stackbriefly.com/blog/loan-origination-software-2026-ncino-meridianlink-ice-encompass-blend-finastra",
        "https://www.layer3labs.io/comparisons/best-ai-tools-for-banking",
        "https://www.capterra.co.uk/compare/140944/190139/ncino/vs/meridianlink",
        "https://thelosdirectory.com/guides/digital-lending-platforms-for-community-banks",
        "https://aloan.ai/guides/best-loan-origination-software",
        "https://aloan.ai/compare/ncino-alternatives",
        "https://www.crediflow.ai/compare/ncino-alternatives",
        "https://thelosdirectory.com/best/loan-origination-software",
        "https://www.ncino.com/community-banks",
        "https://aloan.ai/guides/best-ai-underwriting-community-banks",
        "https://timvero.com/blog/best-loan-origination-software",
        "https://aloan.ai/compare",
        "https://www.yuverse.ai/resources/posts/ncino-alternatives-for-credit-memo-generation-6-platforms",
        "https://thelosdirectory.com/segments/community-banks",
        "https://sourceforge.net/software/compare/MeridianLink-One-vs-nCino/",
        "https://www.multimodal.dev/post/best-loan-origination-software",
        "https://aloan.ai/guides/best-corporate-lending-software",
        "https://aloan.ai/compare/meridianlink-alternatives",
        "https://www.openbankingtracker.com/banktech-providers/meridianlink/alternatives"
      ]
    },
    {
      "record_id": "loan-origination-software|q7|Perplexity|3",
      "engine": "Perplexity",
      "question_id": "q7",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "7f5da38c74aed28232c385eb1be3c5eda37a4afeacd88ead170df5d415a1b5bd",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 28,
      "cited_urls": [
        "https://hesfintech.com/blog/top-best-loan-origination-software/",
        "https://stackbriefly.com/blog/loan-origination-software-2026-ncino-meridianlink-ice-encompass-blend-finastra",
        "https://www.layer3labs.io/comparisons/best-ai-tools-for-banking",
        "https://www.capterra.co.uk/compare/140944/190139/ncino/vs/meridianlink",
        "https://thelosdirectory.com/guides/digital-lending-platforms-for-community-banks",
        "https://aloan.ai/guides/best-loan-origination-software",
        "https://aloan.ai/compare/ncino-alternatives",
        "https://www.crediflow.ai/compare/ncino-alternatives",
        "https://thelosdirectory.com/best/loan-origination-software",
        "https://www.ncino.com/community-banks",
        "https://aloan.ai/guides/best-ai-underwriting-community-banks",
        "https://timvero.com/blog/best-loan-origination-software",
        "https://aloan.ai/compare",
        "https://www.yuverse.ai/resources/posts/ncino-alternatives-for-credit-memo-generation-6-platforms",
        "https://thelosdirectory.com/segments/community-banks",
        "https://sourceforge.net/software/compare/MeridianLink-One-vs-nCino/",
        "https://www.multimodal.dev/post/best-loan-origination-software",
        "https://aloan.ai/guides/best-corporate-lending-software",
        "https://aloan.ai/compare/meridianlink-alternatives",
        "https://www.openbankingtracker.com/banktech-providers/meridianlink/alternatives"
      ]
    },
    {
      "record_id": "loan-origination-software|q8|ChatGPT|1",
      "engine": "ChatGPT",
      "question_id": "q8",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "3fb86e35ebf7e39d7a3af5666f3a179f19e00eda5d47cc27149aa7d92490f3e3",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 9,
      "cited_urls": [
        "https://mortgagetech.ice.com/products/encompass?utm_source=openai",
        "https://mortgagetech.ice.com/products/encompass-consumer-connect?utm_source=openai",
        "https://blend.com/products/mortgage-suite/verifications/?utm_source=openai",
        "https://help.blend.com/support/solutions/articles/156000373170-encompass-web-integration-faqs"
      ]
    },
    {
      "record_id": "loan-origination-software|q8|ChatGPT|2",
      "engine": "ChatGPT",
      "question_id": "q8",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "1cca27c53e7b94c55ad481539b081ab7339bba377cd9f9dc31dc958054a44ec5",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 9,
      "cited_urls": [
        "https://mortgagetech.ice.com/products/encompass?utm_source=openai",
        "https://mortgagetech.ice.com/products/encompass-consumer-connect?utm_source=openai",
        "https://blend.com/products/mortgage-suite/",
        "https://help.blend.com/support/solutions/articles/156000373170-encompass-web-integration-faqs"
      ]
    },
    {
      "record_id": "loan-origination-software|q8|ChatGPT|3",
      "engine": "ChatGPT",
      "question_id": "q8",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "6d34dfd22e4b16cb2a0f8c9aa9bbe2b56f05ee2b496086a082d44823db98b351",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 9,
      "cited_urls": [
        "https://mortgagetech.ice.com/products/encompass?utm_source=openai",
        "https://blend.com/products/mortgage-suite/?utm_source=openai",
        "https://mortgagetech.ice.com/products/encompass-consumer-connect?utm_source=openai",
        "https://help.blend.com/support/solutions/articles/156000373170-encompass-web-integration-faqs?utm_source=openai"
      ]
    },
    {
      "record_id": "loan-origination-software|q8|Claude|1",
      "engine": "Claude",
      "question_id": "q8",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "c17c6f241a4bdd01bacc9c3b51cde9dfe0fc1fcf0a04c8be1c559ed904d5a71b",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 2,
      "cited_urls": [
        "https://ustechautomations.com/resources/blog/automate-blend-vs-encompass-for-mortgage-brokers-2026",
        "https://ustechautomations.com/resources/blog/blend-vs-encompass-for-mortgage-brokers-2026",
        "https://www.finderslist.com/mortgage-lending-software/tools/encompass",
        "https://www.nationalmortgagenews.com/news/how-los-preferences-differ-by-mortgage-lender-type",
        "https://ainora.lt/blog/encompass-ai-review-alternatives-2026",
        "https://www.trustradius.com/products/encompass-ellie-mae/reviews/all",
        "https://awesometechinc.com/encompass-vs-blend-and-other-los-which-one-is-best/",
        "https://us.fitgap.com/products/022456/blend-mortgage-suite",
        "https://www.mortgageadvisortools.com/companies/blend/",
        "https://www.softwareadvice.com/retail/blend-profile/"
      ]
    },
    {
      "record_id": "loan-origination-software|q8|Claude|2",
      "engine": "Claude",
      "question_id": "q8",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "e677359e6e41a40989c44cb2d000ac022092c4a473b7b88daeb08bedf04afea6",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 39,
      "cited_urls": [
        "https://ustechautomations.com/resources/blog/automate-blend-vs-encompass-for-mortgage-brokers-2026",
        "https://ustechautomations.com/resources/blog/blend-vs-encompass-for-mortgage-brokers-2026",
        "https://ainora.lt/blog/encompass-ai-review-alternatives-2026",
        "https://awesometechinc.com/encompass-vs-blend-and-other-los-which-one-is-best/",
        "https://awesometechinc.com/encompass-vs-lendingpad-which-is-right-for-you/",
        "https://www.nationalmortgagenews.com/news/how-los-preferences-differ-by-mortgage-lender-type",
        "https://www.softwareadvice.com/product/133471-Encompass360/reviews/",
        "https://us.fitgap.com/products/022456/blend-mortgage-suite",
        "https://www.mortgageadvisortools.com/companies/blend/",
        "https://zipdo.co/best/mortgage-loan-software/"
      ]
    },
    {
      "record_id": "loan-origination-software|q8|Claude|3",
      "engine": "Claude",
      "question_id": "q8",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "7d197cd9f33d6ed5aa3ed7d2e1f83b912615dd776c39239a5fe2512e3c33c4bd",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 2,
      "cited_urls": [
        "https://ustechautomations.com/resources/blog/automate-blend-vs-encompass-for-mortgage-brokers-2026",
        "https://ustechautomations.com/resources/blog/blend-vs-encompass-for-mortgage-brokers-2026",
        "https://www.nationalmortgagenews.com/news/how-los-preferences-differ-by-mortgage-lender-type",
        "https://ainora.lt/blog/encompass-ai-review-alternatives-2026",
        "https://worldmetrics.org/best/lending-platform-software/",
        "https://awesometechinc.com/encompass-vs-lendingpad-which-is-right-for-you/",
        "https://awesometechinc.com/encompass-vs-blend-and-other-los-which-one-is-best/",
        "https://www.softwareadvice.com/product/133471-Encompass360/reviews/",
        "https://us.fitgap.com/products/022456/blend-mortgage-suite",
        "https://www.mortgageadvisortools.com/companies/blend/",
        "https://www.capterra.com/p/189005/Blend/",
        "https://www.getapp.ca/software/131003/blend"
      ]
    },
    {
      "record_id": "loan-origination-software|q8|Google AI Mode|1",
      "engine": "Google AI Mode",
      "question_id": "q8",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "dc56e59799938eb37172e8703b225f5440f7fda9a0f9f4c5de4af5ad1c5260b9",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 16,
      "cited_urls": [
        "https://ustechautomations.com/resources/blog/blend-vs-encompass-for-mortgage-brokers-2026",
        "https://ustechautomations.com/resources/blog/automate-blend-vs-encompass-for-mortgage-brokers-2026",
        "https://awesometechinc.com/encompass-vs-blend-and-other-los-which-one-is-best/"
      ]
    },
    {
      "record_id": "loan-origination-software|q8|Google AI Mode|2",
      "engine": "Google AI Mode",
      "question_id": "q8",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "95f345591344652a81e8612c4258877a5d084a9a985b3472682e9b361ce30042",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 61,
      "cited_urls": [
        "https://ustechautomations.com/resources/blog/blend-vs-encompass-for-mortgage-brokers-2026",
        "https://ustechautomations.com/resources/blog/automate-blend-vs-encompass-for-mortgage-brokers-2026",
        "https://awesometechinc.com/encompass-vs-blend-and-other-los-which-one-is-best/",
        "https://blend.com/blog/blend-momentum/ice-encompass-integration/"
      ]
    },
    {
      "record_id": "loan-origination-software|q8|Google AI Mode|3",
      "engine": "Google AI Mode",
      "question_id": "q8",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "b527dc0f59addcab9ae26943a1dce73c2dbccb4d672e2c058bfe8ca60c22e930",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 60,
      "cited_urls": [
        "https://ustechautomations.com/resources/blog/blend-vs-encompass-for-mortgage-brokers-2026",
        "https://ustechautomations.com/resources/blog/automate-blend-vs-encompass-for-mortgage-brokers-2026",
        "https://awesometechinc.com/encompass-vs-blend-and-other-los-which-one-is-best/",
        "https://blend.com/blog/blend-momentum/ice-encompass-integration/"
      ]
    },
    {
      "record_id": "loan-origination-software|q8|Google AI Overviews|1",
      "engine": "Google AI Overviews",
      "question_id": "q8",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "cb42dc4e401e26f4f2982f56a386d19ed026994e254ef143c979c6a9b7c1070c",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 32,
      "cited_urls": [
        "https://ustechautomations.com/resources/blog/blend-vs-encompass-for-mortgage-brokers-2026",
        "https://awesometechinc.com/encompass-vs-blend-and-other-los-which-one-is-best/",
        "https://ustechautomations.com/resources/blog/automate-blend-vs-encompass-for-mortgage-brokers-2026",
        "https://www.youtube.com/watch?v=qUATGbMavk4&t=326",
        "https://www.reddit.com/r/loanoriginators/comments/1feq2ed/cost_for_encompass_vs_blend_and_other_los/",
        "https://mortgagetech.ice.com/products/encompass",
        "https://blend.com/blog/blend-momentum/ice-encompass-integration/",
        "https://blend.com/customers/compass-mortgage/"
      ]
    },
    {
      "record_id": "loan-origination-software|q8|Google AI Overviews|2",
      "engine": "Google AI Overviews",
      "question_id": "q8",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "0af227dcabd0bcc9cd5c8f72bb2ded87575b35b869a7332a06f55956ac1bd390",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 44,
      "cited_urls": [
        "https://ustechautomations.com/resources/blog/blend-vs-encompass-for-mortgage-brokers-2026",
        "https://ustechautomations.com/resources/blog/automate-blend-vs-encompass-for-mortgage-brokers-2026",
        "https://mortgagetech.ice.com/products/encompass",
        "https://www.reddit.com/r/loanoriginators/comments/1feq2ed/cost_for_encompass_vs_blend_and_other_los/",
        "https://blend.com/customers/compass-mortgage/",
        "https://blend.com/blog/blend-momentum/ice-encompass-integration/"
      ]
    },
    {
      "record_id": "loan-origination-software|q8|Google AI Overviews|3",
      "engine": "Google AI Overviews",
      "question_id": "q8",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "66a1d47372361b3838f9d4fc42b876372e30b0eaceb6d9b7636aa73b2c6c4bc5",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 104,
      "cited_urls": [
        "https://ustechautomations.com/resources/blog/blend-vs-encompass-for-mortgage-brokers-2026",
        "https://ustechautomations.com/resources/blog/automate-blend-vs-encompass-for-mortgage-brokers-2026",
        "https://www.reddit.com/r/loanoriginators/comments/1feq2ed/cost_for_encompass_vs_blend_and_other_los/",
        "https://mortgagetech.ice.com/products/encompass",
        "https://blend.com/customers/compass-mortgage/"
      ]
    },
    {
      "record_id": "loan-origination-software|q8|Perplexity|1",
      "engine": "Perplexity",
      "question_id": "q8",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "caec8b80e128f4278aa09fdcd8587bdad8d0e09f37caab4120643772e5a0a186",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 57,
      "cited_urls": [
        "https://ustechautomations.com/resources/blog/blend-vs-encompass-for-mortgage-brokers-2026",
        "https://awesometechinc.com/encompass-vs-blend-and-other-los-which-one-is-best/",
        "https://www.aitoolgiant.com/reviews/best-ai-mortgage-lending-tools-2026.html",
        "https://ustechautomations.com/resources/blog/automate-blend-vs-encompass-for-mortgage-brokers-2026",
        "https://www.loanpro.io/blog/best-loan-origination-software/",
        "https://www.cotocus.com/blog/top-10-mortgage-loan-origination-systems-los-features-pros-cons-comparison/",
        "https://ainora.lt/blog/ai-voice-agent-mortgage-loan-origination-2026",
        "https://wifitalents.com/best/mortgage-loan-software/",
        "https://ainora.lt/blog/encompass-ai-review-alternatives-2026",
        "https://www.multimodal.dev/post/best-loan-origination-software",
        "https://ainora.lt/blog/blend-ai-review-alternatives-2026",
        "https://llms.parsewise.ai/comparisons/lending/parsewise-vs-ocrolus-vs-vesta-vs-ice-mortgage-underwriting/",
        "https://www.mortgagetechreview.com/tools/pos/blend/",
        "https://www.capterra.com.sg/compare/37038/189005/encompass360/vs/blend",
        "https://www.finantrix.com/buyer-guides/loan-origination-systems-consumer-lenders",
        "https://thelosdirectory.com/alternatives/blend",
        "https://sourceforge.net/software/compare/Blend-vs-Encompass-Loan-Origination/"
      ]
    },
    {
      "record_id": "loan-origination-software|q8|Perplexity|2",
      "engine": "Perplexity",
      "question_id": "q8",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "a8e343f6adbef283e34c69ae1cc4064b36b000d88264563c4079cb651d6d4f13",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 42,
      "cited_urls": [
        "https://ustechautomations.com/resources/blog/blend-vs-encompass-for-mortgage-brokers-2026",
        "https://awesometechinc.com/encompass-vs-blend-and-other-los-which-one-is-best/",
        "https://www.aitoolgiant.com/reviews/best-ai-mortgage-lending-tools-2026.html",
        "https://ustechautomations.com/resources/blog/automate-blend-vs-encompass-for-mortgage-brokers-2026",
        "https://www.loanpro.io/blog/best-loan-origination-software/",
        "https://www.cotocus.com/blog/top-10-mortgage-loan-origination-systems-los-features-pros-cons-comparison/",
        "https://ainora.lt/blog/ai-voice-agent-mortgage-loan-origination-2026",
        "https://wifitalents.com/best/mortgage-loan-software/",
        "https://ainora.lt/blog/encompass-ai-review-alternatives-2026",
        "https://www.multimodal.dev/post/best-loan-origination-software",
        "https://ainora.lt/blog/blend-ai-review-alternatives-2026",
        "https://llms.parsewise.ai/comparisons/lending/parsewise-vs-ocrolus-vs-vesta-vs-ice-mortgage-underwriting/",
        "https://www.mortgagetechreview.com/tools/pos/blend/",
        "https://www.capterra.com.sg/compare/37038/189005/encompass360/vs/blend",
        "https://www.finantrix.com/buyer-guides/loan-origination-systems-consumer-lenders",
        "https://thelosdirectory.com/alternatives/blend",
        "https://sourceforge.net/software/compare/Blend-vs-Encompass-Loan-Origination/"
      ]
    },
    {
      "record_id": "loan-origination-software|q8|Perplexity|3",
      "engine": "Perplexity",
      "question_id": "q8",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "c15ca412ff3a39ccd0f22c96ee3f2de41db561bc1b8c402d83864e6839e934f3",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 55,
      "cited_urls": [
        "https://ustechautomations.com/resources/blog/blend-vs-encompass-for-mortgage-brokers-2026",
        "https://awesometechinc.com/encompass-vs-blend-and-other-los-which-one-is-best/",
        "https://www.aitoolgiant.com/reviews/best-ai-mortgage-lending-tools-2026.html",
        "https://ustechautomations.com/resources/blog/automate-blend-vs-encompass-for-mortgage-brokers-2026",
        "https://www.loanpro.io/blog/best-loan-origination-software/",
        "https://www.cotocus.com/blog/top-10-mortgage-loan-origination-systems-los-features-pros-cons-comparison/",
        "https://ainora.lt/blog/ai-voice-agent-mortgage-loan-origination-2026",
        "https://wifitalents.com/best/mortgage-loan-software/",
        "https://ainora.lt/blog/encompass-ai-review-alternatives-2026",
        "https://www.multimodal.dev/post/best-loan-origination-software",
        "https://ainora.lt/blog/blend-ai-review-alternatives-2026",
        "https://llms.parsewise.ai/comparisons/lending/parsewise-vs-ocrolus-vs-vesta-vs-ice-mortgage-underwriting/",
        "https://www.mortgagetechreview.com/tools/pos/blend/",
        "https://www.capterra.com.sg/compare/37038/189005/encompass360/vs/blend",
        "https://www.finantrix.com/buyer-guides/loan-origination-systems-consumer-lenders",
        "https://thelosdirectory.com/alternatives/blend",
        "https://sourceforge.net/software/compare/Blend-vs-Encompass-Loan-Origination/"
      ]
    },
    {
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 5780,
      "cited_urls": [
        "https://www.consumerfinance.gov/rules-policy/regulations/1002/9/",
        "https://www.fdic.gov/news/financial-institution-letters/2024/third-party-risk-management-guide-community-banks?utm_source=openai",
        "https://www.ftc.gov/business-guidance/resources/ftc-safeguards-rule-what-your-business-needs-know",
        "https://www.fdic.gov/sites/default/files/2024-03/pr21075a.pdf?utm_source=openai",
        "https://www.fdic.gov/news/press-releases/2023/pr23047.html?utm_source=openai"
      ]
    },
    {
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 5316,
      "cited_urls": [
        "https://www.consumerfinance.gov/rules-policy/regulations/1002/9/",
        "https://www.fdic.gov/news/financial-institution-letters/2024/third-party-risk-management-guide-community-banks?utm_source=openai",
        "https://www.ftc.gov/business-guidance/resources/ftc-safeguards-rule-what-your-business-needs-know",
        "https://www.fdic.gov/news/press-releases/2023/pr23047.html?utm_source=openai",
        "https://www.fdic.gov/news/financial-institution-letters/2023/fil23029.html?utm_source=openai"
      ]
    },
    {
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 5268,
      "cited_urls": [
        "https://www.consumerfinance.gov/rules-policy/regulations/1002/9/",
        "https://www.fdic.gov/news/financial-institution-letters/2024/third-party-risk-management-guide-community-banks?utm_source=openai",
        "https://www.ftc.gov/business-guidance/resources/ftc-safeguards-rule-what-your-business-needs-know",
        "https://www.fdic.gov/sites/default/files/2024-03/pr21075a.pdf?utm_source=openai",
        "https://www.fdic.gov/news/press-releases/2023/pr23047.html?utm_source=openai"
      ]
    },
    {
      "record_id": "loan-origination-software|q9|Claude|1",
      "engine": "Claude",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "43364dd989388c9ae8886057cb8c3143aad23fa4dc2170d71da97a4055cb95ed",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 5120,
      "cited_urls": [
        "https://defisolutions.com/answers/how-to-select-the-best-loan-origination-software/",
        "https://www.bakerhill.com/resources/5-steps-to-choosing-the-right-loan-origination-system/",
        "https://www.backbase.com/blog/loan-origination-software",
        "https://www.cgi.com/us/en-us/article/banking-and-capital-markets/loan-origination-software-guide",
        "https://www.softwaregroup.com/insights/blog/article/7-lessons-for-choosing-the-best-loan-origination-system",
        "https://www.loanpro.io/blog/a-coos-guide-to-evaluating-loan-origination-software/",
        "https://www.turnkey-lender.com/blog/10-point-guide-for-choosing-your-new-loan-origination-software/"
      ]
    },
    {
      "record_id": "loan-origination-software|q9|Claude|2",
      "engine": "Claude",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "75ac13f1e2dd9bedff282c6dc440cb96d3f24a0eb6273df3a6f0c7215a097902",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 5573,
      "cited_urls": [
        "https://www.backbase.com/blog/loan-origination-software",
        "https://defisolutions.com/answers/how-to-select-the-best-loan-origination-software/",
        "https://www.cgi.com/us/en-us/article/banking-and-capital-markets/loan-origination-software-guide",
        "https://www.bakerhill.com/resources/5-steps-to-choosing-the-right-loan-origination-system/",
        "https://www.loanpro.io/blog/a-coos-guide-to-evaluating-loan-origination-software/",
        "https://www.softwaregroup.com/insights/blog/article/7-lessons-for-choosing-the-best-loan-origination-system",
        "https://www.turnkey-lender.com/blog/10-point-guide-for-choosing-your-new-loan-origination-software/"
      ]
    },
    {
      "record_id": "loan-origination-software|q9|Claude|3",
      "engine": "Claude",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "631b8dd6bc694e4c8b6e9f3b6abf0a411478c344d6012124db75647505a18531",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 5045,
      "cited_urls": [
        "https://defisolutions.com/answers/how-to-select-the-best-loan-origination-software/",
        "https://www.backbase.com/blog/loan-origination-software",
        "https://www.cgi.com/us/en-us/article/banking-and-capital-markets/loan-origination-software-guide",
        "https://www.bakerhill.com/resources/5-steps-to-choosing-the-right-loan-origination-system/",
        "https://www.loanpro.io/blog/a-coos-guide-to-evaluating-loan-origination-software/",
        "https://www.softwaregroup.com/insights/blog/article/7-lessons-for-choosing-the-best-loan-origination-system",
        "https://www.turnkey-lender.com/blog/10-point-guide-for-choosing-your-new-loan-origination-software/"
      ]
    },
    {
      "record_id": "loan-origination-software|q9|Google AI Mode|1",
      "engine": "Google AI Mode",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "06fd46948c9aa69184d9580b912a510c3988f6c0f90aa4a59c675457a07f160f",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 1711,
      "cited_urls": [
        "https://appt-scheduler.usbank.com/?service=14&location=1177",
        "https://www.turnkey-lender.com/blog/10-point-guide-for-choosing-your-new-loan-origination-software/",
        "https://bakerhill.com/5-steps-to-choosing-the-right-loan-origination-system"
      ]
    },
    {
      "record_id": "loan-origination-software|q9|Google AI Mode|2",
      "engine": "Google AI Mode",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "1eaa936e1aa412fbe41ad50641440b8dc18a50b0f95738be1555c353ef1db208",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 1597,
      "cited_urls": [
        "https://www.cgi.com/us/en-us/article/banking-and-capital-markets/loan-origination-software-guide",
        "https://www.ncino.com/blog/how-choose-right-mortgage-origination-system-your-credit-union",
        "https://www.loanpro.io/blog/best-loan-origination-software/"
      ]
    },
    {
      "record_id": "loan-origination-software|q9|Google AI Mode|3",
      "engine": "Google AI Mode",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "094287078947d55a553675552caf2be2a8e4d21b02428691d717eac82696a1fe",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 1529,
      "cited_urls": [
        "https://www.cgi.com/us/en-us/article/banking-and-capital-markets/loan-origination-software-guide",
        "https://www.turnkey-lender.com/blog/10-point-guide-for-choosing-your-new-loan-origination-software/",
        "https://bakerhill.com/5-steps-to-choosing-the-right-loan-origination-system",
        "https://www.ncino.com/blog/how-choose-right-mortgage-origination-system-your-credit-union"
      ]
    },
    {
      "record_id": "loan-origination-software|q9|Google AI Overviews|1",
      "engine": "Google AI Overviews",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "31150b3b7f9cde896bcd561671ce6c8b56b922d4da0d49a3089aed3c236d6d59",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 1413,
      "cited_urls": [
        "https://www.cgi.com/us/en-us/article/banking-and-capital-markets/loan-origination-software-guide",
        "https://awesometechinc.com/top-7-mortgage-los-systems/",
        "https://www.abrigo.com/blog/4-criteria-when-assessing-a-modern-day-loan-origination-system/",
        "https://www.youtube.com/watch?v=wXstJ55tt_A&t=247",
        "https://preapp1003.com/the-complete-guide-to-loan-origination-systems-a-must-have-for-lenders/",
        "https://www.jackhenry.com/hubfs/resources/articles/jh-article-lending-loan-origination-top-10-los-features.pdf",
        "https://defisolutions.com/defi-insight/key-loan-origination-system-integrations-lenders-need/",
        "https://www.loanpro.io/blog/loan-origination-system-vs-loan-management-system/",
        "https://www.mortgageautomator.com/resources/what-is-a-loan-origination-system-los-and-do-you-need-one"
      ]
    },
    {
      "record_id": "loan-origination-software|q9|Google AI Overviews|2",
      "engine": "Google AI Overviews",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "77d71ce5c7a2347782f0cf8bd1c6ae3fc1def16324f04f689cc58113234bb925",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 1087,
      "cited_urls": [
        "https://www.cgi.com/us/en-us/article/banking-and-capital-markets/loan-origination-software-guide",
        "https://www.backbase.com/blog/loan-origination-software",
        "https://www.vergentlms.com/origination-and-underwriting-essential-for-loan-management/",
        "https://www.loanpro.io/blog/a-coos-guide-to-evaluating-loan-origination-software/",
        "https://bakerhill.com/5-steps-to-choosing-the-right-loan-origination-system",
        "https://awesometechinc.com/best-loan-origination-software/"
      ]
    },
    {
      "record_id": "loan-origination-software|q9|Google AI Overviews|3",
      "engine": "Google AI Overviews",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "f4bb934b569d4617e47f2bd53366e9217d4c2d2cf09511a1858879eed805dc24",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 1275,
      "cited_urls": [
        "https://bakerhill.com/5-steps-to-choosing-the-right-loan-origination-system",
        "https://www.cgi.com/us/en-us/article/banking-and-capital-markets/loan-origination-software-guide",
        "https://www.backbase.com/blog/loan-origination-software",
        "https://www.ncino.com/blog/how-choose-right-mortgage-origination-system-your-credit-union",
        "https://timvero.com/blog/best-loan-origination-software",
        "https://www.alogent.com/banking-definitions/loan-origination-system",
        "https://www.softwaregroup.com/insights/blog/article/7-lessons-for-choosing-the-best-loan-origination-system",
        "https://www.meridianlink.com/blog/how-to-choose-a-loan-origination-system/",
        "https://awesometechinc.com/best-loan-origination-software/"
      ]
    },
    {
      "record_id": "loan-origination-software|q9|Perplexity|1",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "fdf44632818a19db7a44af1ea11aa4392c9922842fbff2876a49c60d6cc569da",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 2616,
      "cited_urls": [
        "https://www.novactech.com/blog/loan-origination-systems-complete-guide",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://www.investglass.com/loan-origination-system-a-complete-guide-for-modern-lenders/",
        "https://www.lendingwise.com/wp-content/uploads/2024/09/Top-10-Core-Features-for-Loan-Origination-Systems.pdf",
        "https://newgensoft.com/resources/article/loan-origination-system-los-guide/",
        "https://www.vergentlms.com/servicing-vs-origination-loan-software/",
        "https://www.zeitro.com/blog/key-features-of-loan-origination-system-how-it-helps-lenders-and-loan-officers-close-more-loans-efficiently",
        "https://roopya.money/what-is-loan-origination-system/",
        "https://bakerhill.com/loan-origination-system-basics",
        "https://www.mortgageautomator.com/resources/what-is-a-loan-origination-system-los-and-do-you-need-one",
        "https://www.backbase.com/blog/loan-origination-software",
        "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/",
        "https://www.abrigo.com/blog/basic-functions-loan-origination-system/",
        "https://www.ranosys.com/blog/insights/how-can-financial-institutions-optimize-their-loan-origination-systems/",
        "https://www.turnkey-lender.com/loan-origination-system/",
        "https://finchannel.com/9-mortgage-origination-systems-and-their-core-capabilities/134668/personal-finance/2026/09/",
        "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
        "https://www.biz2x.com/loan-origination-software/5-must-have-features-for-a-loan-origination-system-in-2025/",
        "https://www.loanpro.io/platform/origination-suite/",
        "https://www.aninews.in/news/business/pennant-technologies-deploys-loan-origination-and-loan-management-system-across-aditya-birla-capitals-gold-lending-business-in-45-days20260921124551",
        "https://www.desmoinesregister.com/press-release/story/127953/vesta-integrates-with-ncino/",
        "https://www.fintechbiznews.com/fintech-technology/au-sfb-goes-ai-native-for-los-with-dailoqa-aws",
        "https://apnews.com/press-release/send2press/press-release-c29e0cad8cabd67f834ac8692e042cc3",
        "https://www.housingwire.com/articles/vesta-mezzo-integration-one-to-many-verification-architecture/",
        "https://www.techtimes.com/articles/327042/20260909/how-pavan-agarwal-built-angelai-give-same-mortgage-answer-every-time.htm",
        "https://scanx.trade/stock-market-news/companies/ce-info-systems-schedules-investor-meet-anand-rathi-g-200-summit/51261856",
        "https://nationalmortgageprofessional.com/news/loanspark-gives-mortgage-brokers-back-office-investor-commercial-deals",
        "https://www.housingwire.com/articles/mortgage-document-intelligence-1003-servicing/",
        "https://nationalmortgageprofessional.com/news/friday-harbor-moves-freddie-mac-income-checks-ahead-underwriting",
        "https://www.housingwire.com/articles/technology-provider-rethinks-loan-origination-systems/",
        "https://www.indmoney.com/stocks/veefin-solutions-ltd-share-price",
        "https://www.nationalmortgagenews.com/news/how-to-ease-the-encompass-sdk-to-api-transition",
        "https://www.housingwire.com/articles/ai-mortgage-evidence-adjudication/",
        "https://www.thedailystar.net/business/column/news/the-banks-transformed-are-winning-4221516",
        "https://www.tribuneindia.com/topic/financial-burden?type=tag"
      ]
    },
    {
      "record_id": "loan-origination-software|q9|Perplexity|2",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "004db9cd17266e9daef52c2cfa975d7f86dbaee942ff47fc576eb65fafd7f193",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 2483,
      "cited_urls": [
        "https://www.novactech.com/blog/loan-origination-systems-complete-guide",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://www.investglass.com/loan-origination-system-a-complete-guide-for-modern-lenders/",
        "https://www.lendingwise.com/wp-content/uploads/2024/09/Top-10-Core-Features-for-Loan-Origination-Systems.pdf",
        "https://newgensoft.com/resources/article/loan-origination-system-los-guide/",
        "https://www.vergentlms.com/servicing-vs-origination-loan-software/",
        "https://www.zeitro.com/blog/key-features-of-loan-origination-system-how-it-helps-lenders-and-loan-officers-close-more-loans-efficiently",
        "https://roopya.money/what-is-loan-origination-system/",
        "https://bakerhill.com/loan-origination-system-basics",
        "https://www.mortgageautomator.com/resources/what-is-a-loan-origination-system-los-and-do-you-need-one",
        "https://www.backbase.com/blog/loan-origination-software",
        "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/",
        "https://www.abrigo.com/blog/basic-functions-loan-origination-system/",
        "https://www.ranosys.com/blog/insights/how-can-financial-institutions-optimize-their-loan-origination-systems/",
        "https://www.turnkey-lender.com/loan-origination-system/",
        "https://finchannel.com/9-mortgage-origination-systems-and-their-core-capabilities/134668/personal-finance/2026/09/",
        "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
        "https://www.biz2x.com/loan-origination-software/5-must-have-features-for-a-loan-origination-system-in-2025/",
        "https://www.loanpro.io/platform/origination-suite/",
        "https://www.aninews.in/news/business/pennant-technologies-deploys-loan-origination-and-loan-management-system-across-aditya-birla-capitals-gold-lending-business-in-45-days20260921124551",
        "https://www.desmoinesregister.com/press-release/story/127953/vesta-integrates-with-ncino/",
        "https://www.fintechbiznews.com/fintech-technology/au-sfb-goes-ai-native-for-los-with-dailoqa-aws",
        "https://apnews.com/press-release/send2press/press-release-c29e0cad8cabd67f834ac8692e042cc3",
        "https://www.housingwire.com/articles/vesta-mezzo-integration-one-to-many-verification-architecture/",
        "https://www.techtimes.com/articles/327042/20260909/how-pavan-agarwal-built-angelai-give-same-mortgage-answer-every-time.htm",
        "https://scanx.trade/stock-market-news/companies/ce-info-systems-schedules-investor-meet-anand-rathi-g-200-summit/51261856",
        "https://nationalmortgageprofessional.com/news/loanspark-gives-mortgage-brokers-back-office-investor-commercial-deals",
        "https://www.housingwire.com/articles/mortgage-document-intelligence-1003-servicing/",
        "https://nationalmortgageprofessional.com/news/friday-harbor-moves-freddie-mac-income-checks-ahead-underwriting",
        "https://www.housingwire.com/articles/technology-provider-rethinks-loan-origination-systems/",
        "https://www.indmoney.com/stocks/veefin-solutions-ltd-share-price",
        "https://www.nationalmortgagenews.com/news/how-to-ease-the-encompass-sdk-to-api-transition",
        "https://www.housingwire.com/articles/ai-mortgage-evidence-adjudication/",
        "https://www.thedailystar.net/business/column/news/the-banks-transformed-are-winning-4221516",
        "https://www.tribuneindia.com/topic/financial-burden?type=tag"
      ]
    },
    {
      "record_id": "loan-origination-software|q9|Perplexity|3",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "answer_sha256": "952cb1b161c9420d8424ddbc0d1fa68434f7ec12e1d0634004d5409884572c24",
      "included": true,
      "exclusion_stage": null,
      "exclusion_reason": null,
      "exclusion_reason_display": null,
      "first_vendor_offset": 2817,
      "cited_urls": [
        "https://www.novactech.com/blog/loan-origination-systems-complete-guide",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://www.investglass.com/loan-origination-system-a-complete-guide-for-modern-lenders/",
        "https://www.lendingwise.com/wp-content/uploads/2024/09/Top-10-Core-Features-for-Loan-Origination-Systems.pdf",
        "https://newgensoft.com/resources/article/loan-origination-system-los-guide/",
        "https://www.vergentlms.com/servicing-vs-origination-loan-software/",
        "https://www.zeitro.com/blog/key-features-of-loan-origination-system-how-it-helps-lenders-and-loan-officers-close-more-loans-efficiently",
        "https://roopya.money/what-is-loan-origination-system/",
        "https://bakerhill.com/loan-origination-system-basics",
        "https://www.mortgageautomator.com/resources/what-is-a-loan-origination-system-los-and-do-you-need-one",
        "https://www.backbase.com/blog/loan-origination-software",
        "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/",
        "https://www.abrigo.com/blog/basic-functions-loan-origination-system/",
        "https://www.ranosys.com/blog/insights/how-can-financial-institutions-optimize-their-loan-origination-systems/",
        "https://www.turnkey-lender.com/loan-origination-system/",
        "https://finchannel.com/9-mortgage-origination-systems-and-their-core-capabilities/134668/personal-finance/2026/09/",
        "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
        "https://www.biz2x.com/loan-origination-software/5-must-have-features-for-a-loan-origination-system-in-2025/",
        "https://www.loanpro.io/platform/origination-suite/",
        "https://www.aninews.in/news/business/pennant-technologies-deploys-loan-origination-and-loan-management-system-across-aditya-birla-capitals-gold-lending-business-in-45-days20260921124551",
        "https://www.desmoinesregister.com/press-release/story/127953/vesta-integrates-with-ncino/",
        "https://www.fintechbiznews.com/fintech-technology/au-sfb-goes-ai-native-for-los-with-dailoqa-aws",
        "https://apnews.com/press-release/send2press/press-release-c29e0cad8cabd67f834ac8692e042cc3",
        "https://www.housingwire.com/articles/vesta-mezzo-integration-one-to-many-verification-architecture/",
        "https://www.techtimes.com/articles/327042/20260909/how-pavan-agarwal-built-angelai-give-same-mortgage-answer-every-time.htm",
        "https://scanx.trade/stock-market-news/companies/ce-info-systems-schedules-investor-meet-anand-rathi-g-200-summit/51261856",
        "https://nationalmortgageprofessional.com/news/loanspark-gives-mortgage-brokers-back-office-investor-commercial-deals",
        "https://www.housingwire.com/articles/mortgage-document-intelligence-1003-servicing/",
        "https://nationalmortgageprofessional.com/news/friday-harbor-moves-freddie-mac-income-checks-ahead-underwriting",
        "https://www.housingwire.com/articles/technology-provider-rethinks-loan-origination-systems/",
        "https://www.indmoney.com/stocks/veefin-solutions-ltd-share-price",
        "https://www.nationalmortgagenews.com/news/how-to-ease-the-encompass-sdk-to-api-transition",
        "https://www.housingwire.com/articles/ai-mortgage-evidence-adjudication/",
        "https://www.thedailystar.net/business/column/news/the-banks-transformed-are-winning-4221516",
        "https://www.tribuneindia.com/topic/financial-burden?type=tag"
      ]
    }
  ],
  "criteria": [
    {
      "id": "fit",
      "canonical": "Fit with the lender’s stated products and operating needs",
      "display_label": "Fit with the lender’s stated products and operating needs",
      "frequency": {
        "count": 32,
        "base": 150,
        "rate": 21.3,
        "lower": 15.5,
        "upper": 28.6
      },
      "record_ids": [
        "loan-origination-software|q1|Google AI Mode|1",
        "loan-origination-software|q1|Google AI Mode|2",
        "loan-origination-software|q1|Google AI Overviews|1",
        "loan-origination-software|q1|Google AI Overviews|2",
        "loan-origination-software|q1|Google AI Overviews|3",
        "loan-origination-software|q1|Perplexity|1",
        "loan-origination-software|q1|Perplexity|2",
        "loan-origination-software|q1|Perplexity|3",
        "loan-origination-software|q2|Google AI Mode|1",
        "loan-origination-software|q2|Google AI Mode|2",
        "loan-origination-software|q2|Google AI Overviews|2",
        "loan-origination-software|q2|Perplexity|1",
        "loan-origination-software|q2|Perplexity|2",
        "loan-origination-software|q2|Perplexity|3",
        "loan-origination-software|q3|Claude|1",
        "loan-origination-software|q3|Claude|2",
        "loan-origination-software|q3|Google AI Mode|1",
        "loan-origination-software|q3|Google AI Mode|3",
        "loan-origination-software|q7|Claude|1",
        "loan-origination-software|q7|Claude|3",
        "loan-origination-software|q9|ChatGPT|1",
        "loan-origination-software|q9|ChatGPT|2",
        "loan-origination-software|q9|ChatGPT|3",
        "loan-origination-software|q9|Claude|1",
        "loan-origination-software|q9|Claude|2",
        "loan-origination-software|q9|Claude|3",
        "loan-origination-software|q9|Google AI Overviews|1",
        "loan-origination-software|q9|Google AI Overviews|2",
        "loan-origination-software|q9|Google AI Overviews|3",
        "loan-origination-software|q9|Perplexity|1",
        "loan-origination-software|q9|Perplexity|2",
        "loan-origination-software|q9|Perplexity|3"
      ],
      "evidence_ids": [
        "127d3d2b30d6a2ac32fe",
        "d7d992e3f7d68e68ec7d",
        "9a6e7d5aa81eb4e25779",
        "f5cf48df120726e706bd",
        "499cbd1dc2ecdce0de40",
        "1f694173a0d411ba8a76",
        "70493cb1d82f6d967fc2",
        "feaae06656bac2ffb14e",
        "cfdf2b78bcbf11a73f2c",
        "8f73b4a0f0cc8c0a39eb",
        "92dfa3881de151d4f49d",
        "ca5a24ab96a104aaac44",
        "7a81d0c8fe6ba49ae50b",
        "8108d261d2f3cd1fc97f",
        "82cc8b913e1dae016943",
        "e669a4b6be8dc81c8f5b",
        "b4c2d81764fc11348629",
        "0f7265ef71c8f770dfc3",
        "f1dab6a8e528bbec09c3",
        "f1744e7aeb3c25eaf055",
        "82a56484476812b1da6a",
        "929795959dded1a4df69",
        "7c8907ab1b55c7585006",
        "a4dcffa8c546bec93fbf",
        "6bca700c41dc39c94a18",
        "facd94e96e69fcaab54e",
        "59fdfc592dba71fee011",
        "5427ab51c0504a36ec55",
        "ef89817ef02e192228f9",
        "c4c6d7518b0cb2fb6222",
        "e417d1e8c002458cf566",
        "7d0a7906966fcaa805ac",
        "33f4624914c29d942ff3",
        "53f53cef7b387083c522",
        "ab78d0962ffc8c69a7a9",
        "8cd6ac6f6455665ea536",
        "1994590d2dee6fd8e277",
        "f506f35d4a0815eba537",
        "c6b477c4a3b264083a98",
        "2f98da963b39f1d82ccb",
        "f631a0fd0988a932d92b",
        "64f93eaa6c4f5da847bf",
        "cfa0204400efd53e6509",
        "23c9b2128d5ff93eddc4",
        "45d57618d333b596539b",
        "b0be8977fb7bb39f8fa3",
        "7ede6a3b872d997ce064",
        "b897cface55943a1a008",
        "c33c15d5a9625f7d0256"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 2,
          "runs": [
            1,
            2
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 2,
          "runs": [
            1,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 1,
          "runs": [
            2
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 2,
          "runs": [
            1,
            2
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 2,
          "runs": [
            1,
            2
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 2,
          "runs": [
            1,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "https://blog.digitalheroesco.com/best/best-loan-origination-software/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q2|Perplexity|3"
          ]
        },
        {
          "source": "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|2",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|2",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://thelosdirectory.com/",
          "answer_count": 4,
          "record_ids": [
            "loan-origination-software|q1|Perplexity|1",
            "loan-origination-software|q2|Perplexity|1",
            "loan-origination-software|q2|Perplexity|2",
            "loan-origination-software|q2|Perplexity|3"
          ]
        },
        {
          "source": "https://thelosdirectory.com/best/loan-origination-software",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q1|Perplexity|1"
          ]
        },
        {
          "source": "https://www.backbase.com/blog/loan-origination-software",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|2",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.capterra.com/loan-origination-software/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q2|Perplexity|1"
          ]
        },
        {
          "source": "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1"
          ]
        },
        {
          "source": "https://www.loanpro.io/blog/best-loan-origination-software/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q2|Perplexity|1"
          ]
        },
        {
          "source": "https://www.loanpro.io/platform/origination-suite/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|2",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.multimodal.dev/post/best-loan-origination-software",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q2|Perplexity|1",
            "loan-origination-software|q2|Perplexity|2",
            "loan-origination-software|q2|Perplexity|3"
          ]
        },
        {
          "source": "https://www.softwareadvice.com/loan-origination/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q2|Perplexity|2"
          ]
        },
        {
          "source": "https://www.uptiq.ai/feeds/best-commercial-loan-origination-software-banks",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q1|Perplexity|1"
          ]
        },
        {
          "source": "no source shown",
          "answer_count": 25,
          "record_ids": [
            "loan-origination-software|q1|Google AI Mode|1",
            "loan-origination-software|q1|Google AI Mode|2",
            "loan-origination-software|q1|Google AI Overviews|1",
            "loan-origination-software|q1|Google AI Overviews|2",
            "loan-origination-software|q1|Google AI Overviews|3",
            "loan-origination-software|q1|Perplexity|2",
            "loan-origination-software|q1|Perplexity|3",
            "loan-origination-software|q2|Google AI Mode|1",
            "loan-origination-software|q2|Google AI Mode|2",
            "loan-origination-software|q2|Google AI Overviews|2",
            "loan-origination-software|q3|Claude|1",
            "loan-origination-software|q3|Claude|2",
            "loan-origination-software|q3|Google AI Mode|1",
            "loan-origination-software|q3|Google AI Mode|3",
            "loan-origination-software|q7|Claude|1",
            "loan-origination-software|q7|Claude|3",
            "loan-origination-software|q9|ChatGPT|1",
            "loan-origination-software|q9|ChatGPT|2",
            "loan-origination-software|q9|ChatGPT|3",
            "loan-origination-software|q9|Claude|1",
            "loan-origination-software|q9|Claude|2",
            "loan-origination-software|q9|Claude|3",
            "loan-origination-software|q9|Google AI Overviews|1",
            "loan-origination-software|q9|Google AI Overviews|2",
            "loan-origination-software|q9|Google AI Overviews|3"
          ]
        }
      ],
      "adjacent_vendors": [
        {
          "vendor": "ARIVE",
          "frequency": {
            "count": 4,
            "base": 150,
            "rate": 2.7,
            "lower": 1.0,
            "upper": 6.7
          },
          "record_ids": [
            "loan-origination-software|q3|Claude|1",
            "loan-origination-software|q3|Claude|2",
            "loan-origination-software|q3|Google AI Mode|1",
            "loan-origination-software|q3|Google AI Mode|3"
          ],
          "evidence_ids": [
            "cb3fef4c016447708842",
            "9c5f0c342b21c41b52c3",
            "af42d65ef1930dd40397",
            "4e7b28eab0305bd70a22"
          ],
          "source_counts": [
            {
              "source": "no source shown",
              "answer_count": 4,
              "record_ids": [
                "loan-origination-software|q3|Claude|1",
                "loan-origination-software|q3|Claude|2",
                "loan-origination-software|q3|Google AI Mode|1",
                "loan-origination-software|q3|Google AI Mode|3"
              ],
              "frequency": {
                "count": 4,
                "base": 150,
                "rate": 2.7,
                "lower": 1.0,
                "upper": 6.7
              },
              "category_median_count": 6,
              "category_median_base": 150,
              "category_median_rate": 4.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": true,
          "category_median_count": 12,
          "category_median_base": 150,
          "category_median_rate": 8.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        },
        {
          "vendor": "Abrigo",
          "frequency": {
            "count": 12,
            "base": 150,
            "rate": 8.0,
            "lower": 4.6,
            "upper": 13.5
          },
          "record_ids": [
            "loan-origination-software|q1|Google AI Mode|1",
            "loan-origination-software|q1|Google AI Mode|2",
            "loan-origination-software|q1|Google AI Overviews|1",
            "loan-origination-software|q1|Google AI Overviews|2",
            "loan-origination-software|q1|Google AI Overviews|3",
            "loan-origination-software|q1|Perplexity|1",
            "loan-origination-software|q1|Perplexity|2",
            "loan-origination-software|q1|Perplexity|3",
            "loan-origination-software|q2|Google AI Mode|1",
            "loan-origination-software|q2|Perplexity|1",
            "loan-origination-software|q2|Perplexity|2",
            "loan-origination-software|q2|Perplexity|3"
          ],
          "evidence_ids": [
            "b4973015eb541c3b9ce3",
            "f3ae891e110c58c3c5ab",
            "a5243300e3293ad623d7",
            "5ebeab86851305e50f54",
            "d84ff9cd3b53ac363e50",
            "ed032ca91819c6ad694d",
            "d2b8fdca5081db35d8ee",
            "f3c39cfc7c7d24ab3ab6",
            "b30c6cdf67b16c212e34",
            "7924df4b202cece428e0",
            "11f21c8d773149a15cdf",
            "3e204465c575d05332e7"
          ],
          "source_counts": [
            {
              "source": "https://blog.digitalheroesco.com/best/best-loan-origination-software/",
              "answer_count": 2,
              "record_ids": [
                "loan-origination-software|q2|Perplexity|1",
                "loan-origination-software|q2|Perplexity|3"
              ],
              "frequency": {
                "count": 2,
                "base": 150,
                "rate": 1.3,
                "lower": 0.4,
                "upper": 4.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            },
            {
              "source": "https://gitnux.org/best/credit-union-lending-software/",
              "answer_count": 2,
              "record_ids": [
                "loan-origination-software|q2|Perplexity|1",
                "loan-origination-software|q2|Perplexity|3"
              ],
              "frequency": {
                "count": 2,
                "base": 150,
                "rate": 1.3,
                "lower": 0.4,
                "upper": 4.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            },
            {
              "source": "https://gitnux.org/best/credit-union-loan-origination-software/",
              "answer_count": 2,
              "record_ids": [
                "loan-origination-software|q2|Perplexity|2",
                "loan-origination-software|q2|Perplexity|3"
              ],
              "frequency": {
                "count": 2,
                "base": 150,
                "rate": 1.3,
                "lower": 0.4,
                "upper": 4.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            },
            {
              "source": "https://jinba.io/blog/best-automated-loan-systems",
              "answer_count": 3,
              "record_ids": [
                "loan-origination-software|q1|Perplexity|1",
                "loan-origination-software|q1|Perplexity|2",
                "loan-origination-software|q1|Perplexity|3"
              ],
              "frequency": {
                "count": 3,
                "base": 150,
                "rate": 2.0,
                "lower": 0.7,
                "upper": 5.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            },
            {
              "source": "https://thelosdirectory.com/best/commercial-lending",
              "answer_count": 3,
              "record_ids": [
                "loan-origination-software|q1|Perplexity|1",
                "loan-origination-software|q1|Perplexity|2",
                "loan-origination-software|q1|Perplexity|3"
              ],
              "frequency": {
                "count": 3,
                "base": 150,
                "rate": 2.0,
                "lower": 0.7,
                "upper": 5.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            },
            {
              "source": "https://thelosdirectory.com/best/loan-origination-software",
              "answer_count": 2,
              "record_ids": [
                "loan-origination-software|q1|Perplexity|2",
                "loan-origination-software|q1|Perplexity|3"
              ],
              "frequency": {
                "count": 2,
                "base": 150,
                "rate": 1.3,
                "lower": 0.4,
                "upper": 4.7
              },
              "category_median_count": 1,
              "category_median_base": 150,
              "category_median_rate": 0.7,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            },
            {
              "source": "https://www.abrigo.com/software/lending-and-credit-risk/",
              "answer_count": 3,
              "record_ids": [
                "loan-origination-software|q2|Perplexity|1",
                "loan-origination-software|q2|Perplexity|2",
                "loan-origination-software|q2|Perplexity|3"
              ],
              "frequency": {
                "count": 3,
                "base": 150,
                "rate": 2.0,
                "lower": 0.7,
                "upper": 5.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            },
            {
              "source": "https://www.loanpro.io/blog/best-loan-origination-software/",
              "answer_count": 2,
              "record_ids": [
                "loan-origination-software|q2|Perplexity|1",
                "loan-origination-software|q2|Perplexity|2"
              ],
              "frequency": {
                "count": 2,
                "base": 150,
                "rate": 1.3,
                "lower": 0.4,
                "upper": 4.7
              },
              "category_median_count": 1,
              "category_median_base": 150,
              "category_median_rate": 0.7,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            },
            {
              "source": "no source shown",
              "answer_count": 6,
              "record_ids": [
                "loan-origination-software|q1|Google AI Mode|1",
                "loan-origination-software|q1|Google AI Mode|2",
                "loan-origination-software|q1|Google AI Overviews|1",
                "loan-origination-software|q1|Google AI Overviews|2",
                "loan-origination-software|q1|Google AI Overviews|3",
                "loan-origination-software|q2|Google AI Mode|1"
              ],
              "frequency": {
                "count": 6,
                "base": 150,
                "rate": 4.0,
                "lower": 1.8,
                "upper": 8.5
              },
              "category_median_count": 6,
              "category_median_base": 150,
              "category_median_rate": 4.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": true,
          "category_median_count": 12,
          "category_median_base": 150,
          "category_median_rate": 8.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        },
        {
          "vendor": "AgentFlow",
          "frequency": {
            "count": 1,
            "base": 150,
            "rate": 0.7,
            "lower": 0.1,
            "upper": 3.7
          },
          "record_ids": [
            "loan-origination-software|q2|Perplexity|2"
          ],
          "evidence_ids": [
            "8884ce4949f6edd0b4b0"
          ],
          "source_counts": [
            {
              "source": "https://www.multimodal.dev/post/ai-powered-lending-platforms-for-credit-unions",
              "answer_count": 1,
              "record_ids": [
                "loan-origination-software|q2|Perplexity|2"
              ],
              "frequency": {
                "count": 1,
                "base": 150,
                "rate": 0.7,
                "lower": 0.1,
                "upper": 3.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            },
            {
              "source": "https://www.multimodal.dev/post/best-loan-origination-software",
              "answer_count": 1,
              "record_ids": [
                "loan-origination-software|q2|Perplexity|2"
              ],
              "frequency": {
                "count": 1,
                "base": 150,
                "rate": 0.7,
                "lower": 0.1,
                "upper": 3.7
              },
              "category_median_count": 1,
              "category_median_base": 150,
              "category_median_rate": 0.7,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": false,
          "category_median_count": 12,
          "category_median_base": 150,
          "category_median_rate": 8.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        },
        {
          "vendor": "Aloan",
          "frequency": {
            "count": 3,
            "base": 150,
            "rate": 2.0,
            "lower": 0.7,
            "upper": 5.7
          },
          "record_ids": [
            "loan-origination-software|q1|Perplexity|1",
            "loan-origination-software|q1|Perplexity|2",
            "loan-origination-software|q1|Perplexity|3"
          ],
          "evidence_ids": [
            "424f6775b11e27e11eb1",
            "b61dd55f87d1844bdba4",
            "4f36c0c5ee068ca8e5b6"
          ],
          "source_counts": [
            {
              "source": "https://aloan.ai/guides/best-commercial-lending-software",
              "answer_count": 1,
              "record_ids": [
                "loan-origination-software|q1|Perplexity|2"
              ],
              "frequency": {
                "count": 1,
                "base": 150,
                "rate": 0.7,
                "lower": 0.1,
                "upper": 3.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            },
            {
              "source": "https://aloan.ai/guides/best-loan-origination-software",
              "answer_count": 3,
              "record_ids": [
                "loan-origination-software|q1|Perplexity|1",
                "loan-origination-software|q1|Perplexity|2",
                "loan-origination-software|q1|Perplexity|3"
              ],
              "frequency": {
                "count": 3,
                "base": 150,
                "rate": 2.0,
                "lower": 0.7,
                "upper": 5.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            },
            {
              "source": "https://thelosdirectory.com/segments/community-banks",
              "answer_count": 3,
              "record_ids": [
                "loan-origination-software|q1|Perplexity|1",
                "loan-origination-software|q1|Perplexity|2",
                "loan-origination-software|q1|Perplexity|3"
              ],
              "frequency": {
                "count": 3,
                "base": 150,
                "rate": 2.0,
                "lower": 0.7,
                "upper": 5.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            },
            {
              "source": "https://www.uptiq.ai/feeds/best-commercial-lending-software-community-banks",
              "answer_count": 3,
              "record_ids": [
                "loan-origination-software|q1|Perplexity|1",
                "loan-origination-software|q1|Perplexity|2",
                "loan-origination-software|q1|Perplexity|3"
              ],
              "frequency": {
                "count": 3,
                "base": 150,
                "rate": 2.0,
                "lower": 0.7,
                "upper": 5.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": true,
          "category_median_count": 12,
          "category_median_base": 150,
          "category_median_rate": 8.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        },
        {
          "vendor": "Baker Hill",
          "frequency": {
            "count": 6,
            "base": 150,
            "rate": 4.0,
            "lower": 1.8,
            "upper": 8.5
          },
          "record_ids": [
            "loan-origination-software|q1|Google AI Mode|1",
            "loan-origination-software|q1|Perplexity|1",
            "loan-origination-software|q1|Perplexity|2",
            "loan-origination-software|q1|Perplexity|3",
            "loan-origination-software|q2|Perplexity|1",
            "loan-origination-software|q2|Perplexity|3"
          ],
          "evidence_ids": [
            "523240cb53eb3a2e26c8",
            "c19341af3508faff83dc",
            "916ab9112617c638f0cb",
            "06d357e200d386b33bb8",
            "811e9e2a1f6e495deab7",
            "d6303d990ff90ddb6dc2"
          ],
          "source_counts": [
            {
              "source": "https://blog.digitalheroesco.com/best/best-loan-origination-software/",
              "answer_count": 5,
              "record_ids": [
                "loan-origination-software|q1|Perplexity|1",
                "loan-origination-software|q1|Perplexity|2",
                "loan-origination-software|q1|Perplexity|3",
                "loan-origination-software|q2|Perplexity|1",
                "loan-origination-software|q2|Perplexity|3"
              ],
              "frequency": {
                "count": 5,
                "base": 150,
                "rate": 3.3,
                "lower": 1.4,
                "upper": 7.6
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            },
            {
              "source": "https://gitnux.org/best/credit-union-lending-software/",
              "answer_count": 2,
              "record_ids": [
                "loan-origination-software|q2|Perplexity|1",
                "loan-origination-software|q2|Perplexity|3"
              ],
              "frequency": {
                "count": 2,
                "base": 150,
                "rate": 1.3,
                "lower": 0.4,
                "upper": 4.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            },
            {
              "source": "https://gitnux.org/best/credit-union-loan-origination-software/",
              "answer_count": 1,
              "record_ids": [
                "loan-origination-software|q2|Perplexity|3"
              ],
              "frequency": {
                "count": 1,
                "base": 150,
                "rate": 0.7,
                "lower": 0.1,
                "upper": 3.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            },
            {
              "source": "https://thelosdirectory.com/",
              "answer_count": 2,
              "record_ids": [
                "loan-origination-software|q1|Perplexity|2",
                "loan-origination-software|q1|Perplexity|3"
              ],
              "frequency": {
                "count": 2,
                "base": 150,
                "rate": 1.3,
                "lower": 0.4,
                "upper": 4.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            },
            {
              "source": "https://thelosdirectory.com/segments/community-banks",
              "answer_count": 2,
              "record_ids": [
                "loan-origination-software|q1|Perplexity|1",
                "loan-origination-software|q1|Perplexity|3"
              ],
              "frequency": {
                "count": 2,
                "base": 150,
                "rate": 1.3,
                "lower": 0.4,
                "upper": 4.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            },
            {
              "source": "https://www.abrigo.com/software/lending-and-credit-risk/",
              "answer_count": 2,
              "record_ids": [
                "loan-origination-software|q2|Perplexity|1",
                "loan-origination-software|q2|Perplexity|3"
              ],
              "frequency": {
                "count": 2,
                "base": 150,
                "rate": 1.3,
                "lower": 0.4,
                "upper": 4.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            },
            {
              "source": "https://www.loanpro.io/blog/best-loan-origination-software/",
              "answer_count": 1,
              "record_ids": [
                "loan-origination-software|q2|Perplexity|1"
              ],
              "frequency": {
                "count": 1,
                "base": 150,
                "rate": 0.7,
                "lower": 0.1,
                "upper": 3.7
              },
              "category_median_count": 1,
              "category_median_base": 150,
              "category_median_rate": 0.7,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            },
            {
              "source": "no source shown",
              "answer_count": 1,
              "record_ids": [
                "loan-origination-software|q1|Google AI Mode|1"
              ],
              "frequency": {
                "count": 1,
                "base": 150,
                "rate": 0.7,
                "lower": 0.1,
                "upper": 3.7
              },
              "category_median_count": 6,
              "category_median_base": 150,
              "category_median_rate": 4.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": true,
          "category_median_count": 12,
          "category_median_base": 150,
          "category_median_rate": 8.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        },
        {
          "vendor": "Blend",
          "frequency": {
            "count": 3,
            "base": 150,
            "rate": 2.0,
            "lower": 0.7,
            "upper": 5.7
          },
          "record_ids": [
            "loan-origination-software|q2|Perplexity|1",
            "loan-origination-software|q2|Perplexity|2",
            "loan-origination-software|q2|Perplexity|3"
          ],
          "evidence_ids": [
            "80f7e7021f1255cb0b75",
            "6e1f8b248b95f45b0c11",
            "de58b91573c8d7d285dd"
          ],
          "source_counts": [
            {
              "source": "https://creditunionlendingsoftware.com/best/consumer-loan-origination-software-for-credit-unions",
              "answer_count": 3,
              "record_ids": [
                "loan-origination-software|q2|Perplexity|1",
                "loan-origination-software|q2|Perplexity|2",
                "loan-origination-software|q2|Perplexity|3"
              ],
              "frequency": {
                "count": 3,
                "base": 150,
                "rate": 2.0,
                "lower": 0.7,
                "upper": 5.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            },
            {
              "source": "https://worldmetrics.org/best/credit-union-loan-origination-software/",
              "answer_count": 1,
              "record_ids": [
                "loan-origination-software|q2|Perplexity|3"
              ],
              "frequency": {
                "count": 1,
                "base": 150,
                "rate": 0.7,
                "lower": 0.1,
                "upper": 3.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            },
            {
              "source": "https://www.multimodal.dev/post/best-loan-origination-software",
              "answer_count": 1,
              "record_ids": [
                "loan-origination-software|q2|Perplexity|1"
              ],
              "frequency": {
                "count": 1,
                "base": 150,
                "rate": 0.7,
                "lower": 0.1,
                "upper": 3.7
              },
              "category_median_count": 1,
              "category_median_base": 150,
              "category_median_rate": 0.7,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": true,
          "category_median_count": 12,
          "category_median_base": 150,
          "category_median_rate": 8.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        },
        {
          "vendor": "Calyx",
          "frequency": {
            "count": 3,
            "base": 150,
            "rate": 2.0,
            "lower": 0.7,
            "upper": 5.7
          },
          "record_ids": [
            "loan-origination-software|q3|Claude|1",
            "loan-origination-software|q3|Claude|2",
            "loan-origination-software|q3|Google AI Mode|3"
          ],
          "evidence_ids": [
            "f619e039e8dff3356b8c",
            "dd3f8c562ada57a5a8ce",
            "a4bb1ccf2f55636af75e"
          ],
          "source_counts": [
            {
              "source": "no source shown",
              "answer_count": 3,
              "record_ids": [
                "loan-origination-software|q3|Claude|1",
                "loan-origination-software|q3|Claude|2",
                "loan-origination-software|q3|Google AI Mode|3"
              ],
              "frequency": {
                "count": 3,
                "base": 150,
                "rate": 2.0,
                "lower": 0.7,
                "upper": 5.7
              },
              "category_median_count": 6,
              "category_median_base": 150,
              "category_median_rate": 4.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": true,
          "category_median_count": 12,
          "category_median_base": 150,
          "category_median_rate": 8.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        },
        {
          "vendor": "Finastra",
          "frequency": {
            "count": 3,
            "base": 150,
            "rate": 2.0,
            "lower": 0.7,
            "upper": 5.7
          },
          "record_ids": [
            "loan-origination-software|q1|Google AI Mode|1",
            "loan-origination-software|q1|Google AI Mode|2",
            "loan-origination-software|q1|Google AI Overviews|1"
          ],
          "evidence_ids": [
            "65108638288eb8ce2a1a",
            "103f6b77c88a6f79b4a4",
            "5c8efb76f4630e36df45"
          ],
          "source_counts": [
            {
              "source": "no source shown",
              "answer_count": 3,
              "record_ids": [
                "loan-origination-software|q1|Google AI Mode|1",
                "loan-origination-software|q1|Google AI Mode|2",
                "loan-origination-software|q1|Google AI Overviews|1"
              ],
              "frequency": {
                "count": 3,
                "base": 150,
                "rate": 2.0,
                "lower": 0.7,
                "upper": 5.7
              },
              "category_median_count": 6,
              "category_median_base": 150,
              "category_median_rate": 4.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": true,
          "category_median_count": 12,
          "category_median_base": 150,
          "category_median_rate": 8.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        },
        {
          "vendor": "Fuse",
          "frequency": {
            "count": 1,
            "base": 150,
            "rate": 0.7,
            "lower": 0.1,
            "upper": 3.7
          },
          "record_ids": [
            "loan-origination-software|q2|Google AI Mode|1"
          ],
          "evidence_ids": [
            "bc9042691e8d33979042"
          ],
          "source_counts": [
            {
              "source": "no source shown",
              "answer_count": 1,
              "record_ids": [
                "loan-origination-software|q2|Google AI Mode|1"
              ],
              "frequency": {
                "count": 1,
                "base": 150,
                "rate": 0.7,
                "lower": 0.1,
                "upper": 3.7
              },
              "category_median_count": 6,
              "category_median_base": 150,
              "category_median_rate": 4.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": false,
          "category_median_count": 12,
          "category_median_base": 150,
          "category_median_rate": 8.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        },
        {
          "vendor": "ICE Mortgage Technology",
          "frequency": {
            "count": 2,
            "base": 150,
            "rate": 1.3,
            "lower": 0.4,
            "upper": 4.7
          },
          "record_ids": [
            "loan-origination-software|q2|Google AI Mode|2",
            "loan-origination-software|q2|Perplexity|1"
          ],
          "evidence_ids": [
            "2908c41a6a80b35f71d9",
            "87fcca0f4db3553ca5c0"
          ],
          "source_counts": [
            {
              "source": "https://creditunionlendingsoftware.com/best/consumer-loan-origination-software-for-credit-unions",
              "answer_count": 1,
              "record_ids": [
                "loan-origination-software|q2|Perplexity|1"
              ],
              "frequency": {
                "count": 1,
                "base": 150,
                "rate": 0.7,
                "lower": 0.1,
                "upper": 3.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            },
            {
              "source": "https://www.multimodal.dev/post/best-loan-origination-software",
              "answer_count": 1,
              "record_ids": [
                "loan-origination-software|q2|Perplexity|1"
              ],
              "frequency": {
                "count": 1,
                "base": 150,
                "rate": 0.7,
                "lower": 0.1,
                "upper": 3.7
              },
              "category_median_count": 1,
              "category_median_base": 150,
              "category_median_rate": 0.7,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            },
            {
              "source": "no source shown",
              "answer_count": 1,
              "record_ids": [
                "loan-origination-software|q2|Google AI Mode|2"
              ],
              "frequency": {
                "count": 1,
                "base": 150,
                "rate": 0.7,
                "lower": 0.1,
                "upper": 3.7
              },
              "category_median_count": 6,
              "category_median_base": 150,
              "category_median_rate": 4.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": true,
          "category_median_count": 12,
          "category_median_base": 150,
          "category_median_rate": 8.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        },
        {
          "vendor": "Jack Henry",
          "frequency": {
            "count": 4,
            "base": 150,
            "rate": 2.7,
            "lower": 1.0,
            "upper": 6.7
          },
          "record_ids": [
            "loan-origination-software|q1|Perplexity|2",
            "loan-origination-software|q2|Perplexity|1",
            "loan-origination-software|q2|Perplexity|2",
            "loan-origination-software|q2|Perplexity|3"
          ],
          "evidence_ids": [
            "b42691e22d793701de38",
            "7fa576e31e49f1bb1a5d",
            "db5438525bfa8e10c621",
            "e444713c3f191ab3cac1"
          ],
          "source_counts": [
            {
              "source": "https://blog.digitalheroesco.com/best/best-loan-origination-software/",
              "answer_count": 3,
              "record_ids": [
                "loan-origination-software|q2|Perplexity|1",
                "loan-origination-software|q2|Perplexity|2",
                "loan-origination-software|q2|Perplexity|3"
              ],
              "frequency": {
                "count": 3,
                "base": 150,
                "rate": 2.0,
                "lower": 0.7,
                "upper": 5.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            },
            {
              "source": "https://www.multimodal.dev/post/best-loan-origination-software",
              "answer_count": 4,
              "record_ids": [
                "loan-origination-software|q1|Perplexity|2",
                "loan-origination-software|q2|Perplexity|1",
                "loan-origination-software|q2|Perplexity|2",
                "loan-origination-software|q2|Perplexity|3"
              ],
              "frequency": {
                "count": 4,
                "base": 150,
                "rate": 2.7,
                "lower": 1.0,
                "upper": 6.7
              },
              "category_median_count": 1,
              "category_median_base": 150,
              "category_median_rate": 0.7,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": true,
          "category_median_count": 12,
          "category_median_base": 150,
          "category_median_rate": 8.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        },
        {
          "vendor": "Jupiter",
          "frequency": {
            "count": 2,
            "base": 150,
            "rate": 1.3,
            "lower": 0.4,
            "upper": 4.7
          },
          "record_ids": [
            "loan-origination-software|q3|Claude|1",
            "loan-origination-software|q3|Claude|2"
          ],
          "evidence_ids": [
            "73d5ebd6e658143e504f",
            "3de2adf9898f43128f8c"
          ],
          "source_counts": [
            {
              "source": "no source shown",
              "answer_count": 2,
              "record_ids": [
                "loan-origination-software|q3|Claude|1",
                "loan-origination-software|q3|Claude|2"
              ],
              "frequency": {
                "count": 2,
                "base": 150,
                "rate": 1.3,
                "lower": 0.4,
                "upper": 4.7
              },
              "category_median_count": 6,
              "category_median_base": 150,
              "category_median_rate": 4.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": true,
          "category_median_count": 12,
          "category_median_base": 150,
          "category_median_rate": 8.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        },
        {
          "vendor": "LendingPad",
          "frequency": {
            "count": 4,
            "base": 150,
            "rate": 2.7,
            "lower": 1.0,
            "upper": 6.7
          },
          "record_ids": [
            "loan-origination-software|q3|Claude|1",
            "loan-origination-software|q3|Claude|2",
            "loan-origination-software|q3|Google AI Mode|1",
            "loan-origination-software|q3|Google AI Mode|3"
          ],
          "evidence_ids": [
            "6c65faa6900d43672b95",
            "bb2d8c9a17da935d2dc9",
            "e711cdd0f8ea3b2c55d6",
            "d5db6a31b57e4dcb459a"
          ],
          "source_counts": [
            {
              "source": "no source shown",
              "answer_count": 4,
              "record_ids": [
                "loan-origination-software|q3|Claude|1",
                "loan-origination-software|q3|Claude|2",
                "loan-origination-software|q3|Google AI Mode|1",
                "loan-origination-software|q3|Google AI Mode|3"
              ],
              "frequency": {
                "count": 4,
                "base": 150,
                "rate": 2.7,
                "lower": 1.0,
                "upper": 6.7
              },
              "category_median_count": 6,
              "category_median_base": 150,
              "category_median_rate": 4.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": true,
          "category_median_count": 12,
          "category_median_base": 150,
          "category_median_rate": 8.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        },
        {
          "vendor": "LoanPro",
          "frequency": {
            "count": 3,
            "base": 150,
            "rate": 2.0,
            "lower": 0.7,
            "upper": 5.7
          },
          "record_ids": [
            "loan-origination-software|q1|Google AI Overviews|3",
            "loan-origination-software|q2|Google AI Mode|1",
            "loan-origination-software|q2|Google AI Mode|2"
          ],
          "evidence_ids": [
            "32ea175a4d8401b50342",
            "e771390152fc2a5bf65a",
            "3d704db9551f292203d5"
          ],
          "source_counts": [
            {
              "source": "no source shown",
              "answer_count": 3,
              "record_ids": [
                "loan-origination-software|q1|Google AI Overviews|3",
                "loan-origination-software|q2|Google AI Mode|1",
                "loan-origination-software|q2|Google AI Mode|2"
              ],
              "frequency": {
                "count": 3,
                "base": 150,
                "rate": 2.0,
                "lower": 0.7,
                "upper": 5.7
              },
              "category_median_count": 6,
              "category_median_base": 150,
              "category_median_rate": 4.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": true,
          "category_median_count": 12,
          "category_median_base": 150,
          "category_median_rate": 8.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        },
        {
          "vendor": "MANTL",
          "frequency": {
            "count": 1,
            "base": 150,
            "rate": 0.7,
            "lower": 0.1,
            "upper": 3.7
          },
          "record_ids": [
            "loan-origination-software|q2|Google AI Mode|1"
          ],
          "evidence_ids": [
            "dc157bd141fdc55621f9"
          ],
          "source_counts": [
            {
              "source": "no source shown",
              "answer_count": 1,
              "record_ids": [
                "loan-origination-software|q2|Google AI Mode|1"
              ],
              "frequency": {
                "count": 1,
                "base": 150,
                "rate": 0.7,
                "lower": 0.1,
                "upper": 3.7
              },
              "category_median_count": 6,
              "category_median_base": 150,
              "category_median_rate": 4.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": false,
          "category_median_count": 12,
          "category_median_base": 150,
          "category_median_rate": 8.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        },
        {
          "vendor": "MeridianLink",
          "frequency": {
            "count": 15,
            "base": 150,
            "rate": 10.0,
            "lower": 6.2,
            "upper": 15.8
          },
          "record_ids": [
            "loan-origination-software|q1|Google AI Mode|1",
            "loan-origination-software|q1|Google AI Mode|2",
            "loan-origination-software|q1|Google AI Overviews|1",
            "loan-origination-software|q1|Google AI Overviews|2",
            "loan-origination-software|q1|Google AI Overviews|3",
            "loan-origination-software|q1|Perplexity|1",
            "loan-origination-software|q1|Perplexity|3",
            "loan-origination-software|q2|Google AI Mode|1",
            "loan-origination-software|q2|Google AI Mode|2",
            "loan-origination-software|q2|Google AI Overviews|2",
            "loan-origination-software|q2|Perplexity|1",
            "loan-origination-software|q2|Perplexity|2",
            "loan-origination-software|q2|Perplexity|3",
            "loan-origination-software|q7|Claude|1",
            "loan-origination-software|q7|Claude|3"
          ],
          "evidence_ids": [
            "f2c10598168844c2d25c",
            "bb0240f2d3f9cfb73bf7",
            "bdcff58efc6aee39a29e",
            "18658fc33e1e8c9bc8bc",
            "7d130e84eaa39b1e9f45",
            "34f7224e3311e140dbf9",
            "f0ceddc11b8405572a2a",
            "fad4bfca2d9d4c9d92f5",
            "33ccf4bce3ff174e102e",
            "6f2f7499f35103a5dc6c",
            "1ec6a029574cd239aadd",
            "14e8a7b21356daa86969",
            "e42df82702d2d71792bc",
            "b3ccdd2f772463527080",
            "bd2ebb1d859cfafa907b"
          ],
          "source_counts": [
            {
              "source": "https://creditunionlendingsoftware.com/best/consumer-loan-origination-software-for-credit-unions",
              "answer_count": 3,
              "record_ids": [
                "loan-origination-software|q2|Perplexity|1",
                "loan-origination-software|q2|Perplexity|2",
                "loan-origination-software|q2|Perplexity|3"
              ],
              "frequency": {
                "count": 3,
                "base": 150,
                "rate": 2.0,
                "lower": 0.7,
                "upper": 5.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            },
            {
              "source": "https://hesfintech.com/blog/best-loan-origination-systems/",
              "answer_count": 2,
              "record_ids": [
                "loan-origination-software|q1|Perplexity|1",
                "loan-origination-software|q1|Perplexity|3"
              ],
              "frequency": {
                "count": 2,
                "base": 150,
                "rate": 1.3,
                "lower": 0.4,
                "upper": 4.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            },
            {
              "source": "https://thelosdirectory.com/best/loan-origination-software",
              "answer_count": 1,
              "record_ids": [
                "loan-origination-software|q1|Perplexity|3"
              ],
              "frequency": {
                "count": 1,
                "base": 150,
                "rate": 0.7,
                "lower": 0.1,
                "upper": 3.7
              },
              "category_median_count": 1,
              "category_median_base": 150,
              "category_median_rate": 0.7,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            },
            {
              "source": "https://us.fitgap.com/search/loan-software/credit-unions",
              "answer_count": 3,
              "record_ids": [
                "loan-origination-software|q2|Perplexity|1",
                "loan-origination-software|q2|Perplexity|2",
                "loan-origination-software|q2|Perplexity|3"
              ],
              "frequency": {
                "count": 3,
                "base": 150,
                "rate": 2.0,
                "lower": 0.7,
                "upper": 5.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            },
            {
              "source": "https://www.backbase.com/blog/loan-origination-software",
              "answer_count": 2,
              "record_ids": [
                "loan-origination-software|q1|Perplexity|1",
                "loan-origination-software|q1|Perplexity|3"
              ],
              "frequency": {
                "count": 2,
                "base": 150,
                "rate": 1.3,
                "lower": 0.4,
                "upper": 4.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            },
            {
              "source": "https://www.loanpro.io/blog/best-loan-origination-software/",
              "answer_count": 2,
              "record_ids": [
                "loan-origination-software|q1|Perplexity|1",
                "loan-origination-software|q1|Perplexity|3"
              ],
              "frequency": {
                "count": 2,
                "base": 150,
                "rate": 1.3,
                "lower": 0.4,
                "upper": 4.7
              },
              "category_median_count": 1,
              "category_median_base": 150,
              "category_median_rate": 0.7,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            },
            {
              "source": "https://www.multimodal.dev/post/best-loan-origination-software",
              "answer_count": 3,
              "record_ids": [
                "loan-origination-software|q2|Perplexity|1",
                "loan-origination-software|q2|Perplexity|2",
                "loan-origination-software|q2|Perplexity|3"
              ],
              "frequency": {
                "count": 3,
                "base": 150,
                "rate": 2.0,
                "lower": 0.7,
                "upper": 5.7
              },
              "category_median_count": 1,
              "category_median_base": 150,
              "category_median_rate": 0.7,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            },
            {
              "source": "no source shown",
              "answer_count": 10,
              "record_ids": [
                "loan-origination-software|q1|Google AI Mode|1",
                "loan-origination-software|q1|Google AI Mode|2",
                "loan-origination-software|q1|Google AI Overviews|1",
                "loan-origination-software|q1|Google AI Overviews|2",
                "loan-origination-software|q1|Google AI Overviews|3",
                "loan-origination-software|q2|Google AI Mode|1",
                "loan-origination-software|q2|Google AI Mode|2",
                "loan-origination-software|q2|Google AI Overviews|2",
                "loan-origination-software|q7|Claude|1",
                "loan-origination-software|q7|Claude|3"
              ],
              "frequency": {
                "count": 10,
                "base": 150,
                "rate": 6.7,
                "lower": 3.7,
                "upper": 11.8
              },
              "category_median_count": 6,
              "category_median_base": 150,
              "category_median_rate": 4.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": true,
          "category_median_count": 12,
          "category_median_base": 150,
          "category_median_rate": 8.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        },
        {
          "vendor": "Mortgage Cadence",
          "frequency": {
            "count": 1,
            "base": 150,
            "rate": 0.7,
            "lower": 0.1,
            "upper": 3.7
          },
          "record_ids": [
            "loan-origination-software|q2|Perplexity|3"
          ],
          "evidence_ids": [
            "ac87a93117be22ddc689"
          ],
          "source_counts": [
            {
              "source": "https://creditunionlendingsoftware.com/best/consumer-loan-origination-software-for-credit-unions",
              "answer_count": 1,
              "record_ids": [
                "loan-origination-software|q2|Perplexity|3"
              ],
              "frequency": {
                "count": 1,
                "base": 150,
                "rate": 0.7,
                "lower": 0.1,
                "upper": 3.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            },
            {
              "source": "https://worldmetrics.org/best/credit-union-loan-origination-software/",
              "answer_count": 1,
              "record_ids": [
                "loan-origination-software|q2|Perplexity|3"
              ],
              "frequency": {
                "count": 1,
                "base": 150,
                "rate": 0.7,
                "lower": 0.1,
                "upper": 3.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": false,
          "category_median_count": 12,
          "category_median_base": 150,
          "category_median_rate": 8.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        },
        {
          "vendor": "Origence",
          "frequency": {
            "count": 5,
            "base": 150,
            "rate": 3.3,
            "lower": 1.4,
            "upper": 7.6
          },
          "record_ids": [
            "loan-origination-software|q2|Google AI Mode|2",
            "loan-origination-software|q2|Google AI Overviews|2",
            "loan-origination-software|q2|Perplexity|1",
            "loan-origination-software|q2|Perplexity|2",
            "loan-origination-software|q2|Perplexity|3"
          ],
          "evidence_ids": [
            "afb098759d0b6ac0c791",
            "606f25fa5b73f8f40084",
            "1474d4fc281796b3b07a",
            "b2f03c48e055b2a1148d",
            "d4a9c8c6bdb3584196c9"
          ],
          "source_counts": [
            {
              "source": "https://blog.digitalheroesco.com/best/best-loan-origination-software/",
              "answer_count": 3,
              "record_ids": [
                "loan-origination-software|q2|Perplexity|1",
                "loan-origination-software|q2|Perplexity|2",
                "loan-origination-software|q2|Perplexity|3"
              ],
              "frequency": {
                "count": 3,
                "base": 150,
                "rate": 2.0,
                "lower": 0.7,
                "upper": 5.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            },
            {
              "source": "https://creditunionlendingsoftware.com/best/consumer-loan-origination-software-for-credit-unions",
              "answer_count": 3,
              "record_ids": [
                "loan-origination-software|q2|Perplexity|1",
                "loan-origination-software|q2|Perplexity|2",
                "loan-origination-software|q2|Perplexity|3"
              ],
              "frequency": {
                "count": 3,
                "base": 150,
                "rate": 2.0,
                "lower": 0.7,
                "upper": 5.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            },
            {
              "source": "https://www.multimodal.dev/post/ai-powered-lending-platforms-for-credit-unions",
              "answer_count": 1,
              "record_ids": [
                "loan-origination-software|q2|Perplexity|1"
              ],
              "frequency": {
                "count": 1,
                "base": 150,
                "rate": 0.7,
                "lower": 0.1,
                "upper": 3.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            },
            {
              "source": "https://www.multimodal.dev/post/best-loan-origination-software",
              "answer_count": 1,
              "record_ids": [
                "loan-origination-software|q2|Perplexity|2"
              ],
              "frequency": {
                "count": 1,
                "base": 150,
                "rate": 0.7,
                "lower": 0.1,
                "upper": 3.7
              },
              "category_median_count": 1,
              "category_median_base": 150,
              "category_median_rate": 0.7,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            },
            {
              "source": "no source shown",
              "answer_count": 2,
              "record_ids": [
                "loan-origination-software|q2|Google AI Mode|2",
                "loan-origination-software|q2|Google AI Overviews|2"
              ],
              "frequency": {
                "count": 2,
                "base": 150,
                "rate": 1.3,
                "lower": 0.4,
                "upper": 4.7
              },
              "category_median_count": 6,
              "category_median_base": 150,
              "category_median_rate": 4.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": true,
          "category_median_count": 12,
          "category_median_base": 150,
          "category_median_rate": 8.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        },
        {
          "vendor": "nCino",
          "frequency": {
            "count": 13,
            "base": 150,
            "rate": 8.7,
            "lower": 5.1,
            "upper": 14.3
          },
          "record_ids": [
            "loan-origination-software|q1|Google AI Mode|1",
            "loan-origination-software|q1|Google AI Mode|2",
            "loan-origination-software|q1|Google AI Overviews|1",
            "loan-origination-software|q1|Google AI Overviews|2",
            "loan-origination-software|q1|Google AI Overviews|3",
            "loan-origination-software|q1|Perplexity|1",
            "loan-origination-software|q1|Perplexity|2",
            "loan-origination-software|q1|Perplexity|3",
            "loan-origination-software|q2|Google AI Mode|2",
            "loan-origination-software|q2|Perplexity|2",
            "loan-origination-software|q2|Perplexity|3",
            "loan-origination-software|q7|Claude|1",
            "loan-origination-software|q7|Claude|3"
          ],
          "evidence_ids": [
            "fb3eed837120fcc13ca5",
            "74f13ca06a4134f9e9bd",
            "ef0b852e5482f4d3744d",
            "25f1a92f5aba6c0317cb",
            "dfb7b28cf1f185825cd8",
            "34a5d3d48238906e3f11",
            "80a99c9bdf5cec9181d9",
            "d5b025e1a21a596df89d",
            "72e0b020ed3f0a8cdf95",
            "5e4757f6ee8bbe32cd77",
            "4a564d9bab1d758efec9",
            "06bcf52455f492016b57",
            "12409a1e3555afeadf97"
          ],
          "source_counts": [
            {
              "source": "https://thelosdirectory.com/best/commercial-lending",
              "answer_count": 3,
              "record_ids": [
                "loan-origination-software|q1|Perplexity|1",
                "loan-origination-software|q1|Perplexity|2",
                "loan-origination-software|q1|Perplexity|3"
              ],
              "frequency": {
                "count": 3,
                "base": 150,
                "rate": 2.0,
                "lower": 0.7,
                "upper": 5.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            },
            {
              "source": "https://thelosdirectory.com/best/loan-origination-software",
              "answer_count": 2,
              "record_ids": [
                "loan-origination-software|q1|Perplexity|1",
                "loan-origination-software|q1|Perplexity|2"
              ],
              "frequency": {
                "count": 2,
                "base": 150,
                "rate": 1.3,
                "lower": 0.4,
                "upper": 4.7
              },
              "category_median_count": 1,
              "category_median_base": 150,
              "category_median_rate": 0.7,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            },
            {
              "source": "https://thelosdirectory.com/segments/community-banks",
              "answer_count": 2,
              "record_ids": [
                "loan-origination-software|q1|Perplexity|1",
                "loan-origination-software|q1|Perplexity|3"
              ],
              "frequency": {
                "count": 2,
                "base": 150,
                "rate": 1.3,
                "lower": 0.4,
                "upper": 4.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            },
            {
              "source": "https://www.moxo.com/blog/best-loan-origination-sofware",
              "answer_count": 2,
              "record_ids": [
                "loan-origination-software|q2|Perplexity|2",
                "loan-origination-software|q2|Perplexity|3"
              ],
              "frequency": {
                "count": 2,
                "base": 150,
                "rate": 1.3,
                "lower": 0.4,
                "upper": 4.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            },
            {
              "source": "https://www.multimodal.dev/post/best-loan-origination-software",
              "answer_count": 2,
              "record_ids": [
                "loan-origination-software|q2|Perplexity|2",
                "loan-origination-software|q2|Perplexity|3"
              ],
              "frequency": {
                "count": 2,
                "base": 150,
                "rate": 1.3,
                "lower": 0.4,
                "upper": 4.7
              },
              "category_median_count": 1,
              "category_median_base": 150,
              "category_median_rate": 0.7,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            },
            {
              "source": "https://www.uptiq.ai/feeds/best-commercial-loan-origination-software-banks",
              "answer_count": 1,
              "record_ids": [
                "loan-origination-software|q1|Perplexity|3"
              ],
              "frequency": {
                "count": 1,
                "base": 150,
                "rate": 0.7,
                "lower": 0.1,
                "upper": 3.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            },
            {
              "source": "no source shown",
              "answer_count": 8,
              "record_ids": [
                "loan-origination-software|q1|Google AI Mode|1",
                "loan-origination-software|q1|Google AI Mode|2",
                "loan-origination-software|q1|Google AI Overviews|1",
                "loan-origination-software|q1|Google AI Overviews|2",
                "loan-origination-software|q1|Google AI Overviews|3",
                "loan-origination-software|q2|Google AI Mode|2",
                "loan-origination-software|q7|Claude|1",
                "loan-origination-software|q7|Claude|3"
              ],
              "frequency": {
                "count": 8,
                "base": 150,
                "rate": 5.3,
                "lower": 2.7,
                "upper": 10.2
              },
              "category_median_count": 6,
              "category_median_base": 150,
              "category_median_rate": 4.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": true,
          "category_median_count": 12,
          "category_median_base": 150,
          "category_median_rate": 8.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        }
      ],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "compliance",
      "canonical": "Applicable lending and jurisdictional compliance controls",
      "display_label": "Applicable lending and jurisdictional compliance controls",
      "frequency": {
        "count": 16,
        "base": 150,
        "rate": 10.7,
        "lower": 6.7,
        "upper": 16.6
      },
      "record_ids": [
        "loan-origination-software|q1|Google AI Mode|2",
        "loan-origination-software|q1|Google AI Overviews|3",
        "loan-origination-software|q9|ChatGPT|1",
        "loan-origination-software|q9|ChatGPT|2",
        "loan-origination-software|q9|ChatGPT|3",
        "loan-origination-software|q9|Claude|1",
        "loan-origination-software|q9|Claude|2",
        "loan-origination-software|q9|Claude|3",
        "loan-origination-software|q9|Google AI Mode|1",
        "loan-origination-software|q9|Google AI Mode|2",
        "loan-origination-software|q9|Google AI Mode|3",
        "loan-origination-software|q9|Google AI Overviews|2",
        "loan-origination-software|q9|Google AI Overviews|3",
        "loan-origination-software|q9|Perplexity|1",
        "loan-origination-software|q9|Perplexity|2",
        "loan-origination-software|q9|Perplexity|3"
      ],
      "evidence_ids": [
        "635e5abb88814e9c294c",
        "d491d0daed8abff41ef5",
        "0cfde623c52625b6f7e2",
        "ad3855089ec4c8ba116b",
        "d7c95999baa96eaa4183",
        "cea426e4bdd47ae775d9",
        "2e13e882d566d103ea2e",
        "fd362dfeae3a2b8eb30b",
        "8e4dd78eb08a50507658",
        "8c52de1e288e9284a4a2",
        "fe89737a15f89b5d82a4",
        "2b57a6270cb5bd569e8f",
        "053981529164dd8b18cb",
        "0b797f9da73ec2caf280",
        "4cb914f456487b47a556",
        "d8623d22003d377e1214",
        "a7aadff16dd9d42fcfa3",
        "6a8e930afe3e190c48f8",
        "e92dda94661a297a0f80",
        "e440b9fae36d061d54a2",
        "030fa8767746629f3fae",
        "f8a834c75ec22882be2e",
        "9dc0c2991de398c423b3",
        "b701aa743c7474fbc6bb",
        "ba9adc6102c8fb3626c0",
        "1dbe530978035ffd3141",
        "9054523e0f014bb3fe5e"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 1,
          "runs": [
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 2,
          "runs": [
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 1,
          "runs": [
            2
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|2",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|2",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.backbase.com/blog/loan-origination-software",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|2",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1"
          ]
        },
        {
          "source": "https://www.loanpro.io/platform/origination-suite/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|2",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.mortgageautomator.com/resources/what-is-a-loan-origination-system-los-and-do-you-need-one",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|2",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.vergentlms.com/servicing-vs-origination-loan-software/",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|2",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "no source shown",
          "answer_count": 13,
          "record_ids": [
            "loan-origination-software|q1|Google AI Mode|2",
            "loan-origination-software|q1|Google AI Overviews|3",
            "loan-origination-software|q9|ChatGPT|1",
            "loan-origination-software|q9|ChatGPT|2",
            "loan-origination-software|q9|ChatGPT|3",
            "loan-origination-software|q9|Claude|1",
            "loan-origination-software|q9|Claude|2",
            "loan-origination-software|q9|Claude|3",
            "loan-origination-software|q9|Google AI Mode|1",
            "loan-origination-software|q9|Google AI Mode|2",
            "loan-origination-software|q9|Google AI Mode|3",
            "loan-origination-software|q9|Google AI Overviews|2",
            "loan-origination-software|q9|Google AI Overviews|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "workflow_config",
      "canonical": "Configurable lending workflows",
      "display_label": "Configurable lending workflows",
      "frequency": {
        "count": 13,
        "base": 150,
        "rate": 8.7,
        "lower": 5.1,
        "upper": 14.3
      },
      "record_ids": [
        "loan-origination-software|q10|Google AI Mode|2",
        "loan-origination-software|q9|ChatGPT|1",
        "loan-origination-software|q9|ChatGPT|3",
        "loan-origination-software|q9|Claude|1",
        "loan-origination-software|q9|Claude|2",
        "loan-origination-software|q9|Google AI Mode|1",
        "loan-origination-software|q9|Google AI Mode|2",
        "loan-origination-software|q9|Google AI Mode|3",
        "loan-origination-software|q9|Google AI Overviews|1",
        "loan-origination-software|q9|Google AI Overviews|2",
        "loan-origination-software|q9|Google AI Overviews|3",
        "loan-origination-software|q9|Perplexity|2",
        "loan-origination-software|q9|Perplexity|3"
      ],
      "evidence_ids": [
        "bbe8a91673ab857d99e6",
        "6abd1130b6535a5f5765",
        "82f803582dc35d90b164",
        "69507390604700bed136",
        "c11dee429f176ca44fc0",
        "f87acfd2de2476ce04dd",
        "051d6f2b319af984aadd",
        "8d19afb066e3409c7c74",
        "870767dd48867ace50f0",
        "49d181a4b9c5b8553d65",
        "6cba24ff770d2abb94e2",
        "9ffcfc7e81e9fb8e62fd",
        "79546d032aec1ee9dc9e",
        "46057a517f65c2774a73",
        "2f074a93a4c4dc7fba25",
        "3be128f094033f4a996b",
        "fc8f16708f5676ebb9ef",
        "39f563d7b2cb29ca09f9",
        "8f4a49116ccc30a35455"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 2,
          "runs": [
            1,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 2,
          "runs": [
            1,
            2
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 2,
          "runs": [
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 1,
          "runs": [
            2
          ],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|2",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|2",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.backbase.com/blog/loan-origination-software",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|2",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "no source shown",
          "answer_count": 11,
          "record_ids": [
            "loan-origination-software|q10|Google AI Mode|2",
            "loan-origination-software|q9|ChatGPT|1",
            "loan-origination-software|q9|ChatGPT|3",
            "loan-origination-software|q9|Claude|1",
            "loan-origination-software|q9|Claude|2",
            "loan-origination-software|q9|Google AI Mode|1",
            "loan-origination-software|q9|Google AI Mode|2",
            "loan-origination-software|q9|Google AI Mode|3",
            "loan-origination-software|q9|Google AI Overviews|1",
            "loan-origination-software|q9|Google AI Overviews|2",
            "loan-origination-software|q9|Google AI Overviews|3"
          ]
        }
      ],
      "adjacent_vendors": [
        {
          "vendor": "Nortridge",
          "frequency": {
            "count": 1,
            "base": 150,
            "rate": 0.7,
            "lower": 0.1,
            "upper": 3.7
          },
          "record_ids": [
            "loan-origination-software|q10|Google AI Mode|2"
          ],
          "evidence_ids": [
            "6d9e444d9bfbee7aa721"
          ],
          "source_counts": [
            {
              "source": "no source shown",
              "answer_count": 1,
              "record_ids": [
                "loan-origination-software|q10|Google AI Mode|2"
              ],
              "frequency": {
                "count": 1,
                "base": 150,
                "rate": 0.7,
                "lower": 0.1,
                "upper": 3.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": false,
          "category_median_count": 0,
          "category_median_base": 150,
          "category_median_rate": 0.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        }
      ],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "totalcost",
      "canonical": "Full total cost of ownership",
      "display_label": "Full total cost of ownership",
      "frequency": {
        "count": 12,
        "base": 150,
        "rate": 8.0,
        "lower": 4.6,
        "upper": 13.5
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|1",
        "loan-origination-software|q9|ChatGPT|2",
        "loan-origination-software|q9|ChatGPT|3",
        "loan-origination-software|q9|Claude|1",
        "loan-origination-software|q9|Claude|2",
        "loan-origination-software|q9|Claude|3",
        "loan-origination-software|q9|Google AI Mode|2",
        "loan-origination-software|q9|Google AI Mode|3",
        "loan-origination-software|q9|Google AI Overviews|1",
        "loan-origination-software|q9|Perplexity|1",
        "loan-origination-software|q9|Perplexity|2",
        "loan-origination-software|q9|Perplexity|3"
      ],
      "evidence_ids": [
        "1198616ef37fdb8b3907",
        "832d3c4a5d7a999b59b3",
        "269b3feaa814a05f5a22",
        "a4567860c4b16acd6539",
        "a35e246e0c64bb6247af",
        "b909f6708360f5708fd3",
        "fdd87302ce9809453bcf",
        "7a92525bbd72d631f3fb",
        "d27359d8732e171a4bd7",
        "72c020282dc63dc10b0c",
        "f2d463f4c765d02f8f69",
        "103cfae544823bcf7ce7",
        "2c2a96c4ba655d540232",
        "78ba73593264f11182a7",
        "dad060737c65f6ff9a23",
        "c2b7a5680e92f7169501"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            1
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 2,
          "runs": [
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "https://www.backbase.com/blog/loan-origination-software",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|2",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.biz2x.com/loan-origination-software/5-must-have-features-for-a-loan-origination-system-in-2025/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "no source shown",
          "answer_count": 9,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|1",
            "loan-origination-software|q9|ChatGPT|2",
            "loan-origination-software|q9|ChatGPT|3",
            "loan-origination-software|q9|Claude|1",
            "loan-origination-software|q9|Claude|2",
            "loan-origination-software|q9|Claude|3",
            "loan-origination-software|q9|Google AI Mode|2",
            "loan-origination-software|q9|Google AI Mode|3",
            "loan-origination-software|q9|Google AI Overviews|1"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "activity_logs",
      "canonical": "Application and activity audit logs",
      "display_label": "Application and activity audit logs",
      "frequency": {
        "count": 11,
        "base": 150,
        "rate": 7.3,
        "lower": 4.1,
        "upper": 12.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|1",
        "loan-origination-software|q9|ChatGPT|2",
        "loan-origination-software|q9|ChatGPT|3",
        "loan-origination-software|q9|Google AI Mode|2",
        "loan-origination-software|q9|Google AI Mode|3",
        "loan-origination-software|q9|Google AI Overviews|1",
        "loan-origination-software|q9|Google AI Overviews|2",
        "loan-origination-software|q9|Google AI Overviews|3",
        "loan-origination-software|q9|Perplexity|1",
        "loan-origination-software|q9|Perplexity|2",
        "loan-origination-software|q9|Perplexity|3"
      ],
      "evidence_ids": [
        "839a9255e10b084361d8",
        "d5f88060474276a0f806",
        "6585814358642cd412ca",
        "066426141b137a71b8b6",
        "d5e55e477c7b9eb47edc",
        "44eebac7ebe47ba848fa",
        "7113801337781ac37e02",
        "a01f604a72a5ec0b1539",
        "c45decd41de566755625",
        "00c82f9de3f8a15c9478",
        "56376c99c581a720d76e",
        "139317e053830564c2d3"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 2,
          "runs": [
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|2",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|2",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.backbase.com/blog/loan-origination-software",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|2",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.ftc.gov/business-guidance/resources/ftc-safeguards-rule-what-your-business-needs-know",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|1",
            "loan-origination-software|q9|ChatGPT|3"
          ]
        },
        {
          "source": "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1"
          ]
        },
        {
          "source": "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|2",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.mortgageautomator.com/resources/what-is-a-loan-origination-system-los-and-do-you-need-one",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|2",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.vergentlms.com/servicing-vs-origination-loan-software/",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|2",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "no source shown",
          "answer_count": 6,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|2",
            "loan-origination-software|q9|Google AI Mode|2",
            "loan-origination-software|q9|Google AI Mode|3",
            "loan-origination-software|q9|Google AI Overviews|1",
            "loan-origination-software|q9|Google AI Overviews|2",
            "loan-origination-software|q9|Google AI Overviews|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "integration_general",
      "canonical": "Connections with the lender’s existing systems",
      "display_label": "Connections with the lender’s existing systems",
      "frequency": {
        "count": 11,
        "base": 150,
        "rate": 7.3,
        "lower": 4.1,
        "upper": 12.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|1",
        "loan-origination-software|q9|ChatGPT|2",
        "loan-origination-software|q9|ChatGPT|3",
        "loan-origination-software|q9|Claude|3",
        "loan-origination-software|q9|Google AI Mode|2",
        "loan-origination-software|q9|Google AI Mode|3",
        "loan-origination-software|q9|Google AI Overviews|1",
        "loan-origination-software|q9|Google AI Overviews|3",
        "loan-origination-software|q9|Perplexity|1",
        "loan-origination-software|q9|Perplexity|2",
        "loan-origination-software|q9|Perplexity|3"
      ],
      "evidence_ids": [
        "088ac67010bd7fb7bc44",
        "00b471d59822da997b6a",
        "95fc2fc3cddc3b6beea1",
        "b550d336b90013f4ee5e",
        "cc40c1a2f82aade225b2",
        "0aa46ff02f0c3608a1ff",
        "9ef8eaf70b05f271d9d7",
        "70517ff670458981901f",
        "db2c87de2534349f7be1",
        "587da59119fae7552f16",
        "0a1431ae1cc544e1cdea",
        "c2b6d5dcda0515ba1009",
        "22a368504ecdc5741bdc",
        "a205531bbcce2638fd76",
        "ba4cf19b6bced5cce0e3",
        "35fb488cbac777e74380"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 2,
          "runs": [
            1,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 2,
          "runs": [
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|2",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|2",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.backbase.com/blog/loan-origination-software",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|2",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1"
          ]
        },
        {
          "source": "https://www.loanpro.io/platform/origination-suite/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "no source shown",
          "answer_count": 8,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|1",
            "loan-origination-software|q9|ChatGPT|2",
            "loan-origination-software|q9|ChatGPT|3",
            "loan-origination-software|q9|Claude|3",
            "loan-origination-software|q9|Google AI Mode|2",
            "loan-origination-software|q9|Google AI Mode|3",
            "loan-origination-software|q9|Google AI Overviews|1",
            "loan-origination-software|q9|Google AI Overviews|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "underwrite",
      "canonical": "Underwriting and credit assessment support",
      "display_label": "Underwriting and credit assessment support",
      "frequency": {
        "count": 11,
        "base": 150,
        "rate": 7.3,
        "lower": 4.1,
        "upper": 12.7
      },
      "record_ids": [
        "loan-origination-software|q10|Claude|1",
        "loan-origination-software|q10|Claude|2",
        "loan-origination-software|q10|Claude|3",
        "loan-origination-software|q10|Google AI Overviews|1",
        "loan-origination-software|q9|ChatGPT|1",
        "loan-origination-software|q9|ChatGPT|2",
        "loan-origination-software|q9|ChatGPT|3",
        "loan-origination-software|q9|Google AI Overviews|1",
        "loan-origination-software|q9|Perplexity|1",
        "loan-origination-software|q9|Perplexity|2",
        "loan-origination-software|q9|Perplexity|3"
      ],
      "evidence_ids": [
        "2b3999c5cb11ffe00bd9",
        "0d990097fd9ff2d5f2fd",
        "9833a8a8871561b5bf07",
        "06b5e40fc4d653f0e644",
        "981297a4dc444d62a042",
        "338370a2ca8fbc469e4d",
        "fa58ab86ab5d26bd3a89",
        "5e2a8275cb3bfe8bff20",
        "5fe8af5474ce623f1984",
        "6e68adf33fdca5f89688",
        "a167a59eef4affc8e281",
        "4f9e7e838a7a17567ea9",
        "e49142855450562c1038",
        "d1b93e737896cbf434f3"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            1
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 1,
          "runs": [
            1
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "https://bakerhill.com/loan-origination-system-basics",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|2",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|2",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.backbase.com/blog/loan-origination-software",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|2",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|2",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.loanpro.io/platform/origination-suite/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|2",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.vergentlms.com/servicing-vs-origination-loan-software/",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|2",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.zeitro.com/blog/key-features-of-loan-origination-system-how-it-helps-lenders-and-loan-officers-close-more-loans-efficiently",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "no source shown",
          "answer_count": 8,
          "record_ids": [
            "loan-origination-software|q10|Claude|1",
            "loan-origination-software|q10|Claude|2",
            "loan-origination-software|q10|Claude|3",
            "loan-origination-software|q10|Google AI Overviews|1",
            "loan-origination-software|q9|ChatGPT|1",
            "loan-origination-software|q9|ChatGPT|2",
            "loan-origination-software|q9|ChatGPT|3",
            "loan-origination-software|q9|Google AI Overviews|1"
          ]
        }
      ],
      "adjacent_vendors": [
        {
          "vendor": "Abrigo",
          "frequency": {
            "count": 1,
            "base": 150,
            "rate": 0.7,
            "lower": 0.1,
            "upper": 3.7
          },
          "record_ids": [
            "loan-origination-software|q10|Claude|3"
          ],
          "evidence_ids": [
            "5833951008b33e0faab7"
          ],
          "source_counts": [
            {
              "source": "no source shown",
              "answer_count": 1,
              "record_ids": [
                "loan-origination-software|q10|Claude|3"
              ],
              "frequency": {
                "count": 1,
                "base": 150,
                "rate": 0.7,
                "lower": 0.1,
                "upper": 3.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": false,
          "category_median_count": 0,
          "category_median_base": 150,
          "category_median_rate": 0.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        },
        {
          "vendor": "HES LoanBox",
          "frequency": {
            "count": 3,
            "base": 150,
            "rate": 2.0,
            "lower": 0.7,
            "upper": 5.7
          },
          "record_ids": [
            "loan-origination-software|q10|Claude|1",
            "loan-origination-software|q10|Claude|2",
            "loan-origination-software|q10|Claude|3"
          ],
          "evidence_ids": [
            "ee3fe500ef567ec44ae6",
            "822540440a5849bdfb9e",
            "25cdfb73f7a94282a901"
          ],
          "source_counts": [
            {
              "source": "no source shown",
              "answer_count": 3,
              "record_ids": [
                "loan-origination-software|q10|Claude|1",
                "loan-origination-software|q10|Claude|2",
                "loan-origination-software|q10|Claude|3"
              ],
              "frequency": {
                "count": 3,
                "base": 150,
                "rate": 2.0,
                "lower": 0.7,
                "upper": 5.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": true,
          "category_median_count": 0,
          "category_median_base": 150,
          "category_median_rate": 0.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        },
        {
          "vendor": "LendFoundry",
          "frequency": {
            "count": 1,
            "base": 150,
            "rate": 0.7,
            "lower": 0.1,
            "upper": 3.7
          },
          "record_ids": [
            "loan-origination-software|q10|Claude|3"
          ],
          "evidence_ids": [
            "65e0be849db03ef1bcc7"
          ],
          "source_counts": [
            {
              "source": "no source shown",
              "answer_count": 1,
              "record_ids": [
                "loan-origination-software|q10|Claude|3"
              ],
              "frequency": {
                "count": 1,
                "base": 150,
                "rate": 0.7,
                "lower": 0.1,
                "upper": 3.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": false,
          "category_median_count": 0,
          "category_median_base": 150,
          "category_median_rate": 0.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        },
        {
          "vendor": "Newgen",
          "frequency": {
            "count": 2,
            "base": 150,
            "rate": 1.3,
            "lower": 0.4,
            "upper": 4.7
          },
          "record_ids": [
            "loan-origination-software|q10|Claude|1",
            "loan-origination-software|q10|Claude|2"
          ],
          "evidence_ids": [
            "779bda05434865fee893",
            "5cdffb7a112e95baba20"
          ],
          "source_counts": [
            {
              "source": "no source shown",
              "answer_count": 2,
              "record_ids": [
                "loan-origination-software|q10|Claude|1",
                "loan-origination-software|q10|Claude|2"
              ],
              "frequency": {
                "count": 2,
                "base": 150,
                "rate": 1.3,
                "lower": 0.4,
                "upper": 4.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": true,
          "category_median_count": 0,
          "category_median_base": 150,
          "category_median_rate": 0.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        },
        {
          "vendor": "Onyx IQ",
          "frequency": {
            "count": 2,
            "base": 150,
            "rate": 1.3,
            "lower": 0.4,
            "upper": 4.7
          },
          "record_ids": [
            "loan-origination-software|q10|Claude|1",
            "loan-origination-software|q10|Claude|2"
          ],
          "evidence_ids": [
            "966c96607a7ebda2c859",
            "d8ad0d101f3b22cc4e3e"
          ],
          "source_counts": [
            {
              "source": "no source shown",
              "answer_count": 2,
              "record_ids": [
                "loan-origination-software|q10|Claude|1",
                "loan-origination-software|q10|Claude|2"
              ],
              "frequency": {
                "count": 2,
                "base": 150,
                "rate": 1.3,
                "lower": 0.4,
                "upper": 4.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": true,
          "category_median_count": 0,
          "category_median_base": 150,
          "category_median_rate": 0.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        },
        {
          "vendor": "TurnKey Lender",
          "frequency": {
            "count": 1,
            "base": 150,
            "rate": 0.7,
            "lower": 0.1,
            "upper": 3.7
          },
          "record_ids": [
            "loan-origination-software|q10|Google AI Overviews|1"
          ],
          "evidence_ids": [
            "6ff0e0805b6a14e0c1fb"
          ],
          "source_counts": [
            {
              "source": "no source shown",
              "answer_count": 1,
              "record_ids": [
                "loan-origination-software|q10|Google AI Overviews|1"
              ],
              "frequency": {
                "count": 1,
                "base": 150,
                "rate": 0.7,
                "lower": 0.1,
                "upper": 3.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": false,
          "category_median_count": 0,
          "category_median_base": 150,
          "category_median_rate": 0.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        },
        {
          "vendor": "nCino",
          "frequency": {
            "count": 2,
            "base": 150,
            "rate": 1.3,
            "lower": 0.4,
            "upper": 4.7
          },
          "record_ids": [
            "loan-origination-software|q10|Claude|3",
            "loan-origination-software|q10|Google AI Overviews|1"
          ],
          "evidence_ids": [
            "6d07c02fec5506e40188",
            "aa6da840b1dba5fcf6a7"
          ],
          "source_counts": [
            {
              "source": "no source shown",
              "answer_count": 2,
              "record_ids": [
                "loan-origination-software|q10|Claude|3",
                "loan-origination-software|q10|Google AI Overviews|1"
              ],
              "frequency": {
                "count": 2,
                "base": 150,
                "rate": 1.3,
                "lower": 0.4,
                "upper": 4.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": true,
          "category_median_count": 0,
          "category_median_base": 150,
          "category_median_rate": 0.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        },
        {
          "vendor": "timveroOS",
          "frequency": {
            "count": 2,
            "base": 150,
            "rate": 1.3,
            "lower": 0.4,
            "upper": 4.7
          },
          "record_ids": [
            "loan-origination-software|q10|Claude|1",
            "loan-origination-software|q10|Claude|2"
          ],
          "evidence_ids": [
            "a5715b7bfc04cda9ac40",
            "ed8cbe2d19713256dca4"
          ],
          "source_counts": [
            {
              "source": "no source shown",
              "answer_count": 2,
              "record_ids": [
                "loan-origination-software|q10|Claude|1",
                "loan-origination-software|q10|Claude|2"
              ],
              "frequency": {
                "count": 2,
                "base": 150,
                "rate": 1.3,
                "lower": 0.4,
                "upper": 4.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": true,
          "category_median_count": 0,
          "category_median_base": 150,
          "category_median_rate": 0.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        }
      ],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "automation",
      "canonical": "Automation of repetitive loan processing work",
      "display_label": "Automation of repetitive loan processing work",
      "frequency": {
        "count": 10,
        "base": 150,
        "rate": 6.7,
        "lower": 3.7,
        "upper": 11.8
      },
      "record_ids": [
        "loan-origination-software|q1|Google AI Mode|2",
        "loan-origination-software|q9|Google AI Mode|1",
        "loan-origination-software|q9|Google AI Mode|2",
        "loan-origination-software|q9|Google AI Mode|3",
        "loan-origination-software|q9|Google AI Overviews|1",
        "loan-origination-software|q9|Google AI Overviews|2",
        "loan-origination-software|q9|Google AI Overviews|3",
        "loan-origination-software|q9|Perplexity|1",
        "loan-origination-software|q9|Perplexity|2",
        "loan-origination-software|q9|Perplexity|3"
      ],
      "evidence_ids": [
        "42ae4eff13ebd1b4c468",
        "5462b2c7c19d6ba98c10",
        "27282e6a3c837d1ac26d",
        "b721c58ae7938a11f139",
        "4a549b0b020723be51d3",
        "865a7cb6c208099f5407",
        "da8006fdedb6acb52e58",
        "030b4cad84b682edc282",
        "2654889a99a8620e5527",
        "4ef81e057456d73f1243",
        "dba0258cd44ab64042d6",
        "2a2bb8ccb3802224ef08",
        "3aed299aaa50cec4be41",
        "7d702c2e51e4bdc007f8",
        "66cd52c517147e119c7f",
        "0c0eb69df7f44eef947b"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 1,
          "runs": [
            2
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|2",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|2",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.backbase.com/blog/loan-origination-software",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|2",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|2",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.loanpro.io/platform/origination-suite/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|2",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.ranosys.com/blog/insights/how-can-financial-institutions-optimize-their-loan-origination-systems/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1"
          ]
        },
        {
          "source": "https://www.vergentlms.com/servicing-vs-origination-loan-software/",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|2",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "no source shown",
          "answer_count": 7,
          "record_ids": [
            "loan-origination-software|q1|Google AI Mode|2",
            "loan-origination-software|q9|Google AI Mode|1",
            "loan-origination-software|q9|Google AI Mode|2",
            "loan-origination-software|q9|Google AI Mode|3",
            "loan-origination-software|q9|Google AI Overviews|1",
            "loan-origination-software|q9|Google AI Overviews|2",
            "loan-origination-software|q9|Google AI Overviews|3"
          ]
        }
      ],
      "adjacent_vendors": [
        {
          "vendor": "Abrigo",
          "frequency": {
            "count": 1,
            "base": 150,
            "rate": 0.7,
            "lower": 0.1,
            "upper": 3.7
          },
          "record_ids": [
            "loan-origination-software|q1|Google AI Mode|2"
          ],
          "evidence_ids": [
            "46213a53a96ac3573e97"
          ],
          "source_counts": [
            {
              "source": "no source shown",
              "answer_count": 1,
              "record_ids": [
                "loan-origination-software|q1|Google AI Mode|2"
              ],
              "frequency": {
                "count": 1,
                "base": 150,
                "rate": 0.7,
                "lower": 0.1,
                "upper": 3.7
              },
              "category_median_count": 1,
              "category_median_base": 150,
              "category_median_rate": 0.7,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": false,
          "category_median_count": 1,
          "category_median_base": 150,
          "category_median_rate": 0.7,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        },
        {
          "vendor": "ICE Mortgage Technology",
          "frequency": {
            "count": 1,
            "base": 150,
            "rate": 0.7,
            "lower": 0.1,
            "upper": 3.7
          },
          "record_ids": [
            "loan-origination-software|q9|Google AI Mode|3"
          ],
          "evidence_ids": [
            "afbf0c06de4aa53d6d12"
          ],
          "source_counts": [
            {
              "source": "no source shown",
              "answer_count": 1,
              "record_ids": [
                "loan-origination-software|q9|Google AI Mode|3"
              ],
              "frequency": {
                "count": 1,
                "base": 150,
                "rate": 0.7,
                "lower": 0.1,
                "upper": 3.7
              },
              "category_median_count": 1,
              "category_median_base": 150,
              "category_median_rate": 0.7,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": false,
          "category_median_count": 1,
          "category_median_base": 150,
          "category_median_rate": 0.7,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        },
        {
          "vendor": "MeridianLink",
          "frequency": {
            "count": 2,
            "base": 150,
            "rate": 1.3,
            "lower": 0.4,
            "upper": 4.7
          },
          "record_ids": [
            "loan-origination-software|q1|Google AI Mode|2",
            "loan-origination-software|q9|Google AI Mode|3"
          ],
          "evidence_ids": [
            "29d235e34f648a533f72",
            "cf8de7b514b9a55c797b"
          ],
          "source_counts": [
            {
              "source": "no source shown",
              "answer_count": 2,
              "record_ids": [
                "loan-origination-software|q1|Google AI Mode|2",
                "loan-origination-software|q9|Google AI Mode|3"
              ],
              "frequency": {
                "count": 2,
                "base": 150,
                "rate": 1.3,
                "lower": 0.4,
                "upper": 4.7
              },
              "category_median_count": 1,
              "category_median_base": 150,
              "category_median_rate": 0.7,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": true,
          "category_median_count": 1,
          "category_median_base": 150,
          "category_median_rate": 0.7,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        },
        {
          "vendor": "TurnKey Lender",
          "frequency": {
            "count": 1,
            "base": 150,
            "rate": 0.7,
            "lower": 0.1,
            "upper": 3.7
          },
          "record_ids": [
            "loan-origination-software|q9|Google AI Overviews|2"
          ],
          "evidence_ids": [
            "8d297e32657a542e968a"
          ],
          "source_counts": [
            {
              "source": "no source shown",
              "answer_count": 1,
              "record_ids": [
                "loan-origination-software|q9|Google AI Overviews|2"
              ],
              "frequency": {
                "count": 1,
                "base": 150,
                "rate": 0.7,
                "lower": 0.1,
                "upper": 3.7
              },
              "category_median_count": 1,
              "category_median_base": 150,
              "category_median_rate": 0.7,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": false,
          "category_median_count": 1,
          "category_median_base": 150,
          "category_median_rate": 0.7,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        }
      ],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "nocode",
      "canonical": "Configuration without extensive custom programming",
      "display_label": "Configuration without extensive custom programming",
      "frequency": {
        "count": 10,
        "base": 150,
        "rate": 6.7,
        "lower": 3.7,
        "upper": 11.8
      },
      "record_ids": [
        "loan-origination-software|q9|Claude|1",
        "loan-origination-software|q9|Claude|2",
        "loan-origination-software|q9|Claude|3",
        "loan-origination-software|q9|Google AI Mode|1",
        "loan-origination-software|q9|Google AI Mode|2",
        "loan-origination-software|q9|Google AI Mode|3",
        "loan-origination-software|q9|Google AI Overviews|1",
        "loan-origination-software|q9|Google AI Overviews|2",
        "loan-origination-software|q9|Perplexity|1",
        "loan-origination-software|q9|Perplexity|3"
      ],
      "evidence_ids": [
        "2a9aef6cfa9d8e2dc201",
        "02f0d22f19310a9089dc",
        "a185c457b89c1d23e556",
        "8d5c3855e965cdd50bec",
        "922d972143a6633ec40b",
        "c1686489a81226a298dd",
        "81c5fd1c8ed05ea44330",
        "ce47372d095044a26423",
        "f73ca1a488054a075e37",
        "28b01bb60ac78ad5f84e"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 2,
          "runs": [
            1,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 2,
          "runs": [
            1,
            2
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.backbase.com/blog/loan-origination-software",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1"
          ]
        },
        {
          "source": "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.novactech.com/blog/loan-origination-systems-complete-guide",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1"
          ]
        },
        {
          "source": "no source shown",
          "answer_count": 8,
          "record_ids": [
            "loan-origination-software|q9|Claude|1",
            "loan-origination-software|q9|Claude|2",
            "loan-origination-software|q9|Claude|3",
            "loan-origination-software|q9|Google AI Mode|1",
            "loan-origination-software|q9|Google AI Mode|2",
            "loan-origination-software|q9|Google AI Mode|3",
            "loan-origination-software|q9|Google AI Overviews|1",
            "loan-origination-software|q9|Google AI Overviews|2"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "volume_growth",
      "canonical": "Growth in lending volumes",
      "display_label": "Growth in lending volumes",
      "frequency": {
        "count": 10,
        "base": 150,
        "rate": 6.7,
        "lower": 3.7,
        "upper": 11.8
      },
      "record_ids": [
        "loan-origination-software|q9|Claude|1",
        "loan-origination-software|q9|Claude|2",
        "loan-origination-software|q9|Claude|3",
        "loan-origination-software|q9|Google AI Mode|1",
        "loan-origination-software|q9|Google AI Mode|2",
        "loan-origination-software|q9|Google AI Mode|3",
        "loan-origination-software|q9|Google AI Overviews|2",
        "loan-origination-software|q9|Perplexity|1",
        "loan-origination-software|q9|Perplexity|2",
        "loan-origination-software|q9|Perplexity|3"
      ],
      "evidence_ids": [
        "fba18cbb5857ecf62d6d",
        "86dde17979b02ee2ff80",
        "7541ebbf7c7b8c6335c0",
        "308ef852052830054a09",
        "216189a760213deb5319",
        "1f57d824ef8982db1189",
        "6a4c6b11621f97b5a731",
        "32627a80f98d5b563bed",
        "39ee306ef0800d0e9ac4",
        "51f910a7c28b2ad2942d",
        "b49eeeee12aa14f172b6",
        "cabd3bc5d305e2e34c4d",
        "0e6e323c2a3b6af4fafc",
        "6602220f4c0d8a92fb87",
        "115344370c7c697a533d",
        "1f661bda489a8932f604"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            2
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|2",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|2",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.backbase.com/blog/loan-origination-software",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|2",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.biz2x.com/loan-origination-software/5-must-have-features-for-a-loan-origination-system-in-2025/",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|2"
          ]
        },
        {
          "source": "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1"
          ]
        },
        {
          "source": "https://www.loanpro.io/platform/origination-suite/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1"
          ]
        },
        {
          "source": "no source shown",
          "answer_count": 7,
          "record_ids": [
            "loan-origination-software|q9|Claude|1",
            "loan-origination-software|q9|Claude|2",
            "loan-origination-software|q9|Claude|3",
            "loan-origination-software|q9|Google AI Mode|1",
            "loan-origination-software|q9|Google AI Mode|2",
            "loan-origination-software|q9|Google AI Mode|3",
            "loan-origination-software|q9|Google AI Overviews|2"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "core_connections",
      "canonical": "Core banking connections",
      "display_label": "Core banking connections",
      "frequency": {
        "count": 9,
        "base": 150,
        "rate": 6.0,
        "lower": 3.2,
        "upper": 11.0
      },
      "record_ids": [
        "loan-origination-software|q1|Google AI Mode|1",
        "loan-origination-software|q1|Google AI Overviews|3",
        "loan-origination-software|q2|Google AI Mode|1",
        "loan-origination-software|q2|Google AI Overviews|1",
        "loan-origination-software|q9|ChatGPT|1",
        "loan-origination-software|q9|ChatGPT|2",
        "loan-origination-software|q9|ChatGPT|3",
        "loan-origination-software|q9|Google AI Mode|2",
        "loan-origination-software|q9|Google AI Overviews|3"
      ],
      "evidence_ids": [
        "41f04507991b7b7b4f17",
        "d08f32a40c6a03332b56",
        "e2ce3f444521f8630064",
        "c5a994baec932c30b1c7",
        "75a523e5cb14bb302676",
        "73365f78c33f0d3ad47f",
        "f2ef7661977a73f8c90b",
        "6de723d26ada8cf504d0",
        "e6dfb538b7741fc8d0ca"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 1,
          "runs": [
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 1,
          "runs": [
            1
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 1,
          "runs": [
            1
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 1,
          "runs": [
            1
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            2
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 9,
          "record_ids": [
            "loan-origination-software|q1|Google AI Mode|1",
            "loan-origination-software|q1|Google AI Overviews|3",
            "loan-origination-software|q2|Google AI Mode|1",
            "loan-origination-software|q2|Google AI Overviews|1",
            "loan-origination-software|q9|ChatGPT|1",
            "loan-origination-software|q9|ChatGPT|2",
            "loan-origination-software|q9|ChatGPT|3",
            "loan-origination-software|q9|Google AI Mode|2",
            "loan-origination-software|q9|Google AI Overviews|3"
          ]
        }
      ],
      "adjacent_vendors": [
        {
          "vendor": "Finastra",
          "frequency": {
            "count": 1,
            "base": 150,
            "rate": 0.7,
            "lower": 0.1,
            "upper": 3.7
          },
          "record_ids": [
            "loan-origination-software|q1|Google AI Mode|1"
          ],
          "evidence_ids": [
            "c6c182146bd9e5299996"
          ],
          "source_counts": [
            {
              "source": "no source shown",
              "answer_count": 1,
              "record_ids": [
                "loan-origination-software|q1|Google AI Mode|1"
              ],
              "frequency": {
                "count": 1,
                "base": 150,
                "rate": 0.7,
                "lower": 0.1,
                "upper": 3.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": false,
          "category_median_count": 0,
          "category_median_base": 150,
          "category_median_rate": 0.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        },
        {
          "vendor": "Fuse",
          "frequency": {
            "count": 1,
            "base": 150,
            "rate": 0.7,
            "lower": 0.1,
            "upper": 3.7
          },
          "record_ids": [
            "loan-origination-software|q2|Google AI Mode|1"
          ],
          "evidence_ids": [
            "17717c9ff88b47713822"
          ],
          "source_counts": [
            {
              "source": "no source shown",
              "answer_count": 1,
              "record_ids": [
                "loan-origination-software|q2|Google AI Mode|1"
              ],
              "frequency": {
                "count": 1,
                "base": 150,
                "rate": 0.7,
                "lower": 0.1,
                "upper": 3.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": false,
          "category_median_count": 0,
          "category_median_base": 150,
          "category_median_rate": 0.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        }
      ],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "cloud",
      "canonical": "Cloud based infrastructure",
      "display_label": "Cloud based infrastructure",
      "frequency": {
        "count": 8,
        "base": 150,
        "rate": 5.3,
        "lower": 2.7,
        "upper": 10.2
      },
      "record_ids": [
        "loan-origination-software|q3|Google AI Mode|1",
        "loan-origination-software|q3|Google AI Mode|3",
        "loan-origination-software|q9|Claude|2",
        "loan-origination-software|q9|Claude|3",
        "loan-origination-software|q9|Google AI Mode|2",
        "loan-origination-software|q9|Google AI Mode|3",
        "loan-origination-software|q9|Google AI Overviews|2",
        "loan-origination-software|q9|Google AI Overviews|3"
      ],
      "evidence_ids": [
        "9291ad2213cffacf7f8a",
        "a4251202986bd19a64ae",
        "20cccc9556af2cb664fd",
        "061a339125bd4ee6df56",
        "0c422fc4759ce2b3d751",
        "aa0b87f36913edc59e68",
        "99d42292ba95cdc65ea5",
        "c5f85d5636f5887bcebe"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 2,
          "runs": [
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 2,
          "runs": [
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 2,
          "runs": [
            1,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 2,
          "runs": [
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 8,
          "record_ids": [
            "loan-origination-software|q3|Google AI Mode|1",
            "loan-origination-software|q3|Google AI Mode|3",
            "loan-origination-software|q9|Claude|2",
            "loan-origination-software|q9|Claude|3",
            "loan-origination-software|q9|Google AI Mode|2",
            "loan-origination-software|q9|Google AI Mode|3",
            "loan-origination-software|q9|Google AI Overviews|2",
            "loan-origination-software|q9|Google AI Overviews|3"
          ]
        }
      ],
      "adjacent_vendors": [
        {
          "vendor": "Calyx",
          "frequency": {
            "count": 1,
            "base": 150,
            "rate": 0.7,
            "lower": 0.1,
            "upper": 3.7
          },
          "record_ids": [
            "loan-origination-software|q3|Google AI Mode|3"
          ],
          "evidence_ids": [
            "0a8e50aa47095207f43a"
          ],
          "source_counts": [
            {
              "source": "no source shown",
              "answer_count": 1,
              "record_ids": [
                "loan-origination-software|q3|Google AI Mode|3"
              ],
              "frequency": {
                "count": 1,
                "base": 150,
                "rate": 0.7,
                "lower": 0.1,
                "upper": 3.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": false,
          "category_median_count": 0,
          "category_median_base": 150,
          "category_median_rate": 0.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        },
        {
          "vendor": "LendingPad",
          "frequency": {
            "count": 2,
            "base": 150,
            "rate": 1.3,
            "lower": 0.4,
            "upper": 4.7
          },
          "record_ids": [
            "loan-origination-software|q3|Google AI Mode|1",
            "loan-origination-software|q3|Google AI Mode|3"
          ],
          "evidence_ids": [
            "bc11320665f7039e838f",
            "da78919a7d7a9c13785f"
          ],
          "source_counts": [
            {
              "source": "no source shown",
              "answer_count": 2,
              "record_ids": [
                "loan-origination-software|q3|Google AI Mode|1",
                "loan-origination-software|q3|Google AI Mode|3"
              ],
              "frequency": {
                "count": 2,
                "base": 150,
                "rate": 1.3,
                "lower": 0.4,
                "upper": 4.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": true,
          "category_median_count": 0,
          "category_median_base": 150,
          "category_median_rate": 0.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        }
      ],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "unified",
      "canonical": "Connected lending lifecycle from application to funding or servicing",
      "display_label": "Connected lending lifecycle from application to funding or servicing",
      "frequency": {
        "count": 8,
        "base": 150,
        "rate": 5.3,
        "lower": 2.7,
        "upper": 10.2
      },
      "record_ids": [
        "loan-origination-software|q10|Claude|1",
        "loan-origination-software|q10|Claude|2",
        "loan-origination-software|q10|Claude|3",
        "loan-origination-software|q10|Google AI Mode|2",
        "loan-origination-software|q10|Google AI Mode|3",
        "loan-origination-software|q9|ChatGPT|1",
        "loan-origination-software|q9|ChatGPT|3",
        "loan-origination-software|q9|Perplexity|3"
      ],
      "evidence_ids": [
        "ed66e2deda8a6b6d5686",
        "50b0587323614d6e06ac",
        "1d47ad9d75e2696a80ae",
        "886702593cfb9351e24f",
        "30d1da56092a5d10a342",
        "c7a8e91614ccc5eaca29",
        "cd7ff4d98d90b1b32c3a",
        "e16d9e6623e249183be9"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 2,
          "runs": [
            1,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 2,
          "runs": [
            2,
            3
          ],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.backbase.com/blog/loan-origination-software",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.loanpro.io/platform/origination-suite/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "no source shown",
          "answer_count": 7,
          "record_ids": [
            "loan-origination-software|q10|Claude|1",
            "loan-origination-software|q10|Claude|2",
            "loan-origination-software|q10|Claude|3",
            "loan-origination-software|q10|Google AI Mode|2",
            "loan-origination-software|q10|Google AI Mode|3",
            "loan-origination-software|q9|ChatGPT|1",
            "loan-origination-software|q9|ChatGPT|3"
          ]
        }
      ],
      "adjacent_vendors": [
        {
          "vendor": "Cync Software",
          "frequency": {
            "count": 1,
            "base": 150,
            "rate": 0.7,
            "lower": 0.1,
            "upper": 3.7
          },
          "record_ids": [
            "loan-origination-software|q10|Google AI Mode|3"
          ],
          "evidence_ids": [
            "7a5832b077a21e448c15"
          ],
          "source_counts": [
            {
              "source": "no source shown",
              "answer_count": 1,
              "record_ids": [
                "loan-origination-software|q10|Google AI Mode|3"
              ],
              "frequency": {
                "count": 1,
                "base": 150,
                "rate": 0.7,
                "lower": 0.1,
                "upper": 3.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": false,
          "category_median_count": 0,
          "category_median_base": 150,
          "category_median_rate": 0.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        },
        {
          "vendor": "FIS",
          "frequency": {
            "count": 2,
            "base": 150,
            "rate": 1.3,
            "lower": 0.4,
            "upper": 4.7
          },
          "record_ids": [
            "loan-origination-software|q10|Claude|1",
            "loan-origination-software|q10|Claude|2"
          ],
          "evidence_ids": [
            "a3af2265b729e7f52a9b",
            "99dfcf2eff73851e8b00"
          ],
          "source_counts": [
            {
              "source": "no source shown",
              "answer_count": 2,
              "record_ids": [
                "loan-origination-software|q10|Claude|1",
                "loan-origination-software|q10|Claude|2"
              ],
              "frequency": {
                "count": 2,
                "base": 150,
                "rate": 1.3,
                "lower": 0.4,
                "upper": 4.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": true,
          "category_median_count": 0,
          "category_median_base": 150,
          "category_median_rate": 0.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        },
        {
          "vendor": "Finastra",
          "frequency": {
            "count": 1,
            "base": 150,
            "rate": 0.7,
            "lower": 0.1,
            "upper": 3.7
          },
          "record_ids": [
            "loan-origination-software|q10|Claude|3"
          ],
          "evidence_ids": [
            "e8bee495afbea18d64d7"
          ],
          "source_counts": [
            {
              "source": "no source shown",
              "answer_count": 1,
              "record_ids": [
                "loan-origination-software|q10|Claude|3"
              ],
              "frequency": {
                "count": 1,
                "base": 150,
                "rate": 0.7,
                "lower": 0.1,
                "upper": 3.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": false,
          "category_median_count": 0,
          "category_median_base": 150,
          "category_median_rate": 0.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        },
        {
          "vendor": "HES LoanBox",
          "frequency": {
            "count": 3,
            "base": 150,
            "rate": 2.0,
            "lower": 0.7,
            "upper": 5.7
          },
          "record_ids": [
            "loan-origination-software|q10|Claude|1",
            "loan-origination-software|q10|Claude|2",
            "loan-origination-software|q10|Claude|3"
          ],
          "evidence_ids": [
            "240e298d7ee6d943dbc4",
            "4caa864537a4783dfb5d",
            "128d6d7df78930b32b8b"
          ],
          "source_counts": [
            {
              "source": "no source shown",
              "answer_count": 3,
              "record_ids": [
                "loan-origination-software|q10|Claude|1",
                "loan-origination-software|q10|Claude|2",
                "loan-origination-software|q10|Claude|3"
              ],
              "frequency": {
                "count": 3,
                "base": 150,
                "rate": 2.0,
                "lower": 0.7,
                "upper": 5.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": true,
          "category_median_count": 0,
          "category_median_base": 150,
          "category_median_rate": 0.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        },
        {
          "vendor": "LendFoundry",
          "frequency": {
            "count": 1,
            "base": 150,
            "rate": 0.7,
            "lower": 0.1,
            "upper": 3.7
          },
          "record_ids": [
            "loan-origination-software|q10|Claude|3"
          ],
          "evidence_ids": [
            "27e2989cad73cbfc34ab"
          ],
          "source_counts": [
            {
              "source": "no source shown",
              "answer_count": 1,
              "record_ids": [
                "loan-origination-software|q10|Claude|3"
              ],
              "frequency": {
                "count": 1,
                "base": 150,
                "rate": 0.7,
                "lower": 0.1,
                "upper": 3.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": false,
          "category_median_count": 0,
          "category_median_base": 150,
          "category_median_rate": 0.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        },
        {
          "vendor": "LoanPro",
          "frequency": {
            "count": 2,
            "base": 150,
            "rate": 1.3,
            "lower": 0.4,
            "upper": 4.7
          },
          "record_ids": [
            "loan-origination-software|q10|Google AI Mode|2",
            "loan-origination-software|q10|Google AI Mode|3"
          ],
          "evidence_ids": [
            "650f6bcdc585c0d544e0",
            "33ed4e0e90fcb5caa6fb"
          ],
          "source_counts": [
            {
              "source": "no source shown",
              "answer_count": 2,
              "record_ids": [
                "loan-origination-software|q10|Google AI Mode|2",
                "loan-origination-software|q10|Google AI Mode|3"
              ],
              "frequency": {
                "count": 2,
                "base": 150,
                "rate": 1.3,
                "lower": 0.4,
                "upper": 4.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": true,
          "category_median_count": 0,
          "category_median_base": 150,
          "category_median_rate": 0.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        },
        {
          "vendor": "Newgen",
          "frequency": {
            "count": 2,
            "base": 150,
            "rate": 1.3,
            "lower": 0.4,
            "upper": 4.7
          },
          "record_ids": [
            "loan-origination-software|q10|Claude|1",
            "loan-origination-software|q10|Claude|2"
          ],
          "evidence_ids": [
            "bd24902b84f34f4c2dd7",
            "303be4cdb260a306821f"
          ],
          "source_counts": [
            {
              "source": "no source shown",
              "answer_count": 2,
              "record_ids": [
                "loan-origination-software|q10|Claude|1",
                "loan-origination-software|q10|Claude|2"
              ],
              "frequency": {
                "count": 2,
                "base": 150,
                "rate": 1.3,
                "lower": 0.4,
                "upper": 4.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": true,
          "category_median_count": 0,
          "category_median_base": 150,
          "category_median_rate": 0.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        },
        {
          "vendor": "Onyx IQ",
          "frequency": {
            "count": 2,
            "base": 150,
            "rate": 1.3,
            "lower": 0.4,
            "upper": 4.7
          },
          "record_ids": [
            "loan-origination-software|q10|Claude|1",
            "loan-origination-software|q10|Claude|2"
          ],
          "evidence_ids": [
            "558f36708e089fd2ef8b",
            "d0259094b2df8eb2e4fa"
          ],
          "source_counts": [
            {
              "source": "no source shown",
              "answer_count": 2,
              "record_ids": [
                "loan-origination-software|q10|Claude|1",
                "loan-origination-software|q10|Claude|2"
              ],
              "frequency": {
                "count": 2,
                "base": 150,
                "rate": 1.3,
                "lower": 0.4,
                "upper": 4.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": true,
          "category_median_count": 0,
          "category_median_base": 150,
          "category_median_rate": 0.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        },
        {
          "vendor": "TurnKey Lender",
          "frequency": {
            "count": 2,
            "base": 150,
            "rate": 1.3,
            "lower": 0.4,
            "upper": 4.7
          },
          "record_ids": [
            "loan-origination-software|q10|Google AI Mode|2",
            "loan-origination-software|q10|Google AI Mode|3"
          ],
          "evidence_ids": [
            "1203251627ace121fe48",
            "57b5051a2f6a3e451eb2"
          ],
          "source_counts": [
            {
              "source": "no source shown",
              "answer_count": 2,
              "record_ids": [
                "loan-origination-software|q10|Google AI Mode|2",
                "loan-origination-software|q10|Google AI Mode|3"
              ],
              "frequency": {
                "count": 2,
                "base": 150,
                "rate": 1.3,
                "lower": 0.4,
                "upper": 4.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": true,
          "category_median_count": 0,
          "category_median_base": 150,
          "category_median_rate": 0.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        },
        {
          "vendor": "nCino",
          "frequency": {
            "count": 2,
            "base": 150,
            "rate": 1.3,
            "lower": 0.4,
            "upper": 4.7
          },
          "record_ids": [
            "loan-origination-software|q10|Claude|1",
            "loan-origination-software|q10|Claude|3"
          ],
          "evidence_ids": [
            "91ab24f183100bf35da6",
            "c64033f995c94a72ab8c"
          ],
          "source_counts": [
            {
              "source": "no source shown",
              "answer_count": 2,
              "record_ids": [
                "loan-origination-software|q10|Claude|1",
                "loan-origination-software|q10|Claude|3"
              ],
              "frequency": {
                "count": 2,
                "base": 150,
                "rate": 1.3,
                "lower": 0.4,
                "upper": 4.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": true,
          "category_median_count": 0,
          "category_median_base": 150,
          "category_median_rate": 0.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        },
        {
          "vendor": "timveroOS",
          "frequency": {
            "count": 1,
            "base": 150,
            "rate": 0.7,
            "lower": 0.1,
            "upper": 3.7
          },
          "record_ids": [
            "loan-origination-software|q10|Claude|2"
          ],
          "evidence_ids": [
            "204d0ccfc91216cef927"
          ],
          "source_counts": [
            {
              "source": "no source shown",
              "answer_count": 1,
              "record_ids": [
                "loan-origination-software|q10|Claude|2"
              ],
              "frequency": {
                "count": 1,
                "base": 150,
                "rate": 0.7,
                "lower": 0.1,
                "upper": 3.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": false,
          "category_median_count": 0,
          "category_median_base": 150,
          "category_median_rate": 0.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        }
      ],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "bureau_connections",
      "canonical": "Credit bureau connections",
      "display_label": "Credit bureau connections",
      "frequency": {
        "count": 8,
        "base": 150,
        "rate": 5.3,
        "lower": 2.7,
        "upper": 10.2
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|1",
        "loan-origination-software|q9|ChatGPT|2",
        "loan-origination-software|q9|ChatGPT|3",
        "loan-origination-software|q9|Google AI Mode|2",
        "loan-origination-software|q9|Google AI Overviews|1",
        "loan-origination-software|q9|Google AI Overviews|2",
        "loan-origination-software|q9|Google AI Overviews|3",
        "loan-origination-software|q9|Perplexity|3"
      ],
      "evidence_ids": [
        "59b34c028455c3b351c7",
        "c84f2e5670cb13e5a712",
        "a2b7305f7ee2b2a5fa99",
        "1b8b723733bbbc5d85c1",
        "4cc0f3144380824fd65e",
        "0f151bc80bfc725b5e18",
        "135592c530652253035e",
        "0d4b3bfd23b889bb6673"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            2
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.backbase.com/blog/loan-origination-software",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "no source shown",
          "answer_count": 7,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|1",
            "loan-origination-software|q9|ChatGPT|2",
            "loan-origination-software|q9|ChatGPT|3",
            "loan-origination-software|q9|Google AI Mode|2",
            "loan-origination-software|q9|Google AI Overviews|1",
            "loan-origination-software|q9|Google AI Overviews|2",
            "loan-origination-software|q9|Google AI Overviews|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "encrypt",
      "canonical": "Data encryption",
      "display_label": "Data encryption",
      "frequency": {
        "count": 8,
        "base": 150,
        "rate": 5.3,
        "lower": 2.7,
        "upper": 10.2
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|1",
        "loan-origination-software|q9|ChatGPT|2",
        "loan-origination-software|q9|ChatGPT|3",
        "loan-origination-software|q9|Google AI Mode|1",
        "loan-origination-software|q9|Google AI Mode|2",
        "loan-origination-software|q9|Perplexity|1",
        "loan-origination-software|q9|Perplexity|2",
        "loan-origination-software|q9|Perplexity|3"
      ],
      "evidence_ids": [
        "e562515e33b709bbb8fa",
        "243a273c5088da6933dd",
        "3306d3b7e97edde2dd43",
        "34f97c333520ef46a81f",
        "f8f8ad408b70e38bf267",
        "00e61bb2b5baa3649211",
        "1d1a68dad954282cdf5d",
        "c9b948a9f8510b38568f"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 2,
          "runs": [
            1,
            2
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "https://www.ftc.gov/business-guidance/resources/ftc-safeguards-rule-what-your-business-needs-know",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|1",
            "loan-origination-software|q9|ChatGPT|2",
            "loan-origination-software|q9|ChatGPT|3"
          ]
        },
        {
          "source": "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|2",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.mortgageautomator.com/resources/what-is-a-loan-origination-system-los-and-do-you-need-one",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1"
          ]
        },
        {
          "source": "no source shown",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|Google AI Mode|1",
            "loan-origination-software|q9|Google AI Mode|2"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "intake",
      "canonical": "Digital loan application intake",
      "display_label": "Digital loan application intake",
      "frequency": {
        "count": 8,
        "base": 150,
        "rate": 5.3,
        "lower": 2.7,
        "upper": 10.2
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|1",
        "loan-origination-software|q9|ChatGPT|2",
        "loan-origination-software|q9|ChatGPT|3",
        "loan-origination-software|q9|Google AI Overviews|1",
        "loan-origination-software|q9|Google AI Overviews|3",
        "loan-origination-software|q9|Perplexity|1",
        "loan-origination-software|q9|Perplexity|2",
        "loan-origination-software|q9|Perplexity|3"
      ],
      "evidence_ids": [
        "51a94e95934a4392bdb5",
        "e1455b71288ea2773e6e",
        "2eea947c3b26098b9b55",
        "266fdbb5afe57002c366",
        "1749be121e5955356984",
        "8027bec0be0632c82adc",
        "b1657ae841964a714338",
        "faa2960c4836ceabe8f3",
        "cc887e4dcc8ad7d4de99",
        "9de0715834ce90986150",
        "1f789e9ab1946f14f360"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 2,
          "runs": [
            1,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|2",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|2",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.abrigo.com/blog/basic-functions-loan-origination-system/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1"
          ]
        },
        {
          "source": "https://www.backbase.com/blog/loan-origination-software",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|2",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1"
          ]
        },
        {
          "source": "https://www.loanpro.io/platform/origination-suite/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1"
          ]
        },
        {
          "source": "no source shown",
          "answer_count": 5,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|1",
            "loan-origination-software|q9|ChatGPT|2",
            "loan-origination-software|q9|ChatGPT|3",
            "loan-origination-software|q9|Google AI Overviews|1",
            "loan-origination-software|q9|Google AI Overviews|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "verification_connections",
      "canonical": "Identity, fraud, income or asset verification connections",
      "display_label": "Identity, fraud, income or asset verification connections",
      "frequency": {
        "count": 8,
        "base": 150,
        "rate": 5.3,
        "lower": 2.7,
        "upper": 10.2
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|1",
        "loan-origination-software|q9|ChatGPT|2",
        "loan-origination-software|q9|ChatGPT|3",
        "loan-origination-software|q9|Google AI Mode|2",
        "loan-origination-software|q9|Google AI Overviews|1",
        "loan-origination-software|q9|Google AI Overviews|2",
        "loan-origination-software|q9|Google AI Overviews|3",
        "loan-origination-software|q9|Perplexity|3"
      ],
      "evidence_ids": [
        "79ae08e7421396d651aa",
        "fbb6de489b61fb773c01",
        "d470a289f5ff5903866b",
        "a064a09d31b5664a3c52",
        "a3803f090a67fa03e767",
        "e20994ccfecc824f57bd",
        "01965509aaaa6ce177fc",
        "fab1fc4f031e3ef45e6d",
        "162f869b968b988db2cd"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            2
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.backbase.com/blog/loan-origination-software",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "no source shown",
          "answer_count": 7,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|1",
            "loan-origination-software|q9|ChatGPT|2",
            "loan-origination-software|q9|ChatGPT|3",
            "loan-origination-software|q9|Google AI Mode|2",
            "loan-origination-software|q9|Google AI Overviews|1",
            "loan-origination-software|q9|Google AI Overviews|2",
            "loan-origination-software|q9|Google AI Overviews|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "multi_channel",
      "canonical": "Digital and assisted origination channels",
      "display_label": "Digital and assisted origination channels",
      "frequency": {
        "count": 7,
        "base": 150,
        "rate": 4.7,
        "lower": 2.3,
        "upper": 9.3
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|1",
        "loan-origination-software|q9|ChatGPT|2",
        "loan-origination-software|q9|ChatGPT|3",
        "loan-origination-software|q9|Claude|2",
        "loan-origination-software|q9|Google AI Overviews|3",
        "loan-origination-software|q9|Perplexity|2",
        "loan-origination-software|q9|Perplexity|3"
      ],
      "evidence_ids": [
        "730d650ba5cc4f78b290",
        "902e3e3edb6dd774aa9e",
        "b6ec676a3e5677f7d9ab",
        "65277045a453892ab01d",
        "afc2a4415afd4232cd99",
        "39eb080f475f52db2a2b",
        "4101c144991118c7ce42"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            2
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 2,
          "runs": [
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|2",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.backbase.com/blog/loan-origination-software",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|2"
          ]
        },
        {
          "source": "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|2",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.novactech.com/blog/loan-origination-systems-complete-guide",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "no source shown",
          "answer_count": 5,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|1",
            "loan-origination-software|q9|ChatGPT|2",
            "loan-origination-software|q9|ChatGPT|3",
            "loan-origination-software|q9|Claude|2",
            "loan-origination-software|q9|Google AI Overviews|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "usable",
      "canonical": "Ease of use for borrowers and lending staff",
      "display_label": "Ease of use for borrowers and lending staff",
      "frequency": {
        "count": 7,
        "base": 150,
        "rate": 4.7,
        "lower": 2.3,
        "upper": 9.3
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|1",
        "loan-origination-software|q9|ChatGPT|2",
        "loan-origination-software|q9|ChatGPT|3",
        "loan-origination-software|q9|Claude|1",
        "loan-origination-software|q9|Claude|2",
        "loan-origination-software|q9|Claude|3",
        "loan-origination-software|q9|Perplexity|2"
      ],
      "evidence_ids": [
        "b32a6ac925e74c4a63b4",
        "b5216d49031e62a36807",
        "6f22789aeb25c61fe727",
        "0716ee42a41b4bb2a699",
        "6833d974a864952f9e64",
        "cfbee180c63845b5439e",
        "bb4ab4765f102abcb3f7"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            2
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|2"
          ]
        },
        {
          "source": "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|2"
          ]
        },
        {
          "source": "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|2"
          ]
        },
        {
          "source": "https://www.novactech.com/blog/loan-origination-systems-complete-guide",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|2"
          ]
        },
        {
          "source": "no source shown",
          "answer_count": 6,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|1",
            "loan-origination-software|q9|ChatGPT|2",
            "loan-origination-software|q9|ChatGPT|3",
            "loan-origination-software|q9|Claude|1",
            "loan-origination-software|q9|Claude|2",
            "loan-origination-software|q9|Claude|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "funding_general",
      "canonical": "Loan funding workflows",
      "display_label": "Loan funding workflows",
      "frequency": {
        "count": 7,
        "base": 150,
        "rate": 4.7,
        "lower": 2.3,
        "upper": 9.3
      },
      "record_ids": [
        "loan-origination-software|q10|Claude|1",
        "loan-origination-software|q10|Claude|2",
        "loan-origination-software|q10|Claude|3",
        "loan-origination-software|q9|ChatGPT|1",
        "loan-origination-software|q9|ChatGPT|2",
        "loan-origination-software|q9|ChatGPT|3",
        "loan-origination-software|q9|Perplexity|3"
      ],
      "evidence_ids": [
        "f745fea58d09d732dad5",
        "945f65e3ca2f804f1f5b",
        "383ec68c420028f74ab0",
        "0128a55456727b8fdd19",
        "9f0d1272b3fa9636de47",
        "447510c2174efcc83d12",
        "a2e9b0dedd0f624bf964"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.backbase.com/blog/loan-origination-software",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.loanpro.io/platform/origination-suite/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "no source shown",
          "answer_count": 6,
          "record_ids": [
            "loan-origination-software|q10|Claude|1",
            "loan-origination-software|q10|Claude|2",
            "loan-origination-software|q10|Claude|3",
            "loan-origination-software|q9|ChatGPT|1",
            "loan-origination-software|q9|ChatGPT|2",
            "loan-origination-software|q9|ChatGPT|3"
          ]
        }
      ],
      "adjacent_vendors": [
        {
          "vendor": "Abrigo",
          "frequency": {
            "count": 1,
            "base": 150,
            "rate": 0.7,
            "lower": 0.1,
            "upper": 3.7
          },
          "record_ids": [
            "loan-origination-software|q10|Claude|3"
          ],
          "evidence_ids": [
            "0f5ea6b5760674af73b0"
          ],
          "source_counts": [
            {
              "source": "no source shown",
              "answer_count": 1,
              "record_ids": [
                "loan-origination-software|q10|Claude|3"
              ],
              "frequency": {
                "count": 1,
                "base": 150,
                "rate": 0.7,
                "lower": 0.1,
                "upper": 3.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": false,
          "category_median_count": 0,
          "category_median_base": 150,
          "category_median_rate": 0.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        },
        {
          "vendor": "Finastra",
          "frequency": {
            "count": 1,
            "base": 150,
            "rate": 0.7,
            "lower": 0.1,
            "upper": 3.7
          },
          "record_ids": [
            "loan-origination-software|q10|Claude|3"
          ],
          "evidence_ids": [
            "5f1ac2ac3988fa0b5a7e"
          ],
          "source_counts": [
            {
              "source": "no source shown",
              "answer_count": 1,
              "record_ids": [
                "loan-origination-software|q10|Claude|3"
              ],
              "frequency": {
                "count": 1,
                "base": 150,
                "rate": 0.7,
                "lower": 0.1,
                "upper": 3.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": false,
          "category_median_count": 0,
          "category_median_base": 150,
          "category_median_rate": 0.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        },
        {
          "vendor": "HES LoanBox",
          "frequency": {
            "count": 1,
            "base": 150,
            "rate": 0.7,
            "lower": 0.1,
            "upper": 3.7
          },
          "record_ids": [
            "loan-origination-software|q10|Claude|3"
          ],
          "evidence_ids": [
            "bea8f209a53f4edd4c7f"
          ],
          "source_counts": [
            {
              "source": "no source shown",
              "answer_count": 1,
              "record_ids": [
                "loan-origination-software|q10|Claude|3"
              ],
              "frequency": {
                "count": 1,
                "base": 150,
                "rate": 0.7,
                "lower": 0.1,
                "upper": 3.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": false,
          "category_median_count": 0,
          "category_median_base": 150,
          "category_median_rate": 0.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        },
        {
          "vendor": "LendFoundry",
          "frequency": {
            "count": 1,
            "base": 150,
            "rate": 0.7,
            "lower": 0.1,
            "upper": 3.7
          },
          "record_ids": [
            "loan-origination-software|q10|Claude|3"
          ],
          "evidence_ids": [
            "ede233bc614830ba3b5c"
          ],
          "source_counts": [
            {
              "source": "no source shown",
              "answer_count": 1,
              "record_ids": [
                "loan-origination-software|q10|Claude|3"
              ],
              "frequency": {
                "count": 1,
                "base": 150,
                "rate": 0.7,
                "lower": 0.1,
                "upper": 3.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": false,
          "category_median_count": 0,
          "category_median_base": 150,
          "category_median_rate": 0.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        },
        {
          "vendor": "Onyx IQ",
          "frequency": {
            "count": 2,
            "base": 150,
            "rate": 1.3,
            "lower": 0.4,
            "upper": 4.7
          },
          "record_ids": [
            "loan-origination-software|q10|Claude|1",
            "loan-origination-software|q10|Claude|2"
          ],
          "evidence_ids": [
            "1dfc661531ae9b49c4ea",
            "cc6f63648178599b2728"
          ],
          "source_counts": [
            {
              "source": "no source shown",
              "answer_count": 2,
              "record_ids": [
                "loan-origination-software|q10|Claude|1",
                "loan-origination-software|q10|Claude|2"
              ],
              "frequency": {
                "count": 2,
                "base": 150,
                "rate": 1.3,
                "lower": 0.4,
                "upper": 4.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": true,
          "category_median_count": 0,
          "category_median_base": 150,
          "category_median_rate": 0.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        },
        {
          "vendor": "nCino",
          "frequency": {
            "count": 1,
            "base": 150,
            "rate": 0.7,
            "lower": 0.1,
            "upper": 3.7
          },
          "record_ids": [
            "loan-origination-software|q10|Claude|3"
          ],
          "evidence_ids": [
            "19f042b3f2238f6584fe"
          ],
          "source_counts": [
            {
              "source": "no source shown",
              "answer_count": 1,
              "record_ids": [
                "loan-origination-software|q10|Claude|3"
              ],
              "frequency": {
                "count": 1,
                "base": 150,
                "rate": 0.7,
                "lower": 0.1,
                "upper": 3.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": false,
          "category_median_count": 0,
          "category_median_base": 150,
          "category_median_rate": 0.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        }
      ],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "decision_rules",
      "canonical": "Rules-based decisioning",
      "display_label": "Rules based decisioning",
      "frequency": {
        "count": 7,
        "base": 150,
        "rate": 4.7,
        "lower": 2.3,
        "upper": 9.3
      },
      "record_ids": [
        "loan-origination-software|q9|Claude|1",
        "loan-origination-software|q9|Claude|2",
        "loan-origination-software|q9|Claude|3",
        "loan-origination-software|q9|Google AI Mode|1",
        "loan-origination-software|q9|Google AI Mode|3",
        "loan-origination-software|q9|Google AI Overviews|2",
        "loan-origination-software|q9|Google AI Overviews|3"
      ],
      "evidence_ids": [
        "4744568aa8446f59634d",
        "4a232bce5be2ee5790f7",
        "7e5a232237386001dbd8",
        "195f43471d0fed66433e",
        "449de174e22f46100279",
        "210ba3615d2c9b149cee",
        "31c1459e12f4e67fbe4e"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 2,
          "runs": [
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 2,
          "runs": [
            1,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 7,
          "record_ids": [
            "loan-origination-software|q9|Claude|1",
            "loan-origination-software|q9|Claude|2",
            "loan-origination-software|q9|Claude|3",
            "loan-origination-software|q9|Google AI Mode|1",
            "loan-origination-software|q9|Google AI Mode|3",
            "loan-origination-software|q9|Google AI Overviews|2",
            "loan-origination-software|q9|Google AI Overviews|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "integrate",
      "canonical": "Working core banking, bureau and business system connections",
      "display_label": "Working core banking, bureau and business system connections",
      "frequency": {
        "count": 7,
        "base": 150,
        "rate": 4.7,
        "lower": 2.3,
        "upper": 9.3
      },
      "record_ids": [
        "loan-origination-software|q9|Claude|1",
        "loan-origination-software|q9|Claude|2",
        "loan-origination-software|q9|Claude|3",
        "loan-origination-software|q9|Google AI Mode|1",
        "loan-origination-software|q9|Google AI Mode|3",
        "loan-origination-software|q9|Perplexity|1",
        "loan-origination-software|q9|Perplexity|2"
      ],
      "evidence_ids": [
        "88d85fe13e03de08a617",
        "2d3e75421f945fa95dd4",
        "4942fdb37fa2c1ff5c4e",
        "36c1d8bab503795ebd73",
        "6e983038e0dc73e79e40",
        "fb628f79b6ffb7057c1d",
        "e6cbc4ed7958fd5fce85"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 2,
          "runs": [
            1,
            2
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 2,
          "runs": [
            1,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|2"
          ]
        },
        {
          "source": "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|2"
          ]
        },
        {
          "source": "https://www.backbase.com/blog/loan-origination-software",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|2"
          ]
        },
        {
          "source": "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|2"
          ]
        },
        {
          "source": "https://www.vergentlms.com/servicing-vs-origination-loan-software/",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|2"
          ]
        },
        {
          "source": "no source shown",
          "answer_count": 5,
          "record_ids": [
            "loan-origination-software|q9|Claude|1",
            "loan-origination-software|q9|Claude|2",
            "loan-origination-software|q9|Claude|3",
            "loan-origination-software|q9|Google AI Mode|1",
            "loan-origination-software|q9|Google AI Mode|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "system_config",
      "canonical": "Configurable system functionality",
      "display_label": "Configurable system functionality",
      "frequency": {
        "count": 6,
        "base": 150,
        "rate": 4.0,
        "lower": 1.8,
        "upper": 8.5
      },
      "record_ids": [
        "loan-origination-software|q10|Google AI Mode|3",
        "loan-origination-software|q10|Google AI Overviews|3",
        "loan-origination-software|q9|Claude|1",
        "loan-origination-software|q9|Claude|2",
        "loan-origination-software|q9|Claude|3",
        "loan-origination-software|q9|Perplexity|1"
      ],
      "evidence_ids": [
        "8dd9e31e1eafd62d0f97",
        "48595ff235ceda3c4e06",
        "62edb7eaabf20f7b1644",
        "564e584ddae929741a76",
        "9abaef02046bc22f2428",
        "1f73f30111277d50c956",
        "b09a262a9a92df1b5a75"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            1
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 1,
          "runs": [
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 1,
          "runs": [
            3
          ],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1"
          ]
        },
        {
          "source": "https://www.novactech.com/blog/loan-origination-systems-complete-guide",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1"
          ]
        },
        {
          "source": "no source shown",
          "answer_count": 5,
          "record_ids": [
            "loan-origination-software|q10|Google AI Mode|3",
            "loan-origination-software|q10|Google AI Overviews|3",
            "loan-origination-software|q9|Claude|1",
            "loan-origination-software|q9|Claude|2",
            "loan-origination-software|q9|Claude|3"
          ]
        }
      ],
      "adjacent_vendors": [
        {
          "vendor": "Cync Software",
          "frequency": {
            "count": 1,
            "base": 150,
            "rate": 0.7,
            "lower": 0.1,
            "upper": 3.7
          },
          "record_ids": [
            "loan-origination-software|q10|Google AI Mode|3"
          ],
          "evidence_ids": [
            "0e737a661085eae67fec"
          ],
          "source_counts": [
            {
              "source": "no source shown",
              "answer_count": 1,
              "record_ids": [
                "loan-origination-software|q10|Google AI Mode|3"
              ],
              "frequency": {
                "count": 1,
                "base": 150,
                "rate": 0.7,
                "lower": 0.1,
                "upper": 3.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": false,
          "category_median_count": 0,
          "category_median_base": 150,
          "category_median_rate": 0.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        },
        {
          "vendor": "LoanPro",
          "frequency": {
            "count": 2,
            "base": 150,
            "rate": 1.3,
            "lower": 0.4,
            "upper": 4.7
          },
          "record_ids": [
            "loan-origination-software|q10|Google AI Mode|3",
            "loan-origination-software|q10|Google AI Overviews|3"
          ],
          "evidence_ids": [
            "edff7daaea1fbe96fab5",
            "83e73f6f9426264e1c75"
          ],
          "source_counts": [
            {
              "source": "no source shown",
              "answer_count": 2,
              "record_ids": [
                "loan-origination-software|q10|Google AI Mode|3",
                "loan-origination-software|q10|Google AI Overviews|3"
              ],
              "frequency": {
                "count": 2,
                "base": 150,
                "rate": 1.3,
                "lower": 0.4,
                "upper": 4.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": true,
          "category_median_count": 0,
          "category_median_base": 150,
          "category_median_rate": 0.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        },
        {
          "vendor": "Vergent LMS",
          "frequency": {
            "count": 1,
            "base": 150,
            "rate": 0.7,
            "lower": 0.1,
            "upper": 3.7
          },
          "record_ids": [
            "loan-origination-software|q10|Google AI Overviews|3"
          ],
          "evidence_ids": [
            "189961d62effdde3ff8e"
          ],
          "source_counts": [
            {
              "source": "no source shown",
              "answer_count": 1,
              "record_ids": [
                "loan-origination-software|q10|Google AI Overviews|3"
              ],
              "frequency": {
                "count": 1,
                "base": 150,
                "rate": 0.7,
                "lower": 0.1,
                "upper": 3.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": false,
          "category_median_count": 0,
          "category_median_base": 150,
          "category_median_rate": 0.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        }
      ],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "architecture",
      "canonical": "Deployment architecture suited to IT and data requirements",
      "display_label": "Deployment architecture suited to IT and data requirements",
      "frequency": {
        "count": 6,
        "base": 150,
        "rate": 4.0,
        "lower": 1.8,
        "upper": 8.5
      },
      "record_ids": [
        "loan-origination-software|q9|Claude|1",
        "loan-origination-software|q9|Claude|2",
        "loan-origination-software|q9|Claude|3",
        "loan-origination-software|q9|Perplexity|1",
        "loan-origination-software|q9|Perplexity|2",
        "loan-origination-software|q9|Perplexity|3"
      ],
      "evidence_ids": [
        "ed28d7c1e93b06a07c56",
        "545699cc94fdeba752ff",
        "3c3d2844ee6ddffa9093",
        "e6dbfde2dbd929a44701",
        "22d268a47eb30ca8c0ff",
        "d3eea4069021b5bf33fe"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|2",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.backbase.com/blog/loan-origination-software",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|2",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.biz2x.com/loan-origination-software/5-must-have-features-for-a-loan-origination-system-in-2025/",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|2",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "no source shown",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|Claude|1",
            "loan-origination-software|q9|Claude|2",
            "loan-origination-software|q9|Claude|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "borrower_usable",
      "canonical": "Ease of use for borrowers",
      "display_label": "Ease of use for borrowers",
      "frequency": {
        "count": 6,
        "base": 150,
        "rate": 4.0,
        "lower": 1.8,
        "upper": 8.5
      },
      "record_ids": [
        "loan-origination-software|q9|Google AI Mode|1",
        "loan-origination-software|q9|Google AI Mode|2",
        "loan-origination-software|q9|Google AI Mode|3",
        "loan-origination-software|q9|Google AI Overviews|2",
        "loan-origination-software|q9|Google AI Overviews|3",
        "loan-origination-software|q9|Perplexity|3"
      ],
      "evidence_ids": [
        "25344e140bc8801e02fc",
        "8f1c07dee88a39178b15",
        "49dc1bda3c2de600d0f8",
        "02a0e69cd591df3008d9",
        "fd897a7fd0f21016d16b",
        "fc69df920f9cc91d4eab"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 2,
          "runs": [
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.novactech.com/blog/loan-origination-systems-complete-guide",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "no source shown",
          "answer_count": 5,
          "record_ids": [
            "loan-origination-software|q9|Google AI Mode|1",
            "loan-origination-software|q9|Google AI Mode|2",
            "loan-origination-software|q9|Google AI Mode|3",
            "loan-origination-software|q9|Google AI Overviews|2",
            "loan-origination-software|q9|Google AI Overviews|3"
          ]
        }
      ],
      "adjacent_vendors": [
        {
          "vendor": "Blend",
          "frequency": {
            "count": 1,
            "base": 150,
            "rate": 0.7,
            "lower": 0.1,
            "upper": 3.7
          },
          "record_ids": [
            "loan-origination-software|q9|Google AI Mode|3"
          ],
          "evidence_ids": [
            "3711173d00a34a63a675"
          ],
          "source_counts": [
            {
              "source": "no source shown",
              "answer_count": 1,
              "record_ids": [
                "loan-origination-software|q9|Google AI Mode|3"
              ],
              "frequency": {
                "count": 1,
                "base": 150,
                "rate": 0.7,
                "lower": 0.1,
                "upper": 3.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": false,
          "category_median_count": 0,
          "category_median_base": 150,
          "category_median_rate": 0.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        }
      ],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "staff_usable",
      "canonical": "Ease of use for lending staff",
      "display_label": "Ease of use for lending staff",
      "frequency": {
        "count": 6,
        "base": 150,
        "rate": 4.0,
        "lower": 1.8,
        "upper": 8.5
      },
      "record_ids": [
        "loan-origination-software|q9|Google AI Mode|1",
        "loan-origination-software|q9|Google AI Mode|2",
        "loan-origination-software|q9|Google AI Mode|3",
        "loan-origination-software|q9|Google AI Overviews|2",
        "loan-origination-software|q9|Google AI Overviews|3",
        "loan-origination-software|q9|Perplexity|1"
      ],
      "evidence_ids": [
        "22a1ac4c89133e8a9f20",
        "92d5812d36c95522a85b",
        "1fbdc51d69edcf568b9e",
        "86ccd32fbe22a4ff1d42",
        "07a6b27fe1a167a50e8b",
        "60dae4c9cd1e66966e3d"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            1
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 2,
          "runs": [
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1"
          ]
        },
        {
          "source": "https://www.novactech.com/blog/loan-origination-systems-complete-guide",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1"
          ]
        },
        {
          "source": "no source shown",
          "answer_count": 5,
          "record_ids": [
            "loan-origination-software|q9|Google AI Mode|1",
            "loan-origination-software|q9|Google AI Mode|2",
            "loan-origination-software|q9|Google AI Mode|3",
            "loan-origination-software|q9|Google AI Overviews|2",
            "loan-origination-software|q9|Google AI Overviews|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "reg_updates",
      "canonical": "Ongoing regulatory updates",
      "display_label": "Ongoing regulatory updates",
      "frequency": {
        "count": 6,
        "base": 150,
        "rate": 4.0,
        "lower": 1.8,
        "upper": 8.5
      },
      "record_ids": [
        "loan-origination-software|q9|Google AI Mode|1",
        "loan-origination-software|q9|Google AI Mode|2",
        "loan-origination-software|q9|Google AI Mode|3",
        "loan-origination-software|q9|Google AI Overviews|2",
        "loan-origination-software|q9|Google AI Overviews|3",
        "loan-origination-software|q9|Perplexity|2"
      ],
      "evidence_ids": [
        "4d874ead4c27e09e52b0",
        "0841f206f580425ec01a",
        "a94597ed65c1eca15c57",
        "8971fb53f13b87419669",
        "635294aace033eeaa316",
        "f9434fb9882f4c1ede54"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            2
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 2,
          "runs": [
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|2"
          ]
        },
        {
          "source": "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|2"
          ]
        },
        {
          "source": "https://www.backbase.com/blog/loan-origination-software",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|2"
          ]
        },
        {
          "source": "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|2"
          ]
        },
        {
          "source": "https://www.mortgageautomator.com/resources/what-is-a-loan-origination-system-los-and-do-you-need-one",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|2"
          ]
        },
        {
          "source": "https://www.vergentlms.com/servicing-vs-origination-loan-software/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|2"
          ]
        },
        {
          "source": "no source shown",
          "answer_count": 5,
          "record_ids": [
            "loan-origination-software|q9|Google AI Mode|1",
            "loan-origination-software|q9|Google AI Mode|2",
            "loan-origination-software|q9|Google AI Mode|3",
            "loan-origination-software|q9|Google AI Overviews|2",
            "loan-origination-software|q9|Google AI Overviews|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "performance",
      "canonical": "Performance under peak lending volumes",
      "display_label": "Performance under peak lending volumes",
      "frequency": {
        "count": 6,
        "base": 150,
        "rate": 4.0,
        "lower": 1.8,
        "upper": 8.5
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|1",
        "loan-origination-software|q9|Claude|1",
        "loan-origination-software|q9|Claude|2",
        "loan-origination-software|q9|Google AI Mode|1",
        "loan-origination-software|q9|Google AI Mode|2",
        "loan-origination-software|q9|Google AI Mode|3"
      ],
      "evidence_ids": [
        "a2511dbe07d273d83691",
        "7e47621c4e27c4352a85",
        "99546770e9596156c03b",
        "2a57e1e5d5fcd951f789",
        "8482da91f70386a9cade",
        "c8c0720513d7dca26b52"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            1
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 2,
          "runs": [
            1,
            2
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 6,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|1",
            "loan-origination-software|q9|Claude|1",
            "loan-origination-software|q9|Claude|2",
            "loan-origination-software|q9|Google AI Mode|1",
            "loan-origination-software|q9|Google AI Mode|2",
            "loan-origination-software|q9|Google AI Mode|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "security_general",
      "canonical": "Protection of sensitive borrower data",
      "display_label": "Protection of sensitive borrower data",
      "frequency": {
        "count": 6,
        "base": 150,
        "rate": 4.0,
        "lower": 1.8,
        "upper": 8.5
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|1",
        "loan-origination-software|q9|Google AI Mode|1",
        "loan-origination-software|q9|Google AI Overviews|3",
        "loan-origination-software|q9|Perplexity|1",
        "loan-origination-software|q9|Perplexity|2",
        "loan-origination-software|q9|Perplexity|3"
      ],
      "evidence_ids": [
        "b47180b8ad4d012a04f2",
        "deecfedd7a8b39d05c16",
        "f032d882851d1e543045",
        "f461a8eb8b713e9c1c27",
        "bd4f105f906f4d2c5e80",
        "2e764f16ceeeda5c75c0"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            1
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            1
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|2",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.mortgageautomator.com/resources/what-is-a-loan-origination-system-los-and-do-you-need-one",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1"
          ]
        },
        {
          "source": "no source shown",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|1",
            "loan-origination-software|q9|Google AI Mode|1",
            "loan-origination-software|q9|Google AI Overviews|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "task_routing",
      "canonical": "Task routing",
      "display_label": "Task routing",
      "frequency": {
        "count": 6,
        "base": 150,
        "rate": 4.0,
        "lower": 1.8,
        "upper": 8.5
      },
      "record_ids": [
        "loan-origination-software|q9|Google AI Mode|2",
        "loan-origination-software|q9|Google AI Overviews|2",
        "loan-origination-software|q9|Google AI Overviews|3",
        "loan-origination-software|q9|Perplexity|1",
        "loan-origination-software|q9|Perplexity|2",
        "loan-origination-software|q9|Perplexity|3"
      ],
      "evidence_ids": [
        "88344232d45ea8f83a63",
        "79c2e61db59f4be07c6d",
        "2fdf9ed81273f7709c4c",
        "131c5a115da69aaf2072",
        "04e980d5cb071ad6bd64",
        "b30fafb48da75b74ead9",
        "ec2bd385799606ad16ac"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 2,
          "runs": [
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            2
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|2",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|2",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|2",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.ranosys.com/blog/insights/how-can-financial-institutions-optimize-their-loan-origination-systems/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1"
          ]
        },
        {
          "source": "https://www.vergentlms.com/servicing-vs-origination-loan-software/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "no source shown",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|Google AI Mode|2",
            "loan-origination-software|q9|Google AI Overviews|2",
            "loan-origination-software|q9|Google AI Overviews|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "integrationproof",
      "canonical": "Tested working integrations",
      "display_label": "Tested working integrations",
      "frequency": {
        "count": 6,
        "base": 150,
        "rate": 4.0,
        "lower": 1.8,
        "upper": 8.5
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|1",
        "loan-origination-software|q9|ChatGPT|2",
        "loan-origination-software|q9|ChatGPT|3",
        "loan-origination-software|q9|Claude|1",
        "loan-origination-software|q9|Claude|2",
        "loan-origination-software|q9|Claude|3"
      ],
      "evidence_ids": [
        "7add4af3e80b62af0184",
        "e0279eb304483be502c9",
        "e353ba727ca726a9ab77",
        "1bb3a9daaea529a4f14f",
        "d5a07a2f2b4b27c51d6e",
        "377fc2ddddbd4e7a526f",
        "ea0026b608eeae61adc1",
        "4314361193e5ed2bd9d2",
        "fb81d50a5094013a88a5",
        "529b3ceb8bd23f8fcdae",
        "b8839f3f875cf5043079",
        "6773484f356eadd6343a",
        "97d00f1d420187556210",
        "e15fd2b720701d196a61"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 6,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|1",
            "loan-origination-software|q9|ChatGPT|2",
            "loan-origination-software|q9|ChatGPT|3",
            "loan-origination-software|q9|Claude|1",
            "loan-origination-software|q9|Claude|2",
            "loan-origination-software|q9|Claude|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "mobile_apply",
      "canonical": "Mobile borrower applications and onboarding",
      "display_label": "Mobile borrower applications and onboarding",
      "frequency": {
        "count": 5,
        "base": 150,
        "rate": 3.3,
        "lower": 1.4,
        "upper": 7.6
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|1",
        "loan-origination-software|q9|ChatGPT|2",
        "loan-origination-software|q9|ChatGPT|3",
        "loan-origination-software|q9|Google AI Overviews|1",
        "loan-origination-software|q9|Perplexity|3"
      ],
      "evidence_ids": [
        "03e1e8bfd48eb4fdd891",
        "df4c6aba8d40af1841d8",
        "5667809bd7e7d9ff4347",
        "26f53a161e2eda1161b8",
        "533877d592d8d09dfefa"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            1
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.novactech.com/blog/loan-origination-systems-complete-guide",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "no source shown",
          "answer_count": 4,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|1",
            "loan-origination-software|q9|ChatGPT|2",
            "loan-origination-software|q9|ChatGPT|3",
            "loan-origination-software|q9|Google AI Overviews|1"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "notices",
      "canonical": "Required disclosures, notices and deadline tracking",
      "display_label": "Required disclosures, notices and deadline tracking",
      "frequency": {
        "count": 5,
        "base": 150,
        "rate": 3.3,
        "lower": 1.4,
        "upper": 7.6
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|1",
        "loan-origination-software|q9|ChatGPT|3",
        "loan-origination-software|q9|Claude|1",
        "loan-origination-software|q9|Claude|2",
        "loan-origination-software|q9|Claude|3"
      ],
      "evidence_ids": [
        "7b9e9235394940b6ab1a",
        "afc695ce7d2f7aa89dc7",
        "6d0da720ca11bd58277b",
        "e07289d3faf6fee8fd11",
        "d276589ac8774d7ab223"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 2,
          "runs": [
            1,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 5,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|1",
            "loan-origination-software|q9|ChatGPT|3",
            "loan-origination-software|q9|Claude|1",
            "loan-origination-software|q9|Claude|2",
            "loan-origination-software|q9|Claude|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "disclosures",
      "canonical": "Required lending disclosures and notices",
      "display_label": "Required lending disclosures and notices",
      "frequency": {
        "count": 5,
        "base": 150,
        "rate": 3.3,
        "lower": 1.4,
        "upper": 7.6
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|2",
        "loan-origination-software|q9|Google AI Overviews|2",
        "loan-origination-software|q9|Perplexity|1",
        "loan-origination-software|q9|Perplexity|2",
        "loan-origination-software|q9|Perplexity|3"
      ],
      "evidence_ids": [
        "073e7670ee715de1e06d",
        "a6e62e84688d735c8f08",
        "b2306c81c89044b04791",
        "ac19a7bd11ca4bd7655b",
        "e389ea098cfb278607cf"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            2
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            2
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|2",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|2",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.backbase.com/blog/loan-origination-software",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|2",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1"
          ]
        },
        {
          "source": "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|2",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.mortgageautomator.com/resources/what-is-a-loan-origination-system-los-and-do-you-need-one",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|2",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.vergentlms.com/servicing-vs-origination-loan-software/",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|2",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "no source shown",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|2",
            "loan-origination-software|q9|Google AI Overviews|2"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "permissions",
      "canonical": "Role-based access restrictions",
      "display_label": "Role based access restrictions",
      "frequency": {
        "count": 5,
        "base": 150,
        "rate": 3.3,
        "lower": 1.4,
        "upper": 7.6
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|1",
        "loan-origination-software|q9|Google AI Mode|1",
        "loan-origination-software|q9|Perplexity|1",
        "loan-origination-software|q9|Perplexity|2",
        "loan-origination-software|q9|Perplexity|3"
      ],
      "evidence_ids": [
        "399aea66b68bb7820ba0",
        "dfc273d09af9874fb982",
        "92dd052fcfd88714af13",
        "5a92ce7a59d81ca78358",
        "c0f88e942b2a37313afe"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            1
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            1
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "https://www.ftc.gov/business-guidance/resources/ftc-safeguards-rule-what-your-business-needs-know",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|1"
          ]
        },
        {
          "source": "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|2",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.mortgageautomator.com/resources/what-is-a-loan-origination-system-los-and-do-you-need-one",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1"
          ]
        },
        {
          "source": "no source shown",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Google AI Mode|1"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "complex_structures",
      "canonical": "Support for required complex loan structures",
      "display_label": "Support for required complex loan structures",
      "frequency": {
        "count": 5,
        "base": 150,
        "rate": 3.3,
        "lower": 1.4,
        "upper": 7.6
      },
      "record_ids": [
        "loan-origination-software|q10|Claude|3",
        "loan-origination-software|q10|Google AI Mode|2",
        "loan-origination-software|q10|Google AI Overviews|1",
        "loan-origination-software|q9|Perplexity|2",
        "loan-origination-software|q9|Perplexity|3"
      ],
      "evidence_ids": [
        "f26a5acb5b9a697ade11",
        "d4942dc5a77e6e7c3dee",
        "0bde7c6b857b85da3217",
        "308b41091b5d50244f0c",
        "2f7e98e9388708fa8b1a"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 1,
          "runs": [
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 2,
          "runs": [
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 1,
          "runs": [
            1
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 1,
          "runs": [
            2
          ],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|2",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.backbase.com/blog/loan-origination-software",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|2",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|2"
          ]
        },
        {
          "source": "no source shown",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q10|Claude|3",
            "loan-origination-software|q10|Google AI Mode|2",
            "loan-origination-software|q10|Google AI Overviews|1"
          ]
        }
      ],
      "adjacent_vendors": [
        {
          "vendor": "Finastra",
          "frequency": {
            "count": 1,
            "base": 150,
            "rate": 0.7,
            "lower": 0.1,
            "upper": 3.7
          },
          "record_ids": [
            "loan-origination-software|q10|Claude|3"
          ],
          "evidence_ids": [
            "b72d2597e52b858e1556"
          ],
          "source_counts": [
            {
              "source": "no source shown",
              "answer_count": 1,
              "record_ids": [
                "loan-origination-software|q10|Claude|3"
              ],
              "frequency": {
                "count": 1,
                "base": 150,
                "rate": 0.7,
                "lower": 0.1,
                "upper": 3.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": false,
          "category_median_count": 0,
          "category_median_base": 150,
          "category_median_rate": 0.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        },
        {
          "vendor": "LoanPro",
          "frequency": {
            "count": 1,
            "base": 150,
            "rate": 0.7,
            "lower": 0.1,
            "upper": 3.7
          },
          "record_ids": [
            "loan-origination-software|q10|Google AI Overviews|1"
          ],
          "evidence_ids": [
            "3c03c797803e95125bcc"
          ],
          "source_counts": [
            {
              "source": "no source shown",
              "answer_count": 1,
              "record_ids": [
                "loan-origination-software|q10|Google AI Overviews|1"
              ],
              "frequency": {
                "count": 1,
                "base": 150,
                "rate": 0.7,
                "lower": 0.1,
                "upper": 3.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": false,
          "category_median_count": 0,
          "category_median_base": 150,
          "category_median_rate": 0.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        },
        {
          "vendor": "Nortridge",
          "frequency": {
            "count": 1,
            "base": 150,
            "rate": 0.7,
            "lower": 0.1,
            "upper": 3.7
          },
          "record_ids": [
            "loan-origination-software|q10|Google AI Mode|2"
          ],
          "evidence_ids": [
            "d9e22f5c74b575c1a7ea"
          ],
          "source_counts": [
            {
              "source": "no source shown",
              "answer_count": 1,
              "record_ids": [
                "loan-origination-software|q10|Google AI Mode|2"
              ],
              "frequency": {
                "count": 1,
                "base": 150,
                "rate": 0.7,
                "lower": 0.1,
                "upper": 3.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": false,
          "category_median_count": 0,
          "category_median_base": 150,
          "category_median_rate": 0.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        }
      ],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "api_general",
      "canonical": "Supported APIs",
      "display_label": "Supported APIs",
      "frequency": {
        "count": 5,
        "base": 150,
        "rate": 3.3,
        "lower": 1.4,
        "upper": 7.6
      },
      "record_ids": [
        "loan-origination-software|q10|Google AI Overviews|1",
        "loan-origination-software|q9|Google AI Mode|3",
        "loan-origination-software|q9|Google AI Overviews|3",
        "loan-origination-software|q9|Perplexity|1",
        "loan-origination-software|q9|Perplexity|3"
      ],
      "evidence_ids": [
        "787a17d581af1c455548",
        "1cae91285dc00d1cb3a4",
        "2960d95e081f31287094",
        "739f50270c719d843c8b",
        "4c0c6556476c6fc5bc52"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 2,
          "runs": [
            1,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 1,
          "runs": [
            1
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.backbase.com/blog/loan-origination-software",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.vergentlms.com/servicing-vs-origination-loan-software/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1"
          ]
        },
        {
          "source": "no source shown",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q10|Google AI Overviews|1",
            "loan-origination-software|q9|Google AI Mode|3",
            "loan-origination-software|q9|Google AI Overviews|3"
          ]
        }
      ],
      "adjacent_vendors": [
        {
          "vendor": "LoanPro",
          "frequency": {
            "count": 1,
            "base": 150,
            "rate": 0.7,
            "lower": 0.1,
            "upper": 3.7
          },
          "record_ids": [
            "loan-origination-software|q10|Google AI Overviews|1"
          ],
          "evidence_ids": [
            "39ee636be3035c61baed"
          ],
          "source_counts": [
            {
              "source": "no source shown",
              "answer_count": 1,
              "record_ids": [
                "loan-origination-software|q10|Google AI Overviews|1"
              ],
              "frequency": {
                "count": 1,
                "base": 150,
                "rate": 0.7,
                "lower": 0.1,
                "upper": 3.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": false,
          "category_median_count": 0,
          "category_median_base": 150,
          "category_median_rate": 0.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        }
      ],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "api_connectors",
      "canonical": "APIs and prebuilt connectors",
      "display_label": "APIs and prebuilt connectors",
      "frequency": {
        "count": 4,
        "base": 150,
        "rate": 2.7,
        "lower": 1.0,
        "upper": 6.7
      },
      "record_ids": [
        "loan-origination-software|q9|Claude|1",
        "loan-origination-software|q9|Claude|2",
        "loan-origination-software|q9|Claude|3",
        "loan-origination-software|q9|Google AI Mode|2"
      ],
      "evidence_ids": [
        "9dfec10992e924e322f0",
        "b232dbe743c8bc74ed54",
        "c3c5c7302b601fe9100e",
        "8f546f5e09bdbeeef7f3"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            2
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 4,
          "record_ids": [
            "loan-origination-software|q9|Claude|1",
            "loan-origination-software|q9|Claude|2",
            "loan-origination-software|q9|Claude|3",
            "loan-origination-software|q9|Google AI Mode|2"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "data_verification",
      "canonical": "Application data verification",
      "display_label": "Application data verification",
      "frequency": {
        "count": 4,
        "base": 150,
        "rate": 2.7,
        "lower": 1.0,
        "upper": 6.7
      },
      "record_ids": [
        "loan-origination-software|q9|Google AI Mode|1",
        "loan-origination-software|q9|Perplexity|1",
        "loan-origination-software|q9|Perplexity|2",
        "loan-origination-software|q9|Perplexity|3"
      ],
      "evidence_ids": [
        "4e14372678383582837a",
        "6f3d83a4b1884fc90cef",
        "f7933178365a2b8bf23e",
        "36199c77cb026d121ff2"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            1
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|2",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|2",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|2",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|2",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.ranosys.com/blog/insights/how-can-financial-institutions-optimize-their-loan-origination-systems/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1"
          ]
        },
        {
          "source": "https://www.vergentlms.com/servicing-vs-origination-loan-software/",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|2",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "no source shown",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Google AI Mode|1"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "portal",
      "canonical": "Borrower digital portal",
      "display_label": "Borrower digital portal",
      "frequency": {
        "count": 4,
        "base": 150,
        "rate": 2.7,
        "lower": 1.0,
        "upper": 6.7
      },
      "record_ids": [
        "loan-origination-software|q9|Google AI Mode|1",
        "loan-origination-software|q9|Google AI Mode|2",
        "loan-origination-software|q9|Google AI Mode|3",
        "loan-origination-software|q9|Google AI Overviews|3"
      ],
      "evidence_ids": [
        "f146ba15f3a9bd9f1e06",
        "32dc0ff6466691b8f326",
        "05c7069e34fae0f0a4f4",
        "eee16bf2f9b39be79ef3"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 4,
          "record_ids": [
            "loan-origination-software|q9|Google AI Mode|1",
            "loan-origination-software|q9|Google AI Mode|2",
            "loan-origination-software|q9|Google AI Mode|3",
            "loan-origination-software|q9|Google AI Overviews|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "upload",
      "canonical": "Borrower document upload",
      "display_label": "Borrower document upload",
      "frequency": {
        "count": 4,
        "base": 150,
        "rate": 2.7,
        "lower": 1.0,
        "upper": 6.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|1",
        "loan-origination-software|q9|ChatGPT|2",
        "loan-origination-software|q9|ChatGPT|3",
        "loan-origination-software|q9|Perplexity|1"
      ],
      "evidence_ids": [
        "efaa508d19c60255dc1e",
        "38d68e6c1aab6646ba34",
        "9e0ebdec136be355e069",
        "25cea5caadd7db4659dd"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            1
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1"
          ]
        },
        {
          "source": "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1"
          ]
        },
        {
          "source": "https://www.backbase.com/blog/loan-origination-software",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1"
          ]
        },
        {
          "source": "https://www.investglass.com/loan-origination-system-a-complete-guide-for-modern-lenders/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1"
          ]
        },
        {
          "source": "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1"
          ]
        },
        {
          "source": "https://www.mortgageautomator.com/resources/what-is-a-loan-origination-system-los-and-do-you-need-one",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1"
          ]
        },
        {
          "source": "no source shown",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|1",
            "loan-origination-software|q9|ChatGPT|2",
            "loan-origination-software|q9|ChatGPT|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "funding",
      "canonical": "Closing and funding workflows",
      "display_label": "Closing and funding workflows",
      "frequency": {
        "count": 4,
        "base": 150,
        "rate": 2.7,
        "lower": 1.0,
        "upper": 6.7
      },
      "record_ids": [
        "loan-origination-software|q10|Claude|1",
        "loan-origination-software|q10|Claude|2",
        "loan-origination-software|q9|ChatGPT|1",
        "loan-origination-software|q9|ChatGPT|3"
      ],
      "evidence_ids": [
        "b38f399b6e886b35bee9",
        "15154beea67b60d96e0d",
        "3067ca0437a17f2a5c9b",
        "bca696886d9b2a34c031"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 2,
          "runs": [
            1,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 2,
          "runs": [
            1,
            2
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 4,
          "record_ids": [
            "loan-origination-software|q10|Claude|1",
            "loan-origination-software|q10|Claude|2",
            "loan-origination-software|q9|ChatGPT|1",
            "loan-origination-software|q9|ChatGPT|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "collateral",
      "canonical": "Collateral management",
      "display_label": "Collateral management",
      "frequency": {
        "count": 4,
        "base": 150,
        "rate": 2.7,
        "lower": 1.0,
        "upper": 6.7
      },
      "record_ids": [
        "loan-origination-software|q10|Google AI Overviews|1",
        "loan-origination-software|q9|ChatGPT|1",
        "loan-origination-software|q9|ChatGPT|2",
        "loan-origination-software|q9|ChatGPT|3"
      ],
      "evidence_ids": [
        "ac45d2e2d2d58268abb8",
        "4de870e10861c89ba64f",
        "945f6a25df9c19a0bf07",
        "e8b45966e5e74c99b9ab"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 1,
          "runs": [
            1
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 4,
          "record_ids": [
            "loan-origination-software|q10|Google AI Overviews|1",
            "loan-origination-software|q9|ChatGPT|1",
            "loan-origination-software|q9|ChatGPT|2",
            "loan-origination-software|q9|ChatGPT|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "credit_config",
      "canonical": "Configurable credit policies and decision rules",
      "display_label": "Configurable credit policies and decision rules",
      "frequency": {
        "count": 4,
        "base": 150,
        "rate": 2.7,
        "lower": 1.0,
        "upper": 6.7
      },
      "record_ids": [
        "loan-origination-software|q10|Claude|3",
        "loan-origination-software|q10|Google AI Overviews|1",
        "loan-origination-software|q9|ChatGPT|2",
        "loan-origination-software|q9|Perplexity|1"
      ],
      "evidence_ids": [
        "994537aca2f100d340ca",
        "f8c6deb49e8ba0a54a50",
        "5870b36b393272325577",
        "c21ce4991e575f071108"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            2
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 1,
          "runs": [
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            1
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 1,
          "runs": [
            1
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1"
          ]
        },
        {
          "source": "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1"
          ]
        },
        {
          "source": "https://www.vergentlms.com/servicing-vs-origination-loan-software/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1"
          ]
        },
        {
          "source": "https://www.zeitro.com/blog/key-features-of-loan-origination-system-how-it-helps-lenders-and-loan-officers-close-more-loans-efficiently",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1"
          ]
        },
        {
          "source": "no source shown",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q10|Claude|3",
            "loan-origination-software|q10|Google AI Overviews|1",
            "loan-origination-software|q9|ChatGPT|2"
          ]
        }
      ],
      "adjacent_vendors": [
        {
          "vendor": "HES LoanBox",
          "frequency": {
            "count": 2,
            "base": 150,
            "rate": 1.3,
            "lower": 0.4,
            "upper": 4.7
          },
          "record_ids": [
            "loan-origination-software|q10|Claude|3",
            "loan-origination-software|q10|Google AI Overviews|1"
          ],
          "evidence_ids": [
            "1bb710a317b9f008a48f",
            "3d121a6521a5ea51a111"
          ],
          "source_counts": [
            {
              "source": "no source shown",
              "answer_count": 2,
              "record_ids": [
                "loan-origination-software|q10|Claude|3",
                "loan-origination-software|q10|Google AI Overviews|1"
              ],
              "frequency": {
                "count": 2,
                "base": 150,
                "rate": 1.3,
                "lower": 0.4,
                "upper": 4.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": true,
          "category_median_count": 0,
          "category_median_base": 150,
          "category_median_rate": 0.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        },
        {
          "vendor": "LoanPro",
          "frequency": {
            "count": 1,
            "base": 150,
            "rate": 0.7,
            "lower": 0.1,
            "upper": 3.7
          },
          "record_ids": [
            "loan-origination-software|q10|Google AI Overviews|1"
          ],
          "evidence_ids": [
            "b133526dce25e7280b7b"
          ],
          "source_counts": [
            {
              "source": "no source shown",
              "answer_count": 1,
              "record_ids": [
                "loan-origination-software|q10|Google AI Overviews|1"
              ],
              "frequency": {
                "count": 1,
                "base": 150,
                "rate": 0.7,
                "lower": 0.1,
                "upper": 3.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": false,
          "category_median_count": 0,
          "category_median_base": 150,
          "category_median_rate": 0.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        }
      ],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "business_connections",
      "canonical": "Connections with business tools such as CRM and documents",
      "display_label": "Connections with business tools such as CRM and documents",
      "frequency": {
        "count": 4,
        "base": 150,
        "rate": 2.7,
        "lower": 1.0,
        "upper": 6.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|1",
        "loan-origination-software|q9|ChatGPT|2",
        "loan-origination-software|q9|ChatGPT|3",
        "loan-origination-software|q9|Perplexity|3"
      ],
      "evidence_ids": [
        "be27d1187809e670f2dd",
        "f2ce7100409d9dd11ba7",
        "c35d7c938d175b7dadf4",
        "631ef41981a060bcfba4",
        "d67e4cbfa4b5911f4732",
        "ea8af386de7ab9a23ea1"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.backbase.com/blog/loan-origination-software",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "no source shown",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|1",
            "loan-origination-software|q9|ChatGPT|2",
            "loan-origination-software|q9|ChatGPT|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "ease_general",
      "canonical": "Ease of use",
      "display_label": "Ease of use",
      "frequency": {
        "count": 4,
        "base": 150,
        "rate": 2.7,
        "lower": 1.0,
        "upper": 6.7
      },
      "record_ids": [
        "loan-origination-software|q9|Google AI Mode|3",
        "loan-origination-software|q9|Google AI Overviews|2",
        "loan-origination-software|q9|Perplexity|1",
        "loan-origination-software|q9|Perplexity|3"
      ],
      "evidence_ids": [
        "860a085469103a2aafae",
        "bfa3ce5e66414e084e4c",
        "c82653be26ab3b54575f",
        "ae0a77cc5ddc46f87a2c"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 2,
          "runs": [
            1,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            2
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.backbase.com/blog/loan-origination-software",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1"
          ]
        },
        {
          "source": "https://www.loanpro.io/platform/origination-suite/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "no source shown",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|Google AI Mode|3",
            "loan-origination-software|q9|Google AI Overviews|2"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "onboarding_help",
      "canonical": "Implementation and onboarding assistance",
      "display_label": "Implementation and onboarding assistance",
      "frequency": {
        "count": 4,
        "base": 150,
        "rate": 2.7,
        "lower": 1.0,
        "upper": 6.7
      },
      "record_ids": [
        "loan-origination-software|q9|Claude|1",
        "loan-origination-software|q9|Claude|2",
        "loan-origination-software|q9|Claude|3",
        "loan-origination-software|q9|Google AI Mode|2"
      ],
      "evidence_ids": [
        "47d8266ee9729c6e50bf",
        "0731f01fd30bf5a6371d",
        "4901041c0dacd6b44a29",
        "3a9a79863068274eab5d"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            2
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 4,
          "record_ids": [
            "loan-origination-software|q9|Claude|1",
            "loan-origination-software|q9|Claude|2",
            "loan-origination-software|q9|Claude|3",
            "loan-origination-software|q9|Google AI Mode|2"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "integration_cost",
      "canonical": "Integration costs",
      "display_label": "Integration costs",
      "frequency": {
        "count": 4,
        "base": 150,
        "rate": 2.7,
        "lower": 1.0,
        "upper": 6.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|1",
        "loan-origination-software|q9|ChatGPT|2",
        "loan-origination-software|q9|ChatGPT|3",
        "loan-origination-software|q9|Google AI Overviews|1"
      ],
      "evidence_ids": [
        "b0621c5a6d83165e641f",
        "b522fb30fd6096926bbb",
        "81a3d059bcdaf514bbdf",
        "552a9763a2fe0df58d30"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            1
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "https://www.fdic.gov/news/financial-institution-letters/2024/third-party-risk-management-guide-community-banks?utm_source=openai",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|3"
          ]
        },
        {
          "source": "no source shown",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|1",
            "loan-origination-software|q9|ChatGPT|2",
            "loan-origination-software|q9|Google AI Overviews|1"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "closing_general",
      "canonical": "Loan closing workflows",
      "display_label": "Loan closing workflows",
      "frequency": {
        "count": 4,
        "base": 150,
        "rate": 2.7,
        "lower": 1.0,
        "upper": 6.7
      },
      "record_ids": [
        "loan-origination-software|q10|Claude|1",
        "loan-origination-software|q10|Claude|2",
        "loan-origination-software|q9|ChatGPT|1",
        "loan-origination-software|q9|ChatGPT|3"
      ],
      "evidence_ids": [
        "330b0ab0b3c623b44161",
        "bd63a93ade24294ba6c4",
        "a7e1a76dcd1539bedad5",
        "27a0a7116c4374b15588"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 2,
          "runs": [
            1,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 2,
          "runs": [
            1,
            2
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 4,
          "record_ids": [
            "loan-origination-software|q10|Claude|1",
            "loan-origination-software|q10|Claude|2",
            "loan-origination-software|q9|ChatGPT|1",
            "loan-origination-software|q9|ChatGPT|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "exception_handling",
      "canonical": "Manual review and exception handling",
      "display_label": "Manual review and exception handling",
      "frequency": {
        "count": 4,
        "base": 150,
        "rate": 2.7,
        "lower": 1.0,
        "upper": 6.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|1",
        "loan-origination-software|q9|ChatGPT|2",
        "loan-origination-software|q9|ChatGPT|3",
        "loan-origination-software|q9|Perplexity|2"
      ],
      "evidence_ids": [
        "abaee2a229ec2689c2db",
        "52b3dd84d0ec8005947f",
        "e143227e350b52c36654",
        "b8606885307ea7337256",
        "de21f8c7e2ce5a05b893",
        "b9e7d9aa613741f718ac",
        "1d6c47119a0ec6208b3a",
        "3d45290b6f9b596fce63"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            2
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|2"
          ]
        },
        {
          "source": "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|2"
          ]
        },
        {
          "source": "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|2"
          ]
        },
        {
          "source": "no source shown",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|1",
            "loan-origination-software|q9|ChatGPT|2",
            "loan-origination-software|q9|ChatGPT|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "pricing_units",
      "canonical": "Pricing by users, portfolio volume and fees",
      "display_label": "Pricing by users, portfolio volume and fees",
      "frequency": {
        "count": 4,
        "base": 150,
        "rate": 2.7,
        "lower": 1.0,
        "upper": 6.7
      },
      "record_ids": [
        "loan-origination-software|q9|Claude|1",
        "loan-origination-software|q9|Claude|2",
        "loan-origination-software|q9|Claude|3",
        "loan-origination-software|q9|Google AI Overviews|1"
      ],
      "evidence_ids": [
        "a63005e3434c4deed668",
        "8a7fc87c0d66afdd24cb",
        "3433775e97aff7d6c53a",
        "fa77eb5857a0503ffee4"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            1
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 4,
          "record_ids": [
            "loan-origination-software|q9|Claude|1",
            "loan-origination-software|q9|Claude|2",
            "loan-origination-software|q9|Claude|3",
            "loan-origination-software|q9|Google AI Overviews|1"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "vendor_experience",
      "canonical": "Relevant lending experience and track record",
      "display_label": "Relevant lending experience and track record",
      "frequency": {
        "count": 4,
        "base": 150,
        "rate": 2.7,
        "lower": 1.0,
        "upper": 6.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|3",
        "loan-origination-software|q9|Claude|1",
        "loan-origination-software|q9|Claude|2",
        "loan-origination-software|q9|Claude|3"
      ],
      "evidence_ids": [
        "b3f8cdc5fdd61a3b3f73",
        "3e0332f9a86f89833a19",
        "0a5ce0fe5ed47452a46a",
        "9aac23cc19a87b0bb273",
        "4b781acdf2e58844f348"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "https://www.fdic.gov/sites/default/files/2024-03/pr21075a.pdf?utm_source=openai",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|3"
          ]
        },
        {
          "source": "no source shown",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|Claude|1",
            "loan-origination-software|q9|Claude|2",
            "loan-origination-software|q9|Claude|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "train",
      "canonical": "Staff training",
      "display_label": "Staff training",
      "frequency": {
        "count": 4,
        "base": 150,
        "rate": 2.7,
        "lower": 1.0,
        "upper": 6.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|1",
        "loan-origination-software|q9|ChatGPT|2",
        "loan-origination-software|q9|ChatGPT|3",
        "loan-origination-software|q9|Perplexity|3"
      ],
      "evidence_ids": [
        "fb998221b7c4ee34f181",
        "89493b13817289b8b337",
        "5dd874efbd9ae0464f53",
        "33110cb74e6a801f504e"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "https://www.backbase.com/blog/loan-origination-software",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.biz2x.com/loan-origination-software/5-must-have-features-for-a-loan-origination-system-in-2025/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "no source shown",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|1",
            "loan-origination-software|q9|ChatGPT|2",
            "loan-origination-software|q9|ChatGPT|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "loan_types",
      "canonical": "Support for multiple loan types",
      "display_label": "Support for multiple loan types",
      "frequency": {
        "count": 4,
        "base": 150,
        "rate": 2.7,
        "lower": 1.0,
        "upper": 6.7
      },
      "record_ids": [
        "loan-origination-software|q10|Claude|2",
        "loan-origination-software|q1|Google AI Overviews|3",
        "loan-origination-software|q2|Google AI Overviews|1",
        "loan-origination-software|q9|Perplexity|1"
      ],
      "evidence_ids": [
        "54d5258e7a53c7f46037",
        "9aff879342667e9abaae",
        "ac34bf2b9135674498e9",
        "2ac319864ff836dd1908"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 1,
          "runs": [
            2
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            1
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 1,
          "runs": [
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 1,
          "runs": [
            1
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1"
          ]
        },
        {
          "source": "https://www.backbase.com/blog/loan-origination-software",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1"
          ]
        },
        {
          "source": "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1"
          ]
        },
        {
          "source": "no source shown",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q10|Claude|2",
            "loan-origination-software|q1|Google AI Overviews|3",
            "loan-origination-software|q2|Google AI Overviews|1"
          ]
        }
      ],
      "adjacent_vendors": [
        {
          "vendor": "Fuse",
          "frequency": {
            "count": 1,
            "base": 150,
            "rate": 0.7,
            "lower": 0.1,
            "upper": 3.7
          },
          "record_ids": [
            "loan-origination-software|q2|Google AI Overviews|1"
          ],
          "evidence_ids": [
            "1ceb642ba30db2b6a58f"
          ],
          "source_counts": [
            {
              "source": "no source shown",
              "answer_count": 1,
              "record_ids": [
                "loan-origination-software|q2|Google AI Overviews|1"
              ],
              "frequency": {
                "count": 1,
                "base": 150,
                "rate": 0.7,
                "lower": 0.1,
                "upper": 3.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": false,
          "category_median_count": 0,
          "category_median_base": 150,
          "category_median_rate": 0.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        },
        {
          "vendor": "HES LoanBox",
          "frequency": {
            "count": 1,
            "base": 150,
            "rate": 0.7,
            "lower": 0.1,
            "upper": 3.7
          },
          "record_ids": [
            "loan-origination-software|q10|Claude|2"
          ],
          "evidence_ids": [
            "8bd5f6ccabbcb370ad68"
          ],
          "source_counts": [
            {
              "source": "no source shown",
              "answer_count": 1,
              "record_ids": [
                "loan-origination-software|q10|Claude|2"
              ],
              "frequency": {
                "count": 1,
                "base": 150,
                "rate": 0.7,
                "lower": 0.1,
                "upper": 3.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": false,
          "category_median_count": 0,
          "category_median_base": 150,
          "category_median_rate": 0.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        },
        {
          "vendor": "MeridianLink",
          "frequency": {
            "count": 2,
            "base": 150,
            "rate": 1.3,
            "lower": 0.4,
            "upper": 4.7
          },
          "record_ids": [
            "loan-origination-software|q1|Google AI Overviews|3",
            "loan-origination-software|q2|Google AI Overviews|1"
          ],
          "evidence_ids": [
            "c4817e72550370f5efc7",
            "b23c8a245737ae0fd3a0"
          ],
          "source_counts": [
            {
              "source": "no source shown",
              "answer_count": 2,
              "record_ids": [
                "loan-origination-software|q1|Google AI Overviews|3",
                "loan-origination-software|q2|Google AI Overviews|1"
              ],
              "frequency": {
                "count": 2,
                "base": 150,
                "rate": 1.3,
                "lower": 0.4,
                "upper": 4.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": true,
          "category_median_count": 0,
          "category_median_base": 150,
          "category_median_rate": 0.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        },
        {
          "vendor": "Newgen",
          "frequency": {
            "count": 1,
            "base": 150,
            "rate": 0.7,
            "lower": 0.1,
            "upper": 3.7
          },
          "record_ids": [
            "loan-origination-software|q10|Claude|2"
          ],
          "evidence_ids": [
            "b3fd5802d2091e83a55b"
          ],
          "source_counts": [
            {
              "source": "no source shown",
              "answer_count": 1,
              "record_ids": [
                "loan-origination-software|q10|Claude|2"
              ],
              "frequency": {
                "count": 1,
                "base": 150,
                "rate": 0.7,
                "lower": 0.1,
                "upper": 3.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": false,
          "category_median_count": 0,
          "category_median_base": 150,
          "category_median_rate": 0.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        },
        {
          "vendor": "Nortridge",
          "frequency": {
            "count": 1,
            "base": 150,
            "rate": 0.7,
            "lower": 0.1,
            "upper": 3.7
          },
          "record_ids": [
            "loan-origination-software|q10|Claude|2"
          ],
          "evidence_ids": [
            "7a52c416e98589c36046"
          ],
          "source_counts": [
            {
              "source": "no source shown",
              "answer_count": 1,
              "record_ids": [
                "loan-origination-software|q10|Claude|2"
              ],
              "frequency": {
                "count": 1,
                "base": 150,
                "rate": 0.7,
                "lower": 0.1,
                "upper": 3.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": false,
          "category_median_count": 0,
          "category_median_base": 150,
          "category_median_rate": 0.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        },
        {
          "vendor": "Onyx IQ",
          "frequency": {
            "count": 1,
            "base": 150,
            "rate": 0.7,
            "lower": 0.1,
            "upper": 3.7
          },
          "record_ids": [
            "loan-origination-software|q10|Claude|2"
          ],
          "evidence_ids": [
            "ec4afe31d9f7fbfa217b"
          ],
          "source_counts": [
            {
              "source": "no source shown",
              "answer_count": 1,
              "record_ids": [
                "loan-origination-software|q10|Claude|2"
              ],
              "frequency": {
                "count": 1,
                "base": 150,
                "rate": 0.7,
                "lower": 0.1,
                "upper": 3.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": false,
          "category_median_count": 0,
          "category_median_base": 150,
          "category_median_rate": 0.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        },
        {
          "vendor": "nCino",
          "frequency": {
            "count": 2,
            "base": 150,
            "rate": 1.3,
            "lower": 0.4,
            "upper": 4.7
          },
          "record_ids": [
            "loan-origination-software|q10|Claude|2",
            "loan-origination-software|q2|Google AI Overviews|1"
          ],
          "evidence_ids": [
            "b7aa6ef2fb72f107bd5b",
            "854e9a7a067e22be82bb"
          ],
          "source_counts": [
            {
              "source": "no source shown",
              "answer_count": 2,
              "record_ids": [
                "loan-origination-software|q10|Claude|2",
                "loan-origination-software|q2|Google AI Overviews|1"
              ],
              "frequency": {
                "count": 2,
                "base": 150,
                "rate": 1.3,
                "lower": 0.4,
                "upper": 4.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": true,
          "category_median_count": 0,
          "category_median_base": 150,
          "category_median_rate": 0.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        }
      ],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "vendor_viability",
      "canonical": "Vendor viability and resilience",
      "display_label": "Vendor viability and resilience",
      "frequency": {
        "count": 4,
        "base": 150,
        "rate": 2.7,
        "lower": 1.0,
        "upper": 6.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|1",
        "loan-origination-software|q9|ChatGPT|3",
        "loan-origination-software|q9|Claude|2",
        "loan-origination-software|q9|Claude|3"
      ],
      "evidence_ids": [
        "10419a515cd43cd9f1a9",
        "ceedb4ad0b986709ed99",
        "64eeedb5c004d8bc469e",
        "6d3e9d3feca85c5288b5"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 2,
          "runs": [
            1,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 2,
          "runs": [
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "https://www.fdic.gov/sites/default/files/2024-03/pr21075a.pdf?utm_source=openai",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|1",
            "loan-origination-software|q9|ChatGPT|3"
          ]
        },
        {
          "source": "no source shown",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|Claude|2",
            "loan-origination-software|q9|Claude|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "exception_alerts",
      "canonical": "Alerts for policy and compliance exceptions",
      "display_label": "Alerts for policy and compliance exceptions",
      "frequency": {
        "count": 3,
        "base": 150,
        "rate": 2.0,
        "lower": 0.7,
        "upper": 5.7
      },
      "record_ids": [
        "loan-origination-software|q9|Claude|1",
        "loan-origination-software|q9|Claude|2",
        "loan-origination-software|q9|Claude|3"
      ],
      "evidence_ids": [
        "edf836051d0bb5c05760",
        "d1158d0b6c2bd7aba139",
        "6cff88eaeeec127004c4"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|Claude|1",
            "loan-origination-software|q9|Claude|2",
            "loan-origination-software|q9|Claude|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "autorules",
      "canonical": "Automated credit decision rules and scoring",
      "display_label": "Automated credit decision rules and scoring",
      "frequency": {
        "count": 3,
        "base": 150,
        "rate": 2.0,
        "lower": 0.7,
        "upper": 5.7
      },
      "record_ids": [
        "loan-origination-software|q9|Google AI Overviews|1",
        "loan-origination-software|q9|Perplexity|1",
        "loan-origination-software|q9|Perplexity|2"
      ],
      "evidence_ids": [
        "b4d892198afbbb5af5ad",
        "555b1c0b124558853d90",
        "515f2af8b0b8219ab65f"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 2,
          "runs": [
            1,
            2
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            1
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|2"
          ]
        },
        {
          "source": "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|2"
          ]
        },
        {
          "source": "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|2"
          ]
        },
        {
          "source": "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|2"
          ]
        },
        {
          "source": "https://www.vergentlms.com/servicing-vs-origination-loan-software/",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|2"
          ]
        },
        {
          "source": "https://www.zeitro.com/blog/key-features-of-loan-origination-system-how-it-helps-lenders-and-loan-officers-close-more-loans-efficiently",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1"
          ]
        },
        {
          "source": "no source shown",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Google AI Overviews|1"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "status",
      "canonical": "Borrower application status visibility",
      "display_label": "Borrower application status visibility",
      "frequency": {
        "count": 3,
        "base": 150,
        "rate": 2.0,
        "lower": 0.7,
        "upper": 5.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|1",
        "loan-origination-software|q9|ChatGPT|2",
        "loan-origination-software|q9|ChatGPT|3"
      ],
      "evidence_ids": [
        "fbd5a9824f7d4eefdf08",
        "097105070c18d238ec53",
        "705ebbc09194ddd0c948"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|1",
            "loan-origination-software|q9|ChatGPT|2",
            "loan-origination-software|q9|ChatGPT|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "origination_complete",
      "canonical": "Complete origination functionality",
      "display_label": "Complete origination functionality",
      "frequency": {
        "count": 3,
        "base": 150,
        "rate": 2.0,
        "lower": 0.7,
        "upper": 5.7
      },
      "record_ids": [
        "loan-origination-software|q9|Claude|1",
        "loan-origination-software|q9|Claude|2",
        "loan-origination-software|q9|Claude|3"
      ],
      "evidence_ids": [
        "c449953ab6ebd92deb77",
        "da632aaf5a661b1dae54",
        "bd4f90e7dbe1a91cd0c3"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|Claude|1",
            "loan-origination-software|q9|Claude|2",
            "loan-origination-software|q9|Claude|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "jurisdiction_config",
      "canonical": "Compliance workflows adapted by product or jurisdiction",
      "display_label": "Compliance workflows adapted by product or jurisdiction",
      "frequency": {
        "count": 3,
        "base": 150,
        "rate": 2.0,
        "lower": 0.7,
        "upper": 5.7
      },
      "record_ids": [
        "loan-origination-software|q9|Claude|1",
        "loan-origination-software|q9|Claude|2",
        "loan-origination-software|q9|Claude|3"
      ],
      "evidence_ids": [
        "aafcad0cba668168e41c",
        "d07614392ae377e886ad",
        "8c738bdb6595f50e6ff5"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|Claude|1",
            "loan-origination-software|q9|Claude|2",
            "loan-origination-software|q9|Claude|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "servicing_connections",
      "canonical": "Connections with loan servicing systems",
      "display_label": "Connections with loan servicing systems",
      "frequency": {
        "count": 3,
        "base": 150,
        "rate": 2.0,
        "lower": 0.7,
        "upper": 5.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|1",
        "loan-origination-software|q9|ChatGPT|2",
        "loan-origination-software|q9|ChatGPT|3"
      ],
      "evidence_ids": [
        "adbefc58fcea8f9068ea",
        "9d56d57ab46d0eac34da",
        "7f9e3c4009e7185dd3d8"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|1",
            "loan-origination-software|q9|ChatGPT|2",
            "loan-origination-software|q9|ChatGPT|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "contract_length",
      "canonical": "Contract duration",
      "display_label": "Contract duration",
      "frequency": {
        "count": 3,
        "base": 150,
        "rate": 2.0,
        "lower": 0.7,
        "upper": 5.7
      },
      "record_ids": [
        "loan-origination-software|q9|Claude|1",
        "loan-origination-software|q9|Claude|2",
        "loan-origination-software|q9|Claude|3"
      ],
      "evidence_ids": [
        "d2de5bae119d9cd744de",
        "2ea13d71cc1c5efc11d4",
        "01926c0e9e5ae4cad022"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|Claude|1",
            "loan-origination-software|q9|Claude|2",
            "loan-origination-software|q9|Claude|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "collaboration",
      "canonical": "Coordination among lending, credit and risk teams",
      "display_label": "Coordination among lending, credit and risk teams",
      "frequency": {
        "count": 3,
        "base": 150,
        "rate": 2.0,
        "lower": 0.7,
        "upper": 5.7
      },
      "record_ids": [
        "loan-origination-software|q9|Claude|1",
        "loan-origination-software|q9|Claude|2",
        "loan-origination-software|q9|Claude|3"
      ],
      "evidence_ids": [
        "057fbd956471f507bc6c",
        "a62f527d7e8070f2adbc",
        "0f558e149f6646211950"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|Claude|1",
            "loan-origination-software|q9|Claude|2",
            "loan-origination-software|q9|Claude|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "core_or_servicing",
      "canonical": "Core banking or loan servicing connections",
      "display_label": "Core banking or loan servicing connections",
      "frequency": {
        "count": 3,
        "base": 150,
        "rate": 2.0,
        "lower": 0.7,
        "upper": 5.7
      },
      "record_ids": [
        "loan-origination-software|q9|Google AI Overviews|1",
        "loan-origination-software|q9|Google AI Overviews|2",
        "loan-origination-software|q9|Perplexity|3"
      ],
      "evidence_ids": [
        "b35fb72a710ef80b545b",
        "61e1dd805a5df59d43f9",
        "c00ecd6c6a7c2fcdc7c5"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 2,
          "runs": [
            1,
            2
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.backbase.com/blog/loan-origination-software",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "no source shown",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|Google AI Overviews|1",
            "loan-origination-software|q9|Google AI Overviews|2"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "affordable",
      "canonical": "Cost appropriate to lending volume and budget",
      "display_label": "Cost appropriate to lending volume and budget",
      "frequency": {
        "count": 3,
        "base": 150,
        "rate": 2.0,
        "lower": 0.7,
        "upper": 5.7
      },
      "record_ids": [
        "loan-origination-software|q3|Claude|1",
        "loan-origination-software|q3|Claude|2",
        "loan-origination-software|q3|Google AI Mode|3"
      ],
      "evidence_ids": [
        "4c44842cbde54a573792",
        "e75475e7e4df623e1920",
        "5eb94817512a36f59893"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 2,
          "runs": [
            1,
            2
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 1,
          "runs": [
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q3|Claude|1",
            "loan-origination-software|q3|Claude|2",
            "loan-origination-software|q3|Google AI Mode|3"
          ]
        }
      ],
      "adjacent_vendors": [
        {
          "vendor": "ARIVE",
          "frequency": {
            "count": 1,
            "base": 150,
            "rate": 0.7,
            "lower": 0.1,
            "upper": 3.7
          },
          "record_ids": [
            "loan-origination-software|q3|Google AI Mode|3"
          ],
          "evidence_ids": [
            "bd1c1505fd9b10aa0458"
          ],
          "source_counts": [
            {
              "source": "no source shown",
              "answer_count": 1,
              "record_ids": [
                "loan-origination-software|q3|Google AI Mode|3"
              ],
              "frequency": {
                "count": 1,
                "base": 150,
                "rate": 0.7,
                "lower": 0.1,
                "upper": 3.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": false,
          "category_median_count": 0,
          "category_median_base": 150,
          "category_median_rate": 0.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        },
        {
          "vendor": "Calyx",
          "frequency": {
            "count": 2,
            "base": 150,
            "rate": 1.3,
            "lower": 0.4,
            "upper": 4.7
          },
          "record_ids": [
            "loan-origination-software|q3|Claude|1",
            "loan-origination-software|q3|Claude|2"
          ],
          "evidence_ids": [
            "d7f23cecffe6ee4ac74e",
            "da50f6ede5803c3857f9"
          ],
          "source_counts": [
            {
              "source": "no source shown",
              "answer_count": 2,
              "record_ids": [
                "loan-origination-software|q3|Claude|1",
                "loan-origination-software|q3|Claude|2"
              ],
              "frequency": {
                "count": 2,
                "base": 150,
                "rate": 1.3,
                "lower": 0.4,
                "upper": 4.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": true,
          "category_median_count": 0,
          "category_median_base": 150,
          "category_median_rate": 0.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        },
        {
          "vendor": "Jupiter",
          "frequency": {
            "count": 2,
            "base": 150,
            "rate": 1.3,
            "lower": 0.4,
            "upper": 4.7
          },
          "record_ids": [
            "loan-origination-software|q3|Claude|1",
            "loan-origination-software|q3|Claude|2"
          ],
          "evidence_ids": [
            "c92f433da6311006991f",
            "0da58b751b0e3567c66e"
          ],
          "source_counts": [
            {
              "source": "no source shown",
              "answer_count": 2,
              "record_ids": [
                "loan-origination-software|q3|Claude|1",
                "loan-origination-software|q3|Claude|2"
              ],
              "frequency": {
                "count": 2,
                "base": 150,
                "rate": 1.3,
                "lower": 0.4,
                "upper": 4.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": true,
          "category_median_count": 0,
          "category_median_base": 150,
          "category_median_rate": 0.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        },
        {
          "vendor": "LendingPad",
          "frequency": {
            "count": 2,
            "base": 150,
            "rate": 1.3,
            "lower": 0.4,
            "upper": 4.7
          },
          "record_ids": [
            "loan-origination-software|q3|Claude|1",
            "loan-origination-software|q3|Claude|2"
          ],
          "evidence_ids": [
            "d4c27f9e7ff5d6642e50",
            "3d870c5c7e3093a510ba"
          ],
          "source_counts": [
            {
              "source": "no source shown",
              "answer_count": 2,
              "record_ids": [
                "loan-origination-software|q3|Claude|1",
                "loan-origination-software|q3|Claude|2"
              ],
              "frequency": {
                "count": 2,
                "base": 150,
                "rate": 1.3,
                "lower": 0.4,
                "upper": 4.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": true,
          "category_median_count": 0,
          "category_median_base": 150,
          "category_median_rate": 0.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        }
      ],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "risk_management",
      "canonical": "Credit risk management",
      "display_label": "Credit risk management",
      "frequency": {
        "count": 3,
        "base": 150,
        "rate": 2.0,
        "lower": 0.7,
        "upper": 5.7
      },
      "record_ids": [
        "loan-origination-software|q9|Claude|1",
        "loan-origination-software|q9|Claude|2",
        "loan-origination-software|q9|Claude|3"
      ],
      "evidence_ids": [
        "b32a2b9d56200a95bb33",
        "5d5e6242a366eb60d4c9",
        "199da3d56148ed5f9372"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|Claude|1",
            "loan-origination-software|q9|Claude|2",
            "loan-origination-software|q9|Claude|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "access_controls",
      "canonical": "Data access restrictions",
      "display_label": "Data access restrictions",
      "frequency": {
        "count": 3,
        "base": 150,
        "rate": 2.0,
        "lower": 0.7,
        "upper": 5.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|1",
        "loan-origination-software|q9|ChatGPT|2",
        "loan-origination-software|q9|ChatGPT|3"
      ],
      "evidence_ids": [
        "dabc549f9bac2126989c",
        "efd4daa09765625432b2",
        "0e98dc4b9fc85145f847"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "https://www.ftc.gov/business-guidance/resources/ftc-safeguards-rule-what-your-business-needs-know",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|2",
            "loan-origination-software|q9|ChatGPT|3"
          ]
        },
        {
          "source": "no source shown",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|1"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "rpo",
      "canonical": "Defined maximum potential data loss",
      "display_label": "Defined maximum potential data loss",
      "frequency": {
        "count": 3,
        "base": 150,
        "rate": 2.0,
        "lower": 0.7,
        "upper": 5.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|1",
        "loan-origination-software|q9|ChatGPT|2",
        "loan-origination-software|q9|ChatGPT|3"
      ],
      "evidence_ids": [
        "7266e4eb581e4b6264e4",
        "327a1c1cba0c7e88bf30",
        "dc40db8fbaf7b374e54a"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|1",
            "loan-origination-software|q9|ChatGPT|2",
            "loan-origination-software|q9|ChatGPT|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "integrationowner",
      "canonical": "Defined ownership, cost and maintenance of integrations",
      "display_label": "Defined ownership, cost and maintenance of integrations",
      "frequency": {
        "count": 3,
        "base": 150,
        "rate": 2.0,
        "lower": 0.7,
        "upper": 5.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|1",
        "loan-origination-software|q9|ChatGPT|2",
        "loan-origination-software|q9|ChatGPT|3"
      ],
      "evidence_ids": [
        "d5395633d56f78182dbb",
        "a76519ba29a022b92f40",
        "6f6066e4c1808762234a"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "https://www.fdic.gov/news/financial-institution-letters/2024/third-party-risk-management-guide-community-banks?utm_source=openai",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|3"
          ]
        },
        {
          "source": "no source shown",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|1",
            "loan-origination-software|q9|ChatGPT|2"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "rto",
      "canonical": "Defined recovery time objectives",
      "display_label": "Defined recovery time objectives",
      "frequency": {
        "count": 3,
        "base": 150,
        "rate": 2.0,
        "lower": 0.7,
        "upper": 5.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|1",
        "loan-origination-software|q9|ChatGPT|2",
        "loan-origination-software|q9|ChatGPT|3"
      ],
      "evidence_ids": [
        "c4ae5831cbb117f730fb",
        "c1629c8328c782f6a9d6",
        "2b173643c1916a080691"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|1",
            "loan-origination-software|q9|ChatGPT|2",
            "loan-origination-software|q9|ChatGPT|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "proof",
      "canonical": "Demonstrated performance using representative loan scenarios",
      "display_label": "Demonstrated performance using representative loan scenarios",
      "frequency": {
        "count": 3,
        "base": 150,
        "rate": 2.0,
        "lower": 0.7,
        "upper": 5.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|1",
        "loan-origination-software|q9|ChatGPT|2",
        "loan-origination-software|q9|ChatGPT|3"
      ],
      "evidence_ids": [
        "40b9540fda2de6cf9548",
        "28f1b5ff03df6fe0fa23",
        "f62216c5e854fe9de33d",
        "57043eb8aaa36a30e45b",
        "554bb93925ace4c0af6d",
        "7d19bee59f891e216cfa",
        "da3e52803986db819525",
        "64740eeb35d0644f4f90",
        "136a904c4d74cf89f3d6",
        "d27c851ab8fe8236ec0f",
        "6f174372e5d4a815d9d7",
        "3f0c9e6719da624b47df",
        "e9334ce4dd2d48f50ba9",
        "69fcf8b8c770abfb6b9a",
        "bb71425442da0c4d0a45",
        "078407d20fa9882b704b",
        "f96ae0fa93cdbc5b9537",
        "759dd07d6af3388804ce",
        "8ad6153edb04fdd88024",
        "c07fa316a3c161a61bf0",
        "5094372d624f8e15415f",
        "7100274ccb415f8be963",
        "440dd7867937f4dbd5d0",
        "ade6f893bdb1b42b40a6",
        "9d6f5bfb20fb04ffb92b",
        "762b0f6a65694210a84a",
        "85054ed976785fce875b",
        "f6d94e94b3731af2a543",
        "f9ca049c3dfad675320f",
        "be180b83e16296606a89",
        "3bee416c0fbef53db13b",
        "f6c1b0d4eded6af51357",
        "9441c422f85174bdda9c",
        "8a0068362bf1bc82f6b2",
        "c08bf1cc00b021bf4a71",
        "b9b5f7fbe0772a4a9153",
        "2d7bda24b89f92384ba6",
        "2fc5141be4d0a91c8be3"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "https://www.consumerfinance.gov/rules-policy/regulations/1002/9/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|3"
          ]
        },
        {
          "source": "no source shown",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|1",
            "loan-origination-software|q9|ChatGPT|2"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "document_screening",
      "canonical": "Document screening and verification",
      "display_label": "Document screening and verification",
      "frequency": {
        "count": 3,
        "base": 150,
        "rate": 2.0,
        "lower": 0.7,
        "upper": 5.7
      },
      "record_ids": [
        "loan-origination-software|q9|Perplexity|1",
        "loan-origination-software|q9|Perplexity|2",
        "loan-origination-software|q9|Perplexity|3"
      ],
      "evidence_ids": [
        "0171ebc0cbe312c57105",
        "669025faeaf4df2d4528",
        "58598333eb81ae18180f"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|2",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|2",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|2",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|2",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.ranosys.com/blog/insights/how-can-financial-institutions-optimize-their-loan-origination-systems/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1"
          ]
        },
        {
          "source": "https://www.vergentlms.com/servicing-vs-origination-loan-software/",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|2",
            "loan-origination-software|q9|Perplexity|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "api",
      "canonical": "Documented APIs and supported connectors",
      "display_label": "Documented APIs and supported connectors",
      "frequency": {
        "count": 3,
        "base": 150,
        "rate": 2.0,
        "lower": 0.7,
        "upper": 5.7
      },
      "record_ids": [
        "loan-origination-software|q9|Claude|1",
        "loan-origination-software|q9|Claude|2",
        "loan-origination-software|q9|Claude|3"
      ],
      "evidence_ids": [
        "a9b91f0bab3de98b44b1",
        "b70dbd8579dd1af1365d",
        "8b19a26e1a90afd4b7fa"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|Claude|1",
            "loan-origination-software|q9|Claude|2",
            "loan-origination-software|q9|Claude|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "migration",
      "canonical": "Documented migration plan and acceptance criteria",
      "display_label": "Documented migration plan and acceptance criteria",
      "frequency": {
        "count": 3,
        "base": 150,
        "rate": 2.0,
        "lower": 0.7,
        "upper": 5.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|1",
        "loan-origination-software|q9|ChatGPT|2",
        "loan-origination-software|q9|ChatGPT|3"
      ],
      "evidence_ids": [
        "d17f32e1adfd47fd5ad8",
        "020e6b8aabc75ce951cf",
        "d5b541dab8195aa1e5ba"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|1",
            "loan-origination-software|q9|ChatGPT|2",
            "loan-origination-software|q9|ChatGPT|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "esign",
      "canonical": "Electronic signature support",
      "display_label": "Electronic signature support",
      "frequency": {
        "count": 3,
        "base": 150,
        "rate": 2.0,
        "lower": 0.7,
        "upper": 5.7
      },
      "record_ids": [
        "loan-origination-software|q9|Perplexity|1",
        "loan-origination-software|q9|Perplexity|2",
        "loan-origination-software|q9|Perplexity|3"
      ],
      "evidence_ids": [
        "873e3f97fcdeb00141fe",
        "a33abef71327b6d134d9",
        "ac80d3defab39b402907"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|2",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|2",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.backbase.com/blog/loan-origination-software",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|2"
          ]
        },
        {
          "source": "https://www.investglass.com/loan-origination-system-a-complete-guide-for-modern-lenders/",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|2",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.mortgageautomator.com/resources/what-is-a-loan-origination-system-los-and-do-you-need-one",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|2",
            "loan-origination-software|q9|Perplexity|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "incident_notification",
      "canonical": "Incident notification commitments",
      "display_label": "Incident notification commitments",
      "frequency": {
        "count": 3,
        "base": 150,
        "rate": 2.0,
        "lower": 0.7,
        "upper": 5.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|1",
        "loan-origination-software|q9|ChatGPT|2",
        "loan-origination-software|q9|ChatGPT|3"
      ],
      "evidence_ids": [
        "950898c523960deba306",
        "09d35e99d00c9f05bada",
        "8609b6d262263958f23a"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|1",
            "loan-origination-software|q9|ChatGPT|2",
            "loan-origination-software|q9|ChatGPT|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "incident_response",
      "canonical": "Incident response procedures",
      "display_label": "Incident response procedures",
      "frequency": {
        "count": 3,
        "base": 150,
        "rate": 2.0,
        "lower": 0.7,
        "upper": 5.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|1",
        "loan-origination-software|q9|ChatGPT|2",
        "loan-origination-software|q9|ChatGPT|3"
      ],
      "evidence_ids": [
        "33ca2b41723a0b29b0c0",
        "0b8b427a1bf30386db81",
        "a1ebf8dc78f31ae7b2f0"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "https://www.ftc.gov/business-guidance/resources/ftc-safeguards-rule-what-your-business-needs-know",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|1",
            "loan-origination-software|q9|ChatGPT|2",
            "loan-origination-software|q9|ChatGPT|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "price",
      "canonical": "Included capabilities versus configuration or custom development",
      "display_label": "Included capabilities versus configuration or custom development",
      "frequency": {
        "count": 3,
        "base": 150,
        "rate": 2.0,
        "lower": 0.7,
        "upper": 5.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|1",
        "loan-origination-software|q9|ChatGPT|2",
        "loan-origination-software|q9|ChatGPT|3"
      ],
      "evidence_ids": [
        "8e3084bef86bb6bf27e3",
        "19f1dec5df50d93cb3da",
        "0652d4fd6990fb0390b7"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|1",
            "loan-origination-software|q9|ChatGPT|2",
            "loan-origination-software|q9|ChatGPT|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "report_general",
      "canonical": "Lending reporting and analytics",
      "display_label": "Lending reporting and analytics",
      "frequency": {
        "count": 3,
        "base": 150,
        "rate": 2.0,
        "lower": 0.7,
        "upper": 5.7
      },
      "record_ids": [
        "loan-origination-software|q9|Google AI Mode|1",
        "loan-origination-software|q9|Google AI Overviews|3",
        "loan-origination-software|q9|Perplexity|2"
      ],
      "evidence_ids": [
        "58222373690a6ea3d915",
        "380c804f8206389403cf",
        "805daa2326fbdbe9c3ed"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            2
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            1
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|2"
          ]
        },
        {
          "source": "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|2"
          ]
        },
        {
          "source": "https://www.backbase.com/blog/loan-origination-software",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|2"
          ]
        },
        {
          "source": "no source shown",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|Google AI Mode|1",
            "loan-origination-software|q9|Google AI Overviews|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "approval_steps",
      "canonical": "Loan approval workflows",
      "display_label": "Loan approval workflows",
      "frequency": {
        "count": 3,
        "base": 150,
        "rate": 2.0,
        "lower": 0.7,
        "upper": 5.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|3",
        "loan-origination-software|q9|Perplexity|2",
        "loan-origination-software|q9|Perplexity|3"
      ],
      "evidence_ids": [
        "ba5a9ba7f0a0fca53062",
        "ebc93ab2aff54ae08ebf",
        "ed7483cdb5eadf646365",
        "59807e54c6e4efd41344",
        "76657354c561c515f3b6",
        "c0e9c7804ca9116ecad2"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 2,
          "runs": [
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|2",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|2",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.backbase.com/blog/loan-origination-software",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|2",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|2",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.loanpro.io/platform/origination-suite/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "no source shown",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "document_handling",
      "canonical": "Loan document handling",
      "display_label": "Loan document handling",
      "frequency": {
        "count": 3,
        "base": 150,
        "rate": 2.0,
        "lower": 0.7,
        "upper": 5.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|1",
        "loan-origination-software|q9|ChatGPT|2",
        "loan-origination-software|q9|Perplexity|2"
      ],
      "evidence_ids": [
        "3e7d2d94a4d5c8b364cb",
        "352f5da73f92d1cf1f99",
        "affc6144e7ee427135cc"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 2,
          "runs": [
            1,
            2
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            2
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|2"
          ]
        },
        {
          "source": "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|2"
          ]
        },
        {
          "source": "https://www.backbase.com/blog/loan-origination-software",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|2"
          ]
        },
        {
          "source": "no source shown",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|1",
            "loan-origination-software|q9|ChatGPT|2"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "mfa",
      "canonical": "Multifactor authentication",
      "display_label": "Multifactor authentication",
      "frequency": {
        "count": 3,
        "base": 150,
        "rate": 2.0,
        "lower": 0.7,
        "upper": 5.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|1",
        "loan-origination-software|q9|ChatGPT|2",
        "loan-origination-software|q9|ChatGPT|3"
      ],
      "evidence_ids": [
        "cbd836333e5865ac5065",
        "c6d6b0cca1b5d1d7bb70",
        "6169ad49c0c12b46caf5"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "https://www.ftc.gov/business-guidance/resources/ftc-safeguards-rule-what-your-business-needs-know",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|1",
            "loan-origination-software|q9|ChatGPT|2",
            "loan-origination-software|q9|ChatGPT|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "implementation_owner",
      "canonical": "Named implementation responsibilities",
      "display_label": "Named implementation responsibilities",
      "frequency": {
        "count": 3,
        "base": 150,
        "rate": 2.0,
        "lower": 0.7,
        "upper": 5.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|1",
        "loan-origination-software|q9|ChatGPT|2",
        "loan-origination-software|q9|ChatGPT|3"
      ],
      "evidence_ids": [
        "192969875a932cf1ff3e",
        "abf79dccb0dc0a3c9144",
        "a9086200fafb5d19a367"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|1",
            "loan-origination-software|q9|ChatGPT|2",
            "loan-origination-software|q9|ChatGPT|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "provider_oversight",
      "canonical": "Oversight of service providers",
      "display_label": "Oversight of service providers",
      "frequency": {
        "count": 3,
        "base": 150,
        "rate": 2.0,
        "lower": 0.7,
        "upper": 5.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|1",
        "loan-origination-software|q9|ChatGPT|2",
        "loan-origination-software|q9|ChatGPT|3"
      ],
      "evidence_ids": [
        "74822fc62302973e0844",
        "90426a2ce2f4f0da10f9",
        "cec7cd50e0af36b0054c"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "https://www.ftc.gov/business-guidance/resources/ftc-safeguards-rule-what-your-business-needs-know",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|1",
            "loan-origination-software|q9|ChatGPT|2",
            "loan-origination-software|q9|ChatGPT|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "data_ownership",
      "canonical": "Ownership of lending data",
      "display_label": "Ownership of lending data",
      "frequency": {
        "count": 3,
        "base": 150,
        "rate": 2.0,
        "lower": 0.7,
        "upper": 5.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|1",
        "loan-origination-software|q9|ChatGPT|2",
        "loan-origination-software|q9|ChatGPT|3"
      ],
      "evidence_ids": [
        "16ef266247b5cff67668",
        "9cb0406f2801dfc29cc9",
        "910cda7fefc1a3494191"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "https://www.fdic.gov/news/financial-institution-letters/2023/fil23029.html?utm_source=openai",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|2"
          ]
        },
        {
          "source": "https://www.fdic.gov/news/press-releases/2023/pr23047.html?utm_source=openai",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|1",
            "loan-origination-software|q9|ChatGPT|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "report",
      "canonical": "Pipeline, portfolio and operational reporting",
      "display_label": "Pipeline, portfolio and operational reporting",
      "frequency": {
        "count": 3,
        "base": 150,
        "rate": 2.0,
        "lower": 0.7,
        "upper": 5.7
      },
      "record_ids": [
        "loan-origination-software|q9|Perplexity|1",
        "loan-origination-software|q9|Perplexity|2",
        "loan-origination-software|q9|Perplexity|3"
      ],
      "evidence_ids": [
        "7f35749506bfca9bcc85",
        "4403700bfc9ae3ac2dfb",
        "52760382b6344b3e7826"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "https://bakerhill.com/loan-origination-system-basics",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|2",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|2",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|2",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.mortgageautomator.com/resources/what-is-a-loan-origination-system-los-and-do-you-need-one",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|2",
            "loan-origination-software|q9|Perplexity|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "portfolio_management",
      "canonical": "Post-close loan portfolio management",
      "display_label": "Post close loan portfolio management",
      "frequency": {
        "count": 3,
        "base": 150,
        "rate": 2.0,
        "lower": 0.7,
        "upper": 5.7
      },
      "record_ids": [
        "loan-origination-software|q10|Claude|2",
        "loan-origination-software|q10|Google AI Mode|2",
        "loan-origination-software|q10|Google AI Overviews|3"
      ],
      "evidence_ids": [
        "f7bb7b3edd8bfa28106c",
        "f5ecc2e537915e68e288",
        "6cc299b6ea561ba25259"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 1,
          "runs": [
            2
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 1,
          "runs": [
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 1,
          "runs": [
            2
          ],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q10|Claude|2",
            "loan-origination-software|q10|Google AI Mode|2",
            "loan-origination-software|q10|Google AI Overviews|3"
          ]
        }
      ],
      "adjacent_vendors": [
        {
          "vendor": "Nortridge",
          "frequency": {
            "count": 1,
            "base": 150,
            "rate": 0.7,
            "lower": 0.1,
            "upper": 3.7
          },
          "record_ids": [
            "loan-origination-software|q10|Google AI Mode|2"
          ],
          "evidence_ids": [
            "51e028cc795e80a50033"
          ],
          "source_counts": [
            {
              "source": "no source shown",
              "answer_count": 1,
              "record_ids": [
                "loan-origination-software|q10|Google AI Mode|2"
              ],
              "frequency": {
                "count": 1,
                "base": 150,
                "rate": 0.7,
                "lower": 0.1,
                "upper": 3.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": false,
          "category_median_count": 0,
          "category_median_base": 150,
          "category_median_rate": 0.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        },
        {
          "vendor": "Onyx IQ",
          "frequency": {
            "count": 1,
            "base": 150,
            "rate": 0.7,
            "lower": 0.1,
            "upper": 3.7
          },
          "record_ids": [
            "loan-origination-software|q10|Claude|2"
          ],
          "evidence_ids": [
            "44d56823db353857ac8c"
          ],
          "source_counts": [
            {
              "source": "no source shown",
              "answer_count": 1,
              "record_ids": [
                "loan-origination-software|q10|Claude|2"
              ],
              "frequency": {
                "count": 1,
                "base": 150,
                "rate": 0.7,
                "lower": 0.1,
                "upper": 3.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": false,
          "category_median_count": 0,
          "category_median_base": 150,
          "category_median_rate": 0.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        },
        {
          "vendor": "TurnKey Lender",
          "frequency": {
            "count": 1,
            "base": 150,
            "rate": 0.7,
            "lower": 0.1,
            "upper": 3.7
          },
          "record_ids": [
            "loan-origination-software|q10|Google AI Mode|2"
          ],
          "evidence_ids": [
            "d1cb12e98c02ec43abbe"
          ],
          "source_counts": [
            {
              "source": "no source shown",
              "answer_count": 1,
              "record_ids": [
                "loan-origination-software|q10|Google AI Mode|2"
              ],
              "frequency": {
                "count": 1,
                "base": 150,
                "rate": 0.7,
                "lower": 0.1,
                "upper": 3.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": false,
          "category_median_count": 0,
          "category_median_base": 150,
          "category_median_rate": 0.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        },
        {
          "vendor": "nCino",
          "frequency": {
            "count": 1,
            "base": 150,
            "rate": 0.7,
            "lower": 0.1,
            "upper": 3.7
          },
          "record_ids": [
            "loan-origination-software|q10|Google AI Overviews|3"
          ],
          "evidence_ids": [
            "259157a3d99a75effffb"
          ],
          "source_counts": [
            {
              "source": "no source shown",
              "answer_count": 1,
              "record_ids": [
                "loan-origination-software|q10|Google AI Overviews|3"
              ],
              "frequency": {
                "count": 1,
                "base": 150,
                "rate": 0.7,
                "lower": 0.1,
                "upper": 3.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": false,
          "category_median_count": 0,
          "category_median_base": 150,
          "category_median_rate": 0.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        }
      ],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "support_general",
      "canonical": "Post-launch support",
      "display_label": "Post launch support",
      "frequency": {
        "count": 3,
        "base": 150,
        "rate": 2.0,
        "lower": 0.7,
        "upper": 5.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|3",
        "loan-origination-software|q9|Google AI Mode|2",
        "loan-origination-software|q9|Perplexity|3"
      ],
      "evidence_ids": [
        "9602ba17d78d3bad00bf",
        "24d69704226b0b9d2e8c",
        "079db3eea4c87ecc0b35"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            2
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "https://www.backbase.com/blog/loan-origination-software",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.biz2x.com/loan-origination-software/5-must-have-features-for-a-loan-origination-system-in-2025/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "no source shown",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|3",
            "loan-origination-software|q9|Google AI Mode|2"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "references",
      "canonical": "References and evidence from comparable lenders",
      "display_label": "References and evidence from comparable lenders",
      "frequency": {
        "count": 3,
        "base": 150,
        "rate": 2.0,
        "lower": 0.7,
        "upper": 5.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|1",
        "loan-origination-software|q9|ChatGPT|2",
        "loan-origination-software|q9|ChatGPT|3"
      ],
      "evidence_ids": [
        "399922a07f707c642eb3",
        "56cd240945cda1335458",
        "1181b49d8f7d9d254f47"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|1",
            "loan-origination-software|q9|ChatGPT|2",
            "loan-origination-software|q9|ChatGPT|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "contract",
      "canonical": "Renewal, termination and transition terms",
      "display_label": "Renewal, termination and transition terms",
      "frequency": {
        "count": 3,
        "base": 150,
        "rate": 2.0,
        "lower": 0.7,
        "upper": 5.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|1",
        "loan-origination-software|q9|ChatGPT|2",
        "loan-origination-software|q9|ChatGPT|3"
      ],
      "evidence_ids": [
        "92f747fc47c556403981",
        "16fcea61b9ebe0356167",
        "04cd930431f80f35e2d0"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "https://www.fdic.gov/news/financial-institution-letters/2023/fil23029.html?utm_source=openai",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|2"
          ]
        },
        {
          "source": "https://www.fdic.gov/news/press-releases/2023/pr23047.html?utm_source=openai",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|1",
            "loan-origination-software|q9|ChatGPT|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "available",
      "canonical": "Required functions currently delivered and available",
      "display_label": "Required functions currently delivered and available",
      "frequency": {
        "count": 3,
        "base": 150,
        "rate": 2.0,
        "lower": 0.7,
        "upper": 5.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|1",
        "loan-origination-software|q9|ChatGPT|2",
        "loan-origination-software|q9|ChatGPT|3"
      ],
      "evidence_ids": [
        "cd8bbc6fd41274b08ab5",
        "7c6842d291af0b30a6c9",
        "ca7a2fdfaf47497e5e2f",
        "64b01dd2f5dc84320a4e"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|1",
            "loan-origination-software|q9|ChatGPT|2",
            "loan-origination-software|q9|ChatGPT|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "resume",
      "canonical": "Save and resume an incomplete application",
      "display_label": "Save and resume an incomplete application",
      "frequency": {
        "count": 3,
        "base": 150,
        "rate": 2.0,
        "lower": 0.7,
        "upper": 5.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|1",
        "loan-origination-software|q9|ChatGPT|2",
        "loan-origination-software|q9|ChatGPT|3"
      ],
      "evidence_ids": [
        "4f52743651b23e9a15bc",
        "79480c4d6abec0e9dee4",
        "2c37c9d06318fed56503"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|1",
            "loan-origination-software|q9|ChatGPT|2",
            "loan-origination-software|q9|ChatGPT|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "document",
      "canonical": "Secure document collection, storage and retrieval",
      "display_label": "Secure document collection, storage and retrieval",
      "frequency": {
        "count": 3,
        "base": 150,
        "rate": 2.0,
        "lower": 0.7,
        "upper": 5.7
      },
      "record_ids": [
        "loan-origination-software|q9|Perplexity|1",
        "loan-origination-software|q9|Perplexity|2",
        "loan-origination-software|q9|Perplexity|3"
      ],
      "evidence_ids": [
        "24010cd77b57c10d011c",
        "4a48e2b9f149c29e0787",
        "9e6a64d14a40d7abe285"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|2",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|2",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.backbase.com/blog/loan-origination-software",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|2"
          ]
        },
        {
          "source": "https://www.investglass.com/loan-origination-system-a-complete-guide-for-modern-lenders/",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|2",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.mortgageautomator.com/resources/what-is-a-loan-origination-system-los-and-do-you-need-one",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|2",
            "loan-origination-software|q9|Perplexity|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "securitytest",
      "canonical": "Security testing and assessment evidence",
      "display_label": "Security testing and assessment evidence",
      "frequency": {
        "count": 3,
        "base": 150,
        "rate": 2.0,
        "lower": 0.7,
        "upper": 5.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|1",
        "loan-origination-software|q9|ChatGPT|2",
        "loan-origination-software|q9|ChatGPT|3"
      ],
      "evidence_ids": [
        "5ac7274c905487dac134",
        "cbdf1ac855737ae2ab4b",
        "dfaeb66c8b704f5d4ab8"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "https://www.ftc.gov/business-guidance/resources/ftc-safeguards-rule-what-your-business-needs-know",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|1",
            "loan-origination-software|q9|ChatGPT|2",
            "loan-origination-software|q9|ChatGPT|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "adverse",
      "canonical": "Specific adverse action reasons and explanations",
      "display_label": "Specific adverse action reasons and explanations",
      "frequency": {
        "count": 3,
        "base": 150,
        "rate": 2.0,
        "lower": 0.7,
        "upper": 5.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|1",
        "loan-origination-software|q9|ChatGPT|2",
        "loan-origination-software|q9|ChatGPT|3"
      ],
      "evidence_ids": [
        "a10fcc1643125fcd7061",
        "d5d4daa1054358e2b837",
        "2eb09b97ff8191a0dac1"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "https://www.consumerfinance.gov/rules-policy/regulations/1002/9/",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|1",
            "loan-origination-software|q9|ChatGPT|2",
            "loan-origination-software|q9|ChatGPT|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "audit",
      "canonical": "Tamper-resistant activity and application audit trails",
      "display_label": "Tamper resistant activity and application audit trails",
      "frequency": {
        "count": 3,
        "base": 150,
        "rate": 2.0,
        "lower": 0.7,
        "upper": 5.7
      },
      "record_ids": [
        "loan-origination-software|q9|Claude|1",
        "loan-origination-software|q9|Claude|2",
        "loan-origination-software|q9|Claude|3"
      ],
      "evidence_ids": [
        "740c1af747e52f9438a3",
        "dfbd3e5ea70e8ce043c3",
        "82196234490edb39a63d"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|Claude|1",
            "loan-origination-software|q9|Claude|2",
            "loan-origination-software|q9|Claude|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "task_management",
      "canonical": "Task management",
      "display_label": "Task management",
      "frequency": {
        "count": 3,
        "base": 150,
        "rate": 2.0,
        "lower": 0.7,
        "upper": 5.7
      },
      "record_ids": [
        "loan-origination-software|q9|Claude|1",
        "loan-origination-software|q9|Claude|2",
        "loan-origination-software|q9|Claude|3"
      ],
      "evidence_ids": [
        "45bee61272e901c637ba",
        "546cafdab9c016da9e0e",
        "e8f7a02ad6dba39bf5a7"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|Claude|1",
            "loan-origination-software|q9|Claude|2",
            "loan-origination-software|q9|Claude|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "recoverytest",
      "canonical": "Tested restoration and recovery evidence",
      "display_label": "Tested restoration and recovery evidence",
      "frequency": {
        "count": 3,
        "base": 150,
        "rate": 2.0,
        "lower": 0.7,
        "upper": 5.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|1",
        "loan-origination-software|q9|ChatGPT|2",
        "loan-origination-software|q9|ChatGPT|3"
      ],
      "evidence_ids": [
        "4da897757ac48a05c5f5",
        "ef25600df67c647a9c78",
        "9056537d3e9b198ad049"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|1",
            "loan-origination-software|q9|ChatGPT|2",
            "loan-origination-software|q9|ChatGPT|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "export",
      "canonical": "Usable complete data exports including documents and audit history",
      "display_label": "Usable complete data exports including documents and audit history",
      "frequency": {
        "count": 3,
        "base": 150,
        "rate": 2.0,
        "lower": 0.7,
        "upper": 5.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|1",
        "loan-origination-software|q9|ChatGPT|2",
        "loan-origination-software|q9|ChatGPT|3"
      ],
      "evidence_ids": [
        "cdf88803f8ff77aae297",
        "097c8fa0986a9192f24d",
        "176a879363eb43b25c9c"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "https://www.fdic.gov/news/financial-institution-letters/2023/fil23029.html?utm_source=openai",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|2"
          ]
        },
        {
          "source": "no source shown",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|1",
            "loan-origination-software|q9|ChatGPT|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "references_general",
      "canonical": "Vendor references and case studies",
      "display_label": "Vendor references and case studies",
      "frequency": {
        "count": 3,
        "base": 150,
        "rate": 2.0,
        "lower": 0.7,
        "upper": 5.7
      },
      "record_ids": [
        "loan-origination-software|q9|Claude|1",
        "loan-origination-software|q9|Claude|2",
        "loan-origination-software|q9|Claude|3"
      ],
      "evidence_ids": [
        "e6bd8634093a5759dfcd",
        "8343fbfcbce2c9c88b3a",
        "0c701b804537ffb16321"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 3,
          "runs": [
            1,
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 3,
          "record_ids": [
            "loan-origination-software|q9|Claude|1",
            "loan-origination-software|q9|Claude|2",
            "loan-origination-software|q9|Claude|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "retention",
      "canonical": "Application record retention rules and history",
      "display_label": "Application record retention rules and history",
      "frequency": {
        "count": 2,
        "base": 150,
        "rate": 1.3,
        "lower": 0.4,
        "upper": 4.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|1",
        "loan-origination-software|q9|ChatGPT|3"
      ],
      "evidence_ids": [
        "bbd2c1d91494762625be",
        "9499ab4fda40f59e3640"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 2,
          "runs": [
            1,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|1",
            "loan-origination-software|q9|ChatGPT|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "decision_audit",
      "canonical": "Auditable lending decisions",
      "display_label": "Auditable lending decisions",
      "frequency": {
        "count": 2,
        "base": 150,
        "rate": 1.3,
        "lower": 0.4,
        "upper": 4.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|1",
        "loan-origination-software|q9|ChatGPT|2"
      ],
      "evidence_ids": [
        "5add77a921275eacdd70",
        "d8b015bb624a5201b9b5"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 2,
          "runs": [
            1,
            2
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|1",
            "loan-origination-software|q9|ChatGPT|2"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "connected_data",
      "canonical": "Connected data without duplicate entry or silos",
      "display_label": "Connected data without duplicate entry or silos",
      "frequency": {
        "count": 2,
        "base": 150,
        "rate": 1.3,
        "lower": 0.4,
        "upper": 4.7
      },
      "record_ids": [
        "loan-origination-software|q9|Google AI Mode|2",
        "loan-origination-software|q9|Google AI Mode|3"
      ],
      "evidence_ids": [
        "1c78d833453614e223bb",
        "7c2363f38df8ca26f7bd"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 2,
          "runs": [
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|Google AI Mode|2",
            "loan-origination-software|q9|Google AI Mode|3"
          ]
        }
      ],
      "adjacent_vendors": [
        {
          "vendor": "LoanPro",
          "frequency": {
            "count": 1,
            "base": 150,
            "rate": 0.7,
            "lower": 0.1,
            "upper": 3.7
          },
          "record_ids": [
            "loan-origination-software|q9|Google AI Mode|3"
          ],
          "evidence_ids": [
            "8fc7ea728073c207db7f"
          ],
          "source_counts": [
            {
              "source": "no source shown",
              "answer_count": 1,
              "record_ids": [
                "loan-origination-software|q9|Google AI Mode|3"
              ],
              "frequency": {
                "count": 1,
                "base": 150,
                "rate": 0.7,
                "lower": 0.1,
                "upper": 3.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": false,
          "category_median_count": 0,
          "category_median_base": 150,
          "category_median_rate": 0.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        }
      ],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "lender_connections",
      "canonical": "Connections with wholesale lenders",
      "display_label": "Connections with wholesale lenders",
      "frequency": {
        "count": 2,
        "base": 150,
        "rate": 1.3,
        "lower": 0.4,
        "upper": 4.7
      },
      "record_ids": [
        "loan-origination-software|q3|Claude|1",
        "loan-origination-software|q3|Claude|2"
      ],
      "evidence_ids": [
        "6c5ec7e20e8b132778a9",
        "381f4b41f1c37240b5b4"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 2,
          "runs": [
            1,
            2
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q3|Claude|1",
            "loan-origination-software|q3|Claude|2"
          ]
        }
      ],
      "adjacent_vendors": [
        {
          "vendor": "ARIVE",
          "frequency": {
            "count": 2,
            "base": 150,
            "rate": 1.3,
            "lower": 0.4,
            "upper": 4.7
          },
          "record_ids": [
            "loan-origination-software|q3|Claude|1",
            "loan-origination-software|q3|Claude|2"
          ],
          "evidence_ids": [
            "673617a411d4cfa87480",
            "f87ff35e26a54387c017"
          ],
          "source_counts": [
            {
              "source": "no source shown",
              "answer_count": 2,
              "record_ids": [
                "loan-origination-software|q3|Claude|1",
                "loan-origination-software|q3|Claude|2"
              ],
              "frequency": {
                "count": 2,
                "base": 150,
                "rate": 1.3,
                "lower": 0.4,
                "upper": 4.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": true,
          "category_median_count": 0,
          "category_median_base": 150,
          "category_median_rate": 0.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        },
        {
          "vendor": "Jupiter",
          "frequency": {
            "count": 2,
            "base": 150,
            "rate": 1.3,
            "lower": 0.4,
            "upper": 4.7
          },
          "record_ids": [
            "loan-origination-software|q3|Claude|1",
            "loan-origination-software|q3|Claude|2"
          ],
          "evidence_ids": [
            "50da65f91f326ed302ee",
            "1823769a63d3f40eebe1"
          ],
          "source_counts": [
            {
              "source": "no source shown",
              "answer_count": 2,
              "record_ids": [
                "loan-origination-software|q3|Claude|1",
                "loan-origination-software|q3|Claude|2"
              ],
              "frequency": {
                "count": 2,
                "base": 150,
                "rate": 1.3,
                "lower": 0.4,
                "upper": 4.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": true,
          "category_median_count": 0,
          "category_median_base": 150,
          "category_median_rate": 0.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        }
      ],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "credit_decisions",
      "canonical": "Credit decisioning",
      "display_label": "Credit decisioning",
      "frequency": {
        "count": 2,
        "base": 150,
        "rate": 1.3,
        "lower": 0.4,
        "upper": 4.7
      },
      "record_ids": [
        "loan-origination-software|q9|Google AI Overviews|2",
        "loan-origination-software|q9|Perplexity|3"
      ],
      "evidence_ids": [
        "c347ccd912d99d723cf8",
        "9e96a5e4069349f48130"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            2
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "https://bakerhill.com/loan-origination-system-basics",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.zeitro.com/blog/key-features-of-loan-origination-system-how-it-helps-lenders-and-loan-officers-close-more-loans-efficiently",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "no source shown",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Google AI Overviews|2"
          ]
        }
      ],
      "adjacent_vendors": [
        {
          "vendor": "MeridianLink",
          "frequency": {
            "count": 1,
            "base": 150,
            "rate": 0.7,
            "lower": 0.1,
            "upper": 3.7
          },
          "record_ids": [
            "loan-origination-software|q9|Google AI Overviews|2"
          ],
          "evidence_ids": [
            "a89d7fe68f7cb94c07d2"
          ],
          "source_counts": [
            {
              "source": "no source shown",
              "answer_count": 1,
              "record_ids": [
                "loan-origination-software|q9|Google AI Overviews|2"
              ],
              "frequency": {
                "count": 1,
                "base": 150,
                "rate": 0.7,
                "lower": 0.1,
                "upper": 3.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": false,
          "category_median_count": 0,
          "category_median_base": 150,
          "category_median_rate": 0.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        },
        {
          "vendor": "TurnKey Lender",
          "frequency": {
            "count": 1,
            "base": 150,
            "rate": 0.7,
            "lower": 0.1,
            "upper": 3.7
          },
          "record_ids": [
            "loan-origination-software|q9|Google AI Overviews|2"
          ],
          "evidence_ids": [
            "7a0868c2b14b5b94919a"
          ],
          "source_counts": [
            {
              "source": "no source shown",
              "answer_count": 1,
              "record_ids": [
                "loan-origination-software|q9|Google AI Overviews|2"
              ],
              "frequency": {
                "count": 1,
                "base": 150,
                "rate": 0.7,
                "lower": 0.1,
                "upper": 3.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": false,
          "category_median_count": 0,
          "category_median_base": 150,
          "category_median_rate": 0.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        }
      ],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "approval_authority",
      "canonical": "Defined approval authority and limits",
      "display_label": "Defined approval authority and limits",
      "frequency": {
        "count": 2,
        "base": 150,
        "rate": 1.3,
        "lower": 0.4,
        "upper": 4.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|1",
        "loan-origination-software|q9|ChatGPT|2"
      ],
      "evidence_ids": [
        "ce07ad6170ea7c928263",
        "f6a8d494da4220389597"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 2,
          "runs": [
            1,
            2
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|1",
            "loan-origination-software|q9|ChatGPT|2"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "document_collection",
      "canonical": "Document collection",
      "display_label": "Document collection",
      "frequency": {
        "count": 2,
        "base": 150,
        "rate": 1.3,
        "lower": 0.4,
        "upper": 4.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|3",
        "loan-origination-software|q9|Google AI Mode|1"
      ],
      "evidence_ids": [
        "a2625f0ddbb5df7a5e2a",
        "fd31b3ed0d56481442c0"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            1
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|3",
            "loan-origination-software|q9|Google AI Mode|1"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "document_requests",
      "canonical": "Document requests and checklists",
      "display_label": "Document requests and checklists",
      "frequency": {
        "count": 2,
        "base": 150,
        "rate": 1.3,
        "lower": 0.4,
        "upper": 4.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|1",
        "loan-origination-software|q9|ChatGPT|2"
      ],
      "evidence_ids": [
        "08a4f1ca5c285b556081",
        "dd6fe552199d5a46b2fe"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 2,
          "runs": [
            1,
            2
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|1",
            "loan-origination-software|q9|ChatGPT|2"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "docgeneration",
      "canonical": "Dynamic document generation",
      "display_label": "Dynamic document generation",
      "frequency": {
        "count": 2,
        "base": 150,
        "rate": 1.3,
        "lower": 0.4,
        "upper": 4.7
      },
      "record_ids": [
        "loan-origination-software|q9|Perplexity|1",
        "loan-origination-software|q9|Perplexity|3"
      ],
      "evidence_ids": [
        "a80b1cdf13a499fa1082",
        "10942d5aca24a9e863fd"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 2,
          "runs": [
            1,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.backbase.com/blog/loan-origination-software",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1"
          ]
        },
        {
          "source": "https://www.investglass.com/loan-origination-system-a-complete-guide-for-modern-lenders/",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.mortgageautomator.com/resources/what-is-a-loan-origination-system-los-and-do-you-need-one",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "failure_handling",
      "canonical": "Handling integration failures",
      "display_label": "Handling integration failures",
      "frequency": {
        "count": 2,
        "base": 150,
        "rate": 1.3,
        "lower": 0.4,
        "upper": 4.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|1",
        "loan-origination-software|q9|ChatGPT|3"
      ],
      "evidence_ids": [
        "1a71498b9d579c732642",
        "dd27f3300704084d2474"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 2,
          "runs": [
            1,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "https://www.fdic.gov/news/financial-institution-letters/2024/third-party-risk-management-guide-community-banks?utm_source=openai",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|3"
          ]
        },
        {
          "source": "no source shown",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|1"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "servicing_handoff",
      "canonical": "Handoff from origination to servicing",
      "display_label": "Handoff from origination to servicing",
      "frequency": {
        "count": 2,
        "base": 150,
        "rate": 1.3,
        "lower": 0.4,
        "upper": 4.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|3",
        "loan-origination-software|q9|Perplexity|3"
      ],
      "evidence_ids": [
        "3dcebb52bc3ef27b836e",
        "d7dca58cddbe4690febc"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.backbase.com/blog/loan-origination-software",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.loanpro.io/platform/origination-suite/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "no source shown",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "human_override",
      "canonical": "Human overrides of automated decisions",
      "display_label": "Human overrides of automated decisions",
      "frequency": {
        "count": 2,
        "base": 150,
        "rate": 1.3,
        "lower": 0.4,
        "upper": 4.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|1",
        "loan-origination-software|q9|ChatGPT|2"
      ],
      "evidence_ids": [
        "ee59b2817d142af9f1cc",
        "0d38faf25897f168ed7e"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 2,
          "runs": [
            1,
            2
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "https://www.consumerfinance.gov/rules-policy/regulations/1002/9/",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|1",
            "loan-origination-software|q9|ChatGPT|2"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "implementation_timing",
      "canonical": "Implementation duration",
      "display_label": "Implementation duration",
      "frequency": {
        "count": 2,
        "base": 150,
        "rate": 1.3,
        "lower": 0.4,
        "upper": 4.7
      },
      "record_ids": [
        "loan-origination-software|q9|Google AI Overviews|1",
        "loan-origination-software|q9|Perplexity|3"
      ],
      "evidence_ids": [
        "ae14cc176ea196719951",
        "33625f37f4ed55424dbf"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            1
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "https://www.backbase.com/blog/loan-origination-software",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.biz2x.com/loan-origination-software/5-must-have-features-for-a-loan-origination-system-in-2025/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "no source shown",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Google AI Overviews|1"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "assurance_reports",
      "canonical": "Independent security assurance reports",
      "display_label": "Independent security assurance reports",
      "frequency": {
        "count": 2,
        "base": 150,
        "rate": 1.3,
        "lower": 0.4,
        "upper": 4.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|2",
        "loan-origination-software|q9|ChatGPT|3"
      ],
      "evidence_ids": [
        "915ad41dd58462735e77",
        "002b1d07817a4334e63d"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 2,
          "runs": [
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|2",
            "loan-origination-software|q9|ChatGPT|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "kyc",
      "canonical": "Know-your-customer and anti-money-laundering controls",
      "display_label": "Know your customer and anti money laundering controls",
      "frequency": {
        "count": 2,
        "base": 150,
        "rate": 1.3,
        "lower": 0.4,
        "upper": 4.7
      },
      "record_ids": [
        "loan-origination-software|q9|Perplexity|1",
        "loan-origination-software|q9|Perplexity|3"
      ],
      "evidence_ids": [
        "6a49d111746b1eacad17",
        "e98ebf6ad8ff138cb8c2"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 2,
          "runs": [
            1,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.backbase.com/blog/loan-origination-software",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1"
          ]
        },
        {
          "source": "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.mortgageautomator.com/resources/what-is-a-loan-origination-system-los-and-do-you-need-one",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.vergentlms.com/servicing-vs-origination-loan-software/",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "loan_servicing",
      "canonical": "Loan servicing",
      "display_label": "Loan servicing",
      "frequency": {
        "count": 2,
        "base": 150,
        "rate": 1.3,
        "lower": 0.4,
        "upper": 4.7
      },
      "record_ids": [
        "loan-origination-software|q10|Claude|1",
        "loan-origination-software|q9|ChatGPT|2"
      ],
      "evidence_ids": [
        "9b0bef4755eb3298d8dc",
        "d539f7e54aad386ae48b"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            2
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 1,
          "runs": [
            1
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q10|Claude|1",
            "loan-origination-software|q9|ChatGPT|2"
          ]
        }
      ],
      "adjacent_vendors": [
        {
          "vendor": "HES LoanBox",
          "frequency": {
            "count": 1,
            "base": 150,
            "rate": 0.7,
            "lower": 0.1,
            "upper": 3.7
          },
          "record_ids": [
            "loan-origination-software|q10|Claude|1"
          ],
          "evidence_ids": [
            "558f1c19bf7794e79659"
          ],
          "source_counts": [
            {
              "source": "no source shown",
              "answer_count": 1,
              "record_ids": [
                "loan-origination-software|q10|Claude|1"
              ],
              "frequency": {
                "count": 1,
                "base": 150,
                "rate": 0.7,
                "lower": 0.1,
                "upper": 3.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": false,
          "category_median_count": 0,
          "category_median_base": 150,
          "category_median_rate": 0.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        },
        {
          "vendor": "Newgen",
          "frequency": {
            "count": 1,
            "base": 150,
            "rate": 0.7,
            "lower": 0.1,
            "upper": 3.7
          },
          "record_ids": [
            "loan-origination-software|q10|Claude|1"
          ],
          "evidence_ids": [
            "b18776152b2b55b24648"
          ],
          "source_counts": [
            {
              "source": "no source shown",
              "answer_count": 1,
              "record_ids": [
                "loan-origination-software|q10|Claude|1"
              ],
              "frequency": {
                "count": 1,
                "base": 150,
                "rate": 0.7,
                "lower": 0.1,
                "upper": 3.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": false,
          "category_median_count": 0,
          "category_median_base": 150,
          "category_median_rate": 0.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        },
        {
          "vendor": "Onyx IQ",
          "frequency": {
            "count": 1,
            "base": 150,
            "rate": 0.7,
            "lower": 0.1,
            "upper": 3.7
          },
          "record_ids": [
            "loan-origination-software|q10|Claude|1"
          ],
          "evidence_ids": [
            "757b9849bc3112884fa1"
          ],
          "source_counts": [
            {
              "source": "no source shown",
              "answer_count": 1,
              "record_ids": [
                "loan-origination-software|q10|Claude|1"
              ],
              "frequency": {
                "count": 1,
                "base": 150,
                "rate": 0.7,
                "lower": 0.1,
                "upper": 3.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": false,
          "category_median_count": 0,
          "category_median_base": 150,
          "category_median_rate": 0.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        },
        {
          "vendor": "timveroOS",
          "frequency": {
            "count": 1,
            "base": 150,
            "rate": 0.7,
            "lower": 0.1,
            "upper": 3.7
          },
          "record_ids": [
            "loan-origination-software|q10|Claude|1"
          ],
          "evidence_ids": [
            "01e22119efe90c36a1db"
          ],
          "source_counts": [
            {
              "source": "no source shown",
              "answer_count": 1,
              "record_ids": [
                "loan-origination-software|q10|Claude|1"
              ],
              "frequency": {
                "count": 1,
                "base": 150,
                "rate": 0.7,
                "lower": 0.1,
                "upper": 3.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": false,
          "category_median_count": 0,
          "category_median_base": 150,
          "category_median_rate": 0.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        }
      ],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "process_metrics",
      "canonical": "Measured completion time, manual work and errors",
      "display_label": "Measured completion time, manual work and errors",
      "frequency": {
        "count": 2,
        "base": 150,
        "rate": 1.3,
        "lower": 0.4,
        "upper": 4.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|1",
        "loan-origination-software|q9|ChatGPT|2"
      ],
      "evidence_ids": [
        "a143a62aabb6d5ded787",
        "42442de10fa7f234ad4e"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 2,
          "runs": [
            1,
            2
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|1",
            "loan-origination-software|q9|ChatGPT|2"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "mobile_access",
      "canonical": "Mobile borrower access",
      "display_label": "Mobile borrower access",
      "frequency": {
        "count": 2,
        "base": 150,
        "rate": 1.3,
        "lower": 0.4,
        "upper": 4.7
      },
      "record_ids": [
        "loan-origination-software|q9|Claude|2",
        "loan-origination-software|q9|Google AI Mode|1"
      ],
      "evidence_ids": [
        "6271ae267707d4028837",
        "d54f2d9c26c2d53a40bc"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            2
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            1
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|Claude|2",
            "loan-origination-software|q9|Google AI Mode|1"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "mobile_or_channels",
      "canonical": "Mobile-friendly or multi-channel onboarding",
      "display_label": "Mobile friendly or multi channel onboarding",
      "frequency": {
        "count": 2,
        "base": 150,
        "rate": 1.3,
        "lower": 0.4,
        "upper": 4.7
      },
      "record_ids": [
        "loan-origination-software|q9|Perplexity|1",
        "loan-origination-software|q9|Perplexity|2"
      ],
      "evidence_ids": [
        "fce42e9fe9c0ee18b6fb",
        "48499b4f0103687d30ff"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 2,
          "runs": [
            1,
            2
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|2"
          ]
        },
        {
          "source": "https://www.abrigo.com/blog/basic-functions-loan-origination-system/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1"
          ]
        },
        {
          "source": "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|2"
          ]
        },
        {
          "source": "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1",
            "loan-origination-software|q9|Perplexity|2"
          ]
        },
        {
          "source": "https://www.novactech.com/blog/loan-origination-systems-complete-guide",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|2"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "borrowers_guarantors",
      "canonical": "Multiple borrowers and guarantors",
      "display_label": "Multiple borrowers and guarantors",
      "frequency": {
        "count": 2,
        "base": 150,
        "rate": 1.3,
        "lower": 0.4,
        "upper": 4.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|1",
        "loan-origination-software|q9|ChatGPT|3"
      ],
      "evidence_ids": [
        "6b51d0694db47c081cb7",
        "1efd04f53a3af4150a67"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 2,
          "runs": [
            1,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|1",
            "loan-origination-software|q9|ChatGPT|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "uptime_reliable",
      "canonical": "Reliable service availability",
      "display_label": "Reliable service availability",
      "frequency": {
        "count": 2,
        "base": 150,
        "rate": 1.3,
        "lower": 0.4,
        "upper": 4.7
      },
      "record_ids": [
        "loan-origination-software|q9|Google AI Mode|1",
        "loan-origination-software|q9|Google AI Mode|2"
      ],
      "evidence_ids": [
        "2d47a437ddf348678641",
        "0fbf2b9361cbf023d11e"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 2,
          "runs": [
            1,
            2
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|Google AI Mode|1",
            "loan-origination-software|q9|Google AI Mode|2"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "remote",
      "canonical": "Remote access to lending operations",
      "display_label": "Remote access to lending operations",
      "frequency": {
        "count": 2,
        "base": 150,
        "rate": 1.3,
        "lower": 0.4,
        "upper": 4.7
      },
      "record_ids": [
        "loan-origination-software|q9|Google AI Mode|3",
        "loan-origination-software|q9|Google AI Overviews|3"
      ],
      "evidence_ids": [
        "9bbca013558a02e8e2dc",
        "999b60e66b061793a839"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|Google AI Mode|3",
            "loan-origination-software|q9|Google AI Overviews|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "uptime_history",
      "canonical": "System uptime history",
      "display_label": "System uptime history",
      "frequency": {
        "count": 2,
        "base": 150,
        "rate": 1.3,
        "lower": 0.4,
        "upper": 4.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|1",
        "loan-origination-software|q9|ChatGPT|3"
      ],
      "evidence_ids": [
        "801d86ef0342521ef948",
        "bdc9e9dcfbca1151e364"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 2,
          "runs": [
            1,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 2,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|1",
            "loan-origination-software|q9|ChatGPT|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "export_general",
      "canonical": "Usable lending data exports",
      "display_label": "Usable lending data exports",
      "frequency": {
        "count": 2,
        "base": 150,
        "rate": 1.3,
        "lower": 0.4,
        "upper": 4.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|1",
        "loan-origination-software|q9|ChatGPT|3"
      ],
      "evidence_ids": [
        "74e365beb169b1c28ed7",
        "68d538c906643062a756",
        "55013238a0b9d5b34143"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 2,
          "runs": [
            1,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "https://www.fdic.gov/news/press-releases/2023/pr23047.html?utm_source=openai",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|3"
          ]
        },
        {
          "source": "no source shown",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|1"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "vendor_financial",
      "canonical": "Vendor financial stability",
      "display_label": "Vendor financial stability",
      "frequency": {
        "count": 2,
        "base": 150,
        "rate": 1.3,
        "lower": 0.4,
        "upper": 4.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|2",
        "loan-origination-software|q9|ChatGPT|3"
      ],
      "evidence_ids": [
        "ce224be5c9b42fddd4bd",
        "116dab20f3c7879cca36"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 2,
          "runs": [
            2,
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "https://www.fdic.gov/news/press-releases/2023/pr23047.html?utm_source=openai",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|2"
          ]
        },
        {
          "source": "https://www.fdic.gov/sites/default/files/2024-03/pr21075a.pdf?utm_source=openai",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "test_environment",
      "canonical": "A usable integration test environment",
      "display_label": "A usable integration test environment",
      "frequency": {
        "count": 1,
        "base": 150,
        "rate": 0.7,
        "lower": 0.1,
        "upper": 3.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|1"
      ],
      "evidence_ids": [
        "58adc24c1639f27cabcd"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            1
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|1"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "api_documentation",
      "canonical": "API documentation",
      "display_label": "API documentation",
      "frequency": {
        "count": 1,
        "base": 150,
        "rate": 0.7,
        "lower": 0.1,
        "upper": 3.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|1"
      ],
      "evidence_ids": [
        "d61642f8f5ba4a776874"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            1
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|1"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "native_or_api",
      "canonical": "APIs or built-in integrations",
      "display_label": "APIs or built in integrations",
      "frequency": {
        "count": 1,
        "base": 150,
        "rate": 0.7,
        "lower": 0.1,
        "upper": 3.7
      },
      "record_ids": [
        "loan-origination-software|q9|Perplexity|2"
      ],
      "evidence_ids": [
        "adb41c4ebc52b6d0912e"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            2
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|2"
          ]
        },
        {
          "source": "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|2"
          ]
        },
        {
          "source": "https://www.backbase.com/blog/loan-origination-software",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|2"
          ]
        },
        {
          "source": "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|2"
          ]
        },
        {
          "source": "https://www.vergentlms.com/servicing-vs-origination-loan-software/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|2"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "dataaccess",
      "canonical": "Accessible underlying lending data",
      "display_label": "Accessible underlying lending data",
      "frequency": {
        "count": 1,
        "base": 150,
        "rate": 0.7,
        "lower": 0.1,
        "upper": 3.7
      },
      "record_ids": [
        "loan-origination-software|q9|Claude|3"
      ],
      "evidence_ids": [
        "8f94bf905c0711fbb7f0"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Claude|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "accessible",
      "canonical": "Accessible user interfaces",
      "display_label": "Accessible user interfaces",
      "frequency": {
        "count": 1,
        "base": 150,
        "rate": 0.7,
        "lower": 0.1,
        "upper": 3.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|2"
      ],
      "evidence_ids": [
        "71917969a6835dc92bce"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            2
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|2"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "disclosure_accuracy",
      "canonical": "Accurate lending disclosures",
      "display_label": "Accurate lending disclosures",
      "frequency": {
        "count": 1,
        "base": 150,
        "rate": 0.7,
        "lower": 0.1,
        "upper": 3.7
      },
      "record_ids": [
        "loan-origination-software|q9|Google AI Overviews|3"
      ],
      "evidence_ids": [
        "1c6ed5d8e30779478476"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Google AI Overviews|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "consent",
      "canonical": "Application consent records",
      "display_label": "Application consent records",
      "frequency": {
        "count": 1,
        "base": 150,
        "rate": 0.7,
        "lower": 0.1,
        "upper": 3.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|2"
      ],
      "evidence_ids": [
        "fda8526eddd1a86fc79f"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            2
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|2"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "turnaround_reporting",
      "canonical": "Application conversion and turnaround reporting",
      "display_label": "Application conversion and turnaround reporting",
      "frequency": {
        "count": 1,
        "base": 150,
        "rate": 0.7,
        "lower": 0.1,
        "upper": 3.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|3"
      ],
      "evidence_ids": [
        "8b52117564d8d0c515c5"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "dynamicforms",
      "canonical": "Application forms that adapt to borrower answers",
      "display_label": "Application forms that adapt to borrower answers",
      "frequency": {
        "count": 1,
        "base": 150,
        "rate": 0.7,
        "lower": 0.1,
        "upper": 3.7
      },
      "record_ids": [
        "loan-origination-software|q9|Perplexity|1"
      ],
      "evidence_ids": [
        "150f7a417dc79e6bdf4f"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            1
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1"
          ]
        },
        {
          "source": "https://www.abrigo.com/blog/basic-functions-loan-origination-system/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1"
          ]
        },
        {
          "source": "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1"
          ]
        },
        {
          "source": "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "decision_reporting",
      "canonical": "Approval, denial, override and exception reporting",
      "display_label": "Approval, denial, override and exception reporting",
      "frequency": {
        "count": 1,
        "base": 150,
        "rate": 0.7,
        "lower": 0.1,
        "upper": 3.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|3"
      ],
      "evidence_ids": [
        "617482dd2a55551b7633"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "updates",
      "canonical": "Automatic or ongoing software updates",
      "display_label": "Automatic or ongoing software updates",
      "frequency": {
        "count": 1,
        "base": 150,
        "rate": 0.7,
        "lower": 0.1,
        "upper": 3.7
      },
      "record_ids": [
        "loan-origination-software|q9|Google AI Overviews|3"
      ],
      "evidence_ids": [
        "a6b0c091b04c81870b94"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Google AI Overviews|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "backup",
      "canonical": "Backups and disaster recovery arrangements",
      "display_label": "Backups and disaster recovery arrangements",
      "frequency": {
        "count": 1,
        "base": 150,
        "rate": 0.7,
        "lower": 0.1,
        "upper": 3.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|1"
      ],
      "evidence_ids": [
        "4e47ab14eb67ba2c6266"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            1
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|1"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "borrower_experience",
      "canonical": "Borrower and member experience",
      "display_label": "Borrower and member experience",
      "frequency": {
        "count": 1,
        "base": 150,
        "rate": 0.7,
        "lower": 0.1,
        "upper": 3.7
      },
      "record_ids": [
        "loan-origination-software|q2|Google AI Overviews|1"
      ],
      "evidence_ids": [
        "ce41471b5cef6ba13904"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 1,
          "runs": [
            1
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q2|Google AI Overviews|1"
          ]
        }
      ],
      "adjacent_vendors": [
        {
          "vendor": "Fuse",
          "frequency": {
            "count": 1,
            "base": 150,
            "rate": 0.7,
            "lower": 0.1,
            "upper": 3.7
          },
          "record_ids": [
            "loan-origination-software|q2|Google AI Overviews|1"
          ],
          "evidence_ids": [
            "c9486a6a26d63bf2b151"
          ],
          "source_counts": [
            {
              "source": "no source shown",
              "answer_count": 1,
              "record_ids": [
                "loan-origination-software|q2|Google AI Overviews|1"
              ],
              "frequency": {
                "count": 1,
                "base": 150,
                "rate": 0.7,
                "lower": 0.1,
                "upper": 3.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": false,
          "category_median_count": 0,
          "category_median_base": 150,
          "category_median_rate": 0.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        },
        {
          "vendor": "Origence",
          "frequency": {
            "count": 1,
            "base": 150,
            "rate": 0.7,
            "lower": 0.1,
            "upper": 3.7
          },
          "record_ids": [
            "loan-origination-software|q2|Google AI Overviews|1"
          ],
          "evidence_ids": [
            "472bed3f3f41eff04bbb"
          ],
          "source_counts": [
            {
              "source": "no source shown",
              "answer_count": 1,
              "record_ids": [
                "loan-origination-software|q2|Google AI Overviews|1"
              ],
              "frequency": {
                "count": 1,
                "base": 150,
                "rate": 0.7,
                "lower": 0.1,
                "upper": 3.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": false,
          "category_median_count": 0,
          "category_median_base": 150,
          "category_median_rate": 0.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        }
      ],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "risk_retail_or_crm",
      "canonical": "Choice of commercial risk, retail efficiency or CRM integration",
      "display_label": "Choice of commercial risk, retail efficiency or CRM integration",
      "frequency": {
        "count": 1,
        "base": 150,
        "rate": 0.7,
        "lower": 0.1,
        "upper": 3.7
      },
      "record_ids": [
        "loan-origination-software|q1|Google AI Overviews|1"
      ],
      "evidence_ids": [
        "5da14fff2827d0761b3a"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 1,
          "runs": [
            1
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q1|Google AI Overviews|1"
          ]
        }
      ],
      "adjacent_vendors": [
        {
          "vendor": "Abrigo",
          "frequency": {
            "count": 1,
            "base": 150,
            "rate": 0.7,
            "lower": 0.1,
            "upper": 3.7
          },
          "record_ids": [
            "loan-origination-software|q1|Google AI Overviews|1"
          ],
          "evidence_ids": [
            "a6a047da0b2aafbe5b7b"
          ],
          "source_counts": [
            {
              "source": "no source shown",
              "answer_count": 1,
              "record_ids": [
                "loan-origination-software|q1|Google AI Overviews|1"
              ],
              "frequency": {
                "count": 1,
                "base": 150,
                "rate": 0.7,
                "lower": 0.1,
                "upper": 3.7
              },
              "category_median_count": 1,
              "category_median_base": 150,
              "category_median_rate": 0.7,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": false,
          "category_median_count": 1,
          "category_median_base": 150,
          "category_median_rate": 0.7,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        },
        {
          "vendor": "MeridianLink",
          "frequency": {
            "count": 1,
            "base": 150,
            "rate": 0.7,
            "lower": 0.1,
            "upper": 3.7
          },
          "record_ids": [
            "loan-origination-software|q1|Google AI Overviews|1"
          ],
          "evidence_ids": [
            "39fcab51c40259f9527e"
          ],
          "source_counts": [
            {
              "source": "no source shown",
              "answer_count": 1,
              "record_ids": [
                "loan-origination-software|q1|Google AI Overviews|1"
              ],
              "frequency": {
                "count": 1,
                "base": 150,
                "rate": 0.7,
                "lower": 0.1,
                "upper": 3.7
              },
              "category_median_count": 1,
              "category_median_base": 150,
              "category_median_rate": 0.7,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": false,
          "category_median_count": 1,
          "category_median_base": 150,
          "category_median_rate": 0.7,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        },
        {
          "vendor": "nCino",
          "frequency": {
            "count": 1,
            "base": 150,
            "rate": 0.7,
            "lower": 0.1,
            "upper": 3.7
          },
          "record_ids": [
            "loan-origination-software|q1|Google AI Overviews|1"
          ],
          "evidence_ids": [
            "61008e5b5bbd89e87e46"
          ],
          "source_counts": [
            {
              "source": "no source shown",
              "answer_count": 1,
              "record_ids": [
                "loan-origination-software|q1|Google AI Overviews|1"
              ],
              "frequency": {
                "count": 1,
                "base": 150,
                "rate": 0.7,
                "lower": 0.1,
                "upper": 3.7
              },
              "category_median_count": 1,
              "category_median_base": 150,
              "category_median_rate": 0.7,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": false,
          "category_median_count": 1,
          "category_median_base": 150,
          "category_median_rate": 0.7,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        }
      ],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "system_boundaries",
      "canonical": "Clear boundaries between LOS and separate systems",
      "display_label": "Clear boundaries between LOS and separate systems",
      "frequency": {
        "count": 1,
        "base": 150,
        "rate": 0.7,
        "lower": 0.1,
        "upper": 3.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|2"
      ],
      "evidence_ids": [
        "92bcf4d81b21a2aae1bf"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            2
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|2"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "corporate_entities",
      "canonical": "Complex corporate entity structures",
      "display_label": "Complex corporate entity structures",
      "frequency": {
        "count": 1,
        "base": 150,
        "rate": 0.7,
        "lower": 0.1,
        "upper": 3.7
      },
      "record_ids": [
        "loan-origination-software|q10|Google AI Overviews|3"
      ],
      "evidence_ids": [
        "f2ed50bf68a5fccae640"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 1,
          "runs": [
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q10|Google AI Overviews|3"
          ]
        }
      ],
      "adjacent_vendors": [
        {
          "vendor": "LoanPro",
          "frequency": {
            "count": 1,
            "base": 150,
            "rate": 0.7,
            "lower": 0.1,
            "upper": 3.7
          },
          "record_ids": [
            "loan-origination-software|q10|Google AI Overviews|3"
          ],
          "evidence_ids": [
            "52714d1c9192caf8f20b"
          ],
          "source_counts": [
            {
              "source": "no source shown",
              "answer_count": 1,
              "record_ids": [
                "loan-origination-software|q10|Google AI Overviews|3"
              ],
              "frequency": {
                "count": 1,
                "base": 150,
                "rate": 0.7,
                "lower": 0.1,
                "upper": 3.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": false,
          "category_median_count": 0,
          "category_median_base": 150,
          "category_median_rate": 0.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        }
      ],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "reportconfig",
      "canonical": "Configurable dashboards and reports",
      "display_label": "Configurable dashboards and reports",
      "frequency": {
        "count": 1,
        "base": 150,
        "rate": 0.7,
        "lower": 0.1,
        "upper": 3.7
      },
      "record_ids": [
        "loan-origination-software|q9|Google AI Mode|1"
      ],
      "evidence_ids": [
        "fb5ad5da8f303cd7b7f8"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            1
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Google AI Mode|1"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "pricing",
      "canonical": "Configurable loan pricing and eligibility rules",
      "display_label": "Configurable loan pricing and eligibility rules",
      "frequency": {
        "count": 1,
        "base": 150,
        "rate": 0.7,
        "lower": 0.1,
        "upper": 3.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|2"
      ],
      "evidence_ids": [
        "5309173f6f64ed1aa049"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            2
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|2"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "custom_effort",
      "canonical": "Configuration and customization effort",
      "display_label": "Configuration and customization effort",
      "frequency": {
        "count": 1,
        "base": 150,
        "rate": 0.7,
        "lower": 0.1,
        "upper": 3.7
      },
      "record_ids": [
        "loan-origination-software|q9|Perplexity|3"
      ],
      "evidence_ids": [
        "618fb0a924b753b55e1e"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "https://www.backbase.com/blog/loan-origination-software",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.biz2x.com/loan-origination-software/5-must-have-features-for-a-loan-origination-system-in-2025/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "data_tool_connections",
      "canonical": "Connections with data warehouses and reporting tools",
      "display_label": "Connections with data warehouses and reporting tools",
      "frequency": {
        "count": 1,
        "base": 150,
        "rate": 0.7,
        "lower": 0.1,
        "upper": 3.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|2"
      ],
      "evidence_ids": [
        "8b290014de4ff2b0afb2"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            2
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|2"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "channel_connections",
      "canonical": "Connections with digital self-service channels",
      "display_label": "Connections with digital self service channels",
      "frequency": {
        "count": 1,
        "base": 150,
        "rate": 0.7,
        "lower": 0.1,
        "upper": 3.7
      },
      "record_ids": [
        "loan-origination-software|q9|Claude|2"
      ],
      "evidence_ids": [
        "ea4beb80bd787a6ddfb8"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            2
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Claude|2"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "integrationfailure",
      "canonical": "Controlled integration failures, retries and duplicate handling",
      "display_label": "Controlled integration failures, retries and duplicate handling",
      "frequency": {
        "count": 1,
        "base": 150,
        "rate": 0.7,
        "lower": 0.1,
        "upper": 3.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|2"
      ],
      "evidence_ids": [
        "54c73888aefe3a1d3314"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            2
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|2"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "cost_reporting",
      "canonical": "Cost per funded loan reporting",
      "display_label": "Cost per funded loan reporting",
      "frequency": {
        "count": 1,
        "base": 150,
        "rate": 0.7,
        "lower": 0.1,
        "upper": 3.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|3"
      ],
      "evidence_ids": [
        "fd3b591233d68c31bdfa"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "risk_scoring",
      "canonical": "Credit risk scoring",
      "display_label": "Credit risk scoring",
      "frequency": {
        "count": 1,
        "base": 150,
        "rate": 0.7,
        "lower": 0.1,
        "upper": 3.7
      },
      "record_ids": [
        "loan-origination-software|q9|Perplexity|3"
      ],
      "evidence_ids": [
        "19ac865bbe5442e72a4b"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "https://bakerhill.com/loan-origination-system-basics",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.zeitro.com/blog/key-features-of-loan-origination-system-how-it-helps-lenders-and-loan-officers-close-more-loans-efficiently",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "data_exchange",
      "canonical": "Data exchange between connected systems",
      "display_label": "Data exchange between connected systems",
      "frequency": {
        "count": 1,
        "base": 150,
        "rate": 0.7,
        "lower": 0.1,
        "upper": 3.7
      },
      "record_ids": [
        "loan-origination-software|q9|Google AI Overviews|1"
      ],
      "evidence_ids": [
        "7ef655e629a53ba75642"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            1
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Google AI Overviews|1"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "migration_help",
      "canonical": "Data migration support",
      "display_label": "Data migration support",
      "frequency": {
        "count": 1,
        "base": 150,
        "rate": 0.7,
        "lower": 0.1,
        "upper": 3.7
      },
      "record_ids": [
        "loan-origination-software|q9|Google AI Overviews|3"
      ],
      "evidence_ids": [
        "1842f635a4d81f9fbf98"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Google AI Overviews|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "sync",
      "canonical": "Defined data exchange and reconciliation",
      "display_label": "Defined data exchange and reconciliation",
      "frequency": {
        "count": 1,
        "base": 150,
        "rate": 0.7,
        "lower": 0.1,
        "upper": 3.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|1"
      ],
      "evidence_ids": [
        "baf118fc911b0c28f7b3"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            1
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|1"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "export_terms",
      "canonical": "Defined export formats and fees",
      "display_label": "Defined export formats and fees",
      "frequency": {
        "count": 1,
        "base": 150,
        "rate": 0.7,
        "lower": 0.1,
        "upper": 3.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|1"
      ],
      "evidence_ids": [
        "b20369a03747ec207ce5"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            1
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "https://www.fdic.gov/news/press-releases/2023/pr23047.html?utm_source=openai",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|1"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "support_hours",
      "canonical": "Defined support hours",
      "display_label": "Defined support hours",
      "frequency": {
        "count": 1,
        "base": 150,
        "rate": 0.7,
        "lower": 0.1,
        "upper": 3.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|1"
      ],
      "evidence_ids": [
        "50123257e8520974318a"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            1
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|1"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "document_security",
      "canonical": "Document security",
      "display_label": "Document security",
      "frequency": {
        "count": 1,
        "base": 150,
        "rate": 0.7,
        "lower": 0.1,
        "upper": 3.7
      },
      "record_ids": [
        "loan-origination-software|q9|Google AI Overviews|2"
      ],
      "evidence_ids": [
        "29eac85b42bddf2d88eb"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            2
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Google AI Overviews|2"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "document_versions",
      "canonical": "Document version history",
      "display_label": "Document version history",
      "frequency": {
        "count": 1,
        "base": 150,
        "rate": 0.7,
        "lower": 0.1,
        "upper": 3.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|2"
      ],
      "evidence_ids": [
        "eb587f6447000d5a4008"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            2
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|2"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "security",
      "canonical": "Documented protection of sensitive borrower data",
      "display_label": "Documented protection of sensitive borrower data",
      "frequency": {
        "count": 1,
        "base": 150,
        "rate": 0.7,
        "lower": 0.1,
        "upper": 3.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|2"
      ],
      "evidence_ids": [
        "7427607e4a4b915d4c51"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            2
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "https://www.ftc.gov/business-guidance/resources/ftc-safeguards-rule-what-your-business-needs-know",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|2"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "uptime",
      "canonical": "Documented system uptime and service commitments",
      "display_label": "Documented system uptime and service commitments",
      "frequency": {
        "count": 1,
        "base": 150,
        "rate": 0.7,
        "lower": 0.1,
        "upper": 3.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|2"
      ],
      "evidence_ids": [
        "32ded870449ad56b284f"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            2
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|2"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "spreading",
      "canonical": "Financial spreading and global cash flow analysis",
      "display_label": "Financial spreading and global cash flow analysis",
      "frequency": {
        "count": 1,
        "base": 150,
        "rate": 0.7,
        "lower": 0.1,
        "upper": 3.7
      },
      "record_ids": [
        "loan-origination-software|q10|Google AI Overviews|1"
      ],
      "evidence_ids": [
        "d962d98b2b3facaa6073"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 1,
          "runs": [
            1
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q10|Google AI Overviews|1"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "financial_spreading",
      "canonical": "Financial statement spreading",
      "display_label": "Financial statement spreading",
      "frequency": {
        "count": 1,
        "base": 150,
        "rate": 0.7,
        "lower": 0.1,
        "upper": 3.7
      },
      "record_ids": [
        "loan-origination-software|q10|Google AI Overviews|1"
      ],
      "evidence_ids": [
        "b83f676b9200e92fdffc"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 1,
          "runs": [
            1
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q10|Google AI Overviews|1"
          ]
        }
      ],
      "adjacent_vendors": [
        {
          "vendor": "nCino",
          "frequency": {
            "count": 1,
            "base": 150,
            "rate": 0.7,
            "lower": 0.1,
            "upper": 3.7
          },
          "record_ids": [
            "loan-origination-software|q10|Google AI Overviews|1"
          ],
          "evidence_ids": [
            "2d4a7537a3bfe4f3c62a"
          ],
          "source_counts": [
            {
              "source": "no source shown",
              "answer_count": 1,
              "record_ids": [
                "loan-origination-software|q10|Google AI Overviews|1"
              ],
              "frequency": {
                "count": 1,
                "base": 150,
                "rate": 0.7,
                "lower": 0.1,
                "upper": 3.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": false,
          "category_median_count": 0,
          "category_median_base": 150,
          "category_median_rate": 0.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        }
      ],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "global_cashflow",
      "canonical": "Global cash flow analysis",
      "display_label": "Global cash flow analysis",
      "frequency": {
        "count": 1,
        "base": 150,
        "rate": 0.7,
        "lower": 0.1,
        "upper": 3.7
      },
      "record_ids": [
        "loan-origination-software|q10|Google AI Overviews|1"
      ],
      "evidence_ids": [
        "47a084e0bf3be622d4c1"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 1,
          "runs": [
            1
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q10|Google AI Overviews|1"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "scale",
      "canonical": "Growth in loan volume and additional products or channels",
      "display_label": "Growth in loan volume and additional products or channels",
      "frequency": {
        "count": 1,
        "base": 150,
        "rate": 0.7,
        "lower": 0.1,
        "upper": 3.7
      },
      "record_ids": [
        "loan-origination-software|q9|Perplexity|3"
      ],
      "evidence_ids": [
        "1c8cd19cc799f8e5d1c1"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.backbase.com/blog/loan-origination-software",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.biz2x.com/loan-origination-software/5-must-have-features-for-a-loan-origination-system-in-2025/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "subcontractor_dependencies",
      "canonical": "Identified subcontractor dependencies",
      "display_label": "Identified subcontractor dependencies",
      "frequency": {
        "count": 1,
        "base": 150,
        "rate": 0.7,
        "lower": 0.1,
        "upper": 3.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|2"
      ],
      "evidence_ids": [
        "34321801ae995cde4628"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            2
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|2"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "advisory_support",
      "canonical": "Implementation and advisory support",
      "display_label": "Implementation and advisory support",
      "frequency": {
        "count": 1,
        "base": 150,
        "rate": 0.7,
        "lower": 0.1,
        "upper": 3.7
      },
      "record_ids": [
        "loan-origination-software|q9|Claude|1"
      ],
      "evidence_ids": [
        "6cd9d148981799564687"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            1
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Claude|1"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "implementation_cost",
      "canonical": "Implementation costs",
      "display_label": "Implementation costs",
      "frequency": {
        "count": 1,
        "base": 150,
        "rate": 0.7,
        "lower": 0.1,
        "upper": 3.7
      },
      "record_ids": [
        "loan-origination-software|q9|Google AI Overviews|1"
      ],
      "evidence_ids": [
        "c1873a8059fe7202d362"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            1
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Google AI Overviews|1"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "securityproof",
      "canonical": "Independent security assurance reports including scope and exceptions",
      "display_label": "Independent security assurance reports including scope and exceptions",
      "frequency": {
        "count": 1,
        "base": 150,
        "rate": 0.7,
        "lower": 0.1,
        "upper": 3.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|1"
      ],
      "evidence_ids": [
        "1bae43576a85958202b9"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            1
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|1"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "loan_pricing",
      "canonical": "Loan pricing logic",
      "display_label": "Loan pricing logic",
      "frequency": {
        "count": 1,
        "base": 150,
        "rate": 0.7,
        "lower": 0.1,
        "upper": 3.7
      },
      "record_ids": [
        "loan-origination-software|q9|Perplexity|3"
      ],
      "evidence_ids": [
        "6e3b6409d188ac85fdac",
        "0db32ff8ebf501e9dc48"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "https://bakerhill.com/loan-origination-system-basics",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.backbase.com/blog/loan-origination-software",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        },
        {
          "source": "https://www.zeitro.com/blog/key-features-of-loan-origination-system-how-it-helps-lenders-and-loan-officers-close-more-loans-efficiently",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "stage_tracking",
      "canonical": "Loan workflow stage tracking",
      "display_label": "Loan workflow stage tracking",
      "frequency": {
        "count": 1,
        "base": 150,
        "rate": 0.7,
        "lower": 0.1,
        "upper": 3.7
      },
      "record_ids": [
        "loan-origination-software|q9|Perplexity|1"
      ],
      "evidence_ids": [
        "a31188323d4d08d2f977"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            1
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1"
          ]
        },
        {
          "source": "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1"
          ]
        },
        {
          "source": "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1"
          ]
        },
        {
          "source": "https://www.ranosys.com/blog/insights/how-can-financial-institutions-optimize-their-loan-origination-systems/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|1"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "entities",
      "canonical": "Multiple borrowers, business entities and guarantors",
      "display_label": "Multiple borrowers, business entities and guarantors",
      "frequency": {
        "count": 1,
        "base": 150,
        "rate": 0.7,
        "lower": 0.1,
        "upper": 3.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|2"
      ],
      "evidence_ids": [
        "bc51bb9686765dfa3f14"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            2
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|2"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "multi_guarantors",
      "canonical": "Multiple guarantors",
      "display_label": "Multiple guarantors",
      "frequency": {
        "count": 1,
        "base": 150,
        "rate": 0.7,
        "lower": 0.1,
        "upper": 3.7
      },
      "record_ids": [
        "loan-origination-software|q9|Perplexity|2"
      ],
      "evidence_ids": [
        "f51ab926bcd3d8e8ee89"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            2
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|2"
          ]
        },
        {
          "source": "https://www.backbase.com/blog/loan-origination-software",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|2"
          ]
        },
        {
          "source": "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Perplexity|2"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "regupdates",
      "canonical": "Ongoing regulatory updates with defined responsibilities",
      "display_label": "Ongoing regulatory updates with defined responsibilities",
      "frequency": {
        "count": 1,
        "base": 150,
        "rate": 0.7,
        "lower": 0.1,
        "upper": 3.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|1"
      ],
      "evidence_ids": [
        "6d6b79c4f92108393612"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            1
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|1"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "vendor_oversight",
      "canonical": "Ongoing vendor oversight",
      "display_label": "Ongoing vendor oversight",
      "frequency": {
        "count": 1,
        "base": 150,
        "rate": 0.7,
        "lower": 0.1,
        "upper": 3.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|2"
      ],
      "evidence_ids": [
        "0d3ec3f96458ae0b94f3"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            2
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "https://www.fdic.gov/news/press-releases/2023/pr23047.html?utm_source=openai",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|2"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "migration_downtime",
      "canonical": "Operational downtime during migration",
      "display_label": "Operational downtime during migration",
      "frequency": {
        "count": 1,
        "base": 150,
        "rate": 0.7,
        "lower": 0.1,
        "upper": 3.7
      },
      "record_ids": [
        "loan-origination-software|q9|Google AI Overviews|1"
      ],
      "evidence_ids": [
        "9a13088b8c9333be54d6"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            1
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Google AI Overviews|1"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "operational_reporting",
      "canonical": "Operational lending reporting",
      "display_label": "Operational lending reporting",
      "frequency": {
        "count": 1,
        "base": 150,
        "rate": 0.7,
        "lower": 0.1,
        "upper": 3.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|1"
      ],
      "evidence_ids": [
        "7925354f0a029b92441a"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            1
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|1"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "support",
      "canonical": "Post-launch support and escalation commitments",
      "display_label": "Post launch support and escalation commitments",
      "frequency": {
        "count": 1,
        "base": 150,
        "rate": 0.7,
        "lower": 0.1,
        "upper": 3.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|1"
      ],
      "evidence_ids": [
        "2ba18e5b22a9717d1105"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            1
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|1"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "realtimereport",
      "canonical": "Real time reporting data",
      "display_label": "Real time reporting data",
      "frequency": {
        "count": 1,
        "base": 150,
        "rate": 0.7,
        "lower": 0.1,
        "upper": 3.7
      },
      "record_ids": [
        "loan-origination-software|q9|Google AI Mode|1"
      ],
      "evidence_ids": [
        "5186f5a00cbfcbf0c373"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            1
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Google AI Mode|1"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "realtime_exchange",
      "canonical": "Real-time data exchange",
      "display_label": "Real time data exchange",
      "frequency": {
        "count": 1,
        "base": 150,
        "rate": 0.7,
        "lower": 0.1,
        "upper": 3.7
      },
      "record_ids": [
        "loan-origination-software|q9|Claude|3"
      ],
      "evidence_ids": [
        "25adcf56c72ca7e11930"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Claude|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "reconciliation",
      "canonical": "Reconciliation of integration data and errors",
      "display_label": "Reconciliation of integration data and errors",
      "frequency": {
        "count": 1,
        "base": 150,
        "rate": 0.7,
        "lower": 0.1,
        "upper": 3.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|2"
      ],
      "evidence_ids": [
        "6997b325c30396c55248"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            2
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|2"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "application_history",
      "canonical": "Reconstructable application history",
      "display_label": "Reconstructable application history",
      "frequency": {
        "count": 1,
        "base": 150,
        "rate": 0.7,
        "lower": 0.1,
        "upper": 3.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|1"
      ],
      "evidence_ids": [
        "0b1e955f887b134792eb"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            1
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|1"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "decisionhistory",
      "canonical": "Reconstructable decision inputs, rules, versions and overrides",
      "display_label": "Reconstructable decision inputs, rules, versions and overrides",
      "frequency": {
        "count": 1,
        "base": 150,
        "rate": 0.7,
        "lower": 0.1,
        "upper": 3.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|1"
      ],
      "evidence_ids": [
        "f32607695f3a0e961328"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            1
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "https://www.consumerfinance.gov/rules-policy/regulations/1002/9/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|1"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "decision_reconstruction",
      "canonical": "Reconstructable history of data, rules, decisions and communications",
      "display_label": "Reconstructable history of data, rules, decisions and communications",
      "frequency": {
        "count": 1,
        "base": 150,
        "rate": 0.7,
        "lower": 0.1,
        "upper": 3.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|3"
      ],
      "evidence_ids": [
        "565caac28f684e806502"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "approval_records",
      "canonical": "Recorded approvals",
      "display_label": "Recorded approvals",
      "frequency": {
        "count": 1,
        "base": 150,
        "rate": 0.7,
        "lower": 0.1,
        "upper": 3.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|1"
      ],
      "evidence_ids": [
        "850baa2ea8a55797b2e0"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            1
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|1"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "regulatory_reporting",
      "canonical": "Regulatory lending reporting",
      "display_label": "Regulatory lending reporting",
      "frequency": {
        "count": 1,
        "base": 150,
        "rate": 0.7,
        "lower": 0.1,
        "upper": 3.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|3"
      ],
      "evidence_ids": [
        "2641685c4bb95d79ea35"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "decision_reproduce",
      "canonical": "Reproducible lending decisions",
      "display_label": "Reproducible lending decisions",
      "frequency": {
        "count": 1,
        "base": 150,
        "rate": 0.7,
        "lower": 0.1,
        "upper": 3.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|3"
      ],
      "evidence_ids": [
        "4b26541342889317cfff"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "staff_time",
      "canonical": "Required internal implementation staff time",
      "display_label": "Required internal implementation staff time",
      "frequency": {
        "count": 1,
        "base": 150,
        "rate": 0.7,
        "lower": 0.1,
        "upper": 3.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|1"
      ],
      "evidence_ids": [
        "3cc0c8716474a246cc3e"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            1
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|1"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "aicontrol",
      "canonical": "Reviewable, explainable and disableable AI decisions",
      "display_label": "Reviewable, explainable and disableable AI decisions",
      "frequency": {
        "count": 1,
        "base": 150,
        "rate": 0.7,
        "lower": 0.1,
        "upper": 3.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|3"
      ],
      "evidence_ids": [
        "c0d48a71c2d4e25b9c8b"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "secure_esign",
      "canonical": "Secure electronic signatures",
      "display_label": "Secure electronic signatures",
      "frequency": {
        "count": 1,
        "base": 150,
        "rate": 0.7,
        "lower": 0.1,
        "upper": 3.7
      },
      "record_ids": [
        "loan-origination-software|q9|Google AI Overviews|1"
      ],
      "evidence_ids": [
        "b4165b2072f2895a53b4"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            1
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Google AI Overviews|1"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "work_queues",
      "canonical": "Staff work queues",
      "display_label": "Staff work queues",
      "frequency": {
        "count": 1,
        "base": 150,
        "rate": 0.7,
        "lower": 0.1,
        "upper": 3.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|3"
      ],
      "evidence_ids": [
        "6b81ac0b4ff971e7c609"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "support_escalation",
      "canonical": "Support escalation procedures",
      "display_label": "Support escalation procedures",
      "frequency": {
        "count": 1,
        "base": 150,
        "rate": 0.7,
        "lower": 0.1,
        "upper": 3.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|2"
      ],
      "evidence_ids": [
        "6504c31d7f51f483ae2e"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            2
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|2"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "relationship_lending",
      "canonical": "Support for relationship-based lending",
      "display_label": "Support for relationship based lending",
      "frequency": {
        "count": 1,
        "base": 150,
        "rate": 0.7,
        "lower": 0.1,
        "upper": 3.7
      },
      "record_ids": [
        "loan-origination-software|q1|Google AI Mode|2"
      ],
      "evidence_ids": [
        "e1e14c1bb86c6aaf87da"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 1,
          "runs": [
            2
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q1|Google AI Mode|2"
          ]
        }
      ],
      "adjacent_vendors": [
        {
          "vendor": "Abrigo",
          "frequency": {
            "count": 1,
            "base": 150,
            "rate": 0.7,
            "lower": 0.1,
            "upper": 3.7
          },
          "record_ids": [
            "loan-origination-software|q1|Google AI Mode|2"
          ],
          "evidence_ids": [
            "bb13d36811e5a3ec6660"
          ],
          "source_counts": [
            {
              "source": "no source shown",
              "answer_count": 1,
              "record_ids": [
                "loan-origination-software|q1|Google AI Mode|2"
              ],
              "frequency": {
                "count": 1,
                "base": 150,
                "rate": 0.7,
                "lower": 0.1,
                "upper": 3.7
              },
              "category_median_count": 0,
              "category_median_base": 150,
              "category_median_rate": 0.0,
              "median_population": [
                "nCino",
                "MeridianLink",
                "ICE Mortgage Technology",
                "Abrigo",
                "Baker Hill"
              ]
            }
          ],
          "named_beside_in_two_or_more": false,
          "category_median_count": 0,
          "category_median_base": 150,
          "category_median_rate": 0.0,
          "median_population": [
            "nCino",
            "MeridianLink",
            "ICE Mortgage Technology",
            "Abrigo",
            "Baker Hill"
          ]
        }
      ],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "support_response",
      "canonical": "Support response commitments",
      "display_label": "Support response commitments",
      "frequency": {
        "count": 1,
        "base": 150,
        "rate": 0.7,
        "lower": 0.1,
        "upper": 3.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|1"
      ],
      "evidence_ids": [
        "6d83c569423ce7da7c38"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            1
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|1"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "routing",
      "canonical": "Task routing and escalation",
      "display_label": "Task routing and escalation",
      "frequency": {
        "count": 1,
        "base": 150,
        "rate": 0.7,
        "lower": 0.1,
        "upper": 3.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|1"
      ],
      "evidence_ids": [
        "d17d8fa2ffdef37783d4"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            1
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|1"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "rulehistory",
      "canonical": "Tested rule changes with version history and rollback",
      "display_label": "Tested rule changes with version history and rollback",
      "frequency": {
        "count": 1,
        "base": 150,
        "rate": 0.7,
        "lower": 0.1,
        "upper": 3.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|1"
      ],
      "evidence_ids": [
        "cfcf230f894d880b0414"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            1
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|1"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "decision_trace",
      "canonical": "Traceable decision versions, overrides and reasons",
      "display_label": "Traceable decision versions, overrides and reasons",
      "frequency": {
        "count": 1,
        "base": 150,
        "rate": 0.7,
        "lower": 0.1,
        "upper": 3.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|2"
      ],
      "evidence_ids": [
        "2735dfc9a62473d6f106"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            2
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "https://www.consumerfinance.gov/rules-policy/regulations/1002/9/",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|2"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "central_reporting",
      "canonical": "Unified reporting tools",
      "display_label": "Unified reporting tools",
      "frequency": {
        "count": 1,
        "base": 150,
        "rate": 0.7,
        "lower": 0.1,
        "upper": 3.7
      },
      "record_ids": [
        "loan-origination-software|q9|Google AI Overviews|3"
      ],
      "evidence_ids": [
        "fe4f2bfd7bfa76538a3d"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Google AI Overviews|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "customer_view",
      "canonical": "Unified view of customer information",
      "display_label": "Unified view of customer information",
      "frequency": {
        "count": 1,
        "base": 150,
        "rate": 0.7,
        "lower": 0.1,
        "upper": 3.7
      },
      "record_ids": [
        "loan-origination-software|q9|Google AI Mode|1"
      ],
      "evidence_ids": [
        "bde3eb7be3a4459504ef"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            1
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|Google AI Mode|1"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "id": "workload_reporting",
      "canonical": "Workload and bottleneck reporting",
      "display_label": "Workload and bottleneck reporting",
      "frequency": {
        "count": 1,
        "base": 150,
        "rate": 0.7,
        "lower": 0.1,
        "upper": 3.7
      },
      "record_ids": [
        "loan-origination-software|q9|ChatGPT|3"
      ],
      "evidence_ids": [
        "18171d5711d61144b12b"
      ],
      "repeat_confidence": [
        {
          "engine": "ChatGPT",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q9",
          "stated_in_n_of_3": 1,
          "runs": [
            3
          ],
          "scheduled_runs": 3
        },
        {
          "engine": "ChatGPT",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Claude",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Perplexity",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Overviews",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q1",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q2",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q3",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q4",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q5",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q6",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q7",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q8",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q9",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        },
        {
          "engine": "Google AI Mode",
          "question_id": "q10",
          "stated_in_n_of_3": 0,
          "runs": [],
          "scheduled_runs": 3
        }
      ],
      "source_counts": [
        {
          "source": "no source shown",
          "answer_count": 1,
          "record_ids": [
            "loan-origination-software|q9|ChatGPT|3"
          ]
        }
      ],
      "adjacent_vendors": [],
      "review_status": "Team review: in progress",
      "verified": false
    }
  ],
  "evidence": [
    {
      "id": "127d3d2b30d6a2ac32fe",
      "record_id": "loan-origination-software|q1|Google AI Mode|1",
      "criterion_id": "fit",
      "engine": "Google AI Mode",
      "question_id": "q1",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 240,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "c0f698924684667df00f6063f1ddc64fbbda8f304842aa0438eaa96c109f405c",
      "answer_sha256": "960489ace573fc8f48b87b50c06b247660125d05dcdf56e9c6cce202cee0594f",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "For a community bank, the \"best\" loan origination software (LOS) depends heavily on whether your primary bottleneck is in consumer/mortgage retail lending or commercial/small business lending, as well as your core banking integration needs.",
      "first_vendor_offset": 345
    },
    {
      "id": "41f04507991b7b7b4f17",
      "record_id": "loan-origination-software|q1|Google AI Mode|1",
      "criterion_id": "core_connections",
      "engine": "Google AI Mode",
      "question_id": "q1",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 240,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "c0f698924684667df00f6063f1ddc64fbbda8f304842aa0438eaa96c109f405c",
      "answer_sha256": "960489ace573fc8f48b87b50c06b247660125d05dcdf56e9c6cce202cee0594f",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "For a community bank, the \"best\" loan origination software (LOS) depends heavily on whether your primary bottleneck is in consumer/mortgage retail lending or commercial/small business lending, as well as your core banking integration needs.",
      "first_vendor_offset": 345
    },
    {
      "id": "d7d992e3f7d68e68ec7d",
      "record_id": "loan-origination-software|q1|Google AI Mode|2",
      "criterion_id": "fit",
      "engine": "Google AI Mode",
      "question_id": "q1",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 389,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "f82761791f582391e9a143956fa5964547b4fd55647bd4751f8021ce55eba2c0",
      "answer_sha256": "f98a5f9e2070901a2b62eb5868d77b3e658649a43be833629c9e717479d261c4",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "For a community bank, the \"best\" loan origination software (LOS) depends heavily on your primary lending mix—whether you focus more on commercial and agricultural loans, retail consumer and mortgage lending, or a balanced multi-product portfolio. Community banks need platforms that balance high-touch relationship banking with modern, automated workflows and strict regulatory compliance.",
      "first_vendor_offset": 481
    },
    {
      "id": "e1e14c1bb86c6aaf87da",
      "record_id": "loan-origination-software|q1|Google AI Mode|2",
      "criterion_id": "relationship_lending",
      "engine": "Google AI Mode",
      "question_id": "q1",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 389,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "f82761791f582391e9a143956fa5964547b4fd55647bd4751f8021ce55eba2c0",
      "answer_sha256": "f98a5f9e2070901a2b62eb5868d77b3e658649a43be833629c9e717479d261c4",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "For a community bank, the \"best\" loan origination software (LOS) depends heavily on your primary lending mix—whether you focus more on commercial and agricultural loans, retail consumer and mortgage lending, or a balanced multi-product portfolio. Community banks need platforms that balance high-touch relationship banking with modern, automated workflows and strict regulatory compliance.",
      "first_vendor_offset": 481
    },
    {
      "id": "42ae4eff13ebd1b4c468",
      "record_id": "loan-origination-software|q1|Google AI Mode|2",
      "criterion_id": "automation",
      "engine": "Google AI Mode",
      "question_id": "q1",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 389,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "f82761791f582391e9a143956fa5964547b4fd55647bd4751f8021ce55eba2c0",
      "answer_sha256": "f98a5f9e2070901a2b62eb5868d77b3e658649a43be833629c9e717479d261c4",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "For a community bank, the \"best\" loan origination software (LOS) depends heavily on your primary lending mix—whether you focus more on commercial and agricultural loans, retail consumer and mortgage lending, or a balanced multi-product portfolio. Community banks need platforms that balance high-touch relationship banking with modern, automated workflows and strict regulatory compliance.",
      "first_vendor_offset": 481
    },
    {
      "id": "635e5abb88814e9c294c",
      "record_id": "loan-origination-software|q1|Google AI Mode|2",
      "criterion_id": "compliance",
      "engine": "Google AI Mode",
      "question_id": "q1",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 389,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "f82761791f582391e9a143956fa5964547b4fd55647bd4751f8021ce55eba2c0",
      "answer_sha256": "f98a5f9e2070901a2b62eb5868d77b3e658649a43be833629c9e717479d261c4",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "For a community bank, the \"best\" loan origination software (LOS) depends heavily on your primary lending mix—whether you focus more on commercial and agricultural loans, retail consumer and mortgage lending, or a balanced multi-product portfolio. Community banks need platforms that balance high-touch relationship banking with modern, automated workflows and strict regulatory compliance.",
      "first_vendor_offset": 481
    },
    {
      "id": "9a6e7d5aa81eb4e25779",
      "record_id": "loan-origination-software|q1|Google AI Overviews|1",
      "criterion_id": "fit",
      "engine": "Google AI Overviews",
      "question_id": "q1",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 58,
      "end": 357,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "973d733cc4c86a19e5428f2618b97ba90ee0055e290104d8c5d4d4b170f8c929",
      "answer_sha256": "1977c37bce769ef7c5fb85e3d527d83f94a5bb3b1eb6b51cfe7c7b491e6cc15d",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "The best loan origination software for a community bank depends on whether your priority is commercial risk compliance, broad multi-product retail efficiency, or Salesforce integration. Because specific pricing depends on asset size, seat count, and loan volume, selection relies on operational fit.",
      "first_vendor_offset": 360
    },
    {
      "id": "5da14fff2827d0761b3a",
      "record_id": "loan-origination-software|q1|Google AI Overviews|1",
      "criterion_id": "risk_retail_or_crm",
      "engine": "Google AI Overviews",
      "question_id": "q1",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 58,
      "end": 357,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "973d733cc4c86a19e5428f2618b97ba90ee0055e290104d8c5d4d4b170f8c929",
      "answer_sha256": "1977c37bce769ef7c5fb85e3d527d83f94a5bb3b1eb6b51cfe7c7b491e6cc15d",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "The best loan origination software for a community bank depends on whether your priority is commercial risk compliance, broad multi-product retail efficiency, or Salesforce integration. Because specific pricing depends on asset size, seat count, and loan volume, selection relies on operational fit.",
      "first_vendor_offset": 360
    },
    {
      "id": "f5cf48df120726e706bd",
      "record_id": "loan-origination-software|q1|Google AI Overviews|2",
      "criterion_id": "fit",
      "engine": "Google AI Overviews",
      "question_id": "q1",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 156,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "ca92cf4ac4e85c0665180d792b62cf67dcf051684bd40531c09eeee02cb2c2d5",
      "answer_sha256": "1d66ebfc0630d354bb23ebc3dd6240e22a38fafb2c0b0b3537ea43d1162962f9",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "The best loan origination software (LOS) for a community bank depends on your dominant lending mix, with leading for consumer and multi-product portfolios, ",
      "first_vendor_offset": 156
    },
    {
      "id": "499cbd1dc2ecdce0de40",
      "record_id": "loan-origination-software|q1|Google AI Overviews|3",
      "criterion_id": "fit",
      "engine": "Google AI Overviews",
      "question_id": "q1",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 309,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "c566e6d38441e527b18a4fa18f66c7a158e29c323702528cbe29f272fc01077a",
      "answer_sha256": "ee72a86a9b56e7cadf19602ebd4e5df07528e4a557806c2448e16027ca35261d",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "The best loan origination software (LOS) for a community bank depends heavily on your primary loan mix, core banking integration, and whether you lean toward commercial or consumer volume. For community banks seeking robust, multi-product capabilities tailored to regulated environments, top platforms like , ",
      "first_vendor_offset": 309
    },
    {
      "id": "d08f32a40c6a03332b56",
      "record_id": "loan-origination-software|q1|Google AI Overviews|3",
      "criterion_id": "core_connections",
      "engine": "Google AI Overviews",
      "question_id": "q1",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 309,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "c566e6d38441e527b18a4fa18f66c7a158e29c323702528cbe29f272fc01077a",
      "answer_sha256": "ee72a86a9b56e7cadf19602ebd4e5df07528e4a557806c2448e16027ca35261d",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "The best loan origination software (LOS) for a community bank depends heavily on your primary loan mix, core banking integration, and whether you lean toward commercial or consumer volume. For community banks seeking robust, multi-product capabilities tailored to regulated environments, top platforms like , ",
      "first_vendor_offset": 309
    },
    {
      "id": "54d5258e7a53c7f46037",
      "record_id": "loan-origination-software|q1|Google AI Overviews|3",
      "criterion_id": "loan_types",
      "engine": "Google AI Overviews",
      "question_id": "q1",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 309,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "c566e6d38441e527b18a4fa18f66c7a158e29c323702528cbe29f272fc01077a",
      "answer_sha256": "ee72a86a9b56e7cadf19602ebd4e5df07528e4a557806c2448e16027ca35261d",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "The best loan origination software (LOS) for a community bank depends heavily on your primary loan mix, core banking integration, and whether you lean toward commercial or consumer volume. For community banks seeking robust, multi-product capabilities tailored to regulated environments, top platforms like , ",
      "first_vendor_offset": 309
    },
    {
      "id": "d491d0daed8abff41ef5",
      "record_id": "loan-origination-software|q1|Google AI Overviews|3",
      "criterion_id": "compliance",
      "engine": "Google AI Overviews",
      "question_id": "q1",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 309,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "c566e6d38441e527b18a4fa18f66c7a158e29c323702528cbe29f272fc01077a",
      "answer_sha256": "ee72a86a9b56e7cadf19602ebd4e5df07528e4a557806c2448e16027ca35261d",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "The best loan origination software (LOS) for a community bank depends heavily on your primary loan mix, core banking integration, and whether you lean toward commercial or consumer volume. For community banks seeking robust, multi-product capabilities tailored to regulated environments, top platforms like , ",
      "first_vendor_offset": 309
    },
    {
      "id": "1f694173a0d411ba8a76",
      "record_id": "loan-origination-software|q1|Perplexity|1",
      "criterion_id": "fit",
      "engine": "Perplexity",
      "question_id": "q1",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 221,
      "sources": [
        "https://thelosdirectory.com/",
        "https://thelosdirectory.com/best/loan-origination-software",
        "https://www.uptiq.ai/feeds/best-commercial-loan-origination-software-banks"
      ],
      "source_state": "attached source",
      "quote_sha256": "caaaa5fca631de222b05be834c15cfb7dc3978ea23eaa4619f5ca2c67eea6dac",
      "answer_sha256": "224eeb5294f550f236820fede56569c1877fda8dd22b67ca4feb36b82101eac3",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 329
    },
    {
      "id": "70493cb1d82f6d967fc2",
      "record_id": "loan-origination-software|q1|Perplexity|2",
      "criterion_id": "fit",
      "engine": "Perplexity",
      "question_id": "q1",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 216,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "a4da8e06c9791672bf329b0f76a2b923610f34e1b12ac8a93ccc20f664fabec5",
      "answer_sha256": "446d97a52de007f39ec4d04bca209680edea40bcc28ee06fa168db37dc7df95b",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 216
    },
    {
      "id": "feaae06656bac2ffb14e",
      "record_id": "loan-origination-software|q1|Perplexity|3",
      "criterion_id": "fit",
      "engine": "Perplexity",
      "question_id": "q1",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 281,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "19ef0e1b42e21a6ed365ddec86830312d3a782faa5e683e08b9a50de8bb3d168",
      "answer_sha256": "2395cee7e52992a3710cf5faa61f37c67e67be98eeb330a3fa83dfd2d68b65c7",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 281
    },
    {
      "id": "cfdf2b78bcbf11a73f2c",
      "record_id": "loan-origination-software|q2|Google AI Mode|1",
      "criterion_id": "fit",
      "engine": "Google AI Mode",
      "question_id": "q2",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 228,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "14655fb1caa5ad992bbeae741518511928add3b4b12afa078b387be6ee2a7841",
      "answer_sha256": "789051db70649e165b5714c73f944f9d34ffc958528aa0ff8f5c9de36121d83f",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "When choosing the best loan origination software (LOS) for a credit union, the \"best\" option depends heavily on your credit union's asset size, member base, and core banking integration (e.g., Jack Henry, Fiserv, or Corelation).",
      "first_vendor_offset": 359
    },
    {
      "id": "e2ce3f444521f8630064",
      "record_id": "loan-origination-software|q2|Google AI Mode|1",
      "criterion_id": "core_connections",
      "engine": "Google AI Mode",
      "question_id": "q2",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 228,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "14655fb1caa5ad992bbeae741518511928add3b4b12afa078b387be6ee2a7841",
      "answer_sha256": "789051db70649e165b5714c73f944f9d34ffc958528aa0ff8f5c9de36121d83f",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "When choosing the best loan origination software (LOS) for a credit union, the \"best\" option depends heavily on your credit union's asset size, member base, and core banking integration (e.g., Jack Henry, Fiserv, or Corelation).",
      "first_vendor_offset": 359
    },
    {
      "id": "8f73b4a0f0cc8c0a39eb",
      "record_id": "loan-origination-software|q2|Google AI Mode|2",
      "criterion_id": "fit",
      "engine": "Google AI Mode",
      "question_id": "q2",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 305,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "d4bb8cef624893c9e3427bc4bdf4d523f9abece0e45d21358f9fe5eb966fca87",
      "answer_sha256": "76d55f339e55782b19beebf5fa051b48a935d60c2d2ded095bf5e9bbc3f4c26d",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "The best loan origination software (LOS) for a credit union depends heavily on your asset size, member focus (consumer vs. commercial/mortgage), and whether you need automated indirect auto lending networks. However, market-leading solutions explicitly tailored or widely adopted by credit unions include ",
      "first_vendor_offset": 305
    },
    {
      "id": "ce41471b5cef6ba13904",
      "record_id": "loan-origination-software|q2|Google AI Overviews|1",
      "criterion_id": "borrower_experience",
      "engine": "Google AI Overviews",
      "question_id": "q2",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 227,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "15ca3149a35a0791d9014e545ee99417494fb00ca139146877e4c80e4f328b9e",
      "answer_sha256": "002f6a849082ad539220bef7179795d7b06f2986712370a2364c5cebae870a42",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Hey there! Finding the right loan origination software (LOS) for a credit union comes down to balancing seamless member experiences, deep core integrations, and multi-product flexibility (consumer, indirect auto, and mortgage).",
      "first_vendor_offset": 286
    },
    {
      "id": "c5a994baec932c30b1c7",
      "record_id": "loan-origination-software|q2|Google AI Overviews|1",
      "criterion_id": "core_connections",
      "engine": "Google AI Overviews",
      "question_id": "q2",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 227,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "15ca3149a35a0791d9014e545ee99417494fb00ca139146877e4c80e4f328b9e",
      "answer_sha256": "002f6a849082ad539220bef7179795d7b06f2986712370a2364c5cebae870a42",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Hey there! Finding the right loan origination software (LOS) for a credit union comes down to balancing seamless member experiences, deep core integrations, and multi-product flexibility (consumer, indirect auto, and mortgage).",
      "first_vendor_offset": 286
    },
    {
      "id": "9aff879342667e9abaae",
      "record_id": "loan-origination-software|q2|Google AI Overviews|1",
      "criterion_id": "loan_types",
      "engine": "Google AI Overviews",
      "question_id": "q2",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 227,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "15ca3149a35a0791d9014e545ee99417494fb00ca139146877e4c80e4f328b9e",
      "answer_sha256": "002f6a849082ad539220bef7179795d7b06f2986712370a2364c5cebae870a42",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Hey there! Finding the right loan origination software (LOS) for a credit union comes down to balancing seamless member experiences, deep core integrations, and multi-product flexibility (consumer, indirect auto, and mortgage).",
      "first_vendor_offset": 286
    },
    {
      "id": "92dfa3881de151d4f49d",
      "record_id": "loan-origination-software|q2|Google AI Overviews|2",
      "criterion_id": "fit",
      "engine": "Google AI Overviews",
      "question_id": "q2",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 137,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "48d925cf6880a4b2944c24943abc867b0669972e8012924d83598dc841a8eb5d",
      "answer_sha256": "af4fd2eec14bf8a17774f9c0a8ad64ebce29001ca8859b0f36bda840ec11a481",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "The best loan origination software (LOS) for a credit union depends heavily on your specific mix of direct and indirect lending, but and ",
      "first_vendor_offset": 137
    },
    {
      "id": "ca5a24ab96a104aaac44",
      "record_id": "loan-origination-software|q2|Perplexity|1",
      "criterion_id": "fit",
      "engine": "Perplexity",
      "question_id": "q2",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 228,
      "sources": [
        "https://thelosdirectory.com/",
        "https://www.capterra.com/loan-origination-software/",
        "https://www.loanpro.io/blog/best-loan-origination-software/",
        "https://www.multimodal.dev/post/best-loan-origination-software"
      ],
      "source_state": "attached source",
      "quote_sha256": "ff772fb3e432166a0fc40e5304cd2859665a1322350c295cff574b1fadefe31d",
      "answer_sha256": "98d3b0940ea962c10b71a5f3311fae3f01d921ec3b2e32edb448c50f816ad197",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 256
    },
    {
      "id": "7a81d0c8fe6ba49ae50b",
      "record_id": "loan-origination-software|q2|Perplexity|2",
      "criterion_id": "fit",
      "engine": "Perplexity",
      "question_id": "q2",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 234,
      "sources": [
        "https://thelosdirectory.com/",
        "https://www.multimodal.dev/post/best-loan-origination-software",
        "https://www.softwareadvice.com/loan-origination/"
      ],
      "source_state": "attached source",
      "quote_sha256": "fd43cbbfd73dec4ee2626839d8042f5ca5a1c576e4b52dd98dec7dd66c8ec79b",
      "answer_sha256": "573176977abc65eaf7d56c6906cfb10ae9f2cb91240d9edbca9278da25b40594",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 262
    },
    {
      "id": "8108d261d2f3cd1fc97f",
      "record_id": "loan-origination-software|q2|Perplexity|3",
      "criterion_id": "fit",
      "engine": "Perplexity",
      "question_id": "q2",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 240,
      "sources": [
        "https://blog.digitalheroesco.com/best/best-loan-origination-software/",
        "https://thelosdirectory.com/",
        "https://www.multimodal.dev/post/best-loan-origination-software"
      ],
      "source_state": "attached source",
      "quote_sha256": "01ea23bca67ae08aa4a643b9aca46cf25b97085f97f4408b69b54130974c9653",
      "answer_sha256": "4e821ac5078fcc1631ff9ceafcdf512d64c52ac83b351d2b68ddf3e2d803ce3b",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 268
    },
    {
      "id": "82cc8b913e1dae016943",
      "record_id": "loan-origination-software|q3|Claude|1",
      "criterion_id": "fit",
      "engine": "Claude",
      "question_id": "q3",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 208,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "b66ff4ffeb1fb48afb3ccc277bd507dc07d9d13175bdd4cb9e2220c3cde67488",
      "answer_sha256": "4f9c927d16645ed89c362ddedf83b691d68ddda45141a9bce32ff7a1cce172e2",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Great question! There's no single \"best\" mortgage LOS for every small broker shop — the right choice depends on your workflow, lender relationships, and budget. Here's a breakdown of the top options for 2026:",
      "first_vendor_offset": 287
    },
    {
      "id": "6c5ec7e20e8b132778a9",
      "record_id": "loan-origination-software|q3|Claude|1",
      "criterion_id": "lender_connections",
      "engine": "Claude",
      "question_id": "q3",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 208,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "b66ff4ffeb1fb48afb3ccc277bd507dc07d9d13175bdd4cb9e2220c3cde67488",
      "answer_sha256": "4f9c927d16645ed89c362ddedf83b691d68ddda45141a9bce32ff7a1cce172e2",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Great question! There's no single \"best\" mortgage LOS for every small broker shop — the right choice depends on your workflow, lender relationships, and budget. Here's a breakdown of the top options for 2026:",
      "first_vendor_offset": 287
    },
    {
      "id": "4c44842cbde54a573792",
      "record_id": "loan-origination-software|q3|Claude|1",
      "criterion_id": "affordable",
      "engine": "Claude",
      "question_id": "q3",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 208,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "b66ff4ffeb1fb48afb3ccc277bd507dc07d9d13175bdd4cb9e2220c3cde67488",
      "answer_sha256": "4f9c927d16645ed89c362ddedf83b691d68ddda45141a9bce32ff7a1cce172e2",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Great question! There's no single \"best\" mortgage LOS for every small broker shop — the right choice depends on your workflow, lender relationships, and budget. Here's a breakdown of the top options for 2026:",
      "first_vendor_offset": 287
    },
    {
      "id": "e669a4b6be8dc81c8f5b",
      "record_id": "loan-origination-software|q3|Claude|2",
      "criterion_id": "fit",
      "engine": "Claude",
      "question_id": "q3",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 229,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "fb03a1fbb8a68331aa7b912e419f00d97bdd5bc175c1d8a930fb74cd5b225caf",
      "answer_sha256": "085913aed152f92d09b7edbce15fcbee20d3d37308f1ec7dc0fe3aa66575aaee",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Great question! The \"best\" mortgage LOS for a small broker shop depends on your specific workflow, lender relationships, and budget — but here are the top contenders for 2026, ranked by how well they fit a small broker operation:",
      "first_vendor_offset": 315
    },
    {
      "id": "381f4b41f1c37240b5b4",
      "record_id": "loan-origination-software|q3|Claude|2",
      "criterion_id": "lender_connections",
      "engine": "Claude",
      "question_id": "q3",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 229,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "fb03a1fbb8a68331aa7b912e419f00d97bdd5bc175c1d8a930fb74cd5b225caf",
      "answer_sha256": "085913aed152f92d09b7edbce15fcbee20d3d37308f1ec7dc0fe3aa66575aaee",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Great question! The \"best\" mortgage LOS for a small broker shop depends on your specific workflow, lender relationships, and budget — but here are the top contenders for 2026, ranked by how well they fit a small broker operation:",
      "first_vendor_offset": 315
    },
    {
      "id": "e75475e7e4df623e1920",
      "record_id": "loan-origination-software|q3|Claude|2",
      "criterion_id": "affordable",
      "engine": "Claude",
      "question_id": "q3",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 229,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "fb03a1fbb8a68331aa7b912e419f00d97bdd5bc175c1d8a930fb74cd5b225caf",
      "answer_sha256": "085913aed152f92d09b7edbce15fcbee20d3d37308f1ec7dc0fe3aa66575aaee",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Great question! The \"best\" mortgage LOS for a small broker shop depends on your specific workflow, lender relationships, and budget — but here are the top contenders for 2026, ranked by how well they fit a small broker operation:",
      "first_vendor_offset": 315
    },
    {
      "id": "b4c2d81764fc11348629",
      "record_id": "loan-origination-software|q3|Google AI Mode|1",
      "criterion_id": "fit",
      "engine": "Google AI Mode",
      "question_id": "q3",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 249,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "7da5a80a34b9e7848a8f01cd5cfa33aef5113f4316662379d6a16a4c9573bbd7",
      "answer_sha256": "ac8753039181dd5854b36d12dc4315bc4f46caba405271f2965b35ffce976352",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "For a small mortgage broker shop, the \"best\" Loan Origination Software (LOS) usually comes down to a choice between two dominant, cloud-native platforms built specifically for the broker channel. For small teams, heavyweight enterprise systems like ",
      "first_vendor_offset": 249
    },
    {
      "id": "9291ad2213cffacf7f8a",
      "record_id": "loan-origination-software|q3|Google AI Mode|1",
      "criterion_id": "cloud",
      "engine": "Google AI Mode",
      "question_id": "q3",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 249,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "7da5a80a34b9e7848a8f01cd5cfa33aef5113f4316662379d6a16a4c9573bbd7",
      "answer_sha256": "ac8753039181dd5854b36d12dc4315bc4f46caba405271f2965b35ffce976352",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "For a small mortgage broker shop, the \"best\" Loan Origination Software (LOS) usually comes down to a choice between two dominant, cloud-native platforms built specifically for the broker channel. For small teams, heavyweight enterprise systems like ",
      "first_vendor_offset": 249
    },
    {
      "id": "a4251202986bd19a64ae",
      "record_id": "loan-origination-software|q3|Google AI Mode|3",
      "criterion_id": "cloud",
      "engine": "Google AI Mode",
      "question_id": "q3",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 278,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "fef66d152b06fcf489e8cbcc2b9fe6ccbee172fe060c53c37406bed7c1d27c34",
      "answer_sha256": "44284b28e3f7f1f9db643146a61e81ffa02dd62d2859083e8d6b6eff9e0e73ef",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "For a small mortgage broker shop, the \"best\" Loan Origination Software (LOS) comes down to modern cloud convenience, pricing that doesn't scale punishingly against low volume, and an ecosystem built specifically for wholesale brokers rather than giant retail banking operations.",
      "first_vendor_offset": 375
    },
    {
      "id": "5eb94817512a36f59893",
      "record_id": "loan-origination-software|q3|Google AI Mode|3",
      "criterion_id": "affordable",
      "engine": "Google AI Mode",
      "question_id": "q3",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 278,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "fef66d152b06fcf489e8cbcc2b9fe6ccbee172fe060c53c37406bed7c1d27c34",
      "answer_sha256": "44284b28e3f7f1f9db643146a61e81ffa02dd62d2859083e8d6b6eff9e0e73ef",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "For a small mortgage broker shop, the \"best\" Loan Origination Software (LOS) comes down to modern cloud convenience, pricing that doesn't scale punishingly against low volume, and an ecosystem built specifically for wholesale brokers rather than giant retail banking operations.",
      "first_vendor_offset": 375
    },
    {
      "id": "0f7265ef71c8f770dfc3",
      "record_id": "loan-origination-software|q3|Google AI Mode|3",
      "criterion_id": "fit",
      "engine": "Google AI Mode",
      "question_id": "q3",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 278,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "fef66d152b06fcf489e8cbcc2b9fe6ccbee172fe060c53c37406bed7c1d27c34",
      "answer_sha256": "44284b28e3f7f1f9db643146a61e81ffa02dd62d2859083e8d6b6eff9e0e73ef",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "For a small mortgage broker shop, the \"best\" Loan Origination Software (LOS) comes down to modern cloud convenience, pricing that doesn't scale punishingly against low volume, and an ecosystem built specifically for wholesale brokers rather than giant retail banking operations.",
      "first_vendor_offset": 375
    },
    {
      "id": "f1dab6a8e528bbec09c3",
      "record_id": "loan-origination-software|q7|Claude|1",
      "criterion_id": "fit",
      "engine": "Claude",
      "question_id": "q7",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 204,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "7b1f81b451d3330caca510d64a34aa5e9b528afcbd63bfa889f81677b34a9b44",
      "answer_sha256": "2dbfe18b3226d1fa23ac946f209bed95b167addf2a1c6ab48650d5510c2eaed0",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Great question — and the honest answer is: **it depends on what your community bank primarily needs.** These two platforms serve overlapping but distinctly different purposes. Here's a thorough breakdown:",
      "first_vendor_offset": 216
    },
    {
      "id": "f1744e7aeb3c25eaf055",
      "record_id": "loan-origination-software|q7|Claude|3",
      "criterion_id": "fit",
      "engine": "Claude",
      "question_id": "q7",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 91,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "9527bce1b42f85b5e09d2a743b51d481e39d34b21c48f329c7d1057787092a0b",
      "answer_sha256": "d3dcdfbf2efa96458a34baeb5fd57b19070dbcd9e97b4a2f101ae7239714a90e",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Great question! The answer really depends on **what your community bank primarily needs**. ",
      "first_vendor_offset": 91
    },
    {
      "id": "ed66e2deda8a6b6d5686",
      "record_id": "loan-origination-software|q10|Claude|1",
      "criterion_id": "unified",
      "engine": "Claude",
      "question_id": "q10",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 303,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "e1c3b51cef2d3b89a6945d1e44d179e5429afdee046acd71124f8c28efffd256",
      "answer_sha256": "4af4e40d2e6652388dadb05f6d42e441f88d0a8c269a0e33e8048b7ab1a0dc2f",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Great question! For a lender that **funds commercial and specialty loans in-house**, you need a platform that supports end-to-end lifecycle management — from origination through underwriting, closing, funding, and servicing — all within a single system. Here are the top platforms that fit that profile:",
      "first_vendor_offset": 407
    },
    {
      "id": "2b3999c5cb11ffe00bd9",
      "record_id": "loan-origination-software|q10|Claude|1",
      "criterion_id": "underwrite",
      "engine": "Claude",
      "question_id": "q10",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 303,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "e1c3b51cef2d3b89a6945d1e44d179e5429afdee046acd71124f8c28efffd256",
      "answer_sha256": "4af4e40d2e6652388dadb05f6d42e441f88d0a8c269a0e33e8048b7ab1a0dc2f",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Great question! For a lender that **funds commercial and specialty loans in-house**, you need a platform that supports end-to-end lifecycle management — from origination through underwriting, closing, funding, and servicing — all within a single system. Here are the top platforms that fit that profile:",
      "first_vendor_offset": 407
    },
    {
      "id": "b38f399b6e886b35bee9",
      "record_id": "loan-origination-software|q10|Claude|1",
      "criterion_id": "funding",
      "engine": "Claude",
      "question_id": "q10",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 303,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "e1c3b51cef2d3b89a6945d1e44d179e5429afdee046acd71124f8c28efffd256",
      "answer_sha256": "4af4e40d2e6652388dadb05f6d42e441f88d0a8c269a0e33e8048b7ab1a0dc2f",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Great question! For a lender that **funds commercial and specialty loans in-house**, you need a platform that supports end-to-end lifecycle management — from origination through underwriting, closing, funding, and servicing — all within a single system. Here are the top platforms that fit that profile:",
      "first_vendor_offset": 407
    },
    {
      "id": "f745fea58d09d732dad5",
      "record_id": "loan-origination-software|q10|Claude|1",
      "criterion_id": "funding_general",
      "engine": "Claude",
      "question_id": "q10",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 303,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "e1c3b51cef2d3b89a6945d1e44d179e5429afdee046acd71124f8c28efffd256",
      "answer_sha256": "4af4e40d2e6652388dadb05f6d42e441f88d0a8c269a0e33e8048b7ab1a0dc2f",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Great question! For a lender that **funds commercial and specialty loans in-house**, you need a platform that supports end-to-end lifecycle management — from origination through underwriting, closing, funding, and servicing — all within a single system. Here are the top platforms that fit that profile:",
      "first_vendor_offset": 407
    },
    {
      "id": "330b0ab0b3c623b44161",
      "record_id": "loan-origination-software|q10|Claude|1",
      "criterion_id": "closing_general",
      "engine": "Claude",
      "question_id": "q10",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 303,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "e1c3b51cef2d3b89a6945d1e44d179e5429afdee046acd71124f8c28efffd256",
      "answer_sha256": "4af4e40d2e6652388dadb05f6d42e441f88d0a8c269a0e33e8048b7ab1a0dc2f",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Great question! For a lender that **funds commercial and specialty loans in-house**, you need a platform that supports end-to-end lifecycle management — from origination through underwriting, closing, funding, and servicing — all within a single system. Here are the top platforms that fit that profile:",
      "first_vendor_offset": 407
    },
    {
      "id": "9b0bef4755eb3298d8dc",
      "record_id": "loan-origination-software|q10|Claude|1",
      "criterion_id": "loan_servicing",
      "engine": "Claude",
      "question_id": "q10",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 303,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "e1c3b51cef2d3b89a6945d1e44d179e5429afdee046acd71124f8c28efffd256",
      "answer_sha256": "4af4e40d2e6652388dadb05f6d42e441f88d0a8c269a0e33e8048b7ab1a0dc2f",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Great question! For a lender that **funds commercial and specialty loans in-house**, you need a platform that supports end-to-end lifecycle management — from origination through underwriting, closing, funding, and servicing — all within a single system. Here are the top platforms that fit that profile:",
      "first_vendor_offset": 407
    },
    {
      "id": "50b0587323614d6e06ac",
      "record_id": "loan-origination-software|q10|Claude|2",
      "criterion_id": "unified",
      "engine": "Claude",
      "question_id": "q10",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 336,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "eb52b74280404fa31ade6672176fdcd568d537f9475345903e59e541f5cc8864",
      "answer_sha256": "b16c0bcb71122e2c3434351c984bfbcfe2c492ac2fb0b6d5a6a284b3910814a3",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Great question! For a lender that **funds commercial and specialty loans in-house**, the ideal platform needs to support the full loan lifecycle — from origination and underwriting all the way through closing, funding, and portfolio management — with flexibility for diverse loan types. Here are the top platforms that fit this profile:",
      "first_vendor_offset": 440
    },
    {
      "id": "0d990097fd9ff2d5f2fd",
      "record_id": "loan-origination-software|q10|Claude|2",
      "criterion_id": "underwrite",
      "engine": "Claude",
      "question_id": "q10",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 336,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "eb52b74280404fa31ade6672176fdcd568d537f9475345903e59e541f5cc8864",
      "answer_sha256": "b16c0bcb71122e2c3434351c984bfbcfe2c492ac2fb0b6d5a6a284b3910814a3",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Great question! For a lender that **funds commercial and specialty loans in-house**, the ideal platform needs to support the full loan lifecycle — from origination and underwriting all the way through closing, funding, and portfolio management — with flexibility for diverse loan types. Here are the top platforms that fit this profile:",
      "first_vendor_offset": 440
    },
    {
      "id": "15154beea67b60d96e0d",
      "record_id": "loan-origination-software|q10|Claude|2",
      "criterion_id": "funding",
      "engine": "Claude",
      "question_id": "q10",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 336,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "eb52b74280404fa31ade6672176fdcd568d537f9475345903e59e541f5cc8864",
      "answer_sha256": "b16c0bcb71122e2c3434351c984bfbcfe2c492ac2fb0b6d5a6a284b3910814a3",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Great question! For a lender that **funds commercial and specialty loans in-house**, the ideal platform needs to support the full loan lifecycle — from origination and underwriting all the way through closing, funding, and portfolio management — with flexibility for diverse loan types. Here are the top platforms that fit this profile:",
      "first_vendor_offset": 440
    },
    {
      "id": "945f65e3ca2f804f1f5b",
      "record_id": "loan-origination-software|q10|Claude|2",
      "criterion_id": "funding_general",
      "engine": "Claude",
      "question_id": "q10",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 336,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "eb52b74280404fa31ade6672176fdcd568d537f9475345903e59e541f5cc8864",
      "answer_sha256": "b16c0bcb71122e2c3434351c984bfbcfe2c492ac2fb0b6d5a6a284b3910814a3",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Great question! For a lender that **funds commercial and specialty loans in-house**, the ideal platform needs to support the full loan lifecycle — from origination and underwriting all the way through closing, funding, and portfolio management — with flexibility for diverse loan types. Here are the top platforms that fit this profile:",
      "first_vendor_offset": 440
    },
    {
      "id": "bd63a93ade24294ba6c4",
      "record_id": "loan-origination-software|q10|Claude|2",
      "criterion_id": "closing_general",
      "engine": "Claude",
      "question_id": "q10",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 336,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "eb52b74280404fa31ade6672176fdcd568d537f9475345903e59e541f5cc8864",
      "answer_sha256": "b16c0bcb71122e2c3434351c984bfbcfe2c492ac2fb0b6d5a6a284b3910814a3",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Great question! For a lender that **funds commercial and specialty loans in-house**, the ideal platform needs to support the full loan lifecycle — from origination and underwriting all the way through closing, funding, and portfolio management — with flexibility for diverse loan types. Here are the top platforms that fit this profile:",
      "first_vendor_offset": 440
    },
    {
      "id": "f7bb7b3edd8bfa28106c",
      "record_id": "loan-origination-software|q10|Claude|2",
      "criterion_id": "portfolio_management",
      "engine": "Claude",
      "question_id": "q10",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 336,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "eb52b74280404fa31ade6672176fdcd568d537f9475345903e59e541f5cc8864",
      "answer_sha256": "b16c0bcb71122e2c3434351c984bfbcfe2c492ac2fb0b6d5a6a284b3910814a3",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Great question! For a lender that **funds commercial and specialty loans in-house**, the ideal platform needs to support the full loan lifecycle — from origination and underwriting all the way through closing, funding, and portfolio management — with flexibility for diverse loan types. Here are the top platforms that fit this profile:",
      "first_vendor_offset": 440
    },
    {
      "id": "ac34bf2b9135674498e9",
      "record_id": "loan-origination-software|q10|Claude|2",
      "criterion_id": "loan_types",
      "engine": "Claude",
      "question_id": "q10",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 336,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "eb52b74280404fa31ade6672176fdcd568d537f9475345903e59e541f5cc8864",
      "answer_sha256": "b16c0bcb71122e2c3434351c984bfbcfe2c492ac2fb0b6d5a6a284b3910814a3",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Great question! For a lender that **funds commercial and specialty loans in-house**, the ideal platform needs to support the full loan lifecycle — from origination and underwriting all the way through closing, funding, and portfolio management — with flexibility for diverse loan types. Here are the top platforms that fit this profile:",
      "first_vendor_offset": 440
    },
    {
      "id": "f26a5acb5b9a697ade11",
      "record_id": "loan-origination-software|q10|Claude|3",
      "criterion_id": "complex_structures",
      "engine": "Claude",
      "question_id": "q10",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 326,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "d66887171d267fb6127aac4f7668c84fd6fab98efd37ef57de7d2ca6bac04a38",
      "answer_sha256": "1cd6ab91334eac873d1fa7b48b5812f2abcdf0265deeea05bf8a2bdb43e5464b",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Great question! For a lender that **funds commercial and specialty loans in-house**, the right platform needs to support complex deal structures, flexible underwriting, end-to-end lifecycle management, and in-house funding workflows — not just borrower-facing intake. Here are the **top platforms** that best fit this profile:",
      "first_vendor_offset": 429
    },
    {
      "id": "994537aca2f100d340ca",
      "record_id": "loan-origination-software|q10|Claude|3",
      "criterion_id": "credit_config",
      "engine": "Claude",
      "question_id": "q10",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 326,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "d66887171d267fb6127aac4f7668c84fd6fab98efd37ef57de7d2ca6bac04a38",
      "answer_sha256": "1cd6ab91334eac873d1fa7b48b5812f2abcdf0265deeea05bf8a2bdb43e5464b",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Great question! For a lender that **funds commercial and specialty loans in-house**, the right platform needs to support complex deal structures, flexible underwriting, end-to-end lifecycle management, and in-house funding workflows — not just borrower-facing intake. Here are the **top platforms** that best fit this profile:",
      "first_vendor_offset": 429
    },
    {
      "id": "9833a8a8871561b5bf07",
      "record_id": "loan-origination-software|q10|Claude|3",
      "criterion_id": "underwrite",
      "engine": "Claude",
      "question_id": "q10",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 326,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "d66887171d267fb6127aac4f7668c84fd6fab98efd37ef57de7d2ca6bac04a38",
      "answer_sha256": "1cd6ab91334eac873d1fa7b48b5812f2abcdf0265deeea05bf8a2bdb43e5464b",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Great question! For a lender that **funds commercial and specialty loans in-house**, the right platform needs to support complex deal structures, flexible underwriting, end-to-end lifecycle management, and in-house funding workflows — not just borrower-facing intake. Here are the **top platforms** that best fit this profile:",
      "first_vendor_offset": 429
    },
    {
      "id": "1d47ad9d75e2696a80ae",
      "record_id": "loan-origination-software|q10|Claude|3",
      "criterion_id": "unified",
      "engine": "Claude",
      "question_id": "q10",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 326,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "d66887171d267fb6127aac4f7668c84fd6fab98efd37ef57de7d2ca6bac04a38",
      "answer_sha256": "1cd6ab91334eac873d1fa7b48b5812f2abcdf0265deeea05bf8a2bdb43e5464b",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Great question! For a lender that **funds commercial and specialty loans in-house**, the right platform needs to support complex deal structures, flexible underwriting, end-to-end lifecycle management, and in-house funding workflows — not just borrower-facing intake. Here are the **top platforms** that best fit this profile:",
      "first_vendor_offset": 429
    },
    {
      "id": "383ec68c420028f74ab0",
      "record_id": "loan-origination-software|q10|Claude|3",
      "criterion_id": "funding_general",
      "engine": "Claude",
      "question_id": "q10",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 326,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "d66887171d267fb6127aac4f7668c84fd6fab98efd37ef57de7d2ca6bac04a38",
      "answer_sha256": "1cd6ab91334eac873d1fa7b48b5812f2abcdf0265deeea05bf8a2bdb43e5464b",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Great question! For a lender that **funds commercial and specialty loans in-house**, the right platform needs to support complex deal structures, flexible underwriting, end-to-end lifecycle management, and in-house funding workflows — not just borrower-facing intake. Here are the **top platforms** that best fit this profile:",
      "first_vendor_offset": 429
    },
    {
      "id": "bbe8a91673ab857d99e6",
      "record_id": "loan-origination-software|q10|Google AI Mode|2",
      "criterion_id": "workflow_config",
      "engine": "Google AI Mode",
      "question_id": "q10",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 345,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "d2c2a030f2fb7e31cf5dd8808a150ff88a1923776904d65bbc7e7587a9948b65",
      "answer_sha256": "6d2964e1c79b9412298ab118f266ec118868a9bb450aadbdff4da8cee1f0f00f",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "For a lender that funds commercial and specialty loans in-house (acting as a portfolio lender managing the asset lifecycle from application to internal servicing), you need a platform that offers deep configurability for non-standard credit structures, robust internal workflows, and seamless transition from origination to portfolio management.",
      "first_vendor_offset": 465
    },
    {
      "id": "d4942dc5a77e6e7c3dee",
      "record_id": "loan-origination-software|q10|Google AI Mode|2",
      "criterion_id": "complex_structures",
      "engine": "Google AI Mode",
      "question_id": "q10",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 345,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "d2c2a030f2fb7e31cf5dd8808a150ff88a1923776904d65bbc7e7587a9948b65",
      "answer_sha256": "6d2964e1c79b9412298ab118f266ec118868a9bb450aadbdff4da8cee1f0f00f",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "For a lender that funds commercial and specialty loans in-house (acting as a portfolio lender managing the asset lifecycle from application to internal servicing), you need a platform that offers deep configurability for non-standard credit structures, robust internal workflows, and seamless transition from origination to portfolio management.",
      "first_vendor_offset": 465
    },
    {
      "id": "886702593cfb9351e24f",
      "record_id": "loan-origination-software|q10|Google AI Mode|2",
      "criterion_id": "unified",
      "engine": "Google AI Mode",
      "question_id": "q10",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 345,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "d2c2a030f2fb7e31cf5dd8808a150ff88a1923776904d65bbc7e7587a9948b65",
      "answer_sha256": "6d2964e1c79b9412298ab118f266ec118868a9bb450aadbdff4da8cee1f0f00f",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "For a lender that funds commercial and specialty loans in-house (acting as a portfolio lender managing the asset lifecycle from application to internal servicing), you need a platform that offers deep configurability for non-standard credit structures, robust internal workflows, and seamless transition from origination to portfolio management.",
      "first_vendor_offset": 465
    },
    {
      "id": "f5ecc2e537915e68e288",
      "record_id": "loan-origination-software|q10|Google AI Mode|2",
      "criterion_id": "portfolio_management",
      "engine": "Google AI Mode",
      "question_id": "q10",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 345,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "d2c2a030f2fb7e31cf5dd8808a150ff88a1923776904d65bbc7e7587a9948b65",
      "answer_sha256": "6d2964e1c79b9412298ab118f266ec118868a9bb450aadbdff4da8cee1f0f00f",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "For a lender that funds commercial and specialty loans in-house (acting as a portfolio lender managing the asset lifecycle from application to internal servicing), you need a platform that offers deep configurability for non-standard credit structures, robust internal workflows, and seamless transition from origination to portfolio management.",
      "first_vendor_offset": 465
    },
    {
      "id": "30d1da56092a5d10a342",
      "record_id": "loan-origination-software|q10|Google AI Mode|3",
      "criterion_id": "unified",
      "engine": "Google AI Mode",
      "question_id": "q10",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 324,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "c2f326de3c0826510e878b922f677f3f1c7de161e4b3bcd3ef7b73637944c8cc",
      "answer_sha256": "329d113776c9b7c8ba8583e2c68bdd04babf2044dd4108f0b1cb9d0a41fd913d",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "For in-house commercial and specialty lenders (such as portfolio lenders, private credit funds, or specialized asset-based financiers) who control the entire funding lifecycle from application to portfolio management, you need an end-to-end, highly configurable platform rather than a rigid, consumer-packaged mortgage tool.",
      "first_vendor_offset": 378
    },
    {
      "id": "8dd9e31e1eafd62d0f97",
      "record_id": "loan-origination-software|q10|Google AI Mode|3",
      "criterion_id": "system_config",
      "engine": "Google AI Mode",
      "question_id": "q10",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 324,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "c2f326de3c0826510e878b922f677f3f1c7de161e4b3bcd3ef7b73637944c8cc",
      "answer_sha256": "329d113776c9b7c8ba8583e2c68bdd04babf2044dd4108f0b1cb9d0a41fd913d",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "For in-house commercial and specialty lenders (such as portfolio lenders, private credit funds, or specialized asset-based financiers) who control the entire funding lifecycle from application to portfolio management, you need an end-to-end, highly configurable platform rather than a rigid, consumer-packaged mortgage tool.",
      "first_vendor_offset": 378
    },
    {
      "id": "06b5e40fc4d653f0e644",
      "record_id": "loan-origination-software|q10|Google AI Overviews|1",
      "criterion_id": "underwrite",
      "engine": "Google AI Overviews",
      "question_id": "q10",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 287,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "fd9e6dc3fba1af67b8dd1f336c1b9d28e040b17ff49bca9e0248efd167447d83",
      "answer_sha256": "dc0e772a591cbb9478487aac38b302ac943647a49dfad3d2364b2719e9aebedb",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "For an in-house commercial and specialty lender, the ideal loan origination platform must balance complex commercial underwriting (like financial spreading, global cash flow, and collateral management) with high API configurability to support specialized, non-standard credit structures.",
      "first_vendor_offset": 601
    },
    {
      "id": "d962d98b2b3facaa6073",
      "record_id": "loan-origination-software|q10|Google AI Overviews|1",
      "criterion_id": "spreading",
      "engine": "Google AI Overviews",
      "question_id": "q10",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 287,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "fd9e6dc3fba1af67b8dd1f336c1b9d28e040b17ff49bca9e0248efd167447d83",
      "answer_sha256": "dc0e772a591cbb9478487aac38b302ac943647a49dfad3d2364b2719e9aebedb",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "For an in-house commercial and specialty lender, the ideal loan origination platform must balance complex commercial underwriting (like financial spreading, global cash flow, and collateral management) with high API configurability to support specialized, non-standard credit structures.",
      "first_vendor_offset": 601
    },
    {
      "id": "b83f676b9200e92fdffc",
      "record_id": "loan-origination-software|q10|Google AI Overviews|1",
      "criterion_id": "financial_spreading",
      "engine": "Google AI Overviews",
      "question_id": "q10",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 287,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "fd9e6dc3fba1af67b8dd1f336c1b9d28e040b17ff49bca9e0248efd167447d83",
      "answer_sha256": "dc0e772a591cbb9478487aac38b302ac943647a49dfad3d2364b2719e9aebedb",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "For an in-house commercial and specialty lender, the ideal loan origination platform must balance complex commercial underwriting (like financial spreading, global cash flow, and collateral management) with high API configurability to support specialized, non-standard credit structures.",
      "first_vendor_offset": 601
    },
    {
      "id": "47a084e0bf3be622d4c1",
      "record_id": "loan-origination-software|q10|Google AI Overviews|1",
      "criterion_id": "global_cashflow",
      "engine": "Google AI Overviews",
      "question_id": "q10",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 287,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "fd9e6dc3fba1af67b8dd1f336c1b9d28e040b17ff49bca9e0248efd167447d83",
      "answer_sha256": "dc0e772a591cbb9478487aac38b302ac943647a49dfad3d2364b2719e9aebedb",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "For an in-house commercial and specialty lender, the ideal loan origination platform must balance complex commercial underwriting (like financial spreading, global cash flow, and collateral management) with high API configurability to support specialized, non-standard credit structures.",
      "first_vendor_offset": 601
    },
    {
      "id": "ac45d2e2d2d58268abb8",
      "record_id": "loan-origination-software|q10|Google AI Overviews|1",
      "criterion_id": "collateral",
      "engine": "Google AI Overviews",
      "question_id": "q10",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 287,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "fd9e6dc3fba1af67b8dd1f336c1b9d28e040b17ff49bca9e0248efd167447d83",
      "answer_sha256": "dc0e772a591cbb9478487aac38b302ac943647a49dfad3d2364b2719e9aebedb",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "For an in-house commercial and specialty lender, the ideal loan origination platform must balance complex commercial underwriting (like financial spreading, global cash flow, and collateral management) with high API configurability to support specialized, non-standard credit structures.",
      "first_vendor_offset": 601
    },
    {
      "id": "787a17d581af1c455548",
      "record_id": "loan-origination-software|q10|Google AI Overviews|1",
      "criterion_id": "api_general",
      "engine": "Google AI Overviews",
      "question_id": "q10",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 287,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "fd9e6dc3fba1af67b8dd1f336c1b9d28e040b17ff49bca9e0248efd167447d83",
      "answer_sha256": "dc0e772a591cbb9478487aac38b302ac943647a49dfad3d2364b2719e9aebedb",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "For an in-house commercial and specialty lender, the ideal loan origination platform must balance complex commercial underwriting (like financial spreading, global cash flow, and collateral management) with high API configurability to support specialized, non-standard credit structures.",
      "first_vendor_offset": 601
    },
    {
      "id": "f8c6deb49e8ba0a54a50",
      "record_id": "loan-origination-software|q10|Google AI Overviews|1",
      "criterion_id": "credit_config",
      "engine": "Google AI Overviews",
      "question_id": "q10",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 287,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "fd9e6dc3fba1af67b8dd1f336c1b9d28e040b17ff49bca9e0248efd167447d83",
      "answer_sha256": "dc0e772a591cbb9478487aac38b302ac943647a49dfad3d2364b2719e9aebedb",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "For an in-house commercial and specialty lender, the ideal loan origination platform must balance complex commercial underwriting (like financial spreading, global cash flow, and collateral management) with high API configurability to support specialized, non-standard credit structures.",
      "first_vendor_offset": 601
    },
    {
      "id": "0bde7c6b857b85da3217",
      "record_id": "loan-origination-software|q10|Google AI Overviews|1",
      "criterion_id": "complex_structures",
      "engine": "Google AI Overviews",
      "question_id": "q10",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 287,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "fd9e6dc3fba1af67b8dd1f336c1b9d28e040b17ff49bca9e0248efd167447d83",
      "answer_sha256": "dc0e772a591cbb9478487aac38b302ac943647a49dfad3d2364b2719e9aebedb",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "For an in-house commercial and specialty lender, the ideal loan origination platform must balance complex commercial underwriting (like financial spreading, global cash flow, and collateral management) with high API configurability to support specialized, non-standard credit structures.",
      "first_vendor_offset": 601
    },
    {
      "id": "48595ff235ceda3c4e06",
      "record_id": "loan-origination-software|q10|Google AI Overviews|3",
      "criterion_id": "system_config",
      "engine": "Google AI Overviews",
      "question_id": "q10",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 314,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "6cf3de21474f80d619d89aaab96851795aadae7969e41a7a39f1b8320fa5f906",
      "answer_sha256": "9cb21ab6c2341c4cdf3797e85968278514b20e524c5654251a9f70a0180045b5",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "For an in-house commercial and specialty lender, the ideal loan origination platform must offer extreme configurability, complex corporate entity structures, and robust post-close tracking. Legacy mortgage or consumer platforms lack the specific features required for non-traditional and complex commercial assets.",
      "first_vendor_offset": 660
    },
    {
      "id": "f2ed50bf68a5fccae640",
      "record_id": "loan-origination-software|q10|Google AI Overviews|3",
      "criterion_id": "corporate_entities",
      "engine": "Google AI Overviews",
      "question_id": "q10",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 314,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "6cf3de21474f80d619d89aaab96851795aadae7969e41a7a39f1b8320fa5f906",
      "answer_sha256": "9cb21ab6c2341c4cdf3797e85968278514b20e524c5654251a9f70a0180045b5",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "For an in-house commercial and specialty lender, the ideal loan origination platform must offer extreme configurability, complex corporate entity structures, and robust post-close tracking. Legacy mortgage or consumer platforms lack the specific features required for non-traditional and complex commercial assets.",
      "first_vendor_offset": 660
    },
    {
      "id": "6cc299b6ea561ba25259",
      "record_id": "loan-origination-software|q10|Google AI Overviews|3",
      "criterion_id": "portfolio_management",
      "engine": "Google AI Overviews",
      "question_id": "q10",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 314,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "6cf3de21474f80d619d89aaab96851795aadae7969e41a7a39f1b8320fa5f906",
      "answer_sha256": "9cb21ab6c2341c4cdf3797e85968278514b20e524c5654251a9f70a0180045b5",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "For an in-house commercial and specialty lender, the ideal loan origination platform must offer extreme configurability, complex corporate entity structures, and robust post-close tracking. Legacy mortgage or consumer platforms lack the specific features required for non-traditional and complex commercial assets.",
      "first_vendor_offset": 660
    },
    {
      "id": "82a56484476812b1da6a",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "fit",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 260,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "fa4512588d744b2edbf29b32e0789c1c216ae0982ee9ce3ad0f5515b47d684b4",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "**Choose a loan origination system (LOS) around your lending workflow—not the longest feature list.** I’d prioritize product fit, reliable integrations, auditable decisions, and total cost, then require vendors to prove those capabilities using your scenarios.",
      "first_vendor_offset": 5780
    },
    {
      "id": "088ac67010bd7fb7bc44",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "integration_general",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 260,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "fa4512588d744b2edbf29b32e0789c1c216ae0982ee9ce3ad0f5515b47d684b4",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "**Choose a loan origination system (LOS) around your lending workflow—not the longest feature list.** I’d prioritize product fit, reliable integrations, auditable decisions, and total cost, then require vendors to prove those capabilities using your scenarios.",
      "first_vendor_offset": 5780
    },
    {
      "id": "5add77a921275eacdd70",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "decision_audit",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 260,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "fa4512588d744b2edbf29b32e0789c1c216ae0982ee9ce3ad0f5515b47d684b4",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "**Choose a loan origination system (LOS) around your lending workflow—not the longest feature list.** I’d prioritize product fit, reliable integrations, auditable decisions, and total cost, then require vendors to prove those capabilities using your scenarios.",
      "first_vendor_offset": 5780
    },
    {
      "id": "1198616ef37fdb8b3907",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "totalcost",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 260,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "fa4512588d744b2edbf29b32e0789c1c216ae0982ee9ce3ad0f5515b47d684b4",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "**Choose a loan origination system (LOS) around your lending workflow—not the longest feature list.** I’d prioritize product fit, reliable integrations, auditable decisions, and total cost, then require vendors to prove those capabilities using your scenarios.",
      "first_vendor_offset": 5780
    },
    {
      "id": "40b9540fda2de6cf9548",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "proof",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 260,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "fa4512588d744b2edbf29b32e0789c1c216ae0982ee9ce3ad0f5515b47d684b4",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "**Choose a loan origination system (LOS) around your lending workflow—not the longest feature list.** I’d prioritize product fit, reliable integrations, auditable decisions, and total cost, then require vendors to prove those capabilities using your scenarios.",
      "first_vendor_offset": 5780
    },
    {
      "id": "929795959dded1a4df69",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "fit",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 461,
      "end": 527,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "f3e72009849581e2e3fe4b862c2bf2cf07a66c14e5486329a1c9304a16dfebbc",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- Mortgage, consumer, auto, commercial, or small-business lending.",
      "first_vendor_offset": 5780
    },
    {
      "id": "28f1b5ff03df6fe0fa23",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "proof",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 461,
      "end": 527,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "f3e72009849581e2e3fe4b862c2bf2cf07a66c14e5486329a1c9304a16dfebbc",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- Mortgage, consumer, auto, commercial, or small-business lending.",
      "first_vendor_offset": 5780
    },
    {
      "id": "7c8907ab1b55c7585006",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "fit",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 528,
      "end": 595,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "2dda28318e8a42451d3750f9a7d581759e77f5f441646e816a492810238e52ca",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- Direct applications versus broker, dealer, or branch submissions.",
      "first_vendor_offset": 5780
    },
    {
      "id": "730d650ba5cc4f78b290",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "multi_channel",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 528,
      "end": 595,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "2dda28318e8a42451d3750f9a7d581759e77f5f441646e816a492810238e52ca",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- Direct applications versus broker, dealer, or branch submissions.",
      "first_vendor_offset": 5780
    },
    {
      "id": "f62216c5e854fe9de33d",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "proof",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 528,
      "end": 595,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "2dda28318e8a42451d3750f9a7d581759e77f5f441646e816a492810238e52ca",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- Direct applications versus broker, dealer, or branch submissions.",
      "first_vendor_offset": 5780
    },
    {
      "id": "6b51d0694db47c081cb7",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "borrowers_guarantors",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 596,
      "end": 670,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "2f5fd7a1a92848e466ea125da7bfcc19b06bd3d9532ab4d4cdc5166d65650005",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- Co-borrowers, guarantors, collateral, counteroffers, and manual reviews.",
      "first_vendor_offset": 5780
    },
    {
      "id": "4de870e10861c89ba64f",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "collateral",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 596,
      "end": 670,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "2f5fd7a1a92848e466ea125da7bfcc19b06bd3d9532ab4d4cdc5166d65650005",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- Co-borrowers, guarantors, collateral, counteroffers, and manual reviews.",
      "first_vendor_offset": 5780
    },
    {
      "id": "abaee2a229ec2689c2db",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "exception_handling",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 596,
      "end": 670,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "2f5fd7a1a92848e466ea125da7bfcc19b06bd3d9532ab4d4cdc5166d65650005",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- Co-borrowers, guarantors, collateral, counteroffers, and manual reviews.",
      "first_vendor_offset": 5780
    },
    {
      "id": "57043eb8aaa36a30e45b",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "proof",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 596,
      "end": 670,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "2f5fd7a1a92848e466ea125da7bfcc19b06bd3d9532ab4d4cdc5166d65650005",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- Co-borrowers, guarantors, collateral, counteroffers, and manual reviews.",
      "first_vendor_offset": 5780
    },
    {
      "id": "c7a8e91614ccc5eaca29",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "unified",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 671,
      "end": 758,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "9901d2d7cc6bcc2f2cb6348703f8712a6ea65c9d740fabf459ff52609461794c",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- The full path from application through underwriting, documents, closing, and funding.",
      "first_vendor_offset": 5780
    },
    {
      "id": "51a94e95934a4392bdb5",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "intake",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 671,
      "end": 758,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "9901d2d7cc6bcc2f2cb6348703f8712a6ea65c9d740fabf459ff52609461794c",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- The full path from application through underwriting, documents, closing, and funding.",
      "first_vendor_offset": 5780
    },
    {
      "id": "981297a4dc444d62a042",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "underwrite",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 671,
      "end": 758,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "9901d2d7cc6bcc2f2cb6348703f8712a6ea65c9d740fabf459ff52609461794c",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- The full path from application through underwriting, documents, closing, and funding.",
      "first_vendor_offset": 5780
    },
    {
      "id": "3e7d2d94a4d5c8b364cb",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "document_handling",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 671,
      "end": 758,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "9901d2d7cc6bcc2f2cb6348703f8712a6ea65c9d740fabf459ff52609461794c",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- The full path from application through underwriting, documents, closing, and funding.",
      "first_vendor_offset": 5780
    },
    {
      "id": "3067ca0437a17f2a5c9b",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "funding",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 671,
      "end": 758,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "9901d2d7cc6bcc2f2cb6348703f8712a6ea65c9d740fabf459ff52609461794c",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- The full path from application through underwriting, documents, closing, and funding.",
      "first_vendor_offset": 5780
    },
    {
      "id": "0128a55456727b8fdd19",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "funding_general",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 671,
      "end": 758,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "9901d2d7cc6bcc2f2cb6348703f8712a6ea65c9d740fabf459ff52609461794c",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- The full path from application through underwriting, documents, closing, and funding.",
      "first_vendor_offset": 5780
    },
    {
      "id": "a7e1a76dcd1539bedad5",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "closing_general",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 671,
      "end": 758,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "9901d2d7cc6bcc2f2cb6348703f8712a6ea65c9d740fabf459ff52609461794c",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- The full path from application through underwriting, documents, closing, and funding.",
      "first_vendor_offset": 5780
    },
    {
      "id": "554bb93925ace4c0af6d",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "proof",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 671,
      "end": 758,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "9901d2d7cc6bcc2f2cb6348703f8712a6ea65c9d740fabf459ff52609461794c",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- The full path from application through underwriting, documents, closing, and funding.",
      "first_vendor_offset": 5780
    },
    {
      "id": "8e3084bef86bb6bf27e3",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "price",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 760,
      "end": 918,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "1909e2cf272fad9c215023ff698750fa6cb05f5f94fb2ac31146d013e406ecda",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "**Key question:** “What is available today, what requires configuration, and what requires custom development?” Make each vendor label its answers explicitly.",
      "first_vendor_offset": 5780
    },
    {
      "id": "cd8bbc6fd41274b08ab5",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "available",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 760,
      "end": 918,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "1909e2cf272fad9c215023ff698750fa6cb05f5f94fb2ac31146d013e406ecda",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "**Key question:** “What is available today, what requires configuration, and what requires custom development?” Make each vendor label its answers explicitly.",
      "first_vendor_offset": 5780
    },
    {
      "id": "6abd1130b6535a5f5765",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "workflow_config",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 959,
      "end": 1185,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "a73d730ab67ae7ca6082198010d1b2b5ad08be4fd31542fd8f48a8f6328ca810",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Look for configurable routing, document requests, approval limits, exception handling, and escalation queues. Have your own administrator demonstrate a policy change, including testing, approval, version history, and rollback.",
      "first_vendor_offset": 5780
    },
    {
      "id": "d17d8fa2ffdef37783d4",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "routing",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 959,
      "end": 1185,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "a73d730ab67ae7ca6082198010d1b2b5ad08be4fd31542fd8f48a8f6328ca810",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Look for configurable routing, document requests, approval limits, exception handling, and escalation queues. Have your own administrator demonstrate a policy change, including testing, approval, version history, and rollback.",
      "first_vendor_offset": 5780
    },
    {
      "id": "08a4f1ca5c285b556081",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "document_requests",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 959,
      "end": 1185,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "a73d730ab67ae7ca6082198010d1b2b5ad08be4fd31542fd8f48a8f6328ca810",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Look for configurable routing, document requests, approval limits, exception handling, and escalation queues. Have your own administrator demonstrate a policy change, including testing, approval, version history, and rollback.",
      "first_vendor_offset": 5780
    },
    {
      "id": "ce07ad6170ea7c928263",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "approval_authority",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 959,
      "end": 1185,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "a73d730ab67ae7ca6082198010d1b2b5ad08be4fd31542fd8f48a8f6328ca810",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Look for configurable routing, document requests, approval limits, exception handling, and escalation queues. Have your own administrator demonstrate a policy change, including testing, approval, version history, and rollback.",
      "first_vendor_offset": 5780
    },
    {
      "id": "52b3dd84d0ec8005947f",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "exception_handling",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 959,
      "end": 1185,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "a73d730ab67ae7ca6082198010d1b2b5ad08be4fd31542fd8f48a8f6328ca810",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Look for configurable routing, document requests, approval limits, exception handling, and escalation queues. Have your own administrator demonstrate a policy change, including testing, approval, version history, and rollback.",
      "first_vendor_offset": 5780
    },
    {
      "id": "cfcf230f894d880b0414",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "rulehistory",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 959,
      "end": 1185,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "a73d730ab67ae7ca6082198010d1b2b5ad08be4fd31542fd8f48a8f6328ca810",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Look for configurable routing, document requests, approval limits, exception handling, and escalation queues. Have your own administrator demonstrate a policy change, including testing, approval, version history, and rollback.",
      "first_vendor_offset": 5780
    },
    {
      "id": "7d19bee59f891e216cfa",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "proof",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 959,
      "end": 1185,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "a73d730ab67ae7ca6082198010d1b2b5ad08be4fd31542fd8f48a8f6328ca810",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Look for configurable routing, document requests, approval limits, exception handling, and escalation queues. Have your own administrator demonstrate a policy change, including testing, approval, version history, and rollback.",
      "first_vendor_offset": 5780
    },
    {
      "id": "f32607695f3a0e961328",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "decisionhistory",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1187,
      "end": 1582,
      "sources": [
        "https://www.consumerfinance.gov/rules-policy/regulations/1002/9/"
      ],
      "source_state": "attached source",
      "quote_sha256": "007feedecd74a5082a5ee5172d32e62450d0a2f8d8bf64e233f609a6a91f7094",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "For automated underwriting or AI, require the system to preserve the inputs, rules or model version, decision, overrides, and actual reasons. U.S. Regulation B requires specific principal reasons when providing an adverse-action explanation; a generic “failed internal policy” explanation is insufficient. ([consumerfinance.gov](https://www.consumerfinance.gov/rules-policy/regulations/1002/9/))",
      "first_vendor_offset": 5780
    },
    {
      "id": "a10fcc1643125fcd7061",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "adverse",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1187,
      "end": 1582,
      "sources": [
        "https://www.consumerfinance.gov/rules-policy/regulations/1002/9/"
      ],
      "source_state": "attached source",
      "quote_sha256": "007feedecd74a5082a5ee5172d32e62450d0a2f8d8bf64e233f609a6a91f7094",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "For automated underwriting or AI, require the system to preserve the inputs, rules or model version, decision, overrides, and actual reasons. U.S. Regulation B requires specific principal reasons when providing an adverse-action explanation; a generic “failed internal policy” explanation is insufficient. ([consumerfinance.gov](https://www.consumerfinance.gov/rules-policy/regulations/1002/9/))",
      "first_vendor_offset": 5780
    },
    {
      "id": "ee59b2817d142af9f1cc",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "human_override",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1187,
      "end": 1582,
      "sources": [
        "https://www.consumerfinance.gov/rules-policy/regulations/1002/9/"
      ],
      "source_state": "attached source",
      "quote_sha256": "007feedecd74a5082a5ee5172d32e62450d0a2f8d8bf64e233f609a6a91f7094",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "For automated underwriting or AI, require the system to preserve the inputs, rules or model version, decision, overrides, and actual reasons. U.S. Regulation B requires specific principal reasons when providing an adverse-action explanation; a generic “failed internal policy” explanation is insufficient. ([consumerfinance.gov](https://www.consumerfinance.gov/rules-policy/regulations/1002/9/))",
      "first_vendor_offset": 5780
    },
    {
      "id": "7b9e9235394940b6ab1a",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "notices",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1737,
      "end": 1792,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "26d6d60f7f8a5ea8d2571485df1d94ef07c0d7b029d72b53134cdd9db12e0d82",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- Required notices, disclosures, and deadline tracking.",
      "first_vendor_offset": 5780
    },
    {
      "id": "0cfde623c52625b6f7e2",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "compliance",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1737,
      "end": 1792,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "26d6d60f7f8a5ea8d2571485df1d94ef07c0d7b029d72b53134cdd9db12e0d82",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- Required notices, disclosures, and deadline tracking.",
      "first_vendor_offset": 5780
    },
    {
      "id": "da3e52803986db819525",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "proof",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1737,
      "end": 1792,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "26d6d60f7f8a5ea8d2571485df1d94ef07c0d7b029d72b53134cdd9db12e0d82",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- Required notices, disclosures, and deadline tracking.",
      "first_vendor_offset": 5780
    },
    {
      "id": "bbd2c1d91494762625be",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "retention",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1793,
      "end": 1853,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "4d6dfdbb2249cba8bb25fd4c442d77b2075f2583ce0ab6e771711ac922823a54",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- Retention rules and a reconstructable application history.",
      "first_vendor_offset": 5780
    },
    {
      "id": "0b1e955f887b134792eb",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "application_history",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1793,
      "end": 1853,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "4d6dfdbb2249cba8bb25fd4c442d77b2075f2583ce0ab6e771711ac922823a54",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- Retention rules and a reconstructable application history.",
      "first_vendor_offset": 5780
    },
    {
      "id": "64740eeb35d0644f4f90",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "proof",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1793,
      "end": 1853,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "4d6dfdbb2249cba8bb25fd4c442d77b2075f2583ce0ab6e771711ac922823a54",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- Retention rules and a reconstructable application history.",
      "first_vendor_offset": 5780
    },
    {
      "id": "dabc549f9bac2126989c",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "access_controls",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1854,
      "end": 1901,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "e42802cc5eb6c93eefb1da9508e322c1091e553b4e3d60eae948fce849330009",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- Access restrictions and documented approvals.",
      "first_vendor_offset": 5780
    },
    {
      "id": "850baa2ea8a55797b2e0",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "approval_records",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1854,
      "end": 1901,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "e42802cc5eb6c93eefb1da9508e322c1091e553b4e3d60eae948fce849330009",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- Access restrictions and documented approvals.",
      "first_vendor_offset": 5780
    },
    {
      "id": "136a904c4d74cf89f3d6",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "proof",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1854,
      "end": 1901,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "e42802cc5eb6c93eefb1da9508e322c1091e553b4e3d60eae948fce849330009",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- Access restrictions and documented approvals.",
      "first_vendor_offset": 5780
    },
    {
      "id": "74e365beb169b1c28ed7",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "export_general",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1902,
      "end": 1960,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "559ee6d0269928dd036b906378cd36ffae2d0f6313fd393a0a0b1165b19315ca",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- Data exports for examinations and fair-lending analysis.",
      "first_vendor_offset": 5780
    },
    {
      "id": "d27c851ab8fe8236ec0f",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "proof",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1902,
      "end": 1960,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "559ee6d0269928dd036b906378cd36ffae2d0f6313fd393a0a0b1165b19315ca",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- Data exports for examinations and fair-lending analysis.",
      "first_vendor_offset": 5780
    },
    {
      "id": "6d6b79c4f92108393612",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "regupdates",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1961,
      "end": 2028,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "612812e435528e91176600f45b8e68439630a15dcb56b1536e19661c4ea4c398",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- Responsibility and turnaround commitments for regulatory updates.",
      "first_vendor_offset": 5780
    },
    {
      "id": "6f174372e5d4a815d9d7",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "proof",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1961,
      "end": 2028,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "612812e435528e91176600f45b8e68439630a15dcb56b1536e19661c4ea4c398",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- Responsibility and turnaround commitments for regulatory updates.",
      "first_vendor_offset": 5780
    },
    {
      "id": "59b34c028455c3b351c7",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "bureau_connections",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2479,
      "end": 2544,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "7750a712eae268217ea72ab5a20ade92ffc3a6c015c3d0e3711d5988094dd905",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- Credit bureaus, identity/fraud checks, and income verification.",
      "first_vendor_offset": 5780
    },
    {
      "id": "79ae08e7421396d651aa",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "verification_connections",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2479,
      "end": 2544,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "7750a712eae268217ea72ab5a20ade92ffc3a6c015c3d0e3711d5988094dd905",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- Credit bureaus, identity/fraud checks, and income verification.",
      "first_vendor_offset": 5780
    },
    {
      "id": "7add4af3e80b62af0184",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "integrationproof",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2479,
      "end": 2544,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "7750a712eae268217ea72ab5a20ade92ffc3a6c015c3d0e3711d5988094dd905",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- Credit bureaus, identity/fraud checks, and income verification.",
      "first_vendor_offset": 5780
    },
    {
      "id": "be27d1187809e670f2dd",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "business_connections",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2545,
      "end": 2589,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "e63663246a565db940d21d5013fa01eed3dc57d8edcf75df25a85a6b341bdd91",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- CRM, document generation, and e-signature.",
      "first_vendor_offset": 5780
    },
    {
      "id": "e0279eb304483be502c9",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "integrationproof",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2545,
      "end": 2589,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "e63663246a565db940d21d5013fa01eed3dc57d8edcf75df25a85a6b341bdd91",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- CRM, document generation, and e-signature.",
      "first_vendor_offset": 5780
    },
    {
      "id": "75a523e5cb14bb302676",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "core_connections",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2590,
      "end": 2642,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "32cc5bda9fee746741adbc89cf13496419b887027a6640d2bfab4df7fc7ba307",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- Core banking, servicing, payments, and accounting.",
      "first_vendor_offset": 5780
    },
    {
      "id": "adbefc58fcea8f9068ea",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "servicing_connections",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2590,
      "end": 2642,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "32cc5bda9fee746741adbc89cf13496419b887027a6640d2bfab4df7fc7ba307",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- Core banking, servicing, payments, and accounting.",
      "first_vendor_offset": 5780
    },
    {
      "id": "f2ce7100409d9dd11ba7",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "business_connections",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2590,
      "end": 2642,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "32cc5bda9fee746741adbc89cf13496419b887027a6640d2bfab4df7fc7ba307",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- Core banking, servicing, payments, and accounting.",
      "first_vendor_offset": 5780
    },
    {
      "id": "e353ba727ca726a9ab77",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "integrationproof",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2590,
      "end": 2642,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "32cc5bda9fee746741adbc89cf13496419b887027a6640d2bfab4df7fc7ba307",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- Core banking, servicing, payments, and accounting.",
      "first_vendor_offset": 5780
    },
    {
      "id": "d5395633d56f78182dbb",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "integrationowner",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2644,
      "end": 2883,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "0522e88ad98eaccb7dd8a09f5774a0d78fbe0b2ceadc3fb4d1f6267563b4411b",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Ask who maintains each connection, what it costs, how errors are reconciled, and whether data flows both ways. Request API documentation and a test environment. Also test a complete export of application data, documents, and audit history.",
      "first_vendor_offset": 5780
    },
    {
      "id": "b0621c5a6d83165e641f",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "integration_cost",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2644,
      "end": 2883,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "0522e88ad98eaccb7dd8a09f5774a0d78fbe0b2ceadc3fb4d1f6267563b4411b",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Ask who maintains each connection, what it costs, how errors are reconciled, and whether data flows both ways. Request API documentation and a test environment. Also test a complete export of application data, documents, and audit history.",
      "first_vendor_offset": 5780
    },
    {
      "id": "1a71498b9d579c732642",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "failure_handling",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2644,
      "end": 2883,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "0522e88ad98eaccb7dd8a09f5774a0d78fbe0b2ceadc3fb4d1f6267563b4411b",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Ask who maintains each connection, what it costs, how errors are reconciled, and whether data flows both ways. Request API documentation and a test environment. Also test a complete export of application data, documents, and audit history.",
      "first_vendor_offset": 5780
    },
    {
      "id": "baf118fc911b0c28f7b3",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "sync",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2644,
      "end": 2883,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "0522e88ad98eaccb7dd8a09f5774a0d78fbe0b2ceadc3fb4d1f6267563b4411b",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Ask who maintains each connection, what it costs, how errors are reconciled, and whether data flows both ways. Request API documentation and a test environment. Also test a complete export of application data, documents, and audit history.",
      "first_vendor_offset": 5780
    },
    {
      "id": "d61642f8f5ba4a776874",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "api_documentation",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2644,
      "end": 2883,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "0522e88ad98eaccb7dd8a09f5774a0d78fbe0b2ceadc3fb4d1f6267563b4411b",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Ask who maintains each connection, what it costs, how errors are reconciled, and whether data flows both ways. Request API documentation and a test environment. Also test a complete export of application data, documents, and audit history.",
      "first_vendor_offset": 5780
    },
    {
      "id": "58adc24c1639f27cabcd",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "test_environment",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2644,
      "end": 2883,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "0522e88ad98eaccb7dd8a09f5774a0d78fbe0b2ceadc3fb4d1f6267563b4411b",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Ask who maintains each connection, what it costs, how errors are reconciled, and whether data flows both ways. Request API documentation and a test environment. Also test a complete export of application data, documents, and audit history.",
      "first_vendor_offset": 5780
    },
    {
      "id": "cdf88803f8ff77aae297",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "export",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2644,
      "end": 2883,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "0522e88ad98eaccb7dd8a09f5774a0d78fbe0b2ceadc3fb4d1f6267563b4411b",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Ask who maintains each connection, what it costs, how errors are reconciled, and whether data flows both ways. Request API documentation and a test environment. Also test a complete export of application data, documents, and audit history.",
      "first_vendor_offset": 5780
    },
    {
      "id": "3f0c9e6719da624b47df",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "proof",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2644,
      "end": 2883,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "0522e88ad98eaccb7dd8a09f5774a0d78fbe0b2ceadc3fb4d1f6267563b4411b",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Ask who maintains each connection, what it costs, how errors are reconciled, and whether data flows both ways. Request API documentation and a test environment. Also test a complete export of application data, documents, and audit history.",
      "first_vendor_offset": 5780
    },
    {
      "id": "e562515e33b709bbb8fa",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "encrypt",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2915,
      "end": 3293,
      "sources": [
        "https://www.ftc.gov/business-guidance/resources/ftc-safeguards-rule-what-your-business-needs-know"
      ],
      "source_state": "attached source",
      "quote_sha256": "1eb3509eeb6921ec94c82967b43a846026eee65f5120f4213a22e23bcc3b474c",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Ask your security team to review encryption, multifactor authentication, role-based access, activity logs, security testing, incident procedures, and subcontractors. These align with safeguards emphasized by the FTC for financial institutions within its jurisdiction. ([ftc.gov](https://www.ftc.gov/business-guidance/resources/ftc-safeguards-rule-what-your-business-needs-know))",
      "first_vendor_offset": 5780
    },
    {
      "id": "cbd836333e5865ac5065",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "mfa",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2915,
      "end": 3293,
      "sources": [
        "https://www.ftc.gov/business-guidance/resources/ftc-safeguards-rule-what-your-business-needs-know"
      ],
      "source_state": "attached source",
      "quote_sha256": "1eb3509eeb6921ec94c82967b43a846026eee65f5120f4213a22e23bcc3b474c",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Ask your security team to review encryption, multifactor authentication, role-based access, activity logs, security testing, incident procedures, and subcontractors. These align with safeguards emphasized by the FTC for financial institutions within its jurisdiction. ([ftc.gov](https://www.ftc.gov/business-guidance/resources/ftc-safeguards-rule-what-your-business-needs-know))",
      "first_vendor_offset": 5780
    },
    {
      "id": "399aea66b68bb7820ba0",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "permissions",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2915,
      "end": 3293,
      "sources": [
        "https://www.ftc.gov/business-guidance/resources/ftc-safeguards-rule-what-your-business-needs-know"
      ],
      "source_state": "attached source",
      "quote_sha256": "1eb3509eeb6921ec94c82967b43a846026eee65f5120f4213a22e23bcc3b474c",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Ask your security team to review encryption, multifactor authentication, role-based access, activity logs, security testing, incident procedures, and subcontractors. These align with safeguards emphasized by the FTC for financial institutions within its jurisdiction. ([ftc.gov](https://www.ftc.gov/business-guidance/resources/ftc-safeguards-rule-what-your-business-needs-know))",
      "first_vendor_offset": 5780
    },
    {
      "id": "839a9255e10b084361d8",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "activity_logs",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2915,
      "end": 3293,
      "sources": [
        "https://www.ftc.gov/business-guidance/resources/ftc-safeguards-rule-what-your-business-needs-know"
      ],
      "source_state": "attached source",
      "quote_sha256": "1eb3509eeb6921ec94c82967b43a846026eee65f5120f4213a22e23bcc3b474c",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Ask your security team to review encryption, multifactor authentication, role-based access, activity logs, security testing, incident procedures, and subcontractors. These align with safeguards emphasized by the FTC for financial institutions within its jurisdiction. ([ftc.gov](https://www.ftc.gov/business-guidance/resources/ftc-safeguards-rule-what-your-business-needs-know))",
      "first_vendor_offset": 5780
    },
    {
      "id": "5ac7274c905487dac134",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "securitytest",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2915,
      "end": 3293,
      "sources": [
        "https://www.ftc.gov/business-guidance/resources/ftc-safeguards-rule-what-your-business-needs-know"
      ],
      "source_state": "attached source",
      "quote_sha256": "1eb3509eeb6921ec94c82967b43a846026eee65f5120f4213a22e23bcc3b474c",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Ask your security team to review encryption, multifactor authentication, role-based access, activity logs, security testing, incident procedures, and subcontractors. These align with safeguards emphasized by the FTC for financial institutions within its jurisdiction. ([ftc.gov](https://www.ftc.gov/business-guidance/resources/ftc-safeguards-rule-what-your-business-needs-know))",
      "first_vendor_offset": 5780
    },
    {
      "id": "33ca2b41723a0b29b0c0",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "incident_response",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2915,
      "end": 3293,
      "sources": [
        "https://www.ftc.gov/business-guidance/resources/ftc-safeguards-rule-what-your-business-needs-know"
      ],
      "source_state": "attached source",
      "quote_sha256": "1eb3509eeb6921ec94c82967b43a846026eee65f5120f4213a22e23bcc3b474c",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Ask your security team to review encryption, multifactor authentication, role-based access, activity logs, security testing, incident procedures, and subcontractors. These align with safeguards emphasized by the FTC for financial institutions within its jurisdiction. ([ftc.gov](https://www.ftc.gov/business-guidance/resources/ftc-safeguards-rule-what-your-business-needs-know))",
      "first_vendor_offset": 5780
    },
    {
      "id": "74822fc62302973e0844",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "provider_oversight",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2915,
      "end": 3293,
      "sources": [
        "https://www.ftc.gov/business-guidance/resources/ftc-safeguards-rule-what-your-business-needs-know"
      ],
      "source_state": "attached source",
      "quote_sha256": "1eb3509eeb6921ec94c82967b43a846026eee65f5120f4213a22e23bcc3b474c",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Ask your security team to review encryption, multifactor authentication, role-based access, activity logs, security testing, incident procedures, and subcontractors. These align with safeguards emphasized by the FTC for financial institutions within its jurisdiction. ([ftc.gov](https://www.ftc.gov/business-guidance/resources/ftc-safeguards-rule-what-your-business-needs-know))",
      "first_vendor_offset": 5780
    },
    {
      "id": "1bae43576a85958202b9",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "securityproof",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3328,
      "end": 3415,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "29e566f1c709f026a73b831b01b71e145dde36faf613e778a80ee4c0546c4160",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- Independent assurance reports, such as SOC 2 Type II, including scope and exceptions.",
      "first_vendor_offset": 5780
    },
    {
      "id": "4e47ab14eb67ba2c6266",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "backup",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3416,
      "end": 3491,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "d25e20942f8a0aacbdc54fddb94074e7a5de2fcb20e5d86b30956aa00890d424",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- Tested disaster recovery, with clear recovery-time and data-loss targets.",
      "first_vendor_offset": 5780
    },
    {
      "id": "4da897757ac48a05c5f5",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "recoverytest",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3416,
      "end": 3491,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "d25e20942f8a0aacbdc54fddb94074e7a5de2fcb20e5d86b30956aa00890d424",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- Tested disaster recovery, with clear recovery-time and data-loss targets.",
      "first_vendor_offset": 5780
    },
    {
      "id": "c4ae5831cbb117f730fb",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "rto",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3416,
      "end": 3491,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "d25e20942f8a0aacbdc54fddb94074e7a5de2fcb20e5d86b30956aa00890d424",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- Tested disaster recovery, with clear recovery-time and data-loss targets.",
      "first_vendor_offset": 5780
    },
    {
      "id": "7266e4eb581e4b6264e4",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "rpo",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3416,
      "end": 3491,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "d25e20942f8a0aacbdc54fddb94074e7a5de2fcb20e5d86b30956aa00890d424",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- Tested disaster recovery, with clear recovery-time and data-loss targets.",
      "first_vendor_offset": 5780
    },
    {
      "id": "801d86ef0342521ef948",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "uptime_history",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3492,
      "end": 3585,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "70351e6ec27b830523f190e807ffef70fe007482b0804cdf04dfc2ae8169b502",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- Uptime history, peak-volume performance, and contractual incident-notification commitments.",
      "first_vendor_offset": 5780
    },
    {
      "id": "a2511dbe07d273d83691",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "performance",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3492,
      "end": 3585,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "70351e6ec27b830523f190e807ffef70fe007482b0804cdf04dfc2ae8169b502",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- Uptime history, peak-volume performance, and contractual incident-notification commitments.",
      "first_vendor_offset": 5780
    },
    {
      "id": "950898c523960deba306",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "incident_notification",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3492,
      "end": 3585,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "70351e6ec27b830523f190e807ffef70fe007482b0804cdf04dfc2ae8169b502",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- Uptime history, peak-volume performance, and contractual incident-notification commitments.",
      "first_vendor_offset": 5780
    },
    {
      "id": "10419a515cd43cd9f1a9",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "vendor_viability",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3587,
      "end": 3798,
      "sources": [
        "https://www.fdic.gov/sites/default/files/2024-03/pr21075a.pdf?utm_source=openai"
      ],
      "source_state": "attached source",
      "quote_sha256": "c359a869632aa81de59125365ed69992dff605e8f9ee709d397292d6044cde21",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Assess resilience and vendor viability as part of due diligence, rather than treating them as implementation details. ([fdic.gov](https://www.fdic.gov/sites/default/files/2024-03/pr21075a.pdf?utm_source=openai))",
      "first_vendor_offset": 5780
    },
    {
      "id": "03e1e8bfd48eb4fdd891",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "mobile_apply",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3835,
      "end": 4029,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "7e64511ae7eaa56e3ea61ca1312a3f1b1d58d0daba12a51282330c7aa9889236",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Have borrowers or representative testers complete a mobile application, upload documents, resume later, and check status. Have processors and underwriters handle incomplete files and exceptions.",
      "first_vendor_offset": 5780
    },
    {
      "id": "e1455b71288ea2773e6e",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "intake",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3835,
      "end": 4029,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "7e64511ae7eaa56e3ea61ca1312a3f1b1d58d0daba12a51282330c7aa9889236",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Have borrowers or representative testers complete a mobile application, upload documents, resume later, and check status. Have processors and underwriters handle incomplete files and exceptions.",
      "first_vendor_offset": 5780
    },
    {
      "id": "efaa508d19c60255dc1e",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "upload",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3835,
      "end": 4029,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "7e64511ae7eaa56e3ea61ca1312a3f1b1d58d0daba12a51282330c7aa9889236",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Have borrowers or representative testers complete a mobile application, upload documents, resume later, and check status. Have processors and underwriters handle incomplete files and exceptions.",
      "first_vendor_offset": 5780
    },
    {
      "id": "4f52743651b23e9a15bc",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "resume",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3835,
      "end": 4029,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "7e64511ae7eaa56e3ea61ca1312a3f1b1d58d0daba12a51282330c7aa9889236",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Have borrowers or representative testers complete a mobile application, upload documents, resume later, and check status. Have processors and underwriters handle incomplete files and exceptions.",
      "first_vendor_offset": 5780
    },
    {
      "id": "fbd5a9824f7d4eefdf08",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "status",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3835,
      "end": 4029,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "7e64511ae7eaa56e3ea61ca1312a3f1b1d58d0daba12a51282330c7aa9889236",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Have borrowers or representative testers complete a mobile application, upload documents, resume later, and check status. Have processors and underwriters handle incomplete files and exceptions.",
      "first_vendor_offset": 5780
    },
    {
      "id": "e143227e350b52c36654",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "exception_handling",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3835,
      "end": 4029,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "7e64511ae7eaa56e3ea61ca1312a3f1b1d58d0daba12a51282330c7aa9889236",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Have borrowers or representative testers complete a mobile application, upload documents, resume later, and check status. Have processors and underwriters handle incomplete files and exceptions.",
      "first_vendor_offset": 5780
    },
    {
      "id": "b32a6ac925e74c4a63b4",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "usable",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3835,
      "end": 4029,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "7e64511ae7eaa56e3ea61ca1312a3f1b1d58d0daba12a51282330c7aa9889236",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Have borrowers or representative testers complete a mobile application, upload documents, resume later, and check status. Have processors and underwriters handle incomplete files and exceptions.",
      "first_vendor_offset": 5780
    },
    {
      "id": "e9334ce4dd2d48f50ba9",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "proof",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3835,
      "end": 4029,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "7e64511ae7eaa56e3ea61ca1312a3f1b1d58d0daba12a51282330c7aa9889236",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Have borrowers or representative testers complete a mobile application, upload documents, resume later, and check status. Have processors and underwriters handle incomplete files and exceptions.",
      "first_vendor_offset": 5780
    },
    {
      "id": "a143a62aabb6d5ded787",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "process_metrics",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 4031,
      "end": 4246,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "1b82d76ffcf34636ec6d5e8a5364274934d409f5c0fc44d2f64cf7334931fe65",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Measure **completion time, manual touches, duplicate entry, and errors**—not just whether the interface looks modern. Ask for reporting on application abandonment, time to decision, time to funding, and bottlenecks.",
      "first_vendor_offset": 5780
    },
    {
      "id": "7925354f0a029b92441a",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "operational_reporting",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 4031,
      "end": 4246,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "1b82d76ffcf34636ec6d5e8a5364274934d409f5c0fc44d2f64cf7334931fe65",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Measure **completion time, manual touches, duplicate entry, and errors**—not just whether the interface looks modern. Ask for reporting on application abandonment, time to decision, time to funding, and bottlenecks.",
      "first_vendor_offset": 5780
    },
    {
      "id": "69fcf8b8c770abfb6b9a",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "proof",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 4031,
      "end": 4246,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "1b82d76ffcf34636ec6d5e8a5364274934d409f5c0fc44d2f64cf7334931fe65",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Measure **completion time, manual touches, duplicate entry, and errors**—not just whether the interface looks modern. Ask for reporting on application abandonment, time to decision, time to funding, and bottlenecks.",
      "first_vendor_offset": 5780
    },
    {
      "id": "d17f32e1adfd47fd5ad8",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "migration",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 4314,
      "end": 4386,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "c0dfc842a071130112c10db3946d809717a1b5b84fab1f5778a2fd056c938567",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- A migration plan, named owners, dependencies, and acceptance criteria.",
      "first_vendor_offset": 5780
    },
    {
      "id": "192969875a932cf1ff3e",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "implementation_owner",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 4314,
      "end": 4386,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "c0dfc842a071130112c10db3946d809717a1b5b84fab1f5778a2fd056c938567",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- A migration plan, named owners, dependencies, and acceptance criteria.",
      "first_vendor_offset": 5780
    },
    {
      "id": "fb998221b7c4ee34f181",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "train",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 4387,
      "end": 4455,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "a0128f99ae1c2b4010023e22c813cbe802056c02160bd2b38b3fad16274dd562",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- Training and a realistic estimate of your internal staffing needs.",
      "first_vendor_offset": 5780
    },
    {
      "id": "3cc0c8716474a246cc3e",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "staff_time",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 4387,
      "end": 4455,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "a0128f99ae1c2b4010023e22c813cbe802056c02160bd2b38b3fad16274dd562",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- Training and a realistic estimate of your internal staffing needs.",
      "first_vendor_offset": 5780
    },
    {
      "id": "2ba18e5b22a9717d1105",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "support",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 4456,
      "end": 4521,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "cedd1f1e48dd8d591c34ad534133097a6da7f842fcfd42f8b7ac732234b89e50",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- Support hours, escalation procedures, and response commitments.",
      "first_vendor_offset": 5780
    },
    {
      "id": "50123257e8520974318a",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "support_hours",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 4456,
      "end": 4521,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "cedd1f1e48dd8d591c34ad534133097a6da7f842fcfd42f8b7ac732234b89e50",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- Support hours, escalation procedures, and response commitments.",
      "first_vendor_offset": 5780
    },
    {
      "id": "6d83c569423ce7da7c38",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "support_response",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 4456,
      "end": 4521,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "cedd1f1e48dd8d591c34ad534133097a6da7f842fcfd42f8b7ac732234b89e50",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- Support hours, escalation procedures, and response commitments.",
      "first_vendor_offset": 5780
    },
    {
      "id": "399922a07f707c642eb3",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "references",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 4522,
      "end": 4596,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "adcbb18fff8668b5dd0fb395d0c0786bc6b6f968fe1d85e2e0e6d50dbc95f1ff",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- References from lenders with similar products, volume, and integrations.",
      "first_vendor_offset": 5780
    },
    {
      "id": "bb71425442da0c4d0a45",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "proof",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 4598,
      "end": 4685,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "74826176bbf341161cbb4dc427fe953a13764dcfa5b77859593007192c982a2b",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "I’d make a successful pilot and agreed acceptance tests prerequisites for full rollout.",
      "first_vendor_offset": 5780
    },
    {
      "id": "832d3c4a5d7a999b59b3",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "totalcost",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 4719,
      "end": 4933,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "ce75f7e8946614f4d251df2f059176ef371a8ccf4039994f7f65d064ab006bfd",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Build a **three-to-five-year cost model** covering licensing, minimum commitments, usage charges, implementation, integrations, third-party data, migration, training, support, upgrades, and internal administration.",
      "first_vendor_offset": 5780
    },
    {
      "id": "16ef266247b5cff67668",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "data_ownership",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 4935,
      "end": 5279,
      "sources": [
        "https://www.fdic.gov/news/press-releases/2023/pr23047.html?utm_source=openai"
      ],
      "source_state": "attached source",
      "quote_sha256": "f8beb335dd454feae17a17ff09cd89b9ac08e6d4f4b3ab5f50c60580471d69b8",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Negotiate data ownership, export formats and fees, renewal increases, termination rights, and transition assistance. Contract negotiation, ongoing monitoring, and termination are all stages of the banking agencies’ third-party risk-management framework. ([fdic.gov](https://www.fdic.gov/news/press-releases/2023/pr23047.html?utm_source=openai))",
      "first_vendor_offset": 5780
    },
    {
      "id": "b20369a03747ec207ce5",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "export_terms",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 4935,
      "end": 5279,
      "sources": [
        "https://www.fdic.gov/news/press-releases/2023/pr23047.html?utm_source=openai"
      ],
      "source_state": "attached source",
      "quote_sha256": "f8beb335dd454feae17a17ff09cd89b9ac08e6d4f4b3ab5f50c60580471d69b8",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Negotiate data ownership, export formats and fees, renewal increases, termination rights, and transition assistance. Contract negotiation, ongoing monitoring, and termination are all stages of the banking agencies’ third-party risk-management framework. ([fdic.gov](https://www.fdic.gov/news/press-releases/2023/pr23047.html?utm_source=openai))",
      "first_vendor_offset": 5780
    },
    {
      "id": "92f747fc47c556403981",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "contract",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 4935,
      "end": 5279,
      "sources": [
        "https://www.fdic.gov/news/press-releases/2023/pr23047.html?utm_source=openai"
      ],
      "source_state": "attached source",
      "quote_sha256": "f8beb335dd454feae17a17ff09cd89b9ac08e6d4f4b3ab5f50c60580471d69b8",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Negotiate data ownership, export formats and fees, renewal increases, termination rights, and transition assistance. Contract negotiation, ongoing monitoring, and termination are all stages of the banking agencies’ third-party risk-management framework. ([fdic.gov](https://www.fdic.gov/news/press-releases/2023/pr23047.html?utm_source=openai))",
      "first_vendor_offset": 5780
    },
    {
      "id": "ad3855089ec4c8ba116b",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "compliance",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 5315,
      "end": 5590,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "67132add977ba128b7892d71440e14b6f2d6ccb6765f97ce506ca3e629549d33",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Set pass/fail requirements for compliance, security, critical integrations, and data portability. Then score the remaining vendors using the same scripted demonstration: a straightforward approval, an incomplete application, a decline, an exception, and a failed integration.",
      "first_vendor_offset": 5780
    },
    {
      "id": "b47180b8ad4d012a04f2",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "security_general",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 5315,
      "end": 5590,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "67132add977ba128b7892d71440e14b6f2d6ccb6765f97ce506ca3e629549d33",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Set pass/fail requirements for compliance, security, critical integrations, and data portability. Then score the remaining vendors using the same scripted demonstration: a straightforward approval, an incomplete application, a decline, an exception, and a failed integration.",
      "first_vendor_offset": 5780
    },
    {
      "id": "00b471d59822da997b6a",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "integration_general",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 5315,
      "end": 5590,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "67132add977ba128b7892d71440e14b6f2d6ccb6765f97ce506ca3e629549d33",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Set pass/fail requirements for compliance, security, critical integrations, and data portability. Then score the remaining vendors using the same scripted demonstration: a straightforward approval, an incomplete application, a decline, an exception, and a failed integration.",
      "first_vendor_offset": 5780
    },
    {
      "id": "68d538c906643062a756",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "export_general",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 5315,
      "end": 5590,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "67132add977ba128b7892d71440e14b6f2d6ccb6765f97ce506ca3e629549d33",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Set pass/fail requirements for compliance, security, critical integrations, and data portability. Then score the remaining vendors using the same scripted demonstration: a straightforward approval, an incomplete application, a decline, an exception, and a failed integration.",
      "first_vendor_offset": 5780
    },
    {
      "id": "078407d20fa9882b704b",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "proof",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 5315,
      "end": 5590,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "67132add977ba128b7892d71440e14b6f2d6ccb6765f97ce506ca3e629549d33",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Set pass/fail requirements for compliance, security, critical integrations, and data portability. Then score the remaining vendors using the same scripted demonstration: a straightforward approval, an incomplete application, a decline, an exception, and a failed integration.",
      "first_vendor_offset": 5780
    },
    {
      "id": "7c6842d291af0b30a6c9",
      "record_id": "loan-origination-software|q9|ChatGPT|1",
      "criterion_id": "available",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 5592,
      "end": 5645,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "a733a84fc6a52f247c2d603825f2bf62bfd54a6c953a53dcfbc6be742270f3ee",
      "answer_sha256": "80d914e1ee8d663ddc1b8f16e5db06dd61b994766f0c8e36329d0c56d22f2e73",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "**Buy demonstrated capability—not roadmap promises.**",
      "first_vendor_offset": 5780
    },
    {
      "id": "a4dcffa8c546bec93fbf",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "fit",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 232,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "98b83ec5751c8e2498e3bfe5aea94f604161892e7bae8fb3f7e15df714651d64",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "**Choose a loan origination system (LOS) based on how well it handles your real loans—not how impressive the demo looks.** I’d prioritize workflow fit, integrations, compliance controls, and total cost over the longest feature list.",
      "first_vendor_offset": 5316
    },
    {
      "id": "95fc2fc3cddc3b6beea1",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "integration_general",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 232,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "98b83ec5751c8e2498e3bfe5aea94f604161892e7bae8fb3f7e15df714651d64",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "**Choose a loan origination system (LOS) based on how well it handles your real loans—not how impressive the demo looks.** I’d prioritize workflow fit, integrations, compliance controls, and total cost over the longest feature list.",
      "first_vendor_offset": 5316
    },
    {
      "id": "d7c95999baa96eaa4183",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "compliance",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 232,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "98b83ec5751c8e2498e3bfe5aea94f604161892e7bae8fb3f7e15df714651d64",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "**Choose a loan origination system (LOS) based on how well it handles your real loans—not how impressive the demo looks.** I’d prioritize workflow fit, integrations, compliance controls, and total cost over the longest feature list.",
      "first_vendor_offset": 5316
    },
    {
      "id": "269b3feaa814a05f5a22",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "totalcost",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 232,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "98b83ec5751c8e2498e3bfe5aea94f604161892e7bae8fb3f7e15df714651d64",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "**Choose a loan origination system (LOS) based on how well it handles your real loans—not how impressive the demo looks.** I’d prioritize workflow fit, integrations, compliance controls, and total cost over the longest feature list.",
      "first_vendor_offset": 5316
    },
    {
      "id": "6bca700c41dc39c94a18",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "fit",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 396,
      "end": 473,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "625f5232c3a9669c0d553542b7ed7576d430248c914e81e70afab490010172a7",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- **Loan products:** mortgage, consumer, auto, commercial, or small-business.",
      "first_vendor_offset": 5316
    },
    {
      "id": "f96ae0fa93cdbc5b9537",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "proof",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 396,
      "end": 473,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "625f5232c3a9669c0d553542b7ed7576d430248c914e81e70afab490010172a7",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- **Loan products:** mortgage, consumer, auto, commercial, or small-business.",
      "first_vendor_offset": 5316
    },
    {
      "id": "facd94e96e69fcaab54e",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "fit",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 474,
      "end": 554,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "bb6a812bcb746c17933c354cdd5322609f1510f374d2a1013a207e3872ca7651",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- **Origination channels:** direct, branch, broker, dealer, or embedded lending.",
      "first_vendor_offset": 5316
    },
    {
      "id": "902e3e3edb6dd774aa9e",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "multi_channel",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 474,
      "end": 554,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "bb6a812bcb746c17933c354cdd5322609f1510f374d2a1013a207e3872ca7651",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- **Origination channels:** direct, branch, broker, dealer, or embedded lending.",
      "first_vendor_offset": 5316
    },
    {
      "id": "759dd07d6af3388804ce",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "proof",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 474,
      "end": 554,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "bb6a812bcb746c17933c354cdd5322609f1510f374d2a1013a207e3872ca7651",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- **Origination channels:** direct, branch, broker, dealer, or embedded lending.",
      "first_vendor_offset": 5316
    },
    {
      "id": "bc51bb9686765dfa3f14",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "entities",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 555,
      "end": 648,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "d33c578f25dfb1a368554c343812d4bd969f3ef333377d810661b00a51c26942",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- **Complex cases:** co-borrowers, guarantors, multiple entities, collateral, and exceptions.",
      "first_vendor_offset": 5316
    },
    {
      "id": "945f6a25df9c19a0bf07",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "collateral",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 555,
      "end": 648,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "d33c578f25dfb1a368554c343812d4bd969f3ef333377d810661b00a51c26942",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- **Complex cases:** co-borrowers, guarantors, multiple entities, collateral, and exceptions.",
      "first_vendor_offset": 5316
    },
    {
      "id": "b8606885307ea7337256",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "exception_handling",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 555,
      "end": 648,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "d33c578f25dfb1a368554c343812d4bd969f3ef333377d810661b00a51c26942",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- **Complex cases:** co-borrowers, guarantors, multiple entities, collateral, and exceptions.",
      "first_vendor_offset": 5316
    },
    {
      "id": "8ad6153edb04fdd88024",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "proof",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 555,
      "end": 648,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "d33c578f25dfb1a368554c343812d4bd969f3ef333377d810661b00a51c26942",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- **Complex cases:** co-borrowers, guarantors, multiple entities, collateral, and exceptions.",
      "first_vendor_offset": 5316
    },
    {
      "id": "92bcf4d81b21a2aae1bf",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "system_boundaries",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 649,
      "end": 786,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "eae3caadf62b06d1c4d7a624e2fc2956cdbbdaba5cd3f2087cbd6fbc3c0ccb2f",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- **System boundaries:** what happens inside the LOS versus separate application, underwriting, document, funding, and servicing systems.",
      "first_vendor_offset": 5316
    },
    {
      "id": "2eea947c3b26098b9b55",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "intake",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 649,
      "end": 786,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "eae3caadf62b06d1c4d7a624e2fc2956cdbbdaba5cd3f2087cbd6fbc3c0ccb2f",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- **System boundaries:** what happens inside the LOS versus separate application, underwriting, document, funding, and servicing systems.",
      "first_vendor_offset": 5316
    },
    {
      "id": "338370a2ca8fbc469e4d",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "underwrite",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 649,
      "end": 786,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "eae3caadf62b06d1c4d7a624e2fc2956cdbbdaba5cd3f2087cbd6fbc3c0ccb2f",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- **System boundaries:** what happens inside the LOS versus separate application, underwriting, document, funding, and servicing systems.",
      "first_vendor_offset": 5316
    },
    {
      "id": "352f5da73f92d1cf1f99",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "document_handling",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 649,
      "end": 786,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "eae3caadf62b06d1c4d7a624e2fc2956cdbbdaba5cd3f2087cbd6fbc3c0ccb2f",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- **System boundaries:** what happens inside the LOS versus separate application, underwriting, document, funding, and servicing systems.",
      "first_vendor_offset": 5316
    },
    {
      "id": "9f0d1272b3fa9636de47",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "funding_general",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 649,
      "end": 786,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "eae3caadf62b06d1c4d7a624e2fc2956cdbbdaba5cd3f2087cbd6fbc3c0ccb2f",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- **System boundaries:** what happens inside the LOS versus separate application, underwriting, document, funding, and servicing systems.",
      "first_vendor_offset": 5316
    },
    {
      "id": "d539f7e54aad386ae48b",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "loan_servicing",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 649,
      "end": 786,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "eae3caadf62b06d1c4d7a624e2fc2956cdbbdaba5cd3f2087cbd6fbc3c0ccb2f",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- **System boundaries:** what happens inside the LOS versus separate application, underwriting, document, funding, and servicing systems.",
      "first_vendor_offset": 5316
    },
    {
      "id": "c07fa316a3c161a61bf0",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "proof",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 649,
      "end": 786,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "eae3caadf62b06d1c4d7a624e2fc2956cdbbdaba5cd3f2087cbd6fbc3c0ccb2f",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- **System boundaries:** what happens inside the LOS versus separate application, underwriting, document, funding, and servicing systems.",
      "first_vendor_offset": 5316
    },
    {
      "id": "19f1dec5df50d93cb3da",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "price",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 788,
      "end": 911,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "b6843bb19c2106f36737e41e4e518a5d8001ef6deeadba49d572727ec98a08e4",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "**Key question:** “Which requirements are available today, which need configuration, and which require custom development?”",
      "first_vendor_offset": 5316
    },
    {
      "id": "ca7a2fdfaf47497e5e2f",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "available",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 788,
      "end": 911,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "b6843bb19c2106f36737e41e4e518a5d8001ef6deeadba49d572727ec98a08e4",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "**Key question:** “Which requirements are available today, which need configuration, and which require custom development?”",
      "first_vendor_offset": 5316
    },
    {
      "id": "5870b36b393272325577",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "credit_config",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 958,
      "end": 1157,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "e6e1f678d319a7afa7feec5cfae0121aa8ca09c08485a83bcd2213f58d0e86c1",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Look for configurable eligibility rules, pricing, approval authorities, document checklists, and exception queues. Ask your operations team—not just the vendor—to change a rule in a test environment.",
      "first_vendor_offset": 5316
    },
    {
      "id": "5309173f6f64ed1aa049",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "pricing",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 958,
      "end": 1157,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "e6e1f678d319a7afa7feec5cfae0121aa8ca09c08485a83bcd2213f58d0e86c1",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Look for configurable eligibility rules, pricing, approval authorities, document checklists, and exception queues. Ask your operations team—not just the vendor—to change a rule in a test environment.",
      "first_vendor_offset": 5316
    },
    {
      "id": "f6a8d494da4220389597",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "approval_authority",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 958,
      "end": 1157,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "e6e1f678d319a7afa7feec5cfae0121aa8ca09c08485a83bcd2213f58d0e86c1",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Look for configurable eligibility rules, pricing, approval authorities, document checklists, and exception queues. Ask your operations team—not just the vendor—to change a rule in a test environment.",
      "first_vendor_offset": 5316
    },
    {
      "id": "dd6fe552199d5a46b2fe",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "document_requests",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 958,
      "end": 1157,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "e6e1f678d319a7afa7feec5cfae0121aa8ca09c08485a83bcd2213f58d0e86c1",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Look for configurable eligibility rules, pricing, approval authorities, document checklists, and exception queues. Ask your operations team—not just the vendor—to change a rule in a test environment.",
      "first_vendor_offset": 5316
    },
    {
      "id": "de21f8c7e2ce5a05b893",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "exception_handling",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 958,
      "end": 1157,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "e6e1f678d319a7afa7feec5cfae0121aa8ca09c08485a83bcd2213f58d0e86c1",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Look for configurable eligibility rules, pricing, approval authorities, document checklists, and exception queues. Ask your operations team—not just the vendor—to change a rule in a test environment.",
      "first_vendor_offset": 5316
    },
    {
      "id": "5094372d624f8e15415f",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "proof",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 958,
      "end": 1157,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "e6e1f678d319a7afa7feec5cfae0121aa8ca09c08485a83bcd2213f58d0e86c1",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Look for configurable eligibility rules, pricing, approval authorities, document checklists, and exception queues. Ask your operations team—not just the vendor—to change a rule in a test environment.",
      "first_vendor_offset": 5316
    },
    {
      "id": "2735dfc9a62473d6f106",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "decision_trace",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1159,
      "end": 1571,
      "sources": [
        "https://www.consumerfinance.gov/rules-policy/regulations/1002/9/"
      ],
      "source_state": "attached source",
      "quote_sha256": "9720a1575d06f6a00661f49b68efaa1003e56af302fa91e7e8b522492d434143",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "For automated or AI-assisted decisions, require version history, human overrides, and traceable decision reasons. For applicable U.S. credit decisions, Regulation B requires specific principal reasons for adverse action; generic statements about internal policies or failure to achieve a qualifying score are insufficient. ([consumerfinance.gov](https://www.consumerfinance.gov/rules-policy/regulations/1002/9/))",
      "first_vendor_offset": 5316
    },
    {
      "id": "0d38faf25897f168ed7e",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "human_override",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1159,
      "end": 1571,
      "sources": [
        "https://www.consumerfinance.gov/rules-policy/regulations/1002/9/"
      ],
      "source_state": "attached source",
      "quote_sha256": "9720a1575d06f6a00661f49b68efaa1003e56af302fa91e7e8b522492d434143",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "For automated or AI-assisted decisions, require version history, human overrides, and traceable decision reasons. For applicable U.S. credit decisions, Regulation B requires specific principal reasons for adverse action; generic statements about internal policies or failure to achieve a qualifying score are insufficient. ([consumerfinance.gov](https://www.consumerfinance.gov/rules-policy/regulations/1002/9/))",
      "first_vendor_offset": 5316
    },
    {
      "id": "d5d4daa1054358e2b837",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "adverse",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1159,
      "end": 1571,
      "sources": [
        "https://www.consumerfinance.gov/rules-policy/regulations/1002/9/"
      ],
      "source_state": "attached source",
      "quote_sha256": "9720a1575d06f6a00661f49b68efaa1003e56af302fa91e7e8b522492d434143",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "For automated or AI-assisted decisions, require version history, human overrides, and traceable decision reasons. For applicable U.S. credit decisions, Regulation B requires specific principal reasons for adverse action; generic statements about internal policies or failure to achieve a qualifying score are insufficient. ([consumerfinance.gov](https://www.consumerfinance.gov/rules-policy/regulations/1002/9/))",
      "first_vendor_offset": 5316
    },
    {
      "id": "c84f2e5670cb13e5a712",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "bureau_connections",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1673,
      "end": 1718,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "ed1a024910a54007d80cba7d64bae0e6011681bd21ef1f250fd1523a19a85f86",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- Credit bureaus and identity/fraud services.",
      "first_vendor_offset": 5316
    },
    {
      "id": "fbb6de489b61fb773c01",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "verification_connections",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1673,
      "end": 1718,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "ed1a024910a54007d80cba7d64bae0e6011681bd21ef1f250fd1523a19a85f86",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- Credit bureaus and identity/fraud services.",
      "first_vendor_offset": 5316
    },
    {
      "id": "1bb3a9daaea529a4f14f",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "integrationproof",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1673,
      "end": 1718,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "ed1a024910a54007d80cba7d64bae0e6011681bd21ef1f250fd1523a19a85f86",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- Credit bureaus and identity/fraud services.",
      "first_vendor_offset": 5316
    },
    {
      "id": "d470a289f5ff5903866b",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "verification_connections",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1719,
      "end": 1764,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "83423606c15c8dc291fa1d66cf1d6defe10c2db9e8d7784cdd5068c8d96fc9d2",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- Income, employment, and asset verification.",
      "first_vendor_offset": 5316
    },
    {
      "id": "d5a07a2f2b4b27c51d6e",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "integrationproof",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1719,
      "end": 1764,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "83423606c15c8dc291fa1d66cf1d6defe10c2db9e8d7784cdd5068c8d96fc9d2",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- Income, employment, and asset verification.",
      "first_vendor_offset": 5316
    },
    {
      "id": "c35d7c938d175b7dadf4",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "business_connections",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1765,
      "end": 1809,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "e63663246a565db940d21d5013fa01eed3dc57d8edcf75df25a85a6b341bdd91",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- CRM, document generation, and e-signature.",
      "first_vendor_offset": 5316
    },
    {
      "id": "377fc2ddddbd4e7a526f",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "integrationproof",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1765,
      "end": 1809,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "e63663246a565db940d21d5013fa01eed3dc57d8edcf75df25a85a6b341bdd91",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- CRM, document generation, and e-signature.",
      "first_vendor_offset": 5316
    },
    {
      "id": "73365f78c33f0d3ad47f",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "core_connections",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1810,
      "end": 1861,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "d70d75e08b99fab1aa1bbe7d88bdf1892be4014c8fedd8fbf8f97bbc5b58319e",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- Core banking, funding, servicing, and accounting.",
      "first_vendor_offset": 5316
    },
    {
      "id": "9d56d57ab46d0eac34da",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "servicing_connections",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1810,
      "end": 1861,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "d70d75e08b99fab1aa1bbe7d88bdf1892be4014c8fedd8fbf8f97bbc5b58319e",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- Core banking, funding, servicing, and accounting.",
      "first_vendor_offset": 5316
    },
    {
      "id": "631ef41981a060bcfba4",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "business_connections",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1810,
      "end": 1861,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "d70d75e08b99fab1aa1bbe7d88bdf1892be4014c8fedd8fbf8f97bbc5b58319e",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- Core banking, funding, servicing, and accounting.",
      "first_vendor_offset": 5316
    },
    {
      "id": "ea0026b608eeae61adc1",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "integrationproof",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1810,
      "end": 1861,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "d70d75e08b99fab1aa1bbe7d88bdf1892be4014c8fedd8fbf8f97bbc5b58319e",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- Core banking, funding, servicing, and accounting.",
      "first_vendor_offset": 5316
    },
    {
      "id": "8b290014de4ff2b0afb2",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "data_tool_connections",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1862,
      "end": 1899,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "dae6f6583ba06e93e9f67062767fbe8afc774fbddeaaf953ad28c4598df0bbf7",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- Data warehouse and reporting tools.",
      "first_vendor_offset": 5316
    },
    {
      "id": "4314361193e5ed2bd9d2",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "integrationproof",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1862,
      "end": 1899,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "dae6f6583ba06e93e9f67062767fbe8afc774fbddeaaf953ad28c4598df0bbf7",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- Data warehouse and reporting tools.",
      "first_vendor_offset": 5316
    },
    {
      "id": "a76519ba29a022b92f40",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "integrationowner",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1901,
      "end": 2064,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "18f486315337b8a2d111cc0e200505a681a159fbdecbb7e72d6a70ef7c1badbc",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Ask who builds, maintains, and pays for each integration. Test failed requests, retries, duplicate records, and reconciliation—not just a successful data transfer.",
      "first_vendor_offset": 5316
    },
    {
      "id": "b522fb30fd6096926bbb",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "integration_cost",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1901,
      "end": 2064,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "18f486315337b8a2d111cc0e200505a681a159fbdecbb7e72d6a70ef7c1badbc",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Ask who builds, maintains, and pays for each integration. Test failed requests, retries, duplicate records, and reconciliation—not just a successful data transfer.",
      "first_vendor_offset": 5316
    },
    {
      "id": "54c73888aefe3a1d3314",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "integrationfailure",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1901,
      "end": 2064,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "18f486315337b8a2d111cc0e200505a681a159fbdecbb7e72d6a70ef7c1badbc",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Ask who builds, maintains, and pays for each integration. Test failed requests, retries, duplicate records, and reconciliation—not just a successful data transfer.",
      "first_vendor_offset": 5316
    },
    {
      "id": "6997b325c30396c55248",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "reconciliation",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1901,
      "end": 2064,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "18f486315337b8a2d111cc0e200505a681a159fbdecbb7e72d6a70ef7c1badbc",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Ask who builds, maintains, and pays for each integration. Test failed requests, retries, duplicate records, and reconciliation—not just a successful data transfer.",
      "first_vendor_offset": 5316
    },
    {
      "id": "7100274ccb415f8be963",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "proof",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1901,
      "end": 2064,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "18f486315337b8a2d111cc0e200505a681a159fbdecbb7e72d6a70ef7c1badbc",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Ask who builds, maintains, and pays for each integration. Test failed requests, retries, duplicate records, and reconciliation—not just a successful data transfer.",
      "first_vendor_offset": 5316
    },
    {
      "id": "d5f88060474276a0f806",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "activity_logs",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2101,
      "end": 2305,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "555d8c359724ec84d95abd5eb23b250d9dfa339b2db85481f86d31a9d05788a7",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Require a demonstration of application timestamps, notices, consent records, document versions, access history, and decision overrides. Have compliance map requirements to your products and jurisdictions.",
      "first_vendor_offset": 5316
    },
    {
      "id": "073e7670ee715de1e06d",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "disclosures",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2101,
      "end": 2305,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "555d8c359724ec84d95abd5eb23b250d9dfa339b2db85481f86d31a9d05788a7",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Require a demonstration of application timestamps, notices, consent records, document versions, access history, and decision overrides. Have compliance map requirements to your products and jurisdictions.",
      "first_vendor_offset": 5316
    },
    {
      "id": "fda8526eddd1a86fc79f",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "consent",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2101,
      "end": 2305,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "555d8c359724ec84d95abd5eb23b250d9dfa339b2db85481f86d31a9d05788a7",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Require a demonstration of application timestamps, notices, consent records, document versions, access history, and decision overrides. Have compliance map requirements to your products and jurisdictions.",
      "first_vendor_offset": 5316
    },
    {
      "id": "eb587f6447000d5a4008",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "document_versions",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2101,
      "end": 2305,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "555d8c359724ec84d95abd5eb23b250d9dfa339b2db85481f86d31a9d05788a7",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Require a demonstration of application timestamps, notices, consent records, document versions, access history, and decision overrides. Have compliance map requirements to your products and jurisdictions.",
      "first_vendor_offset": 5316
    },
    {
      "id": "d8b015bb624a5201b9b5",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "decision_audit",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2101,
      "end": 2305,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "555d8c359724ec84d95abd5eb23b250d9dfa339b2db85481f86d31a9d05788a7",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Require a demonstration of application timestamps, notices, consent records, document versions, access history, and decision overrides. Have compliance map requirements to your products and jurisdictions.",
      "first_vendor_offset": 5316
    },
    {
      "id": "cea426e4bdd47ae775d9",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "compliance",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2101,
      "end": 2305,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "555d8c359724ec84d95abd5eb23b250d9dfa339b2db85481f86d31a9d05788a7",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Require a demonstration of application timestamps, notices, consent records, document versions, access history, and decision overrides. Have compliance map requirements to your products and jurisdictions.",
      "first_vendor_offset": 5316
    },
    {
      "id": "440dd7867937f4dbd5d0",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "proof",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2101,
      "end": 2305,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "555d8c359724ec84d95abd5eb23b250d9dfa339b2db85481f86d31a9d05788a7",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Require a demonstration of application timestamps, notices, consent records, document versions, access history, and decision overrides. Have compliance map requirements to your products and jurisdictions.",
      "first_vendor_offset": 5316
    },
    {
      "id": "efd4daa09765625432b2",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "access_controls",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2684,
      "end": 3049,
      "sources": [
        "https://www.ftc.gov/business-guidance/resources/ftc-safeguards-rule-what-your-business-needs-know"
      ],
      "source_state": "attached source",
      "quote_sha256": "eb58c057b6257e7c64e7d747842cbf025b73fa72210b7c073b53f6ee90bcf89c",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Request evidence of access controls, multifactor authentication, encryption, security testing, incident response, and service-provider oversight. These are also central themes of the FTC Safeguards Rule for financial institutions within its jurisdiction. ([ftc.gov](https://www.ftc.gov/business-guidance/resources/ftc-safeguards-rule-what-your-business-needs-know))",
      "first_vendor_offset": 5316
    },
    {
      "id": "c6d6b0cca1b5d1d7bb70",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "mfa",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2684,
      "end": 3049,
      "sources": [
        "https://www.ftc.gov/business-guidance/resources/ftc-safeguards-rule-what-your-business-needs-know"
      ],
      "source_state": "attached source",
      "quote_sha256": "eb58c057b6257e7c64e7d747842cbf025b73fa72210b7c073b53f6ee90bcf89c",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Request evidence of access controls, multifactor authentication, encryption, security testing, incident response, and service-provider oversight. These are also central themes of the FTC Safeguards Rule for financial institutions within its jurisdiction. ([ftc.gov](https://www.ftc.gov/business-guidance/resources/ftc-safeguards-rule-what-your-business-needs-know))",
      "first_vendor_offset": 5316
    },
    {
      "id": "243a273c5088da6933dd",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "encrypt",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2684,
      "end": 3049,
      "sources": [
        "https://www.ftc.gov/business-guidance/resources/ftc-safeguards-rule-what-your-business-needs-know"
      ],
      "source_state": "attached source",
      "quote_sha256": "eb58c057b6257e7c64e7d747842cbf025b73fa72210b7c073b53f6ee90bcf89c",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Request evidence of access controls, multifactor authentication, encryption, security testing, incident response, and service-provider oversight. These are also central themes of the FTC Safeguards Rule for financial institutions within its jurisdiction. ([ftc.gov](https://www.ftc.gov/business-guidance/resources/ftc-safeguards-rule-what-your-business-needs-know))",
      "first_vendor_offset": 5316
    },
    {
      "id": "cbdf1ac855737ae2ab4b",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "securitytest",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2684,
      "end": 3049,
      "sources": [
        "https://www.ftc.gov/business-guidance/resources/ftc-safeguards-rule-what-your-business-needs-know"
      ],
      "source_state": "attached source",
      "quote_sha256": "eb58c057b6257e7c64e7d747842cbf025b73fa72210b7c073b53f6ee90bcf89c",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Request evidence of access controls, multifactor authentication, encryption, security testing, incident response, and service-provider oversight. These are also central themes of the FTC Safeguards Rule for financial institutions within its jurisdiction. ([ftc.gov](https://www.ftc.gov/business-guidance/resources/ftc-safeguards-rule-what-your-business-needs-know))",
      "first_vendor_offset": 5316
    },
    {
      "id": "0b8b427a1bf30386db81",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "incident_response",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2684,
      "end": 3049,
      "sources": [
        "https://www.ftc.gov/business-guidance/resources/ftc-safeguards-rule-what-your-business-needs-know"
      ],
      "source_state": "attached source",
      "quote_sha256": "eb58c057b6257e7c64e7d747842cbf025b73fa72210b7c073b53f6ee90bcf89c",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Request evidence of access controls, multifactor authentication, encryption, security testing, incident response, and service-provider oversight. These are also central themes of the FTC Safeguards Rule for financial institutions within its jurisdiction. ([ftc.gov](https://www.ftc.gov/business-guidance/resources/ftc-safeguards-rule-what-your-business-needs-know))",
      "first_vendor_offset": 5316
    },
    {
      "id": "90426a2ce2f4f0da10f9",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "provider_oversight",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2684,
      "end": 3049,
      "sources": [
        "https://www.ftc.gov/business-guidance/resources/ftc-safeguards-rule-what-your-business-needs-know"
      ],
      "source_state": "attached source",
      "quote_sha256": "eb58c057b6257e7c64e7d747842cbf025b73fa72210b7c073b53f6ee90bcf89c",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Request evidence of access controls, multifactor authentication, encryption, security testing, incident response, and service-provider oversight. These are also central themes of the FTC Safeguards Rule for financial institutions within its jurisdiction. ([ftc.gov](https://www.ftc.gov/business-guidance/resources/ftc-safeguards-rule-what-your-business-needs-know))",
      "first_vendor_offset": 5316
    },
    {
      "id": "7427607e4a4b915d4c51",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "security",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2684,
      "end": 3049,
      "sources": [
        "https://www.ftc.gov/business-guidance/resources/ftc-safeguards-rule-what-your-business-needs-know"
      ],
      "source_state": "attached source",
      "quote_sha256": "eb58c057b6257e7c64e7d747842cbf025b73fa72210b7c073b53f6ee90bcf89c",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Request evidence of access controls, multifactor authentication, encryption, security testing, incident response, and service-provider oversight. These are also central themes of the FTC Safeguards Rule for financial institutions within its jurisdiction. ([ftc.gov](https://www.ftc.gov/business-guidance/resources/ftc-safeguards-rule-what-your-business-needs-know))",
      "first_vendor_offset": 5316
    },
    {
      "id": "915ad41dd58462735e77",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "assurance_reports",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3072,
      "end": 3149,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "5e31d1be063bcc2aae549163f706ff2ea5b42c8556361bf327ee4f4594cfa622",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- Independent assurance reports, such as SOC 2 Type II, including exceptions.",
      "first_vendor_offset": 5316
    },
    {
      "id": "32ded870449ad56b284f",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "uptime",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3150,
      "end": 3210,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "5be33523a25fd3dcc8c422a9bce0e52f05e382680ef59dead5e52da597ddeb11",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- Actual uptime history and contractual service commitments.",
      "first_vendor_offset": 5316
    },
    {
      "id": "ef25600df67c647a9c78",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "recoverytest",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3211,
      "end": 3267,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "7d02f5bf589d63d3b5a169ea12f92fa1bbc638c7152b293506ac0fc374b7eac8",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- Tested recovery times and maximum potential data loss.",
      "first_vendor_offset": 5316
    },
    {
      "id": "c1629c8328c782f6a9d6",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "rto",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3211,
      "end": 3267,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "7d02f5bf589d63d3b5a169ea12f92fa1bbc638c7152b293506ac0fc374b7eac8",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- Tested recovery times and maximum potential data loss.",
      "first_vendor_offset": 5316
    },
    {
      "id": "327a1c1cba0c7e88bf30",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "rpo",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3211,
      "end": 3267,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "7d02f5bf589d63d3b5a169ea12f92fa1bbc638c7152b293506ac0fc374b7eac8",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- Tested recovery times and maximum potential data loss.",
      "first_vendor_offset": 5316
    },
    {
      "id": "34321801ae995cde4628",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "subcontractor_dependencies",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3268,
      "end": 3329,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "077b1746a7ac404f73a9db70b547607e8284dca9965df39d079962c6b9ba9965",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- Subcontractor dependencies and incident-notification terms.",
      "first_vendor_offset": 5316
    },
    {
      "id": "09d35e99d00c9f05bada",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "incident_notification",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3268,
      "end": 3329,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "077b1746a7ac404f73a9db70b547607e8284dca9965df39d079962c6b9ba9965",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- Subcontractor dependencies and incident-notification terms.",
      "first_vendor_offset": 5316
    },
    {
      "id": "df4c6aba8d40af1841d8",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "mobile_apply",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3370,
      "end": 3555,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "c135ff1cc15e2935e1dd10c8d9b60a0eaaf046c2be6112fb7c492617fc2aead8",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Test a mobile application, save-and-resume, document upload, status updates, and accessibility. Have processors and underwriters complete representative tasks without vendor assistance.",
      "first_vendor_offset": 5316
    },
    {
      "id": "266fdbb5afe57002c366",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "intake",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3370,
      "end": 3555,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "c135ff1cc15e2935e1dd10c8d9b60a0eaaf046c2be6112fb7c492617fc2aead8",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Test a mobile application, save-and-resume, document upload, status updates, and accessibility. Have processors and underwriters complete representative tasks without vendor assistance.",
      "first_vendor_offset": 5316
    },
    {
      "id": "79480c4d6abec0e9dee4",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "resume",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3370,
      "end": 3555,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "c135ff1cc15e2935e1dd10c8d9b60a0eaaf046c2be6112fb7c492617fc2aead8",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Test a mobile application, save-and-resume, document upload, status updates, and accessibility. Have processors and underwriters complete representative tasks without vendor assistance.",
      "first_vendor_offset": 5316
    },
    {
      "id": "38d68e6c1aab6646ba34",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "upload",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3370,
      "end": 3555,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "c135ff1cc15e2935e1dd10c8d9b60a0eaaf046c2be6112fb7c492617fc2aead8",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Test a mobile application, save-and-resume, document upload, status updates, and accessibility. Have processors and underwriters complete representative tasks without vendor assistance.",
      "first_vendor_offset": 5316
    },
    {
      "id": "097105070c18d238ec53",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "status",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3370,
      "end": 3555,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "c135ff1cc15e2935e1dd10c8d9b60a0eaaf046c2be6112fb7c492617fc2aead8",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Test a mobile application, save-and-resume, document upload, status updates, and accessibility. Have processors and underwriters complete representative tasks without vendor assistance.",
      "first_vendor_offset": 5316
    },
    {
      "id": "71917969a6835dc92bce",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "accessible",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3370,
      "end": 3555,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "c135ff1cc15e2935e1dd10c8d9b60a0eaaf046c2be6112fb7c492617fc2aead8",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Test a mobile application, save-and-resume, document upload, status updates, and accessibility. Have processors and underwriters complete representative tasks without vendor assistance.",
      "first_vendor_offset": 5316
    },
    {
      "id": "b5216d49031e62a36807",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "usable",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3370,
      "end": 3555,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "c135ff1cc15e2935e1dd10c8d9b60a0eaaf046c2be6112fb7c492617fc2aead8",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Test a mobile application, save-and-resume, document upload, status updates, and accessibility. Have processors and underwriters complete representative tasks without vendor assistance.",
      "first_vendor_offset": 5316
    },
    {
      "id": "ade6f893bdb1b42b40a6",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "proof",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3370,
      "end": 3555,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "c135ff1cc15e2935e1dd10c8d9b60a0eaaf046c2be6112fb7c492617fc2aead8",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Test a mobile application, save-and-resume, document upload, status updates, and accessibility. Have processors and underwriters complete representative tasks without vendor assistance.",
      "first_vendor_offset": 5316
    },
    {
      "id": "42442de10fa7f234ad4e",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "process_metrics",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3557,
      "end": 3666,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "90825badde72981d5abab748b3f847e9554d318421a95ae20a1972921b653d01",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Measure **completion time, manual touches, rekeying, and errors**, rather than relying only on user opinions.",
      "first_vendor_offset": 5316
    },
    {
      "id": "9d6f5bfb20fb04ffb92b",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "proof",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3557,
      "end": 3666,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "90825badde72981d5abab748b3f847e9554d318421a95ae20a1972921b653d01",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Measure **completion time, manual touches, rekeying, and errors**, rather than relying only on user opinions.",
      "first_vendor_offset": 5316
    },
    {
      "id": "020e6b8aabc75ce951cf",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "migration",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3709,
      "end": 3887,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "efc9e1cbe2264e1775da3c47830aca1dfe59c742d6e25255a1ff45df54b99ef1",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Ask for a written migration plan, named responsibilities, training, acceptance criteria, and escalation procedures. Speak with customers similar to you in product mix and volume.",
      "first_vendor_offset": 5316
    },
    {
      "id": "abf79dccb0dc0a3c9144",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "implementation_owner",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3709,
      "end": 3887,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "efc9e1cbe2264e1775da3c47830aca1dfe59c742d6e25255a1ff45df54b99ef1",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Ask for a written migration plan, named responsibilities, training, acceptance criteria, and escalation procedures. Speak with customers similar to you in product mix and volume.",
      "first_vendor_offset": 5316
    },
    {
      "id": "89493b13817289b8b337",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "train",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3709,
      "end": 3887,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "efc9e1cbe2264e1775da3c47830aca1dfe59c742d6e25255a1ff45df54b99ef1",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Ask for a written migration plan, named responsibilities, training, acceptance criteria, and escalation procedures. Speak with customers similar to you in product mix and volume.",
      "first_vendor_offset": 5316
    },
    {
      "id": "6504c31d7f51f483ae2e",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "support_escalation",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3709,
      "end": 3887,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "efc9e1cbe2264e1775da3c47830aca1dfe59c742d6e25255a1ff45df54b99ef1",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Ask for a written migration plan, named responsibilities, training, acceptance criteria, and escalation procedures. Speak with customers similar to you in product mix and volume.",
      "first_vendor_offset": 5316
    },
    {
      "id": "56cd240945cda1335458",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "references",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3709,
      "end": 3887,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "efc9e1cbe2264e1775da3c47830aca1dfe59c742d6e25255a1ff45df54b99ef1",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Ask for a written migration plan, named responsibilities, training, acceptance criteria, and escalation procedures. Speak with customers similar to you in product mix and volume.",
      "first_vendor_offset": 5316
    },
    {
      "id": "ce224be5c9b42fddd4bd",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "vendor_financial",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3889,
      "end": 4213,
      "sources": [
        "https://www.fdic.gov/news/press-releases/2023/pr23047.html?utm_source=openai"
      ],
      "source_state": "attached source",
      "quote_sha256": "49d2c6937b9337fc2a09faca5e64a0fdfedc38298d200c67f4004563e92148da",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Evaluate vendor financial condition and ongoing oversight—not just implementation capability. Banking regulators frame third-party risk management as a lifecycle spanning planning, selection, contracting, monitoring, and termination. ([fdic.gov](https://www.fdic.gov/news/press-releases/2023/pr23047.html?utm_source=openai))",
      "first_vendor_offset": 5316
    },
    {
      "id": "0d3ec3f96458ae0b94f3",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "vendor_oversight",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3889,
      "end": 4213,
      "sources": [
        "https://www.fdic.gov/news/press-releases/2023/pr23047.html?utm_source=openai"
      ],
      "source_state": "attached source",
      "quote_sha256": "49d2c6937b9337fc2a09faca5e64a0fdfedc38298d200c67f4004563e92148da",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Evaluate vendor financial condition and ongoing oversight—not just implementation capability. Banking regulators frame third-party risk management as a lifecycle spanning planning, selection, contracting, monitoring, and termination. ([fdic.gov](https://www.fdic.gov/news/press-releases/2023/pr23047.html?utm_source=openai))",
      "first_vendor_offset": 5316
    },
    {
      "id": "a4567860c4b16acd6539",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "totalcost",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 4254,
      "end": 4429,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "1dc6f8b277ca37a0bd8459893a4c93e70403a10c587e09a2d384711017137072",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Request a **three-to-five-year cost model** covering licenses, minimum volumes, transaction fees, integrations, migration, customization, support, and internal administration.",
      "first_vendor_offset": 5316
    },
    {
      "id": "9cb0406f2801dfc29cc9",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "data_ownership",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 4431,
      "end": 4785,
      "sources": [
        "https://www.fdic.gov/news/financial-institution-letters/2023/fil23029.html?utm_source=openai"
      ],
      "source_state": "attached source",
      "quote_sha256": "c3b0aec99ff061cf1425bb68d07574801364a809e260dbf7ff7d2d93be9551b6",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Negotiate data ownership, usable exports—including documents and audit histories—renewal increases, termination assistance, and exit charges. Contract negotiation and termination planning are explicit parts of regulatory third-party risk guidance. ([fdic.gov](https://www.fdic.gov/news/financial-institution-letters/2023/fil23029.html?utm_source=openai))",
      "first_vendor_offset": 5316
    },
    {
      "id": "097c8fa0986a9192f24d",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "export",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 4431,
      "end": 4785,
      "sources": [
        "https://www.fdic.gov/news/financial-institution-letters/2023/fil23029.html?utm_source=openai"
      ],
      "source_state": "attached source",
      "quote_sha256": "c3b0aec99ff061cf1425bb68d07574801364a809e260dbf7ff7d2d93be9551b6",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Negotiate data ownership, usable exports—including documents and audit histories—renewal increases, termination assistance, and exit charges. Contract negotiation and termination planning are explicit parts of regulatory third-party risk guidance. ([fdic.gov](https://www.fdic.gov/news/financial-institution-letters/2023/fil23029.html?utm_source=openai))",
      "first_vendor_offset": 5316
    },
    {
      "id": "16fcea61b9ebe0356167",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "contract",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 4431,
      "end": 4785,
      "sources": [
        "https://www.fdic.gov/news/financial-institution-letters/2023/fil23029.html?utm_source=openai"
      ],
      "source_state": "attached source",
      "quote_sha256": "c3b0aec99ff061cf1425bb68d07574801364a809e260dbf7ff7d2d93be9551b6",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Negotiate data ownership, usable exports—including documents and audit histories—renewal increases, termination assistance, and exit charges. Contract negotiation and termination planning are explicit parts of regulatory third-party risk guidance. ([fdic.gov](https://www.fdic.gov/news/financial-institution-letters/2023/fil23029.html?utm_source=openai))",
      "first_vendor_offset": 5316
    },
    {
      "id": "762b0f6a65694210a84a",
      "record_id": "loan-origination-software|q9|ChatGPT|2",
      "criterion_id": "proof",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 4823,
      "end": 5141,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "3493c171c297bdb11141e2a4395e422987a5c9473d675828ea2a4cc8367dbc40",
      "answer_sha256": "c9b0bc4b72eda6813af453f9a237f59cfd1febf355a09a284d0db75dbd2cf945",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Set nonnegotiable requirements first. Then run a paid or tightly scoped proof of concept using anonymized representative loans: a straightforward approval, a denial, an incomplete application, an exception, and an integration failure. Score vendors on demonstrated results, and put critical promises into the contract.",
      "first_vendor_offset": 5316
    },
    {
      "id": "59fdfc592dba71fee011",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "fit",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 234,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "c57d90fb4d2cf2a80b6ef519333f1f1fdb10ec9f4f3ff7adb81ccf8ed4029a8b",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "**Choose a loan origination system (LOS) based on how well it handles your actual loans—not how impressive the demo looks.** I’d prioritize workflow fit, compliance controls, integrations, and total cost over the longest feature list.",
      "first_vendor_offset": 5268
    },
    {
      "id": "2e13e882d566d103ea2e",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "compliance",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 234,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "c57d90fb4d2cf2a80b6ef519333f1f1fdb10ec9f4f3ff7adb81ccf8ed4029a8b",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "**Choose a loan origination system (LOS) based on how well it handles your actual loans—not how impressive the demo looks.** I’d prioritize workflow fit, compliance controls, integrations, and total cost over the longest feature list.",
      "first_vendor_offset": 5268
    },
    {
      "id": "b550d336b90013f4ee5e",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "integration_general",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 234,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "c57d90fb4d2cf2a80b6ef519333f1f1fdb10ec9f4f3ff7adb81ccf8ed4029a8b",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "**Choose a loan origination system (LOS) based on how well it handles your actual loans—not how impressive the demo looks.** I’d prioritize workflow fit, compliance controls, integrations, and total cost over the longest feature list.",
      "first_vendor_offset": 5268
    },
    {
      "id": "a35e246e0c64bb6247af",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "totalcost",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 234,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "c57d90fb4d2cf2a80b6ef519333f1f1fdb10ec9f4f3ff7adb81ccf8ed4029a8b",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "**Choose a loan origination system (LOS) based on how well it handles your actual loans—not how impressive the demo looks.** I’d prioritize workflow fit, compliance controls, integrations, and total cost over the longest feature list.",
      "first_vendor_offset": 5268
    },
    {
      "id": "5427ab51c0504a36ec55",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "fit",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 407,
      "end": 473,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "f3e72009849581e2e3fe4b862c2bf2cf07a66c14e5486329a1c9304a16dfebbc",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- Mortgage, consumer, auto, commercial, or small-business lending.",
      "first_vendor_offset": 5268
    },
    {
      "id": "85054ed976785fce875b",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "proof",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 407,
      "end": 473,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "f3e72009849581e2e3fe4b862c2bf2cf07a66c14e5486329a1c9304a16dfebbc",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- Mortgage, consumer, auto, commercial, or small-business lending.",
      "first_vendor_offset": 5268
    },
    {
      "id": "ef89817ef02e192228f9",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "fit",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 474,
      "end": 533,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "4ed3154788fe5d838bfe474c8d0e8b19547436831637a17eedd41a94b3c949d1",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- Direct, branch, broker, dealer, or embedded applications.",
      "first_vendor_offset": 5268
    },
    {
      "id": "b6ec676a3e5677f7d9ab",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "multi_channel",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 474,
      "end": 533,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "4ed3154788fe5d838bfe474c8d0e8b19547436831637a17eedd41a94b3c949d1",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- Direct, branch, broker, dealer, or embedded applications.",
      "first_vendor_offset": 5268
    },
    {
      "id": "f6d94e94b3731af2a543",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "proof",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 474,
      "end": 533,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "4ed3154788fe5d838bfe474c8d0e8b19547436831637a17eedd41a94b3c949d1",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- Direct, branch, broker, dealer, or embedded applications.",
      "first_vendor_offset": 5268
    },
    {
      "id": "1efd04f53a3af4150a67",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "borrowers_guarantors",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 534,
      "end": 617,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "9adae05541273bc44a9e5bfd31ce1782d3767ccb5527edcebd4b06fcbbdce2cd",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- Multiple borrowers, guarantors, collateral, and exception approvals where needed.",
      "first_vendor_offset": 5268
    },
    {
      "id": "e8b45966e5e74c99b9ab",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "collateral",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 534,
      "end": 617,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "9adae05541273bc44a9e5bfd31ce1782d3767ccb5527edcebd4b06fcbbdce2cd",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- Multiple borrowers, guarantors, collateral, and exception approvals where needed.",
      "first_vendor_offset": 5268
    },
    {
      "id": "b9e7d9aa613741f718ac",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "exception_handling",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 534,
      "end": 617,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "9adae05541273bc44a9e5bfd31ce1782d3767ccb5527edcebd4b06fcbbdce2cd",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- Multiple borrowers, guarantors, collateral, and exception approvals where needed.",
      "first_vendor_offset": 5268
    },
    {
      "id": "ba5a9ba7f0a0fca53062",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "approval_steps",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 534,
      "end": 617,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "9adae05541273bc44a9e5bfd31ce1782d3767ccb5527edcebd4b06fcbbdce2cd",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- Multiple borrowers, guarantors, collateral, and exception approvals where needed.",
      "first_vendor_offset": 5268
    },
    {
      "id": "f9ca049c3dfad675320f",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "proof",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 534,
      "end": 617,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "9adae05541273bc44a9e5bfd31ce1782d3767ccb5527edcebd4b06fcbbdce2cd",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- Multiple borrowers, guarantors, collateral, and exception approvals where needed.",
      "first_vendor_offset": 5268
    },
    {
      "id": "0652d4fd6990fb0390b7",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "price",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 619,
      "end": 742,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "02e4f4417ae9c6056ca8b8e668367bfaa3551fa685aa15863c97e1270838ed02",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "**Key question:** “Which requirements work out of the box, which need configuration, and which require custom development?”",
      "first_vendor_offset": 5268
    },
    {
      "id": "1749be121e5955356984",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "intake",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 785,
      "end": 919,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "a3987250591b0c1f90e8c288575289572bb2da4e516f895f635c985b41157a61",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Have your staff walk through application intake, document collection, underwriting, approval, closing, funding, and servicing handoff.",
      "first_vendor_offset": 5268
    },
    {
      "id": "a2625f0ddbb5df7a5e2a",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "document_collection",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 785,
      "end": 919,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "a3987250591b0c1f90e8c288575289572bb2da4e516f895f635c985b41157a61",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Have your staff walk through application intake, document collection, underwriting, approval, closing, funding, and servicing handoff.",
      "first_vendor_offset": 5268
    },
    {
      "id": "fa58ab86ab5d26bd3a89",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "underwrite",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 785,
      "end": 919,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "a3987250591b0c1f90e8c288575289572bb2da4e516f895f635c985b41157a61",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Have your staff walk through application intake, document collection, underwriting, approval, closing, funding, and servicing handoff.",
      "first_vendor_offset": 5268
    },
    {
      "id": "ebc93ab2aff54ae08ebf",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "approval_steps",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 785,
      "end": 919,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "a3987250591b0c1f90e8c288575289572bb2da4e516f895f635c985b41157a61",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Have your staff walk through application intake, document collection, underwriting, approval, closing, funding, and servicing handoff.",
      "first_vendor_offset": 5268
    },
    {
      "id": "bca696886d9b2a34c031",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "funding",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 785,
      "end": 919,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "a3987250591b0c1f90e8c288575289572bb2da4e516f895f635c985b41157a61",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Have your staff walk through application intake, document collection, underwriting, approval, closing, funding, and servicing handoff.",
      "first_vendor_offset": 5268
    },
    {
      "id": "447510c2174efcc83d12",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "funding_general",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 785,
      "end": 919,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "a3987250591b0c1f90e8c288575289572bb2da4e516f895f635c985b41157a61",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Have your staff walk through application intake, document collection, underwriting, approval, closing, funding, and servicing handoff.",
      "first_vendor_offset": 5268
    },
    {
      "id": "27a0a7116c4374b15588",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "closing_general",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 785,
      "end": 919,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "a3987250591b0c1f90e8c288575289572bb2da4e516f895f635c985b41157a61",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Have your staff walk through application intake, document collection, underwriting, approval, closing, funding, and servicing handoff.",
      "first_vendor_offset": 5268
    },
    {
      "id": "3dcebb52bc3ef27b836e",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "servicing_handoff",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 785,
      "end": 919,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "a3987250591b0c1f90e8c288575289572bb2da4e516f895f635c985b41157a61",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Have your staff walk through application intake, document collection, underwriting, approval, closing, funding, and servicing handoff.",
      "first_vendor_offset": 5268
    },
    {
      "id": "cd7ff4d98d90b1b32c3a",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "unified",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 785,
      "end": 919,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "a3987250591b0c1f90e8c288575289572bb2da4e516f895f635c985b41157a61",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Have your staff walk through application intake, document collection, underwriting, approval, closing, funding, and servicing handoff.",
      "first_vendor_offset": 5268
    },
    {
      "id": "be180b83e16296606a89",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "proof",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 785,
      "end": 919,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "a3987250591b0c1f90e8c288575289572bb2da4e516f895f635c985b41157a61",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Have your staff walk through application intake, document collection, underwriting, approval, closing, funding, and servicing handoff.",
      "first_vendor_offset": 5268
    },
    {
      "id": "6f22789aeb25c61fe727",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "usable",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 921,
      "end": 1179,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "4b14a48b34f52b47425cfd7f4871a18ac5b47fdcd884caaa75f13dc343f3f3e4",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Test both the borrower and employee experience: mobile applications, save-and-resume, document uploads, status updates, work queues, and exception handling. Ask your administrators to change a rule or workflow during the demo—not just watch the vendor do it.",
      "first_vendor_offset": 5268
    },
    {
      "id": "5667809bd7e7d9ff4347",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "mobile_apply",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 921,
      "end": 1179,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "4b14a48b34f52b47425cfd7f4871a18ac5b47fdcd884caaa75f13dc343f3f3e4",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Test both the borrower and employee experience: mobile applications, save-and-resume, document uploads, status updates, work queues, and exception handling. Ask your administrators to change a rule or workflow during the demo—not just watch the vendor do it.",
      "first_vendor_offset": 5268
    },
    {
      "id": "8027bec0be0632c82adc",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "intake",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 921,
      "end": 1179,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "4b14a48b34f52b47425cfd7f4871a18ac5b47fdcd884caaa75f13dc343f3f3e4",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Test both the borrower and employee experience: mobile applications, save-and-resume, document uploads, status updates, work queues, and exception handling. Ask your administrators to change a rule or workflow during the demo—not just watch the vendor do it.",
      "first_vendor_offset": 5268
    },
    {
      "id": "2c37c9d06318fed56503",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "resume",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 921,
      "end": 1179,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "4b14a48b34f52b47425cfd7f4871a18ac5b47fdcd884caaa75f13dc343f3f3e4",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Test both the borrower and employee experience: mobile applications, save-and-resume, document uploads, status updates, work queues, and exception handling. Ask your administrators to change a rule or workflow during the demo—not just watch the vendor do it.",
      "first_vendor_offset": 5268
    },
    {
      "id": "9e0ebdec136be355e069",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "upload",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 921,
      "end": 1179,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "4b14a48b34f52b47425cfd7f4871a18ac5b47fdcd884caaa75f13dc343f3f3e4",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Test both the borrower and employee experience: mobile applications, save-and-resume, document uploads, status updates, work queues, and exception handling. Ask your administrators to change a rule or workflow during the demo—not just watch the vendor do it.",
      "first_vendor_offset": 5268
    },
    {
      "id": "705ebbc09194ddd0c948",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "status",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 921,
      "end": 1179,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "4b14a48b34f52b47425cfd7f4871a18ac5b47fdcd884caaa75f13dc343f3f3e4",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Test both the borrower and employee experience: mobile applications, save-and-resume, document uploads, status updates, work queues, and exception handling. Ask your administrators to change a rule or workflow during the demo—not just watch the vendor do it.",
      "first_vendor_offset": 5268
    },
    {
      "id": "6b81ac0b4ff971e7c609",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "work_queues",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 921,
      "end": 1179,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "4b14a48b34f52b47425cfd7f4871a18ac5b47fdcd884caaa75f13dc343f3f3e4",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Test both the borrower and employee experience: mobile applications, save-and-resume, document uploads, status updates, work queues, and exception handling. Ask your administrators to change a rule or workflow during the demo—not just watch the vendor do it.",
      "first_vendor_offset": 5268
    },
    {
      "id": "1d6c47119a0ec6208b3a",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "exception_handling",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 921,
      "end": 1179,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "4b14a48b34f52b47425cfd7f4871a18ac5b47fdcd884caaa75f13dc343f3f3e4",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Test both the borrower and employee experience: mobile applications, save-and-resume, document uploads, status updates, work queues, and exception handling. Ask your administrators to change a rule or workflow during the demo—not just watch the vendor do it.",
      "first_vendor_offset": 5268
    },
    {
      "id": "82f803582dc35d90b164",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "workflow_config",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 921,
      "end": 1179,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "4b14a48b34f52b47425cfd7f4871a18ac5b47fdcd884caaa75f13dc343f3f3e4",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Test both the borrower and employee experience: mobile applications, save-and-resume, document uploads, status updates, work queues, and exception handling. Ask your administrators to change a rule or workflow during the demo—not just watch the vendor do it.",
      "first_vendor_offset": 5268
    },
    {
      "id": "3bee416c0fbef53db13b",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "proof",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 921,
      "end": 1179,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "4b14a48b34f52b47425cfd7f4871a18ac5b47fdcd884caaa75f13dc343f3f3e4",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Test both the borrower and employee experience: mobile applications, save-and-resume, document uploads, status updates, work queues, and exception handling. Ask your administrators to change a rule or workflow during the demo—not just watch the vendor do it.",
      "first_vendor_offset": 5268
    },
    {
      "id": "fd362dfeae3a2b8eb30b",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "compliance",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1225,
      "end": 1448,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "2cc9d8930f55cff7e6d2e42048801b712ef9ffe08c1bf38280974511ae71fcb7",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Have your compliance team validate applicable disclosures, notice deadlines, retention, reporting, and state-specific requirements. Require a reconstructable history of data, rules, decisions, overrides, and communications.",
      "first_vendor_offset": 5268
    },
    {
      "id": "afc695ce7d2f7aa89dc7",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "notices",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1225,
      "end": 1448,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "2cc9d8930f55cff7e6d2e42048801b712ef9ffe08c1bf38280974511ae71fcb7",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Have your compliance team validate applicable disclosures, notice deadlines, retention, reporting, and state-specific requirements. Require a reconstructable history of data, rules, decisions, overrides, and communications.",
      "first_vendor_offset": 5268
    },
    {
      "id": "9499ab4fda40f59e3640",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "retention",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1225,
      "end": 1448,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "2cc9d8930f55cff7e6d2e42048801b712ef9ffe08c1bf38280974511ae71fcb7",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Have your compliance team validate applicable disclosures, notice deadlines, retention, reporting, and state-specific requirements. Require a reconstructable history of data, rules, decisions, overrides, and communications.",
      "first_vendor_offset": 5268
    },
    {
      "id": "2641685c4bb95d79ea35",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "regulatory_reporting",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1225,
      "end": 1448,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "2cc9d8930f55cff7e6d2e42048801b712ef9ffe08c1bf38280974511ae71fcb7",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Have your compliance team validate applicable disclosures, notice deadlines, retention, reporting, and state-specific requirements. Require a reconstructable history of data, rules, decisions, overrides, and communications.",
      "first_vendor_offset": 5268
    },
    {
      "id": "565caac28f684e806502",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "decision_reconstruction",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1225,
      "end": 1448,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "2cc9d8930f55cff7e6d2e42048801b712ef9ffe08c1bf38280974511ae71fcb7",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Have your compliance team validate applicable disclosures, notice deadlines, retention, reporting, and state-specific requirements. Require a reconstructable history of data, rules, decisions, overrides, and communications.",
      "first_vendor_offset": 5268
    },
    {
      "id": "2eb09b97ff8191a0dac1",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "adverse",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1450,
      "end": 1815,
      "sources": [
        "https://www.consumerfinance.gov/rules-policy/regulations/1002/9/"
      ],
      "source_state": "attached source",
      "quote_sha256": "ff2f5aff5e67b5972eb1ee11d5d46aa573afea0376ffeb4276ca0bde9682fda6",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "For U.S. credit decisions, test whether the system can produce accurate, specific adverse-action reasons—not merely a generic “failed score” message. Regulation B requires specific principal reasons when reasons are provided, with notification rules varying by circumstances. ([consumerfinance.gov](https://www.consumerfinance.gov/rules-policy/regulations/1002/9/))",
      "first_vendor_offset": 5268
    },
    {
      "id": "f6c1b0d4eded6af51357",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "proof",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1450,
      "end": 1815,
      "sources": [
        "https://www.consumerfinance.gov/rules-policy/regulations/1002/9/"
      ],
      "source_state": "attached source",
      "quote_sha256": "ff2f5aff5e67b5972eb1ee11d5d46aa573afea0376ffeb4276ca0bde9682fda6",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "For U.S. credit decisions, test whether the system can produce accurate, specific adverse-action reasons—not merely a generic “failed score” message. Regulation B requires specific principal reasons when reasons are provided, with notification rules varying by circumstances. ([consumerfinance.gov](https://www.consumerfinance.gov/rules-policy/regulations/1002/9/))",
      "first_vendor_offset": 5268
    },
    {
      "id": "c0d48a71c2d4e25b9c8b",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "aicontrol",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1817,
      "end": 1923,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "2039fa9d733f290767727e2c39a2154e32e2b8d2328e0fe63f28f4fbccba1a68",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "For AI features, ask: **“Can we reproduce the decision, explain it, review it, and disable the feature?”**",
      "first_vendor_offset": 5268
    },
    {
      "id": "4b26541342889317cfff",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "decision_reproduce",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1817,
      "end": 1923,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "2039fa9d733f290767727e2c39a2154e32e2b8d2328e0fe63f28f4fbccba1a68",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "For AI features, ask: **“Can we reproduce the decision, explain it, review it, and disable the feature?”**",
      "first_vendor_offset": 5268
    },
    {
      "id": "f2ef7661977a73f8c90b",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "core_connections",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2018,
      "end": 2052,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "45bf508b0c774b84bed0bef27890c5da4745426945381361a116e69440c89b88",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- Core banking and loan servicing.",
      "first_vendor_offset": 5268
    },
    {
      "id": "7f9e3c4009e7185dd3d8",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "servicing_connections",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2018,
      "end": 2052,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "45bf508b0c774b84bed0bef27890c5da4745426945381361a116e69440c89b88",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- Core banking and loan servicing.",
      "first_vendor_offset": 5268
    },
    {
      "id": "fb81d50a5094013a88a5",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "integrationproof",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2018,
      "end": 2052,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "45bf508b0c774b84bed0bef27890c5da4745426945381361a116e69440c89b88",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- Core banking and loan servicing.",
      "first_vendor_offset": 5268
    },
    {
      "id": "a2b7305f7ee2b2a5fa99",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "bureau_connections",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2053,
      "end": 2121,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "473ef7c468f0441106d9c62ac9ed7bcc3e6de11af14023f6f23cc7ef876d5748",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- Credit bureaus and identity, fraud, income, or asset verification.",
      "first_vendor_offset": 5268
    },
    {
      "id": "a064a09d31b5664a3c52",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "verification_connections",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2053,
      "end": 2121,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "473ef7c468f0441106d9c62ac9ed7bcc3e6de11af14023f6f23cc7ef876d5748",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- Credit bureaus and identity, fraud, income, or asset verification.",
      "first_vendor_offset": 5268
    },
    {
      "id": "529b3ceb8bd23f8fcdae",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "integrationproof",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2053,
      "end": 2121,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "473ef7c468f0441106d9c62ac9ed7bcc3e6de11af14023f6f23cc7ef876d5748",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- Credit bureaus and identity, fraud, income, or asset verification.",
      "first_vendor_offset": 5268
    },
    {
      "id": "d67e4cbfa4b5911f4732",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "business_connections",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2122,
      "end": 2187,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "544ce078ea178d080e4acc0163c9e4f6226476718838429dcffd25437dea32f9",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- CRM, document generation, e-signature, payments, and analytics.",
      "first_vendor_offset": 5268
    },
    {
      "id": "b8839f3f875cf5043079",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "integrationproof",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2122,
      "end": 2187,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "544ce078ea178d080e4acc0163c9e4f6226476718838429dcffd25437dea32f9",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- CRM, document generation, e-signature, payments, and analytics.",
      "first_vendor_offset": 5268
    },
    {
      "id": "6f6066e4c1808762234a",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "integrationowner",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2189,
      "end": 2689,
      "sources": [
        "https://www.fdic.gov/news/financial-institution-letters/2024/third-party-risk-management-guide-community-banks?utm_source=openai"
      ],
      "source_state": "attached source",
      "quote_sha256": "2e8e816c983bf85b1be3a47a7fd387ef8cc7d70493a9a565a12d42e3a760e1f3",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Ask who builds and maintains each connection, how failures are handled, and what it costs. Make integration dependencies and responsibilities part of your due diligence rather than accepting “we have an API” as proof of readiness. Federal banking guidance identifies operational and technology risks as important considerations in third-party relationships. ([fdic.gov](https://www.fdic.gov/news/financial-institution-letters/2024/third-party-risk-management-guide-community-banks?utm_source=openai))",
      "first_vendor_offset": 5268
    },
    {
      "id": "dd27f3300704084d2474",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "failure_handling",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2189,
      "end": 2689,
      "sources": [
        "https://www.fdic.gov/news/financial-institution-letters/2024/third-party-risk-management-guide-community-banks?utm_source=openai"
      ],
      "source_state": "attached source",
      "quote_sha256": "2e8e816c983bf85b1be3a47a7fd387ef8cc7d70493a9a565a12d42e3a760e1f3",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Ask who builds and maintains each connection, how failures are handled, and what it costs. Make integration dependencies and responsibilities part of your due diligence rather than accepting “we have an API” as proof of readiness. Federal banking guidance identifies operational and technology risks as important considerations in third-party relationships. ([fdic.gov](https://www.fdic.gov/news/financial-institution-letters/2024/third-party-risk-management-guide-community-banks?utm_source=openai))",
      "first_vendor_offset": 5268
    },
    {
      "id": "81a3d059bcdaf514bbdf",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "integration_cost",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2189,
      "end": 2689,
      "sources": [
        "https://www.fdic.gov/news/financial-institution-letters/2024/third-party-risk-management-guide-community-banks?utm_source=openai"
      ],
      "source_state": "attached source",
      "quote_sha256": "2e8e816c983bf85b1be3a47a7fd387ef8cc7d70493a9a565a12d42e3a760e1f3",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Ask who builds and maintains each connection, how failures are handled, and what it costs. Make integration dependencies and responsibilities part of your due diligence rather than accepting “we have an API” as proof of readiness. Federal banking guidance identifies operational and technology risks as important considerations in third-party relationships. ([fdic.gov](https://www.fdic.gov/news/financial-institution-letters/2024/third-party-risk-management-guide-community-banks?utm_source=openai))",
      "first_vendor_offset": 5268
    },
    {
      "id": "0e98dc4b9fc85145f847",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "access_controls",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2734,
      "end": 3127,
      "sources": [
        "https://www.ftc.gov/business-guidance/resources/ftc-safeguards-rule-what-your-business-needs-know"
      ],
      "source_state": "attached source",
      "quote_sha256": "94c11babe63968695c435bcfe8274dd134ac009aff4cf1cf1e5c927b9382ddb1",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Request evidence of access controls, multifactor authentication, encryption, activity logging, security testing, and incident response. For institutions covered by the FTC Safeguards Rule, these areas—and service-provider oversight—are explicit components of the security framework. ([ftc.gov](https://www.ftc.gov/business-guidance/resources/ftc-safeguards-rule-what-your-business-needs-know))",
      "first_vendor_offset": 5268
    },
    {
      "id": "6169ad49c0c12b46caf5",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "mfa",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2734,
      "end": 3127,
      "sources": [
        "https://www.ftc.gov/business-guidance/resources/ftc-safeguards-rule-what-your-business-needs-know"
      ],
      "source_state": "attached source",
      "quote_sha256": "94c11babe63968695c435bcfe8274dd134ac009aff4cf1cf1e5c927b9382ddb1",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Request evidence of access controls, multifactor authentication, encryption, activity logging, security testing, and incident response. For institutions covered by the FTC Safeguards Rule, these areas—and service-provider oversight—are explicit components of the security framework. ([ftc.gov](https://www.ftc.gov/business-guidance/resources/ftc-safeguards-rule-what-your-business-needs-know))",
      "first_vendor_offset": 5268
    },
    {
      "id": "3306d3b7e97edde2dd43",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "encrypt",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2734,
      "end": 3127,
      "sources": [
        "https://www.ftc.gov/business-guidance/resources/ftc-safeguards-rule-what-your-business-needs-know"
      ],
      "source_state": "attached source",
      "quote_sha256": "94c11babe63968695c435bcfe8274dd134ac009aff4cf1cf1e5c927b9382ddb1",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Request evidence of access controls, multifactor authentication, encryption, activity logging, security testing, and incident response. For institutions covered by the FTC Safeguards Rule, these areas—and service-provider oversight—are explicit components of the security framework. ([ftc.gov](https://www.ftc.gov/business-guidance/resources/ftc-safeguards-rule-what-your-business-needs-know))",
      "first_vendor_offset": 5268
    },
    {
      "id": "6585814358642cd412ca",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "activity_logs",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2734,
      "end": 3127,
      "sources": [
        "https://www.ftc.gov/business-guidance/resources/ftc-safeguards-rule-what-your-business-needs-know"
      ],
      "source_state": "attached source",
      "quote_sha256": "94c11babe63968695c435bcfe8274dd134ac009aff4cf1cf1e5c927b9382ddb1",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Request evidence of access controls, multifactor authentication, encryption, activity logging, security testing, and incident response. For institutions covered by the FTC Safeguards Rule, these areas—and service-provider oversight—are explicit components of the security framework. ([ftc.gov](https://www.ftc.gov/business-guidance/resources/ftc-safeguards-rule-what-your-business-needs-know))",
      "first_vendor_offset": 5268
    },
    {
      "id": "dfaeb66c8b704f5d4ab8",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "securitytest",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2734,
      "end": 3127,
      "sources": [
        "https://www.ftc.gov/business-guidance/resources/ftc-safeguards-rule-what-your-business-needs-know"
      ],
      "source_state": "attached source",
      "quote_sha256": "94c11babe63968695c435bcfe8274dd134ac009aff4cf1cf1e5c927b9382ddb1",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Request evidence of access controls, multifactor authentication, encryption, activity logging, security testing, and incident response. For institutions covered by the FTC Safeguards Rule, these areas—and service-provider oversight—are explicit components of the security framework. ([ftc.gov](https://www.ftc.gov/business-guidance/resources/ftc-safeguards-rule-what-your-business-needs-know))",
      "first_vendor_offset": 5268
    },
    {
      "id": "a1ebf8dc78f31ae7b2f0",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "incident_response",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2734,
      "end": 3127,
      "sources": [
        "https://www.ftc.gov/business-guidance/resources/ftc-safeguards-rule-what-your-business-needs-know"
      ],
      "source_state": "attached source",
      "quote_sha256": "94c11babe63968695c435bcfe8274dd134ac009aff4cf1cf1e5c927b9382ddb1",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Request evidence of access controls, multifactor authentication, encryption, activity logging, security testing, and incident response. For institutions covered by the FTC Safeguards Rule, these areas—and service-provider oversight—are explicit components of the security framework. ([ftc.gov](https://www.ftc.gov/business-guidance/resources/ftc-safeguards-rule-what-your-business-needs-know))",
      "first_vendor_offset": 5268
    },
    {
      "id": "cec7cd50e0af36b0054c",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "provider_oversight",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2734,
      "end": 3127,
      "sources": [
        "https://www.ftc.gov/business-guidance/resources/ftc-safeguards-rule-what-your-business-needs-know"
      ],
      "source_state": "attached source",
      "quote_sha256": "94c11babe63968695c435bcfe8274dd134ac009aff4cf1cf1e5c927b9382ddb1",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Request evidence of access controls, multifactor authentication, encryption, activity logging, security testing, and incident response. For institutions covered by the FTC Safeguards Rule, these areas—and service-provider oversight—are explicit components of the security framework. ([ftc.gov](https://www.ftc.gov/business-guidance/resources/ftc-safeguards-rule-what-your-business-needs-know))",
      "first_vendor_offset": 5268
    },
    {
      "id": "002b1d07817a4334e63d",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "assurance_reports",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3129,
      "end": 3313,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "43959fffd3f4d7c592458ded6af0657a828aba52e88ecc0cb048aba5034d43b9",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Also ask for independent assurance reports, recent recovery-test results, uptime history, and contractual commitments for recovery time, potential data loss, and incident notification.",
      "first_vendor_offset": 5268
    },
    {
      "id": "9056537d3e9b198ad049",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "recoverytest",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3129,
      "end": 3313,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "43959fffd3f4d7c592458ded6af0657a828aba52e88ecc0cb048aba5034d43b9",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Also ask for independent assurance reports, recent recovery-test results, uptime history, and contractual commitments for recovery time, potential data loss, and incident notification.",
      "first_vendor_offset": 5268
    },
    {
      "id": "bdc9e9dcfbca1151e364",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "uptime_history",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3129,
      "end": 3313,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "43959fffd3f4d7c592458ded6af0657a828aba52e88ecc0cb048aba5034d43b9",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Also ask for independent assurance reports, recent recovery-test results, uptime history, and contractual commitments for recovery time, potential data loss, and incident notification.",
      "first_vendor_offset": 5268
    },
    {
      "id": "2b173643c1916a080691",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "rto",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3129,
      "end": 3313,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "43959fffd3f4d7c592458ded6af0657a828aba52e88ecc0cb048aba5034d43b9",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Also ask for independent assurance reports, recent recovery-test results, uptime history, and contractual commitments for recovery time, potential data loss, and incident notification.",
      "first_vendor_offset": 5268
    },
    {
      "id": "dc40db8fbaf7b374e54a",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "rpo",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3129,
      "end": 3313,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "43959fffd3f4d7c592458ded6af0657a828aba52e88ecc0cb048aba5034d43b9",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Also ask for independent assurance reports, recent recovery-test results, uptime history, and contractual commitments for recovery time, potential data loss, and incident notification.",
      "first_vendor_offset": 5268
    },
    {
      "id": "8609b6d262263958f23a",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "incident_notification",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3129,
      "end": 3313,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "43959fffd3f4d7c592458ded6af0657a828aba52e88ecc0cb048aba5034d43b9",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Also ask for independent assurance reports, recent recovery-test results, uptime history, and contractual commitments for recovery time, potential data loss, and incident notification.",
      "first_vendor_offset": 5268
    },
    {
      "id": "8b52117564d8d0c515c5",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "turnaround_reporting",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3403,
      "end": 3459,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "f1847160b179356ed951f3203397598982c202e2594a58991eebc04b91c7015b",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- Application-to-funding conversion and turnaround time.",
      "first_vendor_offset": 5268
    },
    {
      "id": "9441c422f85174bdda9c",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "proof",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3403,
      "end": 3459,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "f1847160b179356ed951f3203397598982c202e2594a58991eebc04b91c7015b",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- Application-to-funding conversion and turnaround time.",
      "first_vendor_offset": 5268
    },
    {
      "id": "18171d5711d61144b12b",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "workload_reporting",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3460,
      "end": 3499,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "1f94b507e272b4fbdc9036631a1b2b93a48c9ca20085a9a3a17ab0d461d5575f",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- Queue bottlenecks and staff workload.",
      "first_vendor_offset": 5268
    },
    {
      "id": "8a0068362bf1bc82f6b2",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "proof",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3460,
      "end": 3499,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "1f94b507e272b4fbdc9036631a1b2b93a48c9ca20085a9a3a17ab0d461d5575f",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- Queue bottlenecks and staff workload.",
      "first_vendor_offset": 5268
    },
    {
      "id": "617482dd2a55551b7633",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "decision_reporting",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3500,
      "end": 3551,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "e963e3544e330927f6a64a0fbbb8e34fe9a2746c97460aa6c0a4d2b94cae04c6",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- Approval, denial, override, and exception trends.",
      "first_vendor_offset": 5268
    },
    {
      "id": "c08bf1cc00b021bf4a71",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "proof",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3500,
      "end": 3551,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "e963e3544e330927f6a64a0fbbb8e34fe9a2746c97460aa6c0a4d2b94cae04c6",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- Approval, denial, override, and exception trends.",
      "first_vendor_offset": 5268
    },
    {
      "id": "fd3b591233d68c31bdfa",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "cost_reporting",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3552,
      "end": 3575,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "6551be3c6229405bc3ca629a317797411c5aabe6f9f3ce018cab0219880b3542",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- Cost per funded loan.",
      "first_vendor_offset": 5268
    },
    {
      "id": "b9b5f7fbe0772a4a9153",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "proof",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3552,
      "end": 3575,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "6551be3c6229405bc3ca629a317797411c5aabe6f9f3ce018cab0219880b3542",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- Cost per funded loan.",
      "first_vendor_offset": 5268
    },
    {
      "id": "176a879363eb43b25c9c",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "export",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3577,
      "end": 3692,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "1cf30af86f259c613402878582d375e8c3681df2eb8f6195b426b4067318b4b4",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Test whether you can export underlying records, documents, and audit history—not just download dashboard summaries.",
      "first_vendor_offset": 5268
    },
    {
      "id": "2d7bda24b89f92384ba6",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "proof",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3577,
      "end": 3692,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "1cf30af86f259c613402878582d375e8c3681df2eb8f6195b426b4067318b4b4",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Test whether you can export underlying records, documents, and audit history—not just download dashboard summaries.",
      "first_vendor_offset": 5268
    },
    {
      "id": "a9086200fafb5d19a367",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "implementation_owner",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3738,
      "end": 3930,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "f29af045664a94c347f59653046d6b7cf7326fdd940f5132469058f70d1370e8",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Ask for a named implementation team, migration plan, testing responsibilities, training, acceptance criteria, and post-launch support. Speak with customers of similar size and loan complexity.",
      "first_vendor_offset": 5268
    },
    {
      "id": "d5b541dab8195aa1e5ba",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "migration",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3738,
      "end": 3930,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "f29af045664a94c347f59653046d6b7cf7326fdd940f5132469058f70d1370e8",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Ask for a named implementation team, migration plan, testing responsibilities, training, acceptance criteria, and post-launch support. Speak with customers of similar size and loan complexity.",
      "first_vendor_offset": 5268
    },
    {
      "id": "5dd874efbd9ae0464f53",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "train",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3738,
      "end": 3930,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "f29af045664a94c347f59653046d6b7cf7326fdd940f5132469058f70d1370e8",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Ask for a named implementation team, migration plan, testing responsibilities, training, acceptance criteria, and post-launch support. Speak with customers of similar size and loan complexity.",
      "first_vendor_offset": 5268
    },
    {
      "id": "9602ba17d78d3bad00bf",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "support_general",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3738,
      "end": 3930,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "f29af045664a94c347f59653046d6b7cf7326fdd940f5132469058f70d1370e8",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Ask for a named implementation team, migration plan, testing responsibilities, training, acceptance criteria, and post-launch support. Speak with customers of similar size and loan complexity.",
      "first_vendor_offset": 5268
    },
    {
      "id": "1181b49d8f7d9d254f47",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "references",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3738,
      "end": 3930,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "f29af045664a94c347f59653046d6b7cf7326fdd940f5132469058f70d1370e8",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Ask for a named implementation team, migration plan, testing responsibilities, training, acceptance criteria, and post-launch support. Speak with customers of similar size and loan complexity.",
      "first_vendor_offset": 5268
    },
    {
      "id": "b3f8cdc5fdd61a3b3f73",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "vendor_experience",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3932,
      "end": 4197,
      "sources": [
        "https://www.fdic.gov/sites/default/files/2024-03/pr21075a.pdf?utm_source=openai"
      ],
      "source_state": "attached source",
      "quote_sha256": "4c8154f3f4e4e4d1960d288b078b2a3acf425c89afe1783ad17a370cd2e8a000",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Review the provider’s relevant experience, financial condition, controls, and resilience; these are core areas in federal banking agencies’ fintech due-diligence guidance. ([fdic.gov](https://www.fdic.gov/sites/default/files/2024-03/pr21075a.pdf?utm_source=openai))",
      "first_vendor_offset": 5268
    },
    {
      "id": "116dab20f3c7879cca36",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "vendor_financial",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3932,
      "end": 4197,
      "sources": [
        "https://www.fdic.gov/sites/default/files/2024-03/pr21075a.pdf?utm_source=openai"
      ],
      "source_state": "attached source",
      "quote_sha256": "4c8154f3f4e4e4d1960d288b078b2a3acf425c89afe1783ad17a370cd2e8a000",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Review the provider’s relevant experience, financial condition, controls, and resilience; these are core areas in federal banking agencies’ fintech due-diligence guidance. ([fdic.gov](https://www.fdic.gov/sites/default/files/2024-03/pr21075a.pdf?utm_source=openai))",
      "first_vendor_offset": 5268
    },
    {
      "id": "ceedb4ad0b986709ed99",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "vendor_viability",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3932,
      "end": 4197,
      "sources": [
        "https://www.fdic.gov/sites/default/files/2024-03/pr21075a.pdf?utm_source=openai"
      ],
      "source_state": "attached source",
      "quote_sha256": "4c8154f3f4e4e4d1960d288b078b2a3acf425c89afe1783ad17a370cd2e8a000",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Review the provider’s relevant experience, financial condition, controls, and resilience; these are core areas in federal banking agencies’ fintech due-diligence guidance. ([fdic.gov](https://www.fdic.gov/sites/default/files/2024-03/pr21075a.pdf?utm_source=openai))",
      "first_vendor_offset": 5268
    },
    {
      "id": "b909f6708360f5708fd3",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "totalcost",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 4231,
      "end": 4440,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "379760ed11847b5765959ed43293be0078b8b7eeb8b38a28363510397749d07a",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Request a **three- to five-year cost model** covering licenses, minimum commitments, implementation, migration, integrations, third-party transaction charges, storage, support, upgrades, and internal staffing.",
      "first_vendor_offset": 5268
    },
    {
      "id": "910cda7fefc1a3494191",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "data_ownership",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 4442,
      "end": 4797,
      "sources": [
        "https://www.fdic.gov/news/press-releases/2023/pr23047.html?utm_source=openai"
      ],
      "source_state": "attached source",
      "quote_sha256": "fda1d96d07e4f58d0cbabfece932611b7e39b66c6816af0d91b51d0e79a7b149",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Negotiate data ownership, usable exports, termination assistance, renewal increases, and exit fees before signing. Banking agencies’ third-party guidance treats contract negotiation, ongoing monitoring, and termination as distinct stages—not just vendor selection. ([fdic.gov](https://www.fdic.gov/news/press-releases/2023/pr23047.html?utm_source=openai))",
      "first_vendor_offset": 5268
    },
    {
      "id": "55013238a0b9d5b34143",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "export_general",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 4442,
      "end": 4797,
      "sources": [
        "https://www.fdic.gov/news/press-releases/2023/pr23047.html?utm_source=openai"
      ],
      "source_state": "attached source",
      "quote_sha256": "fda1d96d07e4f58d0cbabfece932611b7e39b66c6816af0d91b51d0e79a7b149",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Negotiate data ownership, usable exports, termination assistance, renewal increases, and exit fees before signing. Banking agencies’ third-party guidance treats contract negotiation, ongoing monitoring, and termination as distinct stages—not just vendor selection. ([fdic.gov](https://www.fdic.gov/news/press-releases/2023/pr23047.html?utm_source=openai))",
      "first_vendor_offset": 5268
    },
    {
      "id": "04cd930431f80f35e2d0",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "contract",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 4442,
      "end": 4797,
      "sources": [
        "https://www.fdic.gov/news/press-releases/2023/pr23047.html?utm_source=openai"
      ],
      "source_state": "attached source",
      "quote_sha256": "fda1d96d07e4f58d0cbabfece932611b7e39b66c6816af0d91b51d0e79a7b149",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Negotiate data ownership, usable exports, termination assistance, renewal increases, and exit fees before signing. Banking agencies’ third-party guidance treats contract negotiation, ongoing monitoring, and termination as distinct stages—not just vendor selection. ([fdic.gov](https://www.fdic.gov/news/press-releases/2023/pr23047.html?utm_source=openai))",
      "first_vendor_offset": 5268
    },
    {
      "id": "2fc5141be4d0a91c8be3",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "proof",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 4835,
      "end": 5094,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "80575544e428602e6b289b97354d9f11182b4d68d83dd0f006cf8c3eadca37fb",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Set nonnegotiable requirements first. Then have finalists run the **same scripted scenarios**, including a straightforward approval, a denial, missing documents, an override, and an integration outage. Score demonstrated results rather than promised features.",
      "first_vendor_offset": 5268
    },
    {
      "id": "64b01dd2f5dc84320a4e",
      "record_id": "loan-origination-software|q9|ChatGPT|3",
      "criterion_id": "available",
      "engine": "ChatGPT",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 4835,
      "end": 5094,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "80575544e428602e6b289b97354d9f11182b4d68d83dd0f006cf8c3eadca37fb",
      "answer_sha256": "8ab113e22289e63d46dd0114b4d7a89ff8e570c09815475689f13610f70903a1",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Set nonnegotiable requirements first. Then have finalists run the **same scripted scenarios**, including a straightforward approval, a denial, missing documents, an override, and an integration outage. Score demonstrated results rather than promised features.",
      "first_vendor_offset": 5268
    },
    {
      "id": "c4c6d7518b0cb2fb6222",
      "record_id": "loan-origination-software|q9|Claude|1",
      "criterion_id": "fit",
      "engine": "Claude",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 218,
      "end": 406,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "2574b8c6ccb6d108f27996caddc966142fcf2180bca1aaa2816fb3b95ffdd9b8",
      "answer_sha256": "43364dd989388c9ae8886057cb8c3143aad23fa4dc2170d71da97a4055cb95ed",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Before jumping into evaluating platforms, take a step back and assess your own lending operation. The right LOS for you will depend on how your business runs today and where you're headed.",
      "first_vendor_offset": 5120
    },
    {
      "id": "69507390604700bed136",
      "record_id": "loan-origination-software|q9|Claude|1",
      "criterion_id": "workflow_config",
      "engine": "Claude",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 409,
      "end": 767,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "ccf168915d28f91bf9630d853e26ebd0cffaf2b959c6f162990d07f85dc74176",
      "answer_sha256": "43364dd989388c9ae8886057cb8c3143aad23fa4dc2170d71da97a4055cb95ed",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "It's hard to know what capabilities you need if you don't have your loan origination processes clearly defined. Without firm processes in place, you run the risk of an LOS dictating them, which can hurt your business. Take the time to document your preferred processes, and then look for a provider with the flexibility to configure the system to your needs.",
      "first_vendor_offset": 5120
    },
    {
      "id": "e417d1e8c002458cf566",
      "record_id": "loan-origination-software|q9|Claude|1",
      "criterion_id": "fit",
      "engine": "Claude",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 409,
      "end": 767,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "ccf168915d28f91bf9630d853e26ebd0cffaf2b959c6f162990d07f85dc74176",
      "answer_sha256": "43364dd989388c9ae8886057cb8c3143aad23fa4dc2170d71da97a4055cb95ed",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "It's hard to know what capabilities you need if you don't have your loan origination processes clearly defined. Without firm processes in place, you run the risk of an LOS dictating them, which can hurt your business. Take the time to document your preferred processes, and then look for a provider with the flexibility to configure the system to your needs.",
      "first_vendor_offset": 5120
    },
    {
      "id": "7d0a7906966fcaa805ac",
      "record_id": "loan-origination-software|q9|Claude|1",
      "criterion_id": "fit",
      "engine": "Claude",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 823,
      "end": 1170,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "4e602862e49e7146487972ef7588e49f87a497fd085350e19c16b0e357d33036",
      "answer_sha256": "43364dd989388c9ae8886057cb8c3143aad23fa4dc2170d71da97a4055cb95ed",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Commercial loan origination software handles complex business structures and multiple guarantors. Consumer loan origination software focuses on high-volume speed. Mortgage loan origination software manages heavy compliance requirements. Small business loan origination software sits in the middle. Pick the system built for your specific products.",
      "first_vendor_offset": 5120
    },
    {
      "id": "88d85fe13e03de08a617",
      "record_id": "loan-origination-software|q9|Claude|1",
      "criterion_id": "integrate",
      "engine": "Claude",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1215,
      "end": 1431,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "5702cf41a5ddc6a360a3549d75112c38deb591b0f269b221aeab4d6a1bd3262c",
      "answer_sha256": "43364dd989388c9ae8886057cb8c3143aad23fa4dc2170d71da97a4055cb95ed",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Your LOS should integrate seamlessly with core banking systems, credit bureaus, ID verification services, and third-party analytics tools. Robust APIs and pre-built connectors speed up deployment and reduce friction.",
      "first_vendor_offset": 5120
    },
    {
      "id": "9dfec10992e924e322f0",
      "record_id": "loan-origination-software|q9|Claude|1",
      "criterion_id": "api_connectors",
      "engine": "Claude",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1215,
      "end": 1431,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "5702cf41a5ddc6a360a3549d75112c38deb591b0f269b221aeab4d6a1bd3262c",
      "answer_sha256": "43364dd989388c9ae8886057cb8c3143aad23fa4dc2170d71da97a4055cb95ed",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Your LOS should integrate seamlessly with core banking systems, credit bureaus, ID verification services, and third-party analytics tools. Robust APIs and pre-built connectors speed up deployment and reduce friction.",
      "first_vendor_offset": 5120
    },
    {
      "id": "a9b91f0bab3de98b44b1",
      "record_id": "loan-origination-software|q9|Claude|1",
      "criterion_id": "api",
      "engine": "Claude",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1434,
      "end": 1570,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "e86fae79819740487bc5c330c91fa657a7d4830b0f66f1b579173b1a8c7de070",
      "answer_sha256": "43364dd989388c9ae8886057cb8c3143aad23fa4dc2170d71da97a4055cb95ed",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Look at the API documentation, ask about pre-built connectors to your core banking platform, and test the connections before you commit.",
      "first_vendor_offset": 5120
    },
    {
      "id": "6773484f356eadd6343a",
      "record_id": "loan-origination-software|q9|Claude|1",
      "criterion_id": "integrationproof",
      "engine": "Claude",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1434,
      "end": 1570,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "e86fae79819740487bc5c330c91fa657a7d4830b0f66f1b579173b1a8c7de070",
      "answer_sha256": "43364dd989388c9ae8886057cb8c3143aad23fa4dc2170d71da97a4055cb95ed",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Look at the API documentation, ask about pre-built connectors to your core banking platform, and test the connections before you commit.",
      "first_vendor_offset": 5120
    },
    {
      "id": "4744568aa8446f59634d",
      "record_id": "loan-origination-software|q9|Claude|1",
      "criterion_id": "decision_rules",
      "engine": "Claude",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1623,
      "end": 2099,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "9a8fbe70079b37825333208cc4d2368c1181d4e6bb06421fd095afec057ac294",
      "answer_sha256": "43364dd989388c9ae8886057cb8c3143aad23fa4dc2170d71da97a4055cb95ed",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "If compliance is a top priority, look for features like pre-built decision rules that flag policy exceptions, automated alerts that notify your team when applications fall outside compliance parameters, dynamic workflows that adjust to regulatory requirements by product type or location, tamper-resistant audit trails that record all changes to an application, and built-in notifications that ensure applicants receive required disclosures and adverse action notices on time.",
      "first_vendor_offset": 5120
    },
    {
      "id": "edf836051d0bb5c05760",
      "record_id": "loan-origination-software|q9|Claude|1",
      "criterion_id": "exception_alerts",
      "engine": "Claude",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1623,
      "end": 2099,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "9a8fbe70079b37825333208cc4d2368c1181d4e6bb06421fd095afec057ac294",
      "answer_sha256": "43364dd989388c9ae8886057cb8c3143aad23fa4dc2170d71da97a4055cb95ed",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "If compliance is a top priority, look for features like pre-built decision rules that flag policy exceptions, automated alerts that notify your team when applications fall outside compliance parameters, dynamic workflows that adjust to regulatory requirements by product type or location, tamper-resistant audit trails that record all changes to an application, and built-in notifications that ensure applicants receive required disclosures and adverse action notices on time.",
      "first_vendor_offset": 5120
    },
    {
      "id": "8e4dd78eb08a50507658",
      "record_id": "loan-origination-software|q9|Claude|1",
      "criterion_id": "compliance",
      "engine": "Claude",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1623,
      "end": 2099,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "9a8fbe70079b37825333208cc4d2368c1181d4e6bb06421fd095afec057ac294",
      "answer_sha256": "43364dd989388c9ae8886057cb8c3143aad23fa4dc2170d71da97a4055cb95ed",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "If compliance is a top priority, look for features like pre-built decision rules that flag policy exceptions, automated alerts that notify your team when applications fall outside compliance parameters, dynamic workflows that adjust to regulatory requirements by product type or location, tamper-resistant audit trails that record all changes to an application, and built-in notifications that ensure applicants receive required disclosures and adverse action notices on time.",
      "first_vendor_offset": 5120
    },
    {
      "id": "aafcad0cba668168e41c",
      "record_id": "loan-origination-software|q9|Claude|1",
      "criterion_id": "jurisdiction_config",
      "engine": "Claude",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1623,
      "end": 2099,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "9a8fbe70079b37825333208cc4d2368c1181d4e6bb06421fd095afec057ac294",
      "answer_sha256": "43364dd989388c9ae8886057cb8c3143aad23fa4dc2170d71da97a4055cb95ed",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "If compliance is a top priority, look for features like pre-built decision rules that flag policy exceptions, automated alerts that notify your team when applications fall outside compliance parameters, dynamic workflows that adjust to regulatory requirements by product type or location, tamper-resistant audit trails that record all changes to an application, and built-in notifications that ensure applicants receive required disclosures and adverse action notices on time.",
      "first_vendor_offset": 5120
    },
    {
      "id": "740c1af747e52f9438a3",
      "record_id": "loan-origination-software|q9|Claude|1",
      "criterion_id": "audit",
      "engine": "Claude",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1623,
      "end": 2099,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "9a8fbe70079b37825333208cc4d2368c1181d4e6bb06421fd095afec057ac294",
      "answer_sha256": "43364dd989388c9ae8886057cb8c3143aad23fa4dc2170d71da97a4055cb95ed",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "If compliance is a top priority, look for features like pre-built decision rules that flag policy exceptions, automated alerts that notify your team when applications fall outside compliance parameters, dynamic workflows that adjust to regulatory requirements by product type or location, tamper-resistant audit trails that record all changes to an application, and built-in notifications that ensure applicants receive required disclosures and adverse action notices on time.",
      "first_vendor_offset": 5120
    },
    {
      "id": "6d0da720ca11bd58277b",
      "record_id": "loan-origination-software|q9|Claude|1",
      "criterion_id": "notices",
      "engine": "Claude",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1623,
      "end": 2099,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "9a8fbe70079b37825333208cc4d2368c1181d4e6bb06421fd095afec057ac294",
      "answer_sha256": "43364dd989388c9ae8886057cb8c3143aad23fa4dc2170d71da97a4055cb95ed",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "If compliance is a top priority, look for features like pre-built decision rules that flag policy exceptions, automated alerts that notify your team when applications fall outside compliance parameters, dynamic workflows that adjust to regulatory requirements by product type or location, tamper-resistant audit trails that record all changes to an application, and built-in notifications that ensure applicants receive required disclosures and adverse action notices on time.",
      "first_vendor_offset": 5120
    },
    {
      "id": "b32a2b9d56200a95bb33",
      "record_id": "loan-origination-software|q9|Claude|1",
      "criterion_id": "risk_management",
      "engine": "Claude",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2148,
      "end": 2464,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "b7309b95a053c41c55e9a7e4341caf86f49af459c145eb8d0f6a18b42a19d9f6",
      "answer_sha256": "43364dd989388c9ae8886057cb8c3143aad23fa4dc2170d71da97a4055cb95ed",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "World-class loan origination systems come equipped with proven end-to-end risk management capabilities, allowing banks to protect themselves from unreliable borrowers, make smarter credit decisions, and improve profitability. Moreover, they enable lenders to balance credit risk with loan speed, volume, and quality.",
      "first_vendor_offset": 5120
    },
    {
      "id": "ed28d7c1e93b06a07c56",
      "record_id": "loan-origination-software|q9|Claude|1",
      "criterion_id": "architecture",
      "engine": "Claude",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2515,
      "end": 2706,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "2940be2da639a427f9cc1003193ee6504e5e9574b2f91f62d3dd4f7ca1619cf7",
      "answer_sha256": "43364dd989388c9ae8886057cb8c3143aad23fa4dc2170d71da97a4055cb95ed",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Cloud-native platforms update faster and scale more easily. On-premise systems give you more control over your data. Hybrid models offer flexibility. Match the deployment to your IT strategy.",
      "first_vendor_offset": 5120
    },
    {
      "id": "fba18cbb5857ecf62d6d",
      "record_id": "loan-origination-software|q9|Claude|1",
      "criterion_id": "volume_growth",
      "engine": "Claude",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2709,
      "end": 2814,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "f0f7978c9a74548722a090bacfd64ec83f6855dfa41cb8957e4669910f1bcb70",
      "answer_sha256": "43364dd989388c9ae8886057cb8c3143aad23fa4dc2170d71da97a4055cb95ed",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Plan for growth — your volume will increase, and the system must handle peak demand without slowing down.",
      "first_vendor_offset": 5120
    },
    {
      "id": "7e47621c4e27c4352a85",
      "record_id": "loan-origination-software|q9|Claude|1",
      "criterion_id": "performance",
      "engine": "Claude",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2709,
      "end": 2814,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "f0f7978c9a74548722a090bacfd64ec83f6855dfa41cb8957e4669910f1bcb70",
      "answer_sha256": "43364dd989388c9ae8886057cb8c3143aad23fa4dc2170d71da97a4055cb95ed",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Plan for growth — your volume will increase, and the system must handle peak demand without slowing down.",
      "first_vendor_offset": 5120
    },
    {
      "id": "c11dee429f176ca44fc0",
      "record_id": "loan-origination-software|q9|Claude|1",
      "criterion_id": "workflow_config",
      "engine": "Claude",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3179,
      "end": 3325,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "361a174f17ddc219bdcef7d59380bbbf4b6876bf6b9539f5e0599d2855b4db78",
      "answer_sha256": "43364dd989388c9ae8886057cb8c3143aad23fa4dc2170d71da97a4055cb95ed",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Instead of rigid systems that force you to change processes to match their limitations, look for systems that can be configured to fit your needs.",
      "first_vendor_offset": 5120
    },
    {
      "id": "0716ee42a41b4bb2a699",
      "record_id": "loan-origination-software|q9|Claude|1",
      "criterion_id": "usable",
      "engine": "Claude",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3377,
      "end": 3579,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "555c8bfe5d1046ddbe43ca1ec2de6f253695d0604261c9268d083b2de4c5731d",
      "answer_sha256": "43364dd989388c9ae8886057cb8c3143aad23fa4dc2170d71da97a4055cb95ed",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "A clean, intuitive design boosts productivity and reduces training time. Prioritize platforms that offer user-friendly experiences for both lenders and borrowers to ensure satisfaction across the board.",
      "first_vendor_offset": 5120
    },
    {
      "id": "057fbd956471f507bc6c",
      "record_id": "loan-origination-software|q9|Claude|1",
      "criterion_id": "collaboration",
      "engine": "Claude",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3582,
      "end": 3843,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "657514c2b080747bd4063a20a451818b38e383e16641eab55106ee2a5c52fb23",
      "answer_sha256": "43364dd989388c9ae8886057cb8c3143aad23fa4dc2170d71da97a4055cb95ed",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "A modern, efficient LOS should enable easy collaboration between relationship managers, credit analysts, credit committees, and senior executives through clear workflows and task management. Timely, transparent processes help teams make credit decisions faster.",
      "first_vendor_offset": 5120
    },
    {
      "id": "45bee61272e901c637ba",
      "record_id": "loan-origination-software|q9|Claude|1",
      "criterion_id": "task_management",
      "engine": "Claude",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3582,
      "end": 3843,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "657514c2b080747bd4063a20a451818b38e383e16641eab55106ee2a5c52fb23",
      "answer_sha256": "43364dd989388c9ae8886057cb8c3143aad23fa4dc2170d71da97a4055cb95ed",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "A modern, efficient LOS should enable easy collaboration between relationship managers, credit analysts, credit committees, and senior executives through clear workflows and task management. Timely, transparent processes help teams make credit decisions faster.",
      "first_vendor_offset": 5120
    },
    {
      "id": "fdd87302ce9809453bcf",
      "record_id": "loan-origination-software|q9|Claude|1",
      "criterion_id": "totalcost",
      "engine": "Claude",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3887,
      "end": 4000,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "1fdd8555394da68d2b585e8ff92c5b4919c38db46b62797571c209e56bef6931",
      "answer_sha256": "43364dd989388c9ae8886057cb8c3143aad23fa4dc2170d71da97a4055cb95ed",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Calculate the total cost — look past the initial license fee and add implementation costs and factor in training.",
      "first_vendor_offset": 5120
    },
    {
      "id": "a63005e3434c4deed668",
      "record_id": "loan-origination-software|q9|Claude|1",
      "criterion_id": "pricing_units",
      "engine": "Claude",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 4003,
      "end": 4117,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "2c0a7e064d92d931d787516ca588802103fa8c6a746e0f848dd3580581b49df9",
      "answer_sha256": "43364dd989388c9ae8886057cb8c3143aad23fa4dc2170d71da97a4055cb95ed",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "In finance, many vendors charge extra depending on user count, portfolio growth, hidden fees, and contract length.",
      "first_vendor_offset": 5120
    },
    {
      "id": "d2de5bae119d9cd744de",
      "record_id": "loan-origination-software|q9|Claude|1",
      "criterion_id": "contract_length",
      "engine": "Claude",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 4003,
      "end": 4117,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "2c0a7e064d92d931d787516ca588802103fa8c6a746e0f848dd3580581b49df9",
      "answer_sha256": "43364dd989388c9ae8886057cb8c3143aad23fa4dc2170d71da97a4055cb95ed",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "In finance, many vendors charge extra depending on user count, portfolio growth, hidden fees, and contract length.",
      "first_vendor_offset": 5120
    },
    {
      "id": "3e0332f9a86f89833a19",
      "record_id": "loan-origination-software|q9|Claude|1",
      "criterion_id": "vendor_experience",
      "engine": "Claude",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 4168,
      "end": 4400,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "453269c70559992477b30b7f8a2a563af06c7307c8de0a43dca33767134a41c5",
      "answer_sha256": "43364dd989388c9ae8886057cb8c3143aad23fa4dc2170d71da97a4055cb95ed",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Choose a provider with a strong track record in the financial industry and a deep expertise of lending workflows. References, case studies, and hands-on implementation support are all valuable indicators of a provider's credibility.",
      "first_vendor_offset": 5120
    },
    {
      "id": "e6bd8634093a5759dfcd",
      "record_id": "loan-origination-software|q9|Claude|1",
      "criterion_id": "references_general",
      "engine": "Claude",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 4168,
      "end": 4400,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "453269c70559992477b30b7f8a2a563af06c7307c8de0a43dca33767134a41c5",
      "answer_sha256": "43364dd989388c9ae8886057cb8c3143aad23fa4dc2170d71da97a4055cb95ed",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Choose a provider with a strong track record in the financial industry and a deep expertise of lending workflows. References, case studies, and hands-on implementation support are all valuable indicators of a provider's credibility.",
      "first_vendor_offset": 5120
    },
    {
      "id": "47d8266ee9729c6e50bf",
      "record_id": "loan-origination-software|q9|Claude|1",
      "criterion_id": "onboarding_help",
      "engine": "Claude",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 4168,
      "end": 4400,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "453269c70559992477b30b7f8a2a563af06c7307c8de0a43dca33767134a41c5",
      "answer_sha256": "43364dd989388c9ae8886057cb8c3143aad23fa4dc2170d71da97a4055cb95ed",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Choose a provider with a strong track record in the financial industry and a deep expertise of lending workflows. References, case studies, and hands-on implementation support are all valuable indicators of a provider's credibility.",
      "first_vendor_offset": 5120
    },
    {
      "id": "0a5ce0fe5ed47452a46a",
      "record_id": "loan-origination-software|q9|Claude|1",
      "criterion_id": "vendor_experience",
      "engine": "Claude",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 4403,
      "end": 4600,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "69cf3fe36d551430aeb82b60d7bd59da8bce92a48b2daa33a0e9fbaf1f807bec",
      "answer_sha256": "43364dd989388c9ae8886057cb8c3143aad23fa4dc2170d71da97a4055cb95ed",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Seek out a provider with a solid track record in implementation and advisory services, and look for deep industry experience. Your LOS partner can — and should — serve as an extension of your team.",
      "first_vendor_offset": 5120
    },
    {
      "id": "6cd9d148981799564687",
      "record_id": "loan-origination-software|q9|Claude|1",
      "criterion_id": "advisory_support",
      "engine": "Claude",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 4403,
      "end": 4600,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "69cf3fe36d551430aeb82b60d7bd59da8bce92a48b2daa33a0e9fbaf1f807bec",
      "answer_sha256": "43364dd989388c9ae8886057cb8c3143aad23fa4dc2170d71da97a4055cb95ed",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Seek out a provider with a solid track record in implementation and advisory services, and look for deep industry experience. Your LOS partner can — and should — serve as an extension of your team.",
      "first_vendor_offset": 5120
    },
    {
      "id": "c449953ab6ebd92deb77",
      "record_id": "loan-origination-software|q9|Claude|1",
      "criterion_id": "origination_complete",
      "engine": "Claude",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 4646,
      "end": 4933,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "2a85a5bb1df7ddce9d0af715079fb0fb25fb04884ce2b8634e32ba90effe4f42",
      "answer_sha256": "43364dd989388c9ae8886057cb8c3143aad23fa4dc2170d71da97a4055cb95ed",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "As you research an LOS, be sure to look for a complete, end-to-end solution — one that handles today's issues and tomorrow's opportunities. Look for a robust combination of features and functionality rather than one piece of software that solves only a portion of your origination needs.",
      "first_vendor_offset": 5120
    },
    {
      "id": "2a9aef6cfa9d8e2dc201",
      "record_id": "loan-origination-software|q9|Claude|1",
      "criterion_id": "nocode",
      "engine": "Claude",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2866,
      "end": 3176,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "e6c4db88e017c93cd02926fb097c2095f7b513344c660373f26dd6f983f546f7",
      "answer_sha256": "43364dd989388c9ae8886057cb8c3143aad23fa4dc2170d71da97a4055cb95ed",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Customization requires writing new code or modifying core code to enable unique functionality, which takes time, costs more, and requires ongoing maintenance. On the other hand, configuration uses the system's built-in tools to make adjustments so that you can rapidly design, launch, and service new programs.",
      "first_vendor_offset": 5120
    },
    {
      "id": "62edb7eaabf20f7b1644",
      "record_id": "loan-origination-software|q9|Claude|1",
      "criterion_id": "system_config",
      "engine": "Claude",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2866,
      "end": 3176,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "e6c4db88e017c93cd02926fb097c2095f7b513344c660373f26dd6f983f546f7",
      "answer_sha256": "43364dd989388c9ae8886057cb8c3143aad23fa4dc2170d71da97a4055cb95ed",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Customization requires writing new code or modifying core code to enable unique functionality, which takes time, costs more, and requires ongoing maintenance. On the other hand, configuration uses the system's built-in tools to make adjustments so that you can rapidly design, launch, and service new programs.",
      "first_vendor_offset": 5120
    },
    {
      "id": "33f4624914c29d942ff3",
      "record_id": "loan-origination-software|q9|Claude|2",
      "criterion_id": "fit",
      "engine": "Claude",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 213,
      "end": 588,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "73bdfe660a0b31df90381e1509f15a6adb8f7befb277f9ea9c0efd2139fbf0ec",
      "answer_sha256": "75ac13f1e2dd9bedff282c6dc440cb96d3f24a0eb6273df3a6f0c7215a097902",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Start with your loan types. Commercial loan origination software handles complex business structures and multiple guarantors. Consumer loan origination software focuses on high-volume speed. Mortgage loan origination software manages heavy compliance requirements. Small business loan origination software sits in the middle. Pick the system built for your specific products.",
      "first_vendor_offset": 5573
    },
    {
      "id": "4a232bce5be2ee5790f7",
      "record_id": "loan-origination-software|q9|Claude|2",
      "criterion_id": "decision_rules",
      "engine": "Claude",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 643,
      "end": 1119,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "9a8fbe70079b37825333208cc4d2368c1181d4e6bb06421fd095afec057ac294",
      "answer_sha256": "75ac13f1e2dd9bedff282c6dc440cb96d3f24a0eb6273df3a6f0c7215a097902",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "If compliance is a top priority, look for features like pre-built decision rules that flag policy exceptions, automated alerts that notify your team when applications fall outside compliance parameters, dynamic workflows that adjust to regulatory requirements by product type or location, tamper-resistant audit trails that record all changes to an application, and built-in notifications that ensure applicants receive required disclosures and adverse action notices on time.",
      "first_vendor_offset": 5573
    },
    {
      "id": "d1158d0b6c2bd7aba139",
      "record_id": "loan-origination-software|q9|Claude|2",
      "criterion_id": "exception_alerts",
      "engine": "Claude",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 643,
      "end": 1119,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "9a8fbe70079b37825333208cc4d2368c1181d4e6bb06421fd095afec057ac294",
      "answer_sha256": "75ac13f1e2dd9bedff282c6dc440cb96d3f24a0eb6273df3a6f0c7215a097902",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "If compliance is a top priority, look for features like pre-built decision rules that flag policy exceptions, automated alerts that notify your team when applications fall outside compliance parameters, dynamic workflows that adjust to regulatory requirements by product type or location, tamper-resistant audit trails that record all changes to an application, and built-in notifications that ensure applicants receive required disclosures and adverse action notices on time.",
      "first_vendor_offset": 5573
    },
    {
      "id": "8c52de1e288e9284a4a2",
      "record_id": "loan-origination-software|q9|Claude|2",
      "criterion_id": "compliance",
      "engine": "Claude",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 643,
      "end": 1119,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "9a8fbe70079b37825333208cc4d2368c1181d4e6bb06421fd095afec057ac294",
      "answer_sha256": "75ac13f1e2dd9bedff282c6dc440cb96d3f24a0eb6273df3a6f0c7215a097902",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "If compliance is a top priority, look for features like pre-built decision rules that flag policy exceptions, automated alerts that notify your team when applications fall outside compliance parameters, dynamic workflows that adjust to regulatory requirements by product type or location, tamper-resistant audit trails that record all changes to an application, and built-in notifications that ensure applicants receive required disclosures and adverse action notices on time.",
      "first_vendor_offset": 5573
    },
    {
      "id": "d07614392ae377e886ad",
      "record_id": "loan-origination-software|q9|Claude|2",
      "criterion_id": "jurisdiction_config",
      "engine": "Claude",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 643,
      "end": 1119,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "9a8fbe70079b37825333208cc4d2368c1181d4e6bb06421fd095afec057ac294",
      "answer_sha256": "75ac13f1e2dd9bedff282c6dc440cb96d3f24a0eb6273df3a6f0c7215a097902",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "If compliance is a top priority, look for features like pre-built decision rules that flag policy exceptions, automated alerts that notify your team when applications fall outside compliance parameters, dynamic workflows that adjust to regulatory requirements by product type or location, tamper-resistant audit trails that record all changes to an application, and built-in notifications that ensure applicants receive required disclosures and adverse action notices on time.",
      "first_vendor_offset": 5573
    },
    {
      "id": "dfbd3e5ea70e8ce043c3",
      "record_id": "loan-origination-software|q9|Claude|2",
      "criterion_id": "audit",
      "engine": "Claude",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 643,
      "end": 1119,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "9a8fbe70079b37825333208cc4d2368c1181d4e6bb06421fd095afec057ac294",
      "answer_sha256": "75ac13f1e2dd9bedff282c6dc440cb96d3f24a0eb6273df3a6f0c7215a097902",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "If compliance is a top priority, look for features like pre-built decision rules that flag policy exceptions, automated alerts that notify your team when applications fall outside compliance parameters, dynamic workflows that adjust to regulatory requirements by product type or location, tamper-resistant audit trails that record all changes to an application, and built-in notifications that ensure applicants receive required disclosures and adverse action notices on time.",
      "first_vendor_offset": 5573
    },
    {
      "id": "e07289d3faf6fee8fd11",
      "record_id": "loan-origination-software|q9|Claude|2",
      "criterion_id": "notices",
      "engine": "Claude",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 643,
      "end": 1119,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "9a8fbe70079b37825333208cc4d2368c1181d4e6bb06421fd095afec057ac294",
      "answer_sha256": "75ac13f1e2dd9bedff282c6dc440cb96d3f24a0eb6273df3a6f0c7215a097902",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "If compliance is a top priority, look for features like pre-built decision rules that flag policy exceptions, automated alerts that notify your team when applications fall outside compliance parameters, dynamic workflows that adjust to regulatory requirements by product type or location, tamper-resistant audit trails that record all changes to an application, and built-in notifications that ensure applicants receive required disclosures and adverse action notices on time.",
      "first_vendor_offset": 5573
    },
    {
      "id": "2d3e75421f945fa95dd4",
      "record_id": "loan-origination-software|q9|Claude|2",
      "criterion_id": "integrate",
      "engine": "Claude",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1164,
      "end": 1380,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "5702cf41a5ddc6a360a3549d75112c38deb591b0f269b221aeab4d6a1bd3262c",
      "answer_sha256": "75ac13f1e2dd9bedff282c6dc440cb96d3f24a0eb6273df3a6f0c7215a097902",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Your LOS should integrate seamlessly with core banking systems, credit bureaus, ID verification services, and third-party analytics tools. Robust APIs and pre-built connectors speed up deployment and reduce friction.",
      "first_vendor_offset": 5573
    },
    {
      "id": "b232dbe743c8bc74ed54",
      "record_id": "loan-origination-software|q9|Claude|2",
      "criterion_id": "api_connectors",
      "engine": "Claude",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1164,
      "end": 1380,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "5702cf41a5ddc6a360a3549d75112c38deb591b0f269b221aeab4d6a1bd3262c",
      "answer_sha256": "75ac13f1e2dd9bedff282c6dc440cb96d3f24a0eb6273df3a6f0c7215a097902",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Your LOS should integrate seamlessly with core banking systems, credit bureaus, ID verification services, and third-party analytics tools. Robust APIs and pre-built connectors speed up deployment and reduce friction.",
      "first_vendor_offset": 5573
    },
    {
      "id": "b70dbd8579dd1af1365d",
      "record_id": "loan-origination-software|q9|Claude|2",
      "criterion_id": "api",
      "engine": "Claude",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1383,
      "end": 1519,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "e86fae79819740487bc5c330c91fa657a7d4830b0f66f1b579173b1a8c7de070",
      "answer_sha256": "75ac13f1e2dd9bedff282c6dc440cb96d3f24a0eb6273df3a6f0c7215a097902",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Look at the API documentation, ask about pre-built connectors to your core banking platform, and test the connections before you commit.",
      "first_vendor_offset": 5573
    },
    {
      "id": "97d00f1d420187556210",
      "record_id": "loan-origination-software|q9|Claude|2",
      "criterion_id": "integrationproof",
      "engine": "Claude",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1383,
      "end": 1519,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "e86fae79819740487bc5c330c91fa657a7d4830b0f66f1b579173b1a8c7de070",
      "answer_sha256": "75ac13f1e2dd9bedff282c6dc440cb96d3f24a0eb6273df3a6f0c7215a097902",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Look at the API documentation, ask about pre-built connectors to your core banking platform, and test the connections before you commit.",
      "first_vendor_offset": 5573
    },
    {
      "id": "86dde17979b02ee2ff80",
      "record_id": "loan-origination-software|q9|Claude|2",
      "criterion_id": "volume_growth",
      "engine": "Claude",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1567,
      "end": 1671,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "bdbe9d3d5ff342c0cd3fa6e04932793ad919ff6a1dd6a83841cbdb3a39130af4",
      "answer_sha256": "75ac13f1e2dd9bedff282c6dc440cb96d3f24a0eb6273df3a6f0c7215a097902",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Plan for growth. Your volume will increase, and the system must handle peak demand without slowing down.",
      "first_vendor_offset": 5573
    },
    {
      "id": "99546770e9596156c03b",
      "record_id": "loan-origination-software|q9|Claude|2",
      "criterion_id": "performance",
      "engine": "Claude",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1567,
      "end": 1671,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "bdbe9d3d5ff342c0cd3fa6e04932793ad919ff6a1dd6a83841cbdb3a39130af4",
      "answer_sha256": "75ac13f1e2dd9bedff282c6dc440cb96d3f24a0eb6273df3a6f0c7215a097902",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Plan for growth. Your volume will increase, and the system must handle peak demand without slowing down.",
      "first_vendor_offset": 5573
    },
    {
      "id": "20cccc9556af2cb664fd",
      "record_id": "loan-origination-software|q9|Claude|2",
      "criterion_id": "cloud",
      "engine": "Claude",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1674,
      "end": 1820,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "49f9e7dcf3585712a681d0700ee06060185c8f9da2cd03e67359a6ef06be1684",
      "answer_sha256": "75ac13f1e2dd9bedff282c6dc440cb96d3f24a0eb6273df3a6f0c7215a097902",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Leveraging a cloud-based LOS also enables banks to quickly and easily scale processing capacity up or down to react to changes in customer demand.",
      "first_vendor_offset": 5573
    },
    {
      "id": "7541ebbf7c7b8c6335c0",
      "record_id": "loan-origination-software|q9|Claude|2",
      "criterion_id": "volume_growth",
      "engine": "Claude",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1674,
      "end": 1820,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "49f9e7dcf3585712a681d0700ee06060185c8f9da2cd03e67359a6ef06be1684",
      "answer_sha256": "75ac13f1e2dd9bedff282c6dc440cb96d3f24a0eb6273df3a6f0c7215a097902",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Leveraging a cloud-based LOS also enables banks to quickly and easily scale processing capacity up or down to react to changes in customer demand.",
      "first_vendor_offset": 5573
    },
    {
      "id": "53f53cef7b387083c522",
      "record_id": "loan-origination-software|q9|Claude|2",
      "criterion_id": "fit",
      "engine": "Claude",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1870,
      "end": 2277,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "425f336534e28973746718dc12ae45d554358e3c95db1623e60c83e21d17dc9e",
      "answer_sha256": "75ac13f1e2dd9bedff282c6dc440cb96d3f24a0eb6273df3a6f0c7215a097902",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "It's hard to know what capabilities you need in a loan origination system if you don't have your loan origination processes clearly defined. Without firm processes in place, you run the risk of an LOS dictating them, and that can hurt your business. Take the time to document your preferred processes, and then look for a lending software provider with the flexibility to configure the system to your needs.",
      "first_vendor_offset": 5573
    },
    {
      "id": "f87acfd2de2476ce04dd",
      "record_id": "loan-origination-software|q9|Claude|2",
      "criterion_id": "workflow_config",
      "engine": "Claude",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1870,
      "end": 2277,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "425f336534e28973746718dc12ae45d554358e3c95db1623e60c83e21d17dc9e",
      "answer_sha256": "75ac13f1e2dd9bedff282c6dc440cb96d3f24a0eb6273df3a6f0c7215a097902",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "It's hard to know what capabilities you need in a loan origination system if you don't have your loan origination processes clearly defined. Without firm processes in place, you run the risk of an LOS dictating them, and that can hurt your business. Take the time to document your preferred processes, and then look for a lending software provider with the flexibility to configure the system to your needs.",
      "first_vendor_offset": 5573
    },
    {
      "id": "6833d974a864952f9e64",
      "record_id": "loan-origination-software|q9|Claude|2",
      "criterion_id": "usable",
      "engine": "Claude",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2687,
      "end": 2889,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "555c8bfe5d1046ddbe43ca1ec2de6f253695d0604261c9268d083b2de4c5731d",
      "answer_sha256": "75ac13f1e2dd9bedff282c6dc440cb96d3f24a0eb6273df3a6f0c7215a097902",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "A clean, intuitive design boosts productivity and reduces training time. Prioritize platforms that offer user-friendly experiences for both lenders and borrowers to ensure satisfaction across the board.",
      "first_vendor_offset": 5573
    },
    {
      "id": "5d5e6242a366eb60d4c9",
      "record_id": "loan-origination-software|q9|Claude|2",
      "criterion_id": "risk_management",
      "engine": "Claude",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2938,
      "end": 3282,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "4f6fc32263f76262ded71e1cf8f37e68b800e998a21b6e57d278d63133e7b759",
      "answer_sha256": "75ac13f1e2dd9bedff282c6dc440cb96d3f24a0eb6273df3a6f0c7215a097902",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "World-class loan origination systems come equipped with proven end-to-end risk management capabilities, allowing banks to protect themselves from unreliable borrowers, make smarter credit decisions, and improve profitability. They also enable lenders to balance credit risk with loan speed, volume, and quality, and thus outperform competitors.",
      "first_vendor_offset": 5573
    },
    {
      "id": "a62f527d7e8070f2adbc",
      "record_id": "loan-origination-software|q9|Claude|2",
      "criterion_id": "collaboration",
      "engine": "Claude",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3335,
      "end": 3732,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "d8809b677a51ce0a6c4bdae7afba074e6ffaa40574794f44fcdea507792d69dc",
      "answer_sha256": "75ac13f1e2dd9bedff282c6dc440cb96d3f24a0eb6273df3a6f0c7215a097902",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "A loan origination process in the branch and back office involves the efforts of multiple roles within the credit and risk departments. A modern, efficient LOS should enable easy collaboration between relationship managers, credit analysts, credit committees, and senior executives through clear workflows and task management. Timely, transparent processes help teams make credit decisions faster.",
      "first_vendor_offset": 5573
    },
    {
      "id": "546cafdab9c016da9e0e",
      "record_id": "loan-origination-software|q9|Claude|2",
      "criterion_id": "task_management",
      "engine": "Claude",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3335,
      "end": 3732,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "d8809b677a51ce0a6c4bdae7afba074e6ffaa40574794f44fcdea507792d69dc",
      "answer_sha256": "75ac13f1e2dd9bedff282c6dc440cb96d3f24a0eb6273df3a6f0c7215a097902",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "A loan origination process in the branch and back office involves the efforts of multiple roles within the credit and risk departments. A modern, efficient LOS should enable easy collaboration between relationship managers, credit analysts, credit committees, and senior executives through clear workflows and task management. Timely, transparent processes help teams make credit decisions faster.",
      "first_vendor_offset": 5573
    },
    {
      "id": "65277045a453892ab01d",
      "record_id": "loan-origination-software|q9|Claude|2",
      "criterion_id": "multi_channel",
      "engine": "Claude",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3782,
      "end": 4119,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "4b6573d947501c762340ea60ef2e4029ccbfa5994585f829f3372cf90868ed26",
      "answer_sha256": "75ac13f1e2dd9bedff282c6dc440cb96d3f24a0eb6273df3a6f0c7215a097902",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Digitally-savvy Millennials and Gen Z'ers are increasingly preferring mobile methods of engagement. To stay on top of evolving market trends, banks need to ensure that their LOS can seamlessly connect to any digital self-service channel for consumers or employees, preferably through an integrated, omni-channel digital banking platform.",
      "first_vendor_offset": 5573
    },
    {
      "id": "6271ae267707d4028837",
      "record_id": "loan-origination-software|q9|Claude|2",
      "criterion_id": "mobile_access",
      "engine": "Claude",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3782,
      "end": 4119,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "4b6573d947501c762340ea60ef2e4029ccbfa5994585f829f3372cf90868ed26",
      "answer_sha256": "75ac13f1e2dd9bedff282c6dc440cb96d3f24a0eb6273df3a6f0c7215a097902",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Digitally-savvy Millennials and Gen Z'ers are increasingly preferring mobile methods of engagement. To stay on top of evolving market trends, banks need to ensure that their LOS can seamlessly connect to any digital self-service channel for consumers or employees, preferably through an integrated, omni-channel digital banking platform.",
      "first_vendor_offset": 5573
    },
    {
      "id": "ea4beb80bd787a6ddfb8",
      "record_id": "loan-origination-software|q9|Claude|2",
      "criterion_id": "channel_connections",
      "engine": "Claude",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3782,
      "end": 4119,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "4b6573d947501c762340ea60ef2e4029ccbfa5994585f829f3372cf90868ed26",
      "answer_sha256": "75ac13f1e2dd9bedff282c6dc440cb96d3f24a0eb6273df3a6f0c7215a097902",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Digitally-savvy Millennials and Gen Z'ers are increasingly preferring mobile methods of engagement. To stay on top of evolving market trends, banks need to ensure that their LOS can seamlessly connect to any digital self-service channel for consumers or employees, preferably through an integrated, omni-channel digital banking platform.",
      "first_vendor_offset": 5573
    },
    {
      "id": "545699cc94fdeba752ff",
      "record_id": "loan-origination-software|q9|Claude|2",
      "criterion_id": "architecture",
      "engine": "Claude",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 4159,
      "end": 4392,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "620da66307861231d83c788c111e2b1ae245d4cd8412c506fc7f88c409b6e82a",
      "answer_sha256": "75ac13f1e2dd9bedff282c6dc440cb96d3f24a0eb6273df3a6f0c7215a097902",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "When deciding on deployment, consider that cloud-native platforms update faster and scale easier, on-premise systems give you more control over your data, and hybrid models offer flexibility. Match the deployment to your IT strategy.",
      "first_vendor_offset": 5573
    },
    {
      "id": "7a92525bbd72d631f3fb",
      "record_id": "loan-origination-software|q9|Claude|2",
      "criterion_id": "totalcost",
      "engine": "Claude",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 4437,
      "end": 4548,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "7201642f556a9c482a27f63cd0dc551c9caf51a90436f8380ebda1884542d412",
      "answer_sha256": "75ac13f1e2dd9bedff282c6dc440cb96d3f24a0eb6273df3a6f0c7215a097902",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Calculate total cost by looking past the initial license fee — add implementation costs and factor in training.",
      "first_vendor_offset": 5573
    },
    {
      "id": "8a7fc87c0d66afdd24cb",
      "record_id": "loan-origination-software|q9|Claude|2",
      "criterion_id": "pricing_units",
      "engine": "Claude",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 4551,
      "end": 4665,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "2c0a7e064d92d931d787516ca588802103fa8c6a746e0f848dd3580581b49df9",
      "answer_sha256": "75ac13f1e2dd9bedff282c6dc440cb96d3f24a0eb6273df3a6f0c7215a097902",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "In finance, many vendors charge extra depending on user count, portfolio growth, hidden fees, and contract length.",
      "first_vendor_offset": 5573
    },
    {
      "id": "2ea13d71cc1c5efc11d4",
      "record_id": "loan-origination-software|q9|Claude|2",
      "criterion_id": "contract_length",
      "engine": "Claude",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 4551,
      "end": 4665,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "2c0a7e064d92d931d787516ca588802103fa8c6a746e0f848dd3580581b49df9",
      "answer_sha256": "75ac13f1e2dd9bedff282c6dc440cb96d3f24a0eb6273df3a6f0c7215a097902",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "In finance, many vendors charge extra depending on user count, portfolio growth, hidden fees, and contract length.",
      "first_vendor_offset": 5573
    },
    {
      "id": "9aac23cc19a87b0bb273",
      "record_id": "loan-origination-software|q9|Claude|2",
      "criterion_id": "vendor_experience",
      "engine": "Claude",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 4718,
      "end": 4948,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "3a82caf50f9c3e2101f3d13d5617c268fb8a7b4fdbe6e24fe42b5aee7f941c8a",
      "answer_sha256": "75ac13f1e2dd9bedff282c6dc440cb96d3f24a0eb6273df3a6f0c7215a097902",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Choose a provider with a strong track record in the financial industry and deep expertise in lending workflows. References, case studies, and hands-on implementation support are all valuable indicators of a provider's credibility.",
      "first_vendor_offset": 5573
    },
    {
      "id": "8343fbfcbce2c9c88b3a",
      "record_id": "loan-origination-software|q9|Claude|2",
      "criterion_id": "references_general",
      "engine": "Claude",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 4718,
      "end": 4948,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "3a82caf50f9c3e2101f3d13d5617c268fb8a7b4fdbe6e24fe42b5aee7f941c8a",
      "answer_sha256": "75ac13f1e2dd9bedff282c6dc440cb96d3f24a0eb6273df3a6f0c7215a097902",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Choose a provider with a strong track record in the financial industry and deep expertise in lending workflows. References, case studies, and hands-on implementation support are all valuable indicators of a provider's credibility.",
      "first_vendor_offset": 5573
    },
    {
      "id": "0731f01fd30bf5a6371d",
      "record_id": "loan-origination-software|q9|Claude|2",
      "criterion_id": "onboarding_help",
      "engine": "Claude",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 4718,
      "end": 4948,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "3a82caf50f9c3e2101f3d13d5617c268fb8a7b4fdbe6e24fe42b5aee7f941c8a",
      "answer_sha256": "75ac13f1e2dd9bedff282c6dc440cb96d3f24a0eb6273df3a6f0c7215a097902",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Choose a provider with a strong track record in the financial industry and deep expertise in lending workflows. References, case studies, and hands-on implementation support are all valuable indicators of a provider's credibility.",
      "first_vendor_offset": 5573
    },
    {
      "id": "64eeedb5c004d8bc469e",
      "record_id": "loan-origination-software|q9|Claude|2",
      "criterion_id": "vendor_viability",
      "engine": "Claude",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 4951,
      "end": 5040,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "92af3ed2bd1363dfd15ef080accb35755bed95f784c7316aaa72a1477d80edd4",
      "answer_sha256": "75ac13f1e2dd9bedff282c6dc440cb96d3f24a0eb6273df3a6f0c7215a097902",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Look for a provider that's committed to your long-term success, not just a one-time sale.",
      "first_vendor_offset": 5573
    },
    {
      "id": "da632aaf5a661b1dae54",
      "record_id": "loan-origination-software|q9|Claude|2",
      "criterion_id": "origination_complete",
      "engine": "Claude",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 5086,
      "end": 5373,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "2a85a5bb1df7ddce9d0af715079fb0fb25fb04884ce2b8634e32ba90effe4f42",
      "answer_sha256": "75ac13f1e2dd9bedff282c6dc440cb96d3f24a0eb6273df3a6f0c7215a097902",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "As you research an LOS, be sure to look for a complete, end-to-end solution — one that handles today's issues and tomorrow's opportunities. Look for a robust combination of features and functionality rather than one piece of software that solves only a portion of your origination needs.",
      "first_vendor_offset": 5573
    },
    {
      "id": "02f0d22f19310a9089dc",
      "record_id": "loan-origination-software|q9|Claude|2",
      "criterion_id": "nocode",
      "engine": "Claude",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2281,
      "end": 2646,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "55ee0d7ad1f8b78e3964328f094a7351812be1ddde98f8b9ce435c46ab4bce75",
      "answer_sha256": "75ac13f1e2dd9bedff282c6dc440cb96d3f24a0eb6273df3a6f0c7215a097902",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "While customization sounds appealing on the surface, it requires writing new code or modifying core code to enable unique functionality — which takes time, costs more, and will require ongoing maintenance support. On the other hand, configuration uses the system's built-in tools to make adjustments so that you can rapidly design, launch, and service new programs.",
      "first_vendor_offset": 5573
    },
    {
      "id": "564e584ddae929741a76",
      "record_id": "loan-origination-software|q9|Claude|2",
      "criterion_id": "system_config",
      "engine": "Claude",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2281,
      "end": 2646,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "55ee0d7ad1f8b78e3964328f094a7351812be1ddde98f8b9ce435c46ab4bce75",
      "answer_sha256": "75ac13f1e2dd9bedff282c6dc440cb96d3f24a0eb6273df3a6f0c7215a097902",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "While customization sounds appealing on the surface, it requires writing new code or modifying core code to enable unique functionality — which takes time, costs more, and will require ongoing maintenance support. On the other hand, configuration uses the system's built-in tools to make adjustments so that you can rapidly design, launch, and service new programs.",
      "first_vendor_offset": 5573
    },
    {
      "id": "ab78d0962ffc8c69a7a9",
      "record_id": "loan-origination-software|q9|Claude|3",
      "criterion_id": "fit",
      "engine": "Claude",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 206,
      "end": 383,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "3e32e6f951eb6d08c9fc1e838b1c736f149ed8a404a7caef69b45ccf06decccd",
      "answer_sha256": "631b8dd6bc694e4c8b6e9f3b6abf0a411478c344d6012124db75647505a18531",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Different LOS platforms handle auto, personal, commercial, and specialty lending differently. Knowing your product mix helps you avoid systems that are not built for your needs.",
      "first_vendor_offset": 5045
    },
    {
      "id": "7e5a232237386001dbd8",
      "record_id": "loan-origination-software|q9|Claude|3",
      "criterion_id": "decision_rules",
      "engine": "Claude",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 753,
      "end": 1229,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "9a8fbe70079b37825333208cc4d2368c1181d4e6bb06421fd095afec057ac294",
      "answer_sha256": "631b8dd6bc694e4c8b6e9f3b6abf0a411478c344d6012124db75647505a18531",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "If compliance is a top priority, look for features like pre-built decision rules that flag policy exceptions, automated alerts that notify your team when applications fall outside compliance parameters, dynamic workflows that adjust to regulatory requirements by product type or location, tamper-resistant audit trails that record all changes to an application, and built-in notifications that ensure applicants receive required disclosures and adverse action notices on time.",
      "first_vendor_offset": 5045
    },
    {
      "id": "6cff88eaeeec127004c4",
      "record_id": "loan-origination-software|q9|Claude|3",
      "criterion_id": "exception_alerts",
      "engine": "Claude",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 753,
      "end": 1229,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "9a8fbe70079b37825333208cc4d2368c1181d4e6bb06421fd095afec057ac294",
      "answer_sha256": "631b8dd6bc694e4c8b6e9f3b6abf0a411478c344d6012124db75647505a18531",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "If compliance is a top priority, look for features like pre-built decision rules that flag policy exceptions, automated alerts that notify your team when applications fall outside compliance parameters, dynamic workflows that adjust to regulatory requirements by product type or location, tamper-resistant audit trails that record all changes to an application, and built-in notifications that ensure applicants receive required disclosures and adverse action notices on time.",
      "first_vendor_offset": 5045
    },
    {
      "id": "fe89737a15f89b5d82a4",
      "record_id": "loan-origination-software|q9|Claude|3",
      "criterion_id": "compliance",
      "engine": "Claude",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 753,
      "end": 1229,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "9a8fbe70079b37825333208cc4d2368c1181d4e6bb06421fd095afec057ac294",
      "answer_sha256": "631b8dd6bc694e4c8b6e9f3b6abf0a411478c344d6012124db75647505a18531",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "If compliance is a top priority, look for features like pre-built decision rules that flag policy exceptions, automated alerts that notify your team when applications fall outside compliance parameters, dynamic workflows that adjust to regulatory requirements by product type or location, tamper-resistant audit trails that record all changes to an application, and built-in notifications that ensure applicants receive required disclosures and adverse action notices on time.",
      "first_vendor_offset": 5045
    },
    {
      "id": "8c738bdb6595f50e6ff5",
      "record_id": "loan-origination-software|q9|Claude|3",
      "criterion_id": "jurisdiction_config",
      "engine": "Claude",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 753,
      "end": 1229,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "9a8fbe70079b37825333208cc4d2368c1181d4e6bb06421fd095afec057ac294",
      "answer_sha256": "631b8dd6bc694e4c8b6e9f3b6abf0a411478c344d6012124db75647505a18531",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "If compliance is a top priority, look for features like pre-built decision rules that flag policy exceptions, automated alerts that notify your team when applications fall outside compliance parameters, dynamic workflows that adjust to regulatory requirements by product type or location, tamper-resistant audit trails that record all changes to an application, and built-in notifications that ensure applicants receive required disclosures and adverse action notices on time.",
      "first_vendor_offset": 5045
    },
    {
      "id": "82196234490edb39a63d",
      "record_id": "loan-origination-software|q9|Claude|3",
      "criterion_id": "audit",
      "engine": "Claude",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 753,
      "end": 1229,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "9a8fbe70079b37825333208cc4d2368c1181d4e6bb06421fd095afec057ac294",
      "answer_sha256": "631b8dd6bc694e4c8b6e9f3b6abf0a411478c344d6012124db75647505a18531",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "If compliance is a top priority, look for features like pre-built decision rules that flag policy exceptions, automated alerts that notify your team when applications fall outside compliance parameters, dynamic workflows that adjust to regulatory requirements by product type or location, tamper-resistant audit trails that record all changes to an application, and built-in notifications that ensure applicants receive required disclosures and adverse action notices on time.",
      "first_vendor_offset": 5045
    },
    {
      "id": "d276589ac8774d7ab223",
      "record_id": "loan-origination-software|q9|Claude|3",
      "criterion_id": "notices",
      "engine": "Claude",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 753,
      "end": 1229,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "9a8fbe70079b37825333208cc4d2368c1181d4e6bb06421fd095afec057ac294",
      "answer_sha256": "631b8dd6bc694e4c8b6e9f3b6abf0a411478c344d6012124db75647505a18531",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "If compliance is a top priority, look for features like pre-built decision rules that flag policy exceptions, automated alerts that notify your team when applications fall outside compliance parameters, dynamic workflows that adjust to regulatory requirements by product type or location, tamper-resistant audit trails that record all changes to an application, and built-in notifications that ensure applicants receive required disclosures and adverse action notices on time.",
      "first_vendor_offset": 5045
    },
    {
      "id": "4942fdb37fa2c1ff5c4e",
      "record_id": "loan-origination-software|q9|Claude|3",
      "criterion_id": "integrate",
      "engine": "Claude",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1274,
      "end": 1490,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "5702cf41a5ddc6a360a3549d75112c38deb591b0f269b221aeab4d6a1bd3262c",
      "answer_sha256": "631b8dd6bc694e4c8b6e9f3b6abf0a411478c344d6012124db75647505a18531",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Your LOS should integrate seamlessly with core banking systems, credit bureaus, ID verification services, and third-party analytics tools. Robust APIs and pre-built connectors speed up deployment and reduce friction.",
      "first_vendor_offset": 5045
    },
    {
      "id": "c3c5c7302b601fe9100e",
      "record_id": "loan-origination-software|q9|Claude|3",
      "criterion_id": "api_connectors",
      "engine": "Claude",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1274,
      "end": 1490,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "5702cf41a5ddc6a360a3549d75112c38deb591b0f269b221aeab4d6a1bd3262c",
      "answer_sha256": "631b8dd6bc694e4c8b6e9f3b6abf0a411478c344d6012124db75647505a18531",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Your LOS should integrate seamlessly with core banking systems, credit bureaus, ID verification services, and third-party analytics tools. Robust APIs and pre-built connectors speed up deployment and reduce friction.",
      "first_vendor_offset": 5045
    },
    {
      "id": "8b19a26e1a90afd4b7fa",
      "record_id": "loan-origination-software|q9|Claude|3",
      "criterion_id": "api",
      "engine": "Claude",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1493,
      "end": 1629,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "e86fae79819740487bc5c330c91fa657a7d4830b0f66f1b579173b1a8c7de070",
      "answer_sha256": "631b8dd6bc694e4c8b6e9f3b6abf0a411478c344d6012124db75647505a18531",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Look at the API documentation, ask about pre-built connectors to your core banking platform, and test the connections before you commit.",
      "first_vendor_offset": 5045
    },
    {
      "id": "e15fd2b720701d196a61",
      "record_id": "loan-origination-software|q9|Claude|3",
      "criterion_id": "integrationproof",
      "engine": "Claude",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1493,
      "end": 1629,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "e86fae79819740487bc5c330c91fa657a7d4830b0f66f1b579173b1a8c7de070",
      "answer_sha256": "631b8dd6bc694e4c8b6e9f3b6abf0a411478c344d6012124db75647505a18531",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Look at the API documentation, ask about pre-built connectors to your core banking platform, and test the connections before you commit.",
      "first_vendor_offset": 5045
    },
    {
      "id": "3c3d2844ee6ddffa9093",
      "record_id": "loan-origination-software|q9|Claude|3",
      "criterion_id": "architecture",
      "engine": "Claude",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1680,
      "end": 1874,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "4dcf62dc9ac59948c04984520165ea142042268f5a4661f69eda73939c046d5f",
      "answer_sha256": "631b8dd6bc694e4c8b6e9f3b6abf0a411478c344d6012124db75647505a18531",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Cloud-native platforms update faster and scale easier, on-premise systems give you more control over your data, and hybrid models offer flexibility — so match the deployment to your IT strategy.",
      "first_vendor_offset": 5045
    },
    {
      "id": "061a339125bd4ee6df56",
      "record_id": "loan-origination-software|q9|Claude|3",
      "criterion_id": "cloud",
      "engine": "Claude",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1877,
      "end": 2023,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "49f9e7dcf3585712a681d0700ee06060185c8f9da2cd03e67359a6ef06be1684",
      "answer_sha256": "631b8dd6bc694e4c8b6e9f3b6abf0a411478c344d6012124db75647505a18531",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Leveraging a cloud-based LOS also enables banks to quickly and easily scale processing capacity up or down to react to changes in customer demand.",
      "first_vendor_offset": 5045
    },
    {
      "id": "308ef852052830054a09",
      "record_id": "loan-origination-software|q9|Claude|3",
      "criterion_id": "volume_growth",
      "engine": "Claude",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1877,
      "end": 2023,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "49f9e7dcf3585712a681d0700ee06060185c8f9da2cd03e67359a6ef06be1684",
      "answer_sha256": "631b8dd6bc694e4c8b6e9f3b6abf0a411478c344d6012124db75647505a18531",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Leveraging a cloud-based LOS also enables banks to quickly and easily scale processing capacity up or down to react to changes in customer demand.",
      "first_vendor_offset": 5045
    },
    {
      "id": "bd4f90e7dbe1a91cd0c3",
      "record_id": "loan-origination-software|q9|Claude|3",
      "criterion_id": "origination_complete",
      "engine": "Claude",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2068,
      "end": 2355,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "2a85a5bb1df7ddce9d0af715079fb0fb25fb04884ce2b8634e32ba90effe4f42",
      "answer_sha256": "631b8dd6bc694e4c8b6e9f3b6abf0a411478c344d6012124db75647505a18531",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "As you research an LOS, be sure to look for a complete, end-to-end solution — one that handles today's issues and tomorrow's opportunities. Look for a robust combination of features and functionality rather than one piece of software that solves only a portion of your origination needs.",
      "first_vendor_offset": 5045
    },
    {
      "id": "9abaef02046bc22f2428",
      "record_id": "loan-origination-software|q9|Claude|3",
      "criterion_id": "system_config",
      "engine": "Claude",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2409,
      "end": 2605,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "57acb03d04b19d99161fe23b2ff176419bb3f2bff82497b2c90c785abaf126cf",
      "answer_sha256": "631b8dd6bc694e4c8b6e9f3b6abf0a411478c344d6012124db75647505a18531",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Instead of rigid systems that force you to change processes to match their limitations, look for systems that can be configured to fit your needs and enable real-time data sharing between systems.",
      "first_vendor_offset": 5045
    },
    {
      "id": "25adcf56c72ca7e11930",
      "record_id": "loan-origination-software|q9|Claude|3",
      "criterion_id": "realtime_exchange",
      "engine": "Claude",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2409,
      "end": 2605,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "57acb03d04b19d99161fe23b2ff176419bb3f2bff82497b2c90c785abaf126cf",
      "answer_sha256": "631b8dd6bc694e4c8b6e9f3b6abf0a411478c344d6012124db75647505a18531",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Instead of rigid systems that force you to change processes to match their limitations, look for systems that can be configured to fit your needs and enable real-time data sharing between systems.",
      "first_vendor_offset": 5045
    },
    {
      "id": "199da3d56148ed5f9372",
      "record_id": "loan-origination-software|q9|Claude|3",
      "criterion_id": "risk_management",
      "engine": "Claude",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2945,
      "end": 3256,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "d16562a09e11ef03aee14da48e5d37e3bad46eb06d0f9e090901c2bb01386a84",
      "answer_sha256": "631b8dd6bc694e4c8b6e9f3b6abf0a411478c344d6012124db75647505a18531",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "World-class loan origination systems come equipped with proven end-to-end risk management capabilities, allowing banks to protect themselves from unreliable borrowers, make smarter credit decisions, and improve profitability. They also enable lenders to balance credit risk with loan speed, volume, and quality.",
      "first_vendor_offset": 5045
    },
    {
      "id": "cfbee180c63845b5439e",
      "record_id": "loan-origination-software|q9|Claude|3",
      "criterion_id": "usable",
      "engine": "Claude",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3306,
      "end": 3508,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "555c8bfe5d1046ddbe43ca1ec2de6f253695d0604261c9268d083b2de4c5731d",
      "answer_sha256": "631b8dd6bc694e4c8b6e9f3b6abf0a411478c344d6012124db75647505a18531",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "A clean, intuitive design boosts productivity and reduces training time. Prioritize platforms that offer user-friendly experiences for both lenders and borrowers to ensure satisfaction across the board.",
      "first_vendor_offset": 5045
    },
    {
      "id": "0f558e149f6646211950",
      "record_id": "loan-origination-software|q9|Claude|3",
      "criterion_id": "collaboration",
      "engine": "Claude",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3559,
      "end": 3956,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "d8809b677a51ce0a6c4bdae7afba074e6ffaa40574794f44fcdea507792d69dc",
      "answer_sha256": "631b8dd6bc694e4c8b6e9f3b6abf0a411478c344d6012124db75647505a18531",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "A loan origination process in the branch and back office involves the efforts of multiple roles within the credit and risk departments. A modern, efficient LOS should enable easy collaboration between relationship managers, credit analysts, credit committees, and senior executives through clear workflows and task management. Timely, transparent processes help teams make credit decisions faster.",
      "first_vendor_offset": 5045
    },
    {
      "id": "e8f7a02ad6dba39bf5a7",
      "record_id": "loan-origination-software|q9|Claude|3",
      "criterion_id": "task_management",
      "engine": "Claude",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3559,
      "end": 3956,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "d8809b677a51ce0a6c4bdae7afba074e6ffaa40574794f44fcdea507792d69dc",
      "answer_sha256": "631b8dd6bc694e4c8b6e9f3b6abf0a411478c344d6012124db75647505a18531",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "A loan origination process in the branch and back office involves the efforts of multiple roles within the credit and risk departments. A modern, efficient LOS should enable easy collaboration between relationship managers, credit analysts, credit committees, and senior executives through clear workflows and task management. Timely, transparent processes help teams make credit decisions faster.",
      "first_vendor_offset": 5045
    },
    {
      "id": "d27359d8732e171a4bd7",
      "record_id": "loan-origination-software|q9|Claude|3",
      "criterion_id": "totalcost",
      "engine": "Claude",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 4001,
      "end": 4116,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "8b1d349c0fdf58a1839fdffaf897efc68bf686e80461a6b0646ddbf606aa413e",
      "answer_sha256": "631b8dd6bc694e4c8b6e9f3b6abf0a411478c344d6012124db75647505a18531",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Calculate the total cost by looking past the initial license fee — add implementation costs and factor in training.",
      "first_vendor_offset": 5045
    },
    {
      "id": "3433775e97aff7d6c53a",
      "record_id": "loan-origination-software|q9|Claude|3",
      "criterion_id": "pricing_units",
      "engine": "Claude",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 4119,
      "end": 4233,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "2c0a7e064d92d931d787516ca588802103fa8c6a746e0f848dd3580581b49df9",
      "answer_sha256": "631b8dd6bc694e4c8b6e9f3b6abf0a411478c344d6012124db75647505a18531",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "In finance, many vendors charge extra depending on user count, portfolio growth, hidden fees, and contract length.",
      "first_vendor_offset": 5045
    },
    {
      "id": "01926c0e9e5ae4cad022",
      "record_id": "loan-origination-software|q9|Claude|3",
      "criterion_id": "contract_length",
      "engine": "Claude",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 4119,
      "end": 4233,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "2c0a7e064d92d931d787516ca588802103fa8c6a746e0f848dd3580581b49df9",
      "answer_sha256": "631b8dd6bc694e4c8b6e9f3b6abf0a411478c344d6012124db75647505a18531",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "In finance, many vendors charge extra depending on user count, portfolio growth, hidden fees, and contract length.",
      "first_vendor_offset": 5045
    },
    {
      "id": "4b781acdf2e58844f348",
      "record_id": "loan-origination-software|q9|Claude|3",
      "criterion_id": "vendor_experience",
      "engine": "Claude",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 4284,
      "end": 4516,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "453269c70559992477b30b7f8a2a563af06c7307c8de0a43dca33767134a41c5",
      "answer_sha256": "631b8dd6bc694e4c8b6e9f3b6abf0a411478c344d6012124db75647505a18531",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Choose a provider with a strong track record in the financial industry and a deep expertise of lending workflows. References, case studies, and hands-on implementation support are all valuable indicators of a provider's credibility.",
      "first_vendor_offset": 5045
    },
    {
      "id": "0c701b804537ffb16321",
      "record_id": "loan-origination-software|q9|Claude|3",
      "criterion_id": "references_general",
      "engine": "Claude",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 4284,
      "end": 4516,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "453269c70559992477b30b7f8a2a563af06c7307c8de0a43dca33767134a41c5",
      "answer_sha256": "631b8dd6bc694e4c8b6e9f3b6abf0a411478c344d6012124db75647505a18531",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Choose a provider with a strong track record in the financial industry and a deep expertise of lending workflows. References, case studies, and hands-on implementation support are all valuable indicators of a provider's credibility.",
      "first_vendor_offset": 5045
    },
    {
      "id": "4901041c0dacd6b44a29",
      "record_id": "loan-origination-software|q9|Claude|3",
      "criterion_id": "onboarding_help",
      "engine": "Claude",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 4284,
      "end": 4516,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "453269c70559992477b30b7f8a2a563af06c7307c8de0a43dca33767134a41c5",
      "answer_sha256": "631b8dd6bc694e4c8b6e9f3b6abf0a411478c344d6012124db75647505a18531",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Choose a provider with a strong track record in the financial industry and a deep expertise of lending workflows. References, case studies, and hands-on implementation support are all valuable indicators of a provider's credibility.",
      "first_vendor_offset": 5045
    },
    {
      "id": "6d3e9d3feca85c5288b5",
      "record_id": "loan-origination-software|q9|Claude|3",
      "criterion_id": "vendor_viability",
      "engine": "Claude",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 4519,
      "end": 4608,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "92af3ed2bd1363dfd15ef080accb35755bed95f784c7316aaa72a1477d80edd4",
      "answer_sha256": "631b8dd6bc694e4c8b6e9f3b6abf0a411478c344d6012124db75647505a18531",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Look for a provider that's committed to your long-term success, not just a one-time sale.",
      "first_vendor_offset": 5045
    },
    {
      "id": "8f94bf905c0711fbb7f0",
      "record_id": "loan-origination-software|q9|Claude|3",
      "criterion_id": "dataaccess",
      "engine": "Claude",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 4646,
      "end": 4795,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "6c29af464c0efe391c55c8652b666281bf0537132bb402dd5b9238308f73ab5c",
      "answer_sha256": "631b8dd6bc694e4c8b6e9f3b6abf0a411478c344d6012124db75647505a18531",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Modern loan origination systems generate massive data, but if your platform doesn't make that data accessible and actionable, it's not doing its job.",
      "first_vendor_offset": 5045
    },
    {
      "id": "8cd6ac6f6455665ea536",
      "record_id": "loan-origination-software|q9|Claude|3",
      "criterion_id": "fit",
      "engine": "Claude",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 4803,
      "end": 5045,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "0955841b1a53164391364939aa617098c07c2658a12db4fc1791068144997786",
      "answer_sha256": "631b8dd6bc694e4c8b6e9f3b6abf0a411478c344d6012124db75647505a18531",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "By carefully evaluating these factors — especially fit for your loan types, compliance tools, integrations, scalability, and total cost — you'll be well-positioned to select an LOS that supports both your current operations and future growth.",
      "first_vendor_offset": 5045
    },
    {
      "id": "2b57a6270cb5bd569e8f",
      "record_id": "loan-origination-software|q9|Claude|3",
      "criterion_id": "compliance",
      "engine": "Claude",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 4803,
      "end": 5045,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "0955841b1a53164391364939aa617098c07c2658a12db4fc1791068144997786",
      "answer_sha256": "631b8dd6bc694e4c8b6e9f3b6abf0a411478c344d6012124db75647505a18531",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "By carefully evaluating these factors — especially fit for your loan types, compliance tools, integrations, scalability, and total cost — you'll be well-positioned to select an LOS that supports both your current operations and future growth.",
      "first_vendor_offset": 5045
    },
    {
      "id": "cc40c1a2f82aade225b2",
      "record_id": "loan-origination-software|q9|Claude|3",
      "criterion_id": "integration_general",
      "engine": "Claude",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 4803,
      "end": 5045,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "0955841b1a53164391364939aa617098c07c2658a12db4fc1791068144997786",
      "answer_sha256": "631b8dd6bc694e4c8b6e9f3b6abf0a411478c344d6012124db75647505a18531",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "By carefully evaluating these factors — especially fit for your loan types, compliance tools, integrations, scalability, and total cost — you'll be well-positioned to select an LOS that supports both your current operations and future growth.",
      "first_vendor_offset": 5045
    },
    {
      "id": "216189a760213deb5319",
      "record_id": "loan-origination-software|q9|Claude|3",
      "criterion_id": "volume_growth",
      "engine": "Claude",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 4803,
      "end": 5045,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "0955841b1a53164391364939aa617098c07c2658a12db4fc1791068144997786",
      "answer_sha256": "631b8dd6bc694e4c8b6e9f3b6abf0a411478c344d6012124db75647505a18531",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "By carefully evaluating these factors — especially fit for your loan types, compliance tools, integrations, scalability, and total cost — you'll be well-positioned to select an LOS that supports both your current operations and future growth.",
      "first_vendor_offset": 5045
    },
    {
      "id": "72c020282dc63dc10b0c",
      "record_id": "loan-origination-software|q9|Claude|3",
      "criterion_id": "totalcost",
      "engine": "Claude",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 4803,
      "end": 5045,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "0955841b1a53164391364939aa617098c07c2658a12db4fc1791068144997786",
      "answer_sha256": "631b8dd6bc694e4c8b6e9f3b6abf0a411478c344d6012124db75647505a18531",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "By carefully evaluating these factors — especially fit for your loan types, compliance tools, integrations, scalability, and total cost — you'll be well-positioned to select an LOS that supports both your current operations and future growth.",
      "first_vendor_offset": 5045
    },
    {
      "id": "a185c457b89c1d23e556",
      "record_id": "loan-origination-software|q9|Claude|3",
      "criterion_id": "nocode",
      "engine": "Claude",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2608,
      "end": 2896,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "a1d933ccae5bff2863bf3ed484380fe42d44585cf6711c4b09375b0f2fd3efe1",
      "answer_sha256": "631b8dd6bc694e4c8b6e9f3b6abf0a411478c344d6012124db75647505a18531",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "While customization sounds appealing on the surface, it requires writing or modifying core code, which takes time, costs more, and requires ongoing maintenance. Configuration, on the other hand, uses the system's built-in tools so you can rapidly design, launch, and service new programs.",
      "first_vendor_offset": 5045
    },
    {
      "id": "1f73f30111277d50c956",
      "record_id": "loan-origination-software|q9|Claude|3",
      "criterion_id": "system_config",
      "engine": "Claude",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2608,
      "end": 2896,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "a1d933ccae5bff2863bf3ed484380fe42d44585cf6711c4b09375b0f2fd3efe1",
      "answer_sha256": "631b8dd6bc694e4c8b6e9f3b6abf0a411478c344d6012124db75647505a18531",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "While customization sounds appealing on the surface, it requires writing or modifying core code, which takes time, costs more, and requires ongoing maintenance. Configuration, on the other hand, uses the system's built-in tools so you can rapidly design, launch, and service new programs.",
      "first_vendor_offset": 5045
    },
    {
      "id": "5462b2c7c19d6ba98c10",
      "record_id": "loan-origination-software|q9|Google AI Mode|1",
      "criterion_id": "automation",
      "engine": "Google AI Mode",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 188,
      "end": 380,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "07a25517aa7d57440f0b684526c6f728c986b4c62c3c26a92bee089932034ab7",
      "answer_sha256": "06fd46948c9aa69184d9580b912a510c3988f6c0f90aa4a59c675457a07f160f",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Automation and Smart Workflows: Look for a system that automates repetitive tasks—such as document intake, data verification, and credit checks—to reduce processing time and operational costs.",
      "first_vendor_offset": 1711
    },
    {
      "id": "fd31b3ed0d56481442c0",
      "record_id": "loan-origination-software|q9|Google AI Mode|1",
      "criterion_id": "document_collection",
      "engine": "Google AI Mode",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 188,
      "end": 380,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "07a25517aa7d57440f0b684526c6f728c986b4c62c3c26a92bee089932034ab7",
      "answer_sha256": "06fd46948c9aa69184d9580b912a510c3988f6c0f90aa4a59c675457a07f160f",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Automation and Smart Workflows: Look for a system that automates repetitive tasks—such as document intake, data verification, and credit checks—to reduce processing time and operational costs.",
      "first_vendor_offset": 1711
    },
    {
      "id": "4e14372678383582837a",
      "record_id": "loan-origination-software|q9|Google AI Mode|1",
      "criterion_id": "data_verification",
      "engine": "Google AI Mode",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 188,
      "end": 380,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "07a25517aa7d57440f0b684526c6f728c986b4c62c3c26a92bee089932034ab7",
      "answer_sha256": "06fd46948c9aa69184d9580b912a510c3988f6c0f90aa4a59c675457a07f160f",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Automation and Smart Workflows: Look for a system that automates repetitive tasks—such as document intake, data verification, and credit checks—to reduce processing time and operational costs.",
      "first_vendor_offset": 1711
    },
    {
      "id": "051d6f2b319af984aadd",
      "record_id": "loan-origination-software|q9|Google AI Mode|1",
      "criterion_id": "workflow_config",
      "engine": "Google AI Mode",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 381,
      "end": 594,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "f69b847389a38f1fa9e75cf71c1e34b998b2e8e1b8e056dcd15dbd9089a82c8e",
      "answer_sha256": "06fd46948c9aa69184d9580b912a510c3988f6c0f90aa4a59c675457a07f160f",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Configurability and Customization: Your workflows are unique. The LOS should allow you to configure application flows, design custom rules, and adapt decision-making matrices without requiring heavy custom coding.",
      "first_vendor_offset": 1711
    },
    {
      "id": "8d5c3855e965cdd50bec",
      "record_id": "loan-origination-software|q9|Google AI Mode|1",
      "criterion_id": "nocode",
      "engine": "Google AI Mode",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 381,
      "end": 594,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "f69b847389a38f1fa9e75cf71c1e34b998b2e8e1b8e056dcd15dbd9089a82c8e",
      "answer_sha256": "06fd46948c9aa69184d9580b912a510c3988f6c0f90aa4a59c675457a07f160f",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Configurability and Customization: Your workflows are unique. The LOS should allow you to configure application flows, design custom rules, and adapt decision-making matrices without requiring heavy custom coding.",
      "first_vendor_offset": 1711
    },
    {
      "id": "195f43471d0fed66433e",
      "record_id": "loan-origination-software|q9|Google AI Mode|1",
      "criterion_id": "decision_rules",
      "engine": "Google AI Mode",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 381,
      "end": 594,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "f69b847389a38f1fa9e75cf71c1e34b998b2e8e1b8e056dcd15dbd9089a82c8e",
      "answer_sha256": "06fd46948c9aa69184d9580b912a510c3988f6c0f90aa4a59c675457a07f160f",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Configurability and Customization: Your workflows are unique. The LOS should allow you to configure application flows, design custom rules, and adapt decision-making matrices without requiring heavy custom coding.",
      "first_vendor_offset": 1711
    },
    {
      "id": "36c1d8bab503795ebd73",
      "record_id": "loan-origination-software|q9|Google AI Mode|1",
      "criterion_id": "integrate",
      "engine": "Google AI Mode",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 595,
      "end": 810,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "4f840926f649f4709772c9e58841061ae47a8c0a351e61cb6f2b27a62904bc41",
      "answer_sha256": "06fd46948c9aa69184d9580b912a510c3988f6c0f90aa4a59c675457a07f160f",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Seamless Integrations: The platform must integrate smoothly with your existing tech stack (core banking systems, credit bureaus, CRM, and document signing tools) to provide a unified 360-degree view of the customer.",
      "first_vendor_offset": 1711
    },
    {
      "id": "bde3eb7be3a4459504ef",
      "record_id": "loan-origination-software|q9|Google AI Mode|1",
      "criterion_id": "customer_view",
      "engine": "Google AI Mode",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 595,
      "end": 810,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "4f840926f649f4709772c9e58841061ae47a8c0a351e61cb6f2b27a62904bc41",
      "answer_sha256": "06fd46948c9aa69184d9580b912a510c3988f6c0f90aa4a59c675457a07f160f",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Seamless Integrations: The platform must integrate smoothly with your existing tech stack (core banking systems, credit bureaus, CRM, and document signing tools) to provide a unified 360-degree view of the customer.",
      "first_vendor_offset": 1711
    },
    {
      "id": "deecfedd7a8b39d05c16",
      "record_id": "loan-origination-software|q9|Google AI Mode|1",
      "criterion_id": "security_general",
      "engine": "Google AI Mode",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 811,
      "end": 1016,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "1c27e6c5961021d88dbee932bca082fdf205e5824651f9a209e0dc676d9d0866",
      "answer_sha256": "06fd46948c9aa69184d9580b912a510c3988f6c0f90aa4a59c675457a07f160f",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Security and Compliance: Ensure the system adheres to strict industry data security standards (encryption, role-based access controls) and automatically updates to reflect changing regulatory requirements.",
      "first_vendor_offset": 1711
    },
    {
      "id": "34f97c333520ef46a81f",
      "record_id": "loan-origination-software|q9|Google AI Mode|1",
      "criterion_id": "encrypt",
      "engine": "Google AI Mode",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 811,
      "end": 1016,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "1c27e6c5961021d88dbee932bca082fdf205e5824651f9a209e0dc676d9d0866",
      "answer_sha256": "06fd46948c9aa69184d9580b912a510c3988f6c0f90aa4a59c675457a07f160f",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Security and Compliance: Ensure the system adheres to strict industry data security standards (encryption, role-based access controls) and automatically updates to reflect changing regulatory requirements.",
      "first_vendor_offset": 1711
    },
    {
      "id": "dfc273d09af9874fb982",
      "record_id": "loan-origination-software|q9|Google AI Mode|1",
      "criterion_id": "permissions",
      "engine": "Google AI Mode",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 811,
      "end": 1016,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "1c27e6c5961021d88dbee932bca082fdf205e5824651f9a209e0dc676d9d0866",
      "answer_sha256": "06fd46948c9aa69184d9580b912a510c3988f6c0f90aa4a59c675457a07f160f",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Security and Compliance: Ensure the system adheres to strict industry data security standards (encryption, role-based access controls) and automatically updates to reflect changing regulatory requirements.",
      "first_vendor_offset": 1711
    },
    {
      "id": "4d874ead4c27e09e52b0",
      "record_id": "loan-origination-software|q9|Google AI Mode|1",
      "criterion_id": "reg_updates",
      "engine": "Google AI Mode",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 811,
      "end": 1016,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "1c27e6c5961021d88dbee932bca082fdf205e5824651f9a209e0dc676d9d0866",
      "answer_sha256": "06fd46948c9aa69184d9580b912a510c3988f6c0f90aa4a59c675457a07f160f",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Security and Compliance: Ensure the system adheres to strict industry data security standards (encryption, role-based access controls) and automatically updates to reflect changing regulatory requirements.",
      "first_vendor_offset": 1711
    },
    {
      "id": "053981529164dd8b18cb",
      "record_id": "loan-origination-software|q9|Google AI Mode|1",
      "criterion_id": "compliance",
      "engine": "Google AI Mode",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 811,
      "end": 1016,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "1c27e6c5961021d88dbee932bca082fdf205e5824651f9a209e0dc676d9d0866",
      "answer_sha256": "06fd46948c9aa69184d9580b912a510c3988f6c0f90aa4a59c675457a07f160f",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Security and Compliance: Ensure the system adheres to strict industry data security standards (encryption, role-based access controls) and automatically updates to reflect changing regulatory requirements.",
      "first_vendor_offset": 1711
    },
    {
      "id": "22a1ac4c89133e8a9f20",
      "record_id": "loan-origination-software|q9|Google AI Mode|1",
      "criterion_id": "staff_usable",
      "engine": "Google AI Mode",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1017,
      "end": 1210,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "6cdff916ba368c2f43140ee926205ec0279cfc3f44e2af4376883614418ee76b",
      "answer_sha256": "06fd46948c9aa69184d9580b912a510c3988f6c0f90aa4a59c675457a07f160f",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "User Experience (UX): A clean, intuitive interface for loan officers reduces training time, while a mobile-friendly, transparent portal for borrowers improves completion rates and satisfaction.",
      "first_vendor_offset": 1711
    },
    {
      "id": "25344e140bc8801e02fc",
      "record_id": "loan-origination-software|q9|Google AI Mode|1",
      "criterion_id": "borrower_usable",
      "engine": "Google AI Mode",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1017,
      "end": 1210,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "6cdff916ba368c2f43140ee926205ec0279cfc3f44e2af4376883614418ee76b",
      "answer_sha256": "06fd46948c9aa69184d9580b912a510c3988f6c0f90aa4a59c675457a07f160f",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "User Experience (UX): A clean, intuitive interface for loan officers reduces training time, while a mobile-friendly, transparent portal for borrowers improves completion rates and satisfaction.",
      "first_vendor_offset": 1711
    },
    {
      "id": "d54f2d9c26c2d53a40bc",
      "record_id": "loan-origination-software|q9|Google AI Mode|1",
      "criterion_id": "mobile_access",
      "engine": "Google AI Mode",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1017,
      "end": 1210,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "6cdff916ba368c2f43140ee926205ec0279cfc3f44e2af4376883614418ee76b",
      "answer_sha256": "06fd46948c9aa69184d9580b912a510c3988f6c0f90aa4a59c675457a07f160f",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "User Experience (UX): A clean, intuitive interface for loan officers reduces training time, while a mobile-friendly, transparent portal for borrowers improves completion rates and satisfaction.",
      "first_vendor_offset": 1711
    },
    {
      "id": "f146ba15f3a9bd9f1e06",
      "record_id": "loan-origination-software|q9|Google AI Mode|1",
      "criterion_id": "portal",
      "engine": "Google AI Mode",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1017,
      "end": 1210,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "6cdff916ba368c2f43140ee926205ec0279cfc3f44e2af4376883614418ee76b",
      "answer_sha256": "06fd46948c9aa69184d9580b912a510c3988f6c0f90aa4a59c675457a07f160f",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "User Experience (UX): A clean, intuitive interface for loan officers reduces training time, while a mobile-friendly, transparent portal for borrowers improves completion rates and satisfaction.",
      "first_vendor_offset": 1711
    },
    {
      "id": "1f57d824ef8982db1189",
      "record_id": "loan-origination-software|q9|Google AI Mode|1",
      "criterion_id": "volume_growth",
      "engine": "Google AI Mode",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1211,
      "end": 1352,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "2d050811cf1975e948605d7e8fd817f08108beb5c8a769a1f88f6b3080bd9cc8",
      "answer_sha256": "06fd46948c9aa69184d9580b912a510c3988f6c0f90aa4a59c675457a07f160f",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Scalability and Performance: Choose an architecture capable of handling growing loan volumes and seasonal spikes without latency or downtime.",
      "first_vendor_offset": 1711
    },
    {
      "id": "2a57e1e5d5fcd951f789",
      "record_id": "loan-origination-software|q9|Google AI Mode|1",
      "criterion_id": "performance",
      "engine": "Google AI Mode",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1211,
      "end": 1352,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "2d050811cf1975e948605d7e8fd817f08108beb5c8a769a1f88f6b3080bd9cc8",
      "answer_sha256": "06fd46948c9aa69184d9580b912a510c3988f6c0f90aa4a59c675457a07f160f",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Scalability and Performance: Choose an architecture capable of handling growing loan volumes and seasonal spikes without latency or downtime.",
      "first_vendor_offset": 1711
    },
    {
      "id": "2d47a437ddf348678641",
      "record_id": "loan-origination-software|q9|Google AI Mode|1",
      "criterion_id": "uptime_reliable",
      "engine": "Google AI Mode",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1211,
      "end": 1352,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "2d050811cf1975e948605d7e8fd817f08108beb5c8a769a1f88f6b3080bd9cc8",
      "answer_sha256": "06fd46948c9aa69184d9580b912a510c3988f6c0f90aa4a59c675457a07f160f",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Scalability and Performance: Choose an architecture capable of handling growing loan volumes and seasonal spikes without latency or downtime.",
      "first_vendor_offset": 1711
    },
    {
      "id": "fb5ad5da8f303cd7b7f8",
      "record_id": "loan-origination-software|q9|Google AI Mode|1",
      "criterion_id": "reportconfig",
      "engine": "Google AI Mode",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1353,
      "end": 1533,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "b9593c5f02507c692c3324e1b38ed5b3a02e975e1ef7aeb5a94879358a8700f5",
      "answer_sha256": "06fd46948c9aa69184d9580b912a510c3988f6c0f90aa4a59c675457a07f160f",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Robust Reporting and Analytics: Look for customizable dashboards and reporting tools that pull real-time data to help you track cycle times, bottlenecks, and portfolio performance.",
      "first_vendor_offset": 1711
    },
    {
      "id": "58222373690a6ea3d915",
      "record_id": "loan-origination-software|q9|Google AI Mode|1",
      "criterion_id": "report_general",
      "engine": "Google AI Mode",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1353,
      "end": 1533,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "b9593c5f02507c692c3324e1b38ed5b3a02e975e1ef7aeb5a94879358a8700f5",
      "answer_sha256": "06fd46948c9aa69184d9580b912a510c3988f6c0f90aa4a59c675457a07f160f",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Robust Reporting and Analytics: Look for customizable dashboards and reporting tools that pull real-time data to help you track cycle times, bottlenecks, and portfolio performance.",
      "first_vendor_offset": 1711
    },
    {
      "id": "5186f5a00cbfcbf0c373",
      "record_id": "loan-origination-software|q9|Google AI Mode|1",
      "criterion_id": "realtimereport",
      "engine": "Google AI Mode",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1353,
      "end": 1533,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "b9593c5f02507c692c3324e1b38ed5b3a02e975e1ef7aeb5a94879358a8700f5",
      "answer_sha256": "06fd46948c9aa69184d9580b912a510c3988f6c0f90aa4a59c675457a07f160f",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Robust Reporting and Analytics: Look for customizable dashboards and reporting tools that pull real-time data to help you track cycle times, bottlenecks, and portfolio performance.",
      "first_vendor_offset": 1711
    },
    {
      "id": "0aa46ff02f0c3608a1ff",
      "record_id": "loan-origination-software|q9|Google AI Mode|2",
      "criterion_id": "integration_general",
      "engine": "Google AI Mode",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 217,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "ee743bb8d677cfcdfe8552fbd25d8e69f03a3fa1634645cc60697caec72c998a",
      "answer_sha256": "1eaa936e1aa412fbe41ad50641440b8dc18a50b0f95738be1555c353ef1db208",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "When choosing a loan origination system (LOS), you must prioritize seamless third-party integrations, robust compliance management, and workflow configurability to ensure operational efficiency and future scalability.",
      "first_vendor_offset": 1597
    },
    {
      "id": "0b797f9da73ec2caf280",
      "record_id": "loan-origination-software|q9|Google AI Mode|2",
      "criterion_id": "compliance",
      "engine": "Google AI Mode",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 217,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "ee743bb8d677cfcdfe8552fbd25d8e69f03a3fa1634645cc60697caec72c998a",
      "answer_sha256": "1eaa936e1aa412fbe41ad50641440b8dc18a50b0f95738be1555c353ef1db208",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "When choosing a loan origination system (LOS), you must prioritize seamless third-party integrations, robust compliance management, and workflow configurability to ensure operational efficiency and future scalability.",
      "first_vendor_offset": 1597
    },
    {
      "id": "8d19afb066e3409c7c74",
      "record_id": "loan-origination-software|q9|Google AI Mode|2",
      "criterion_id": "workflow_config",
      "engine": "Google AI Mode",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 217,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "ee743bb8d677cfcdfe8552fbd25d8e69f03a3fa1634645cc60697caec72c998a",
      "answer_sha256": "1eaa936e1aa412fbe41ad50641440b8dc18a50b0f95738be1555c353ef1db208",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "When choosing a loan origination system (LOS), you must prioritize seamless third-party integrations, robust compliance management, and workflow configurability to ensure operational efficiency and future scalability.",
      "first_vendor_offset": 1597
    },
    {
      "id": "6a4c6b11621f97b5a731",
      "record_id": "loan-origination-software|q9|Google AI Mode|2",
      "criterion_id": "volume_growth",
      "engine": "Google AI Mode",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 217,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "ee743bb8d677cfcdfe8552fbd25d8e69f03a3fa1634645cc60697caec72c998a",
      "answer_sha256": "1eaa936e1aa412fbe41ad50641440b8dc18a50b0f95738be1555c353ef1db208",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "When choosing a loan origination system (LOS), you must prioritize seamless third-party integrations, robust compliance management, and workflow configurability to ensure operational efficiency and future scalability.",
      "first_vendor_offset": 1597
    },
    {
      "id": "8f546f5e09bdbeeef7f3",
      "record_id": "loan-origination-software|q9|Google AI Mode|2",
      "criterion_id": "api_connectors",
      "engine": "Google AI Mode",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 321,
      "end": 432,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "511d75d73d45c197d7d223b70b85178787b5e8dc93f708514d579db3204861ec",
      "answer_sha256": "1eaa936e1aa412fbe41ad50641440b8dc18a50b0f95738be1555c353ef1db208",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Integration Capabilities | APIs and pre-built connectors for core banking, credit bureaus, and ID verification.",
      "first_vendor_offset": 1597
    },
    {
      "id": "6de723d26ada8cf504d0",
      "record_id": "loan-origination-software|q9|Google AI Mode|2",
      "criterion_id": "core_connections",
      "engine": "Google AI Mode",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 321,
      "end": 432,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "511d75d73d45c197d7d223b70b85178787b5e8dc93f708514d579db3204861ec",
      "answer_sha256": "1eaa936e1aa412fbe41ad50641440b8dc18a50b0f95738be1555c353ef1db208",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Integration Capabilities | APIs and pre-built connectors for core banking, credit bureaus, and ID verification.",
      "first_vendor_offset": 1597
    },
    {
      "id": "1b8b723733bbbc5d85c1",
      "record_id": "loan-origination-software|q9|Google AI Mode|2",
      "criterion_id": "bureau_connections",
      "engine": "Google AI Mode",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 321,
      "end": 432,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "511d75d73d45c197d7d223b70b85178787b5e8dc93f708514d579db3204861ec",
      "answer_sha256": "1eaa936e1aa412fbe41ad50641440b8dc18a50b0f95738be1555c353ef1db208",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Integration Capabilities | APIs and pre-built connectors for core banking, credit bureaus, and ID verification.",
      "first_vendor_offset": 1597
    },
    {
      "id": "a3803f090a67fa03e767",
      "record_id": "loan-origination-software|q9|Google AI Mode|2",
      "criterion_id": "verification_connections",
      "engine": "Google AI Mode",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 321,
      "end": 432,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "511d75d73d45c197d7d223b70b85178787b5e8dc93f708514d579db3204861ec",
      "answer_sha256": "1eaa936e1aa412fbe41ad50641440b8dc18a50b0f95738be1555c353ef1db208",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Integration Capabilities | APIs and pre-built connectors for core banking, credit bureaus, and ID verification.",
      "first_vendor_offset": 1597
    },
    {
      "id": "0841f206f580425ec01a",
      "record_id": "loan-origination-software|q9|Google AI Mode|2",
      "criterion_id": "reg_updates",
      "engine": "Google AI Mode",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 433,
      "end": 531,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "e452360e65ed74c0103bf2ff806d104f96121fcce2089e24e5093f0be094df1e",
      "answer_sha256": "1eaa936e1aa412fbe41ad50641440b8dc18a50b0f95738be1555c353ef1db208",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Compliance & Security | Automated regulatory updates, audit trails, and data encryption standards.",
      "first_vendor_offset": 1597
    },
    {
      "id": "066426141b137a71b8b6",
      "record_id": "loan-origination-software|q9|Google AI Mode|2",
      "criterion_id": "activity_logs",
      "engine": "Google AI Mode",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 433,
      "end": 531,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "e452360e65ed74c0103bf2ff806d104f96121fcce2089e24e5093f0be094df1e",
      "answer_sha256": "1eaa936e1aa412fbe41ad50641440b8dc18a50b0f95738be1555c353ef1db208",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Compliance & Security | Automated regulatory updates, audit trails, and data encryption standards.",
      "first_vendor_offset": 1597
    },
    {
      "id": "f8f8ad408b70e38bf267",
      "record_id": "loan-origination-software|q9|Google AI Mode|2",
      "criterion_id": "encrypt",
      "engine": "Google AI Mode",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 433,
      "end": 531,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "e452360e65ed74c0103bf2ff806d104f96121fcce2089e24e5093f0be094df1e",
      "answer_sha256": "1eaa936e1aa412fbe41ad50641440b8dc18a50b0f95738be1555c353ef1db208",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Compliance & Security | Automated regulatory updates, audit trails, and data encryption standards.",
      "first_vendor_offset": 1597
    },
    {
      "id": "27282e6a3c837d1ac26d",
      "record_id": "loan-origination-software|q9|Google AI Mode|2",
      "criterion_id": "automation",
      "engine": "Google AI Mode",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 532,
      "end": 629,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "fa7fbfaf4757ab72620df2a8df42c0bd793129148bda54bf1ebeb83b5ec44c03",
      "answer_sha256": "1eaa936e1aa412fbe41ad50641440b8dc18a50b0f95738be1555c353ef1db208",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Configurability | Rules-based workflow automation and flexible task routing without heavy coding.",
      "first_vendor_offset": 1597
    },
    {
      "id": "870767dd48867ace50f0",
      "record_id": "loan-origination-software|q9|Google AI Mode|2",
      "criterion_id": "workflow_config",
      "engine": "Google AI Mode",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 532,
      "end": 629,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "fa7fbfaf4757ab72620df2a8df42c0bd793129148bda54bf1ebeb83b5ec44c03",
      "answer_sha256": "1eaa936e1aa412fbe41ad50641440b8dc18a50b0f95738be1555c353ef1db208",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Configurability | Rules-based workflow automation and flexible task routing without heavy coding.",
      "first_vendor_offset": 1597
    },
    {
      "id": "88344232d45ea8f83a63",
      "record_id": "loan-origination-software|q9|Google AI Mode|2",
      "criterion_id": "task_routing",
      "engine": "Google AI Mode",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 532,
      "end": 629,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "fa7fbfaf4757ab72620df2a8df42c0bd793129148bda54bf1ebeb83b5ec44c03",
      "answer_sha256": "1eaa936e1aa412fbe41ad50641440b8dc18a50b0f95738be1555c353ef1db208",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Configurability | Rules-based workflow automation and flexible task routing without heavy coding.",
      "first_vendor_offset": 1597
    },
    {
      "id": "922d972143a6633ec40b",
      "record_id": "loan-origination-software|q9|Google AI Mode|2",
      "criterion_id": "nocode",
      "engine": "Google AI Mode",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 532,
      "end": 629,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "fa7fbfaf4757ab72620df2a8df42c0bd793129148bda54bf1ebeb83b5ec44c03",
      "answer_sha256": "1eaa936e1aa412fbe41ad50641440b8dc18a50b0f95738be1555c353ef1db208",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Configurability | Rules-based workflow automation and flexible task routing without heavy coding.",
      "first_vendor_offset": 1597
    },
    {
      "id": "92d5812d36c95522a85b",
      "record_id": "loan-origination-software|q9|Google AI Mode|2",
      "criterion_id": "staff_usable",
      "engine": "Google AI Mode",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 630,
      "end": 749,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "0b1b690bac7f08d1fdc9137e197c7e7c6554fa968b49b6bee2d5ceb5fccbfaf7",
      "answer_sha256": "1eaa936e1aa412fbe41ad50641440b8dc18a50b0f95738be1555c353ef1db208",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "User Experience (UX) | Intuitive interfaces for internal lending teams and a frictionless digital portal for borrowers.",
      "first_vendor_offset": 1597
    },
    {
      "id": "8f1c07dee88a39178b15",
      "record_id": "loan-origination-software|q9|Google AI Mode|2",
      "criterion_id": "borrower_usable",
      "engine": "Google AI Mode",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 630,
      "end": 749,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "0b1b690bac7f08d1fdc9137e197c7e7c6554fa968b49b6bee2d5ceb5fccbfaf7",
      "answer_sha256": "1eaa936e1aa412fbe41ad50641440b8dc18a50b0f95738be1555c353ef1db208",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "User Experience (UX) | Intuitive interfaces for internal lending teams and a frictionless digital portal for borrowers.",
      "first_vendor_offset": 1597
    },
    {
      "id": "32dc0ff6466691b8f326",
      "record_id": "loan-origination-software|q9|Google AI Mode|2",
      "criterion_id": "portal",
      "engine": "Google AI Mode",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 630,
      "end": 749,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "0b1b690bac7f08d1fdc9137e197c7e7c6554fa968b49b6bee2d5ceb5fccbfaf7",
      "answer_sha256": "1eaa936e1aa412fbe41ad50641440b8dc18a50b0f95738be1555c353ef1db208",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "User Experience (UX) | Intuitive interfaces for internal lending teams and a frictionless digital portal for borrowers.",
      "first_vendor_offset": 1597
    },
    {
      "id": "0c422fc4759ce2b3d751",
      "record_id": "loan-origination-software|q9|Google AI Mode|2",
      "criterion_id": "cloud",
      "engine": "Google AI Mode",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 750,
      "end": 862,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "195595defcc23dd2475751b7947d67f796ab3d695d46bc2b4c754e477904afa3",
      "answer_sha256": "1eaa936e1aa412fbe41ad50641440b8dc18a50b0f95738be1555c353ef1db208",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Scalability & Architecture | Cloud-native infrastructure capable of handling volume spikes and portfolio growth.",
      "first_vendor_offset": 1597
    },
    {
      "id": "32627a80f98d5b563bed",
      "record_id": "loan-origination-software|q9|Google AI Mode|2",
      "criterion_id": "volume_growth",
      "engine": "Google AI Mode",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 750,
      "end": 862,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "195595defcc23dd2475751b7947d67f796ab3d695d46bc2b4c754e477904afa3",
      "answer_sha256": "1eaa936e1aa412fbe41ad50641440b8dc18a50b0f95738be1555c353ef1db208",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Scalability & Architecture | Cloud-native infrastructure capable of handling volume spikes and portfolio growth.",
      "first_vendor_offset": 1597
    },
    {
      "id": "8482da91f70386a9cade",
      "record_id": "loan-origination-software|q9|Google AI Mode|2",
      "criterion_id": "performance",
      "engine": "Google AI Mode",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 750,
      "end": 862,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "195595defcc23dd2475751b7947d67f796ab3d695d46bc2b4c754e477904afa3",
      "answer_sha256": "1eaa936e1aa412fbe41ad50641440b8dc18a50b0f95738be1555c353ef1db208",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Scalability & Architecture | Cloud-native infrastructure capable of handling volume spikes and portfolio growth.",
      "first_vendor_offset": 1597
    },
    {
      "id": "9ef8eaf70b05f271d9d7",
      "record_id": "loan-origination-software|q9|Google AI Mode|2",
      "criterion_id": "integration_general",
      "engine": "Google AI Mode",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 892,
      "end": 1050,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "72a2a8afc4153b8df97f96de70ce5b0b370fba3e447c29b8b7b85f07cb0d7b2d",
      "answer_sha256": "1eaa936e1aa412fbe41ad50641440b8dc18a50b0f95738be1555c353ef1db208",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Integration Architecture: Ensure the software connects cleanly with your existing tech stack (such as CRM or core accounting platforms) to prevent data silos.",
      "first_vendor_offset": 1597
    },
    {
      "id": "1c78d833453614e223bb",
      "record_id": "loan-origination-software|q9|Google AI Mode|2",
      "criterion_id": "connected_data",
      "engine": "Google AI Mode",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 892,
      "end": 1050,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "72a2a8afc4153b8df97f96de70ce5b0b370fba3e447c29b8b7b85f07cb0d7b2d",
      "answer_sha256": "1eaa936e1aa412fbe41ad50641440b8dc18a50b0f95738be1555c353ef1db208",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Integration Architecture: Ensure the software connects cleanly with your existing tech stack (such as CRM or core accounting platforms) to prevent data silos.",
      "first_vendor_offset": 1597
    },
    {
      "id": "f2d463f4c765d02f8f69",
      "record_id": "loan-origination-software|q9|Google AI Mode|2",
      "criterion_id": "totalcost",
      "engine": "Google AI Mode",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1051,
      "end": 1179,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "6c179fffee6ca7459d27430ba523d9dd09ca20b0a23ca6b92ecd439ae9f8d8cd",
      "answer_sha256": "1eaa936e1aa412fbe41ad50641440b8dc18a50b0f95738be1555c353ef1db208",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Total Cost of Ownership: Factor in implementation fees, user licensing models, ongoing maintenance, and staff training overhead.",
      "first_vendor_offset": 1597
    },
    {
      "id": "24d69704226b0b9d2e8c",
      "record_id": "loan-origination-software|q9|Google AI Mode|2",
      "criterion_id": "support_general",
      "engine": "Google AI Mode",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1180,
      "end": 1327,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "21e388e32f6324450bfe3bf6e55d1f92b5bc05723e820586030591caad7889e7",
      "answer_sha256": "1eaa936e1aa412fbe41ad50641440b8dc18a50b0f95738be1555c353ef1db208",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Vendor Support: Look for providers that offer dedicated post-launch customer success, thorough onboarding resources, and reliable technical uptime.",
      "first_vendor_offset": 1597
    },
    {
      "id": "3a9a79863068274eab5d",
      "record_id": "loan-origination-software|q9|Google AI Mode|2",
      "criterion_id": "onboarding_help",
      "engine": "Google AI Mode",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1180,
      "end": 1327,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "21e388e32f6324450bfe3bf6e55d1f92b5bc05723e820586030591caad7889e7",
      "answer_sha256": "1eaa936e1aa412fbe41ad50641440b8dc18a50b0f95738be1555c353ef1db208",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Vendor Support: Look for providers that offer dedicated post-launch customer success, thorough onboarding resources, and reliable technical uptime.",
      "first_vendor_offset": 1597
    },
    {
      "id": "0fbf2b9361cbf023d11e",
      "record_id": "loan-origination-software|q9|Google AI Mode|2",
      "criterion_id": "uptime_reliable",
      "engine": "Google AI Mode",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1180,
      "end": 1327,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "21e388e32f6324450bfe3bf6e55d1f92b5bc05723e820586030591caad7889e7",
      "answer_sha256": "1eaa936e1aa412fbe41ad50641440b8dc18a50b0f95738be1555c353ef1db208",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Vendor Support: Look for providers that offer dedicated post-launch customer success, thorough onboarding resources, and reliable technical uptime.",
      "first_vendor_offset": 1597
    },
    {
      "id": "70517ff670458981901f",
      "record_id": "loan-origination-software|q9|Google AI Mode|3",
      "criterion_id": "integration_general",
      "engine": "Google AI Mode",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 187,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "5d14c656179c39368990b4f2b0583e974f2b52cc8b5d43cc10c8a9aa4bd44a4c",
      "answer_sha256": "094287078947d55a553675552caf2be2a8e4d21b02428691d717eac82696a1fe",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "When choosing a loan origination system (LOS), you must look for robust integration capabilities, workflow configurability, built-in regulatory compliance, and a seamless user experience.",
      "first_vendor_offset": 1529
    },
    {
      "id": "49d181a4b9c5b8553d65",
      "record_id": "loan-origination-software|q9|Google AI Mode|3",
      "criterion_id": "workflow_config",
      "engine": "Google AI Mode",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 187,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "5d14c656179c39368990b4f2b0583e974f2b52cc8b5d43cc10c8a9aa4bd44a4c",
      "answer_sha256": "094287078947d55a553675552caf2be2a8e4d21b02428691d717eac82696a1fe",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "When choosing a loan origination system (LOS), you must look for robust integration capabilities, workflow configurability, built-in regulatory compliance, and a seamless user experience.",
      "first_vendor_offset": 1529
    },
    {
      "id": "4cb914f456487b47a556",
      "record_id": "loan-origination-software|q9|Google AI Mode|3",
      "criterion_id": "compliance",
      "engine": "Google AI Mode",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 187,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "5d14c656179c39368990b4f2b0583e974f2b52cc8b5d43cc10c8a9aa4bd44a4c",
      "answer_sha256": "094287078947d55a553675552caf2be2a8e4d21b02428691d717eac82696a1fe",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "When choosing a loan origination system (LOS), you must look for robust integration capabilities, workflow configurability, built-in regulatory compliance, and a seamless user experience.",
      "first_vendor_offset": 1529
    },
    {
      "id": "860a085469103a2aafae",
      "record_id": "loan-origination-software|q9|Google AI Mode|3",
      "criterion_id": "ease_general",
      "engine": "Google AI Mode",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 187,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "5d14c656179c39368990b4f2b0583e974f2b52cc8b5d43cc10c8a9aa4bd44a4c",
      "answer_sha256": "094287078947d55a553675552caf2be2a8e4d21b02428691d717eac82696a1fe",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "When choosing a loan origination system (LOS), you must look for robust integration capabilities, workflow configurability, built-in regulatory compliance, and a seamless user experience.",
      "first_vendor_offset": 1529
    },
    {
      "id": "6e983038e0dc73e79e40",
      "record_id": "loan-origination-software|q9|Google AI Mode|3",
      "criterion_id": "integrate",
      "engine": "Google AI Mode",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 336,
      "end": 558,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "4a9669318fe6cf26a5aa8d4568731f5e0d580ccc6d9e68f5118ed711c55735dd",
      "answer_sha256": "094287078947d55a553675552caf2be2a8e4d21b02428691d717eac82696a1fe",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Seamless Integration Capabilities: Your LOS must connect smoothly via robust APIs to your core banking infrastructure, credit bureaus, document generation tools, and third-party verification services to prevent data silos.",
      "first_vendor_offset": 1529
    },
    {
      "id": "1cae91285dc00d1cb3a4",
      "record_id": "loan-origination-software|q9|Google AI Mode|3",
      "criterion_id": "api_general",
      "engine": "Google AI Mode",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 336,
      "end": 558,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "4a9669318fe6cf26a5aa8d4568731f5e0d580ccc6d9e68f5118ed711c55735dd",
      "answer_sha256": "094287078947d55a553675552caf2be2a8e4d21b02428691d717eac82696a1fe",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Seamless Integration Capabilities: Your LOS must connect smoothly via robust APIs to your core banking infrastructure, credit bureaus, document generation tools, and third-party verification services to prevent data silos.",
      "first_vendor_offset": 1529
    },
    {
      "id": "7c2363f38df8ca26f7bd",
      "record_id": "loan-origination-software|q9|Google AI Mode|3",
      "criterion_id": "connected_data",
      "engine": "Google AI Mode",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 336,
      "end": 558,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "4a9669318fe6cf26a5aa8d4568731f5e0d580ccc6d9e68f5118ed711c55735dd",
      "answer_sha256": "094287078947d55a553675552caf2be2a8e4d21b02428691d717eac82696a1fe",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Seamless Integration Capabilities: Your LOS must connect smoothly via robust APIs to your core banking infrastructure, credit bureaus, document generation tools, and third-party verification services to prevent data silos.",
      "first_vendor_offset": 1529
    },
    {
      "id": "449de174e22f46100279",
      "record_id": "loan-origination-software|q9|Google AI Mode|3",
      "criterion_id": "decision_rules",
      "engine": "Google AI Mode",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 559,
      "end": 724,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "8133ce4f66a8e9049eb2f4b00f06fd1630ef1d193ff68e2e591412bbc21d6463",
      "answer_sha256": "094287078947d55a553675552caf2be2a8e4d21b02428691d717eac82696a1fe",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Workflow Configurability: Look for systems that allow rules-based automation and customizable loan application paths without requiring heavy custom code development.",
      "first_vendor_offset": 1529
    },
    {
      "id": "b721c58ae7938a11f139",
      "record_id": "loan-origination-software|q9|Google AI Mode|3",
      "criterion_id": "automation",
      "engine": "Google AI Mode",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 559,
      "end": 724,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "8133ce4f66a8e9049eb2f4b00f06fd1630ef1d193ff68e2e591412bbc21d6463",
      "answer_sha256": "094287078947d55a553675552caf2be2a8e4d21b02428691d717eac82696a1fe",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Workflow Configurability: Look for systems that allow rules-based automation and customizable loan application paths without requiring heavy custom code development.",
      "first_vendor_offset": 1529
    },
    {
      "id": "6cba24ff770d2abb94e2",
      "record_id": "loan-origination-software|q9|Google AI Mode|3",
      "criterion_id": "workflow_config",
      "engine": "Google AI Mode",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 559,
      "end": 724,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "8133ce4f66a8e9049eb2f4b00f06fd1630ef1d193ff68e2e591412bbc21d6463",
      "answer_sha256": "094287078947d55a553675552caf2be2a8e4d21b02428691d717eac82696a1fe",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Workflow Configurability: Look for systems that allow rules-based automation and customizable loan application paths without requiring heavy custom code development.",
      "first_vendor_offset": 1529
    },
    {
      "id": "c1686489a81226a298dd",
      "record_id": "loan-origination-software|q9|Google AI Mode|3",
      "criterion_id": "nocode",
      "engine": "Google AI Mode",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 559,
      "end": 724,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "8133ce4f66a8e9049eb2f4b00f06fd1630ef1d193ff68e2e591412bbc21d6463",
      "answer_sha256": "094287078947d55a553675552caf2be2a8e4d21b02428691d717eac82696a1fe",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Workflow Configurability: Look for systems that allow rules-based automation and customizable loan application paths without requiring heavy custom code development.",
      "first_vendor_offset": 1529
    },
    {
      "id": "d8623d22003d377e1214",
      "record_id": "loan-origination-software|q9|Google AI Mode|3",
      "criterion_id": "compliance",
      "engine": "Google AI Mode",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 725,
      "end": 918,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "a85f5459ece9fe3849aeb1c7b2457452bfed0484b7c0fc6360390ca1982afc13",
      "answer_sha256": "094287078947d55a553675552caf2be2a8e4d21b02428691d717eac82696a1fe",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Regulatory Compliance & Security: The software should feature automated compliance tracking, robust audit trails, and regular updates to adapt to shifting federal and state lending regulations.",
      "first_vendor_offset": 1529
    },
    {
      "id": "d5e55e477c7b9eb47edc",
      "record_id": "loan-origination-software|q9|Google AI Mode|3",
      "criterion_id": "activity_logs",
      "engine": "Google AI Mode",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 725,
      "end": 918,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "a85f5459ece9fe3849aeb1c7b2457452bfed0484b7c0fc6360390ca1982afc13",
      "answer_sha256": "094287078947d55a553675552caf2be2a8e4d21b02428691d717eac82696a1fe",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Regulatory Compliance & Security: The software should feature automated compliance tracking, robust audit trails, and regular updates to adapt to shifting federal and state lending regulations.",
      "first_vendor_offset": 1529
    },
    {
      "id": "a94597ed65c1eca15c57",
      "record_id": "loan-origination-software|q9|Google AI Mode|3",
      "criterion_id": "reg_updates",
      "engine": "Google AI Mode",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 725,
      "end": 918,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "a85f5459ece9fe3849aeb1c7b2457452bfed0484b7c0fc6360390ca1982afc13",
      "answer_sha256": "094287078947d55a553675552caf2be2a8e4d21b02428691d717eac82696a1fe",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Regulatory Compliance & Security: The software should feature automated compliance tracking, robust audit trails, and regular updates to adapt to shifting federal and state lending regulations.",
      "first_vendor_offset": 1529
    },
    {
      "id": "1fbdc51d69edcf568b9e",
      "record_id": "loan-origination-software|q9|Google AI Mode|3",
      "criterion_id": "staff_usable",
      "engine": "Google AI Mode",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 919,
      "end": 1106,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "48c4d5ebc74fe57b3712abb368d496863cd2e109ba00ac7ae4ca6f8bca938b64",
      "answer_sha256": "094287078947d55a553675552caf2be2a8e4d21b02428691d717eac82696a1fe",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "User Experience (UX): Prioritize intuitive interfaces for both internal staff/lenders and external borrowers (via digital portals) to accelerate adoption and minimize processing friction.",
      "first_vendor_offset": 1529
    },
    {
      "id": "49dc1bda3c2de600d0f8",
      "record_id": "loan-origination-software|q9|Google AI Mode|3",
      "criterion_id": "borrower_usable",
      "engine": "Google AI Mode",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 919,
      "end": 1106,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "48c4d5ebc74fe57b3712abb368d496863cd2e109ba00ac7ae4ca6f8bca938b64",
      "answer_sha256": "094287078947d55a553675552caf2be2a8e4d21b02428691d717eac82696a1fe",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "User Experience (UX): Prioritize intuitive interfaces for both internal staff/lenders and external borrowers (via digital portals) to accelerate adoption and minimize processing friction.",
      "first_vendor_offset": 1529
    },
    {
      "id": "05c7069e34fae0f0a4f4",
      "record_id": "loan-origination-software|q9|Google AI Mode|3",
      "criterion_id": "portal",
      "engine": "Google AI Mode",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 919,
      "end": 1106,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "48c4d5ebc74fe57b3712abb368d496863cd2e109ba00ac7ae4ca6f8bca938b64",
      "answer_sha256": "094287078947d55a553675552caf2be2a8e4d21b02428691d717eac82696a1fe",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "User Experience (UX): Prioritize intuitive interfaces for both internal staff/lenders and external borrowers (via digital portals) to accelerate adoption and minimize processing friction.",
      "first_vendor_offset": 1529
    },
    {
      "id": "aa0b87f36913edc59e68",
      "record_id": "loan-origination-software|q9|Google AI Mode|3",
      "criterion_id": "cloud",
      "engine": "Google AI Mode",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1107,
      "end": 1287,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "cfc4aff4e810632adc1dcbb28bc839ecbb71adb36adc7b5e469f9d69b53b6d5e",
      "answer_sha256": "094287078947d55a553675552caf2be2a8e4d21b02428691d717eac82696a1fe",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Scalability and Cloud Architecture: Modern cloud-based systems provide elastic performance, remote accessibility, and the capacity to manage expanding loan volumes without lagging.",
      "first_vendor_offset": 1529
    },
    {
      "id": "c8c0720513d7dca26b52",
      "record_id": "loan-origination-software|q9|Google AI Mode|3",
      "criterion_id": "performance",
      "engine": "Google AI Mode",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1107,
      "end": 1287,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "cfc4aff4e810632adc1dcbb28bc839ecbb71adb36adc7b5e469f9d69b53b6d5e",
      "answer_sha256": "094287078947d55a553675552caf2be2a8e4d21b02428691d717eac82696a1fe",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Scalability and Cloud Architecture: Modern cloud-based systems provide elastic performance, remote accessibility, and the capacity to manage expanding loan volumes without lagging.",
      "first_vendor_offset": 1529
    },
    {
      "id": "9bbca013558a02e8e2dc",
      "record_id": "loan-origination-software|q9|Google AI Mode|3",
      "criterion_id": "remote",
      "engine": "Google AI Mode",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1107,
      "end": 1287,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "cfc4aff4e810632adc1dcbb28bc839ecbb71adb36adc7b5e469f9d69b53b6d5e",
      "answer_sha256": "094287078947d55a553675552caf2be2a8e4d21b02428691d717eac82696a1fe",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Scalability and Cloud Architecture: Modern cloud-based systems provide elastic performance, remote accessibility, and the capacity to manage expanding loan volumes without lagging.",
      "first_vendor_offset": 1529
    },
    {
      "id": "39ee306ef0800d0e9ac4",
      "record_id": "loan-origination-software|q9|Google AI Mode|3",
      "criterion_id": "volume_growth",
      "engine": "Google AI Mode",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1107,
      "end": 1287,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "cfc4aff4e810632adc1dcbb28bc839ecbb71adb36adc7b5e469f9d69b53b6d5e",
      "answer_sha256": "094287078947d55a553675552caf2be2a8e4d21b02428691d717eac82696a1fe",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Scalability and Cloud Architecture: Modern cloud-based systems provide elastic performance, remote accessibility, and the capacity to manage expanding loan volumes without lagging.",
      "first_vendor_offset": 1529
    },
    {
      "id": "103cfae544823bcf7ce7",
      "record_id": "loan-origination-software|q9|Google AI Mode|3",
      "criterion_id": "totalcost",
      "engine": "Google AI Mode",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1288,
      "end": 1435,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "1540827a992c81ce885ecb303f5de2fadea650eb48c387b4cdb1dbfcf39ef90b",
      "answer_sha256": "094287078947d55a553675552caf2be2a8e4d21b02428691d717eac82696a1fe",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Total Cost of Ownership (TCO): Balance initial implementation and licensing fees against ongoing maintenance, vendor support, and upgrade expenses.",
      "first_vendor_offset": 1529
    },
    {
      "id": "4a549b0b020723be51d3",
      "record_id": "loan-origination-software|q9|Google AI Overviews|1",
      "criterion_id": "automation",
      "engine": "Google AI Overviews",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 188,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "4330be462a7ab5533180f3579f0f0f3fd4954d28019e4887ea43b42cbda93f83",
      "answer_sha256": "31150b3b7f9cde896bcd561671ce6c8b56b922d4da0d49a3089aed3c236d6d59",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Choosing a loan origination system (LOS) requires balancing workflow automation, integration capabilities, and total cost of ownership to match your specific lending volume and loan types.",
      "first_vendor_offset": 1413
    },
    {
      "id": "db2c87de2534349f7be1",
      "record_id": "loan-origination-software|q9|Google AI Overviews|1",
      "criterion_id": "integration_general",
      "engine": "Google AI Overviews",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 188,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "4330be462a7ab5533180f3579f0f0f3fd4954d28019e4887ea43b42cbda93f83",
      "answer_sha256": "31150b3b7f9cde896bcd561671ce6c8b56b922d4da0d49a3089aed3c236d6d59",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Choosing a loan origination system (LOS) requires balancing workflow automation, integration capabilities, and total cost of ownership to match your specific lending volume and loan types.",
      "first_vendor_offset": 1413
    },
    {
      "id": "2c2a96c4ba655d540232",
      "record_id": "loan-origination-software|q9|Google AI Overviews|1",
      "criterion_id": "totalcost",
      "engine": "Google AI Overviews",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 188,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "4330be462a7ab5533180f3579f0f0f3fd4954d28019e4887ea43b42cbda93f83",
      "answer_sha256": "31150b3b7f9cde896bcd561671ce6c8b56b922d4da0d49a3089aed3c236d6d59",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Choosing a loan origination system (LOS) requires balancing workflow automation, integration capabilities, and total cost of ownership to match your specific lending volume and loan types.",
      "first_vendor_offset": 1413
    },
    {
      "id": "1994590d2dee6fd8e277",
      "record_id": "loan-origination-software|q9|Google AI Overviews|1",
      "criterion_id": "fit",
      "engine": "Google AI Overviews",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 188,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "4330be462a7ab5533180f3579f0f0f3fd4954d28019e4887ea43b42cbda93f83",
      "answer_sha256": "31150b3b7f9cde896bcd561671ce6c8b56b922d4da0d49a3089aed3c236d6d59",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Choosing a loan origination system (LOS) requires balancing workflow automation, integration capabilities, and total cost of ownership to match your specific lending volume and loan types.",
      "first_vendor_offset": 1413
    },
    {
      "id": "9ffcfc7e81e9fb8e62fd",
      "record_id": "loan-origination-software|q9|Google AI Overviews|1",
      "criterion_id": "workflow_config",
      "engine": "Google AI Overviews",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 222,
      "end": 306,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "572aee02a122e49bcb17df454683148a3c93d76bc5b1fa3e7680bd5df5daf15d",
      "answer_sha256": "31150b3b7f9cde896bcd561671ce6c8b56b922d4da0d49a3089aed3c236d6d59",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Configurability: Look for systems allowing workflow adjustments without custom code.",
      "first_vendor_offset": 1413
    },
    {
      "id": "81c5fd1c8ed05ea44330",
      "record_id": "loan-origination-software|q9|Google AI Overviews|1",
      "criterion_id": "nocode",
      "engine": "Google AI Overviews",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 222,
      "end": 306,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "572aee02a122e49bcb17df454683148a3c93d76bc5b1fa3e7680bd5df5daf15d",
      "answer_sha256": "31150b3b7f9cde896bcd561671ce6c8b56b922d4da0d49a3089aed3c236d6d59",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Configurability: Look for systems allowing workflow adjustments without custom code.",
      "first_vendor_offset": 1413
    },
    {
      "id": "b1657ae841964a714338",
      "record_id": "loan-origination-software|q9|Google AI Overviews|1",
      "criterion_id": "intake",
      "engine": "Google AI Overviews",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 307,
      "end": 400,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "bccf988e1220370da8af7ff0f42c86e0000b47c4f9a5281d65b901cafbcd1964",
      "answer_sha256": "31150b3b7f9cde896bcd561671ce6c8b56b922d4da0d49a3089aed3c236d6d59",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Application Intake: Ensure smooth digital point-of-sale (POS) and mobile borrower onboarding.",
      "first_vendor_offset": 1413
    },
    {
      "id": "26f53a161e2eda1161b8",
      "record_id": "loan-origination-software|q9|Google AI Overviews|1",
      "criterion_id": "mobile_apply",
      "engine": "Google AI Overviews",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 307,
      "end": 400,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "bccf988e1220370da8af7ff0f42c86e0000b47c4f9a5281d65b901cafbcd1964",
      "answer_sha256": "31150b3b7f9cde896bcd561671ce6c8b56b922d4da0d49a3089aed3c236d6d59",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Application Intake: Ensure smooth digital point-of-sale (POS) and mobile borrower onboarding.",
      "first_vendor_offset": 1413
    },
    {
      "id": "b4d892198afbbb5af5ad",
      "record_id": "loan-origination-software|q9|Google AI Overviews|1",
      "criterion_id": "autorules",
      "engine": "Google AI Overviews",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 401,
      "end": 495,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "8989ff3eff51371f382542a72e9bd47d04e31dd916a21cf7d78cb974440228d6",
      "answer_sha256": "31150b3b7f9cde896bcd561671ce6c8b56b922d4da0d49a3089aed3c236d6d59",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Automated Decisioning: Prioritize rules engines for automated credit scoring and underwriting.",
      "first_vendor_offset": 1413
    },
    {
      "id": "5e2a8275cb3bfe8bff20",
      "record_id": "loan-origination-software|q9|Google AI Overviews|1",
      "criterion_id": "underwrite",
      "engine": "Google AI Overviews",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 401,
      "end": 495,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "8989ff3eff51371f382542a72e9bd47d04e31dd916a21cf7d78cb974440228d6",
      "answer_sha256": "31150b3b7f9cde896bcd561671ce6c8b56b922d4da0d49a3089aed3c236d6d59",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Automated Decisioning: Prioritize rules engines for automated credit scoring and underwriting.",
      "first_vendor_offset": 1413
    },
    {
      "id": "4cc0f3144380824fd65e",
      "record_id": "loan-origination-software|q9|Google AI Overviews|1",
      "criterion_id": "bureau_connections",
      "engine": "Google AI Overviews",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 523,
      "end": 627,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "8fd3715dbad67c57ff5bda618a4bfa9561945ab39f3bdc787dc2ee615924a88f",
      "answer_sha256": "31150b3b7f9cde896bcd561671ce6c8b56b922d4da0d49a3089aed3c236d6d59",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Credit & Verification: Must natively pull from major credit bureaus and asset/income verification tools.",
      "first_vendor_offset": 1413
    },
    {
      "id": "e20994ccfecc824f57bd",
      "record_id": "loan-origination-software|q9|Google AI Overviews|1",
      "criterion_id": "verification_connections",
      "engine": "Google AI Overviews",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 523,
      "end": 627,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "8fd3715dbad67c57ff5bda618a4bfa9561945ab39f3bdc787dc2ee615924a88f",
      "answer_sha256": "31150b3b7f9cde896bcd561671ce6c8b56b922d4da0d49a3089aed3c236d6d59",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Credit & Verification: Must natively pull from major credit bureaus and asset/income verification tools.",
      "first_vendor_offset": 1413
    },
    {
      "id": "b35fb72a710ef80b545b",
      "record_id": "loan-origination-software|q9|Google AI Overviews|1",
      "criterion_id": "core_or_servicing",
      "engine": "Google AI Overviews",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 628,
      "end": 719,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "98d21fc470057db262dde958537ec7552aa6ac0d6a28bf859a510337499a061d",
      "answer_sha256": "31150b3b7f9cde896bcd561671ce6c8b56b922d4da0d49a3089aed3c236d6d59",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Core Systems: Verify seamless data exchange with core banking or servicing (LMS) platforms.",
      "first_vendor_offset": 1413
    },
    {
      "id": "7ef655e629a53ba75642",
      "record_id": "loan-origination-software|q9|Google AI Overviews|1",
      "criterion_id": "data_exchange",
      "engine": "Google AI Overviews",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 628,
      "end": 719,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "98d21fc470057db262dde958537ec7552aa6ac0d6a28bf859a510337499a061d",
      "answer_sha256": "31150b3b7f9cde896bcd561671ce6c8b56b922d4da0d49a3089aed3c236d6d59",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Core Systems: Verify seamless data exchange with core banking or servicing (LMS) platforms.",
      "first_vendor_offset": 1413
    },
    {
      "id": "b4165b2072f2895a53b4",
      "record_id": "loan-origination-software|q9|Google AI Overviews|1",
      "criterion_id": "secure_esign",
      "engine": "Google AI Overviews",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 720,
      "end": 797,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "e7b31e735b8eb42a28663abcb977b2906dacee2d29adcf1fc27b413fe213b5b2",
      "answer_sha256": "31150b3b7f9cde896bcd561671ce6c8b56b922d4da0d49a3089aed3c236d6d59",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Document Management: Require secure e-signatures and automated audit logging.",
      "first_vendor_offset": 1413
    },
    {
      "id": "44eebac7ebe47ba848fa",
      "record_id": "loan-origination-software|q9|Google AI Overviews|1",
      "criterion_id": "activity_logs",
      "engine": "Google AI Overviews",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 720,
      "end": 797,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "e7b31e735b8eb42a28663abcb977b2906dacee2d29adcf1fc27b413fe213b5b2",
      "answer_sha256": "31150b3b7f9cde896bcd561671ce6c8b56b922d4da0d49a3089aed3c236d6d59",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Document Management: Require secure e-signatures and automated audit logging.",
      "first_vendor_offset": 1413
    },
    {
      "id": "fa77eb5857a0503ffee4",
      "record_id": "loan-origination-software|q9|Google AI Overviews|1",
      "criterion_id": "pricing_units",
      "engine": "Google AI Overviews",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 918,
      "end": 1019,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "d759ecf225e667e56b8f800db6afb679526b48f3172f7c8b0cea59e38ddc4d22",
      "answer_sha256": "31150b3b7f9cde896bcd561671ce6c8b56b922d4da0d49a3089aed3c236d6d59",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Deployment Pricing | Cloud SaaS subscriptions ($500–$2,500/mo) | Overage fees per user or loan volume",
      "first_vendor_offset": 1413
    },
    {
      "id": "c1873a8059fe7202d362",
      "record_id": "loan-origination-software|q9|Google AI Overviews|1",
      "criterion_id": "implementation_cost",
      "engine": "Google AI Overviews",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1020,
      "end": 1119,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "e1a3da677a08181e146849ef7113bf402515ea39f651e24496b0163c4debc0b8",
      "answer_sha256": "31150b3b7f9cde896bcd561671ce6c8b56b922d4da0d49a3089aed3c236d6d59",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Setup & Integration | Upfront costs ($20k–$150k enterprise) | Delays or custom API development fees",
      "first_vendor_offset": 1413
    },
    {
      "id": "552a9763a2fe0df58d30",
      "record_id": "loan-origination-software|q9|Google AI Overviews|1",
      "criterion_id": "integration_cost",
      "engine": "Google AI Overviews",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1020,
      "end": 1119,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "e1a3da677a08181e146849ef7113bf402515ea39f651e24496b0163c4debc0b8",
      "answer_sha256": "31150b3b7f9cde896bcd561671ce6c8b56b922d4da0d49a3089aed3c236d6d59",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Setup & Integration | Upfront costs ($20k–$150k enterprise) | Delays or custom API development fees",
      "first_vendor_offset": 1413
    },
    {
      "id": "ae14cc176ea196719951",
      "record_id": "loan-origination-software|q9|Google AI Overviews|1",
      "criterion_id": "implementation_timing",
      "engine": "Google AI Overviews",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1120,
      "end": 1216,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "727719ef926e2d308c0450989c7fe562ca310d008a882cfbcf24985776e5d88d",
      "answer_sha256": "31150b3b7f9cde896bcd561671ce6c8b56b922d4da0d49a3089aed3c236d6d59",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Time to Launch | 4 weeks to 6 months deployment | Extended operational downtime during migration",
      "first_vendor_offset": 1413
    },
    {
      "id": "9a13088b8c9333be54d6",
      "record_id": "loan-origination-software|q9|Google AI Overviews|1",
      "criterion_id": "migration_downtime",
      "engine": "Google AI Overviews",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1120,
      "end": 1216,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "727719ef926e2d308c0450989c7fe562ca310d008a882cfbcf24985776e5d88d",
      "answer_sha256": "31150b3b7f9cde896bcd561671ce6c8b56b922d4da0d49a3089aed3c236d6d59",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Time to Launch | 4 weeks to 6 months deployment | Extended operational downtime during migration",
      "first_vendor_offset": 1413
    },
    {
      "id": "f506f35d4a0815eba537",
      "record_id": "loan-origination-software|q9|Google AI Overviews|2",
      "criterion_id": "fit",
      "engine": "Google AI Overviews",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 171,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "fbe9a3ddf5d24932de86c6015bfb497142bda9c85194b51970d0865cb7f3391b",
      "answer_sha256": "77d71ce5c7a2347782f0cf8bd1c6ae3fc1def16324f04f689cc58113234bb925",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Choosing a loan origination system (LOS) requires evaluating software that aligns with your specific lending products, workflow automation needs, and compliance standards.",
      "first_vendor_offset": 1087
    },
    {
      "id": "865a7cb6c208099f5407",
      "record_id": "loan-origination-software|q9|Google AI Overviews|2",
      "criterion_id": "automation",
      "engine": "Google AI Overviews",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 171,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "fbe9a3ddf5d24932de86c6015bfb497142bda9c85194b51970d0865cb7f3391b",
      "answer_sha256": "77d71ce5c7a2347782f0cf8bd1c6ae3fc1def16324f04f689cc58113234bb925",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Choosing a loan origination system (LOS) requires evaluating software that aligns with your specific lending products, workflow automation needs, and compliance standards.",
      "first_vendor_offset": 1087
    },
    {
      "id": "a7aadff16dd9d42fcfa3",
      "record_id": "loan-origination-software|q9|Google AI Overviews|2",
      "criterion_id": "compliance",
      "engine": "Google AI Overviews",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 171,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "fbe9a3ddf5d24932de86c6015bfb497142bda9c85194b51970d0865cb7f3391b",
      "answer_sha256": "77d71ce5c7a2347782f0cf8bd1c6ae3fc1def16324f04f689cc58113234bb925",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Choosing a loan origination system (LOS) requires evaluating software that aligns with your specific lending products, workflow automation needs, and compliance standards.",
      "first_vendor_offset": 1087
    },
    {
      "id": "61e1dd805a5df59d43f9",
      "record_id": "loan-origination-software|q9|Google AI Overviews|2",
      "criterion_id": "core_or_servicing",
      "engine": "Google AI Overviews",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 199,
      "end": 259,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "21842c5d12466180777f857a4e33f0e23ecde6c17a17e1f55dfae43798786bc9",
      "answer_sha256": "77d71ce5c7a2347782f0cf8bd1c6ae3fc1def16324f04f689cc58113234bb925",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Connects smoothly with core banking or servicing platforms .",
      "first_vendor_offset": 1087
    },
    {
      "id": "0f151bc80bfc725b5e18",
      "record_id": "loan-origination-software|q9|Google AI Overviews|2",
      "criterion_id": "bureau_connections",
      "engine": "Google AI Overviews",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 260,
      "end": 318,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "b61f06f0f85b10ebf254b457b642f9598a68805ca2d49c03f9a319cfae30f42c",
      "answer_sha256": "77d71ce5c7a2347782f0cf8bd1c6ae3fc1def16324f04f689cc58113234bb925",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Pull data from credit bureaus like Experian or TransUnion.",
      "first_vendor_offset": 1087
    },
    {
      "id": "01965509aaaa6ce177fc",
      "record_id": "loan-origination-software|q9|Google AI Overviews|2",
      "criterion_id": "verification_connections",
      "engine": "Google AI Overviews",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 319,
      "end": 365,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "e7938e0e0c2251838b3055296bf16bc6b44c8698bc68e2dfce88a8523c821c94",
      "answer_sha256": "77d71ce5c7a2347782f0cf8bd1c6ae3fc1def16324f04f689cc58113234bb925",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Supports third-party verification tools like .",
      "first_vendor_offset": 1087
    },
    {
      "id": "a6e62e84688d735c8f08",
      "record_id": "loan-origination-software|q9|Google AI Overviews|2",
      "criterion_id": "disclosures",
      "engine": "Google AI Overviews",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 366,
      "end": 425,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "d45f971de93c6b01184966282dd3e0f794a18a222eaa07024964990537857a4b",
      "answer_sha256": "77d71ce5c7a2347782f0cf8bd1c6ae3fc1def16324f04f689cc58113234bb925",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Automates regulatory disclosures like TILA and ECOA rules .",
      "first_vendor_offset": 1087
    },
    {
      "id": "6a8e930afe3e190c48f8",
      "record_id": "loan-origination-software|q9|Google AI Overviews|2",
      "criterion_id": "compliance",
      "engine": "Google AI Overviews",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 366,
      "end": 425,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "d45f971de93c6b01184966282dd3e0f794a18a222eaa07024964990537857a4b",
      "answer_sha256": "77d71ce5c7a2347782f0cf8bd1c6ae3fc1def16324f04f689cc58113234bb925",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Automates regulatory disclosures like TILA and ECOA rules .",
      "first_vendor_offset": 1087
    },
    {
      "id": "8971fb53f13b87419669",
      "record_id": "loan-origination-software|q9|Google AI Overviews|2",
      "criterion_id": "reg_updates",
      "engine": "Google AI Overviews",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 426,
      "end": 486,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "19ddbcdc402ce7136018c7365d83d599547ada54f8871d16c3302acda90f6147",
      "answer_sha256": "77d71ce5c7a2347782f0cf8bd1c6ae3fc1def16324f04f689cc58113234bb925",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Provides regular software updates for changing lending laws.",
      "first_vendor_offset": 1087
    },
    {
      "id": "7113801337781ac37e02",
      "record_id": "loan-origination-software|q9|Google AI Overviews|2",
      "criterion_id": "activity_logs",
      "engine": "Google AI Overviews",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 487,
      "end": 539,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "72682c98de9ada4670ab73bb6b61fad18449b55fb0c379489340788e22e1d741",
      "answer_sha256": "77d71ce5c7a2347782f0cf8bd1c6ae3fc1def16324f04f689cc58113234bb925",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Maintains robust audit trails and document security.",
      "first_vendor_offset": 1087
    },
    {
      "id": "29eac85b42bddf2d88eb",
      "record_id": "loan-origination-software|q9|Google AI Overviews|2",
      "criterion_id": "document_security",
      "engine": "Google AI Overviews",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 487,
      "end": 539,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "72682c98de9ada4670ab73bb6b61fad18449b55fb0c379489340788e22e1d741",
      "answer_sha256": "77d71ce5c7a2347782f0cf8bd1c6ae3fc1def16324f04f689cc58113234bb925",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Maintains robust audit trails and document security.",
      "first_vendor_offset": 1087
    },
    {
      "id": "79546d032aec1ee9dc9e",
      "record_id": "loan-origination-software|q9|Google AI Overviews|2",
      "criterion_id": "workflow_config",
      "engine": "Google AI Overviews",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 540,
      "end": 603,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "ec7b5497f24395c048293262907b0b5b2fe3b3b19efa763937fda1722370cfba",
      "answer_sha256": "77d71ce5c7a2347782f0cf8bd1c6ae3fc1def16324f04f689cc58113234bb925",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Offers customizable rules-based underwriting and task routing .",
      "first_vendor_offset": 1087
    },
    {
      "id": "210ba3615d2c9b149cee",
      "record_id": "loan-origination-software|q9|Google AI Overviews|2",
      "criterion_id": "decision_rules",
      "engine": "Google AI Overviews",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 540,
      "end": 603,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "ec7b5497f24395c048293262907b0b5b2fe3b3b19efa763937fda1722370cfba",
      "answer_sha256": "77d71ce5c7a2347782f0cf8bd1c6ae3fc1def16324f04f689cc58113234bb925",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Offers customizable rules-based underwriting and task routing .",
      "first_vendor_offset": 1087
    },
    {
      "id": "c347ccd912d99d723cf8",
      "record_id": "loan-origination-software|q9|Google AI Overviews|2",
      "criterion_id": "credit_decisions",
      "engine": "Google AI Overviews",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 540,
      "end": 603,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "ec7b5497f24395c048293262907b0b5b2fe3b3b19efa763937fda1722370cfba",
      "answer_sha256": "77d71ce5c7a2347782f0cf8bd1c6ae3fc1def16324f04f689cc58113234bb925",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Offers customizable rules-based underwriting and task routing .",
      "first_vendor_offset": 1087
    },
    {
      "id": "79c2e61db59f4be07c6d",
      "record_id": "loan-origination-software|q9|Google AI Overviews|2",
      "criterion_id": "task_routing",
      "engine": "Google AI Overviews",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 540,
      "end": 603,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "ec7b5497f24395c048293262907b0b5b2fe3b3b19efa763937fda1722370cfba",
      "answer_sha256": "77d71ce5c7a2347782f0cf8bd1c6ae3fc1def16324f04f689cc58113234bb925",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Offers customizable rules-based underwriting and task routing .",
      "first_vendor_offset": 1087
    },
    {
      "id": "c6b477c4a3b264083a98",
      "record_id": "loan-origination-software|q9|Google AI Overviews|2",
      "criterion_id": "fit",
      "engine": "Google AI Overviews",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 604,
      "end": 675,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "6bfc4747b606b30e71f9308fe0418eb2c5d86e3c95213776246d81dbadcf306a",
      "answer_sha256": "77d71ce5c7a2347782f0cf8bd1c6ae3fc1def16324f04f689cc58113234bb925",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Matches specific loan types (consumer speed vs. commercial complexity).",
      "first_vendor_offset": 1087
    },
    {
      "id": "46057a517f65c2774a73",
      "record_id": "loan-origination-software|q9|Google AI Overviews|2",
      "criterion_id": "workflow_config",
      "engine": "Google AI Overviews",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 676,
      "end": 733,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "3369a9d280cd65f2f9d9d826f61ac042adce678d659280d8bdb9dc061b896f34",
      "answer_sha256": "77d71ce5c7a2347782f0cf8bd1c6ae3fc1def16324f04f689cc58113234bb925",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Adapts to internal processes without heavy custom coding.",
      "first_vendor_offset": 1087
    },
    {
      "id": "ce47372d095044a26423",
      "record_id": "loan-origination-software|q9|Google AI Overviews|2",
      "criterion_id": "nocode",
      "engine": "Google AI Overviews",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 676,
      "end": 733,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "3369a9d280cd65f2f9d9d826f61ac042adce678d659280d8bdb9dc061b896f34",
      "answer_sha256": "77d71ce5c7a2347782f0cf8bd1c6ae3fc1def16324f04f689cc58113234bb925",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Adapts to internal processes without heavy custom coding.",
      "first_vendor_offset": 1087
    },
    {
      "id": "99d42292ba95cdc65ea5",
      "record_id": "loan-origination-software|q9|Google AI Overviews|2",
      "criterion_id": "cloud",
      "engine": "Google AI Overviews",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 734,
      "end": 790,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "084cf0612c381ffad2e00af0ea10a90969f7af98fca2694aeb5714a856f70e0f",
      "answer_sha256": "77d71ce5c7a2347782f0cf8bd1c6ae3fc1def16324f04f689cc58113234bb925",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Runs on a modern, cloud-based platform for scalability .",
      "first_vendor_offset": 1087
    },
    {
      "id": "51f910a7c28b2ad2942d",
      "record_id": "loan-origination-software|q9|Google AI Overviews|2",
      "criterion_id": "volume_growth",
      "engine": "Google AI Overviews",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 734,
      "end": 790,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "084cf0612c381ffad2e00af0ea10a90969f7af98fca2694aeb5714a856f70e0f",
      "answer_sha256": "77d71ce5c7a2347782f0cf8bd1c6ae3fc1def16324f04f689cc58113234bb925",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Runs on a modern, cloud-based platform for scalability .",
      "first_vendor_offset": 1087
    },
    {
      "id": "86ccd32fbe22a4ff1d42",
      "record_id": "loan-origination-software|q9|Google AI Overviews|2",
      "criterion_id": "staff_usable",
      "engine": "Google AI Overviews",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 791,
      "end": 852,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "e6b4a8a91cf4585cdb873648aeb670478849489e69cb0baadd092b8512d73c0e",
      "answer_sha256": "77d71ce5c7a2347782f0cf8bd1c6ae3fc1def16324f04f689cc58113234bb925",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Features intuitive dashboards for both lenders and borrowers.",
      "first_vendor_offset": 1087
    },
    {
      "id": "02a0e69cd591df3008d9",
      "record_id": "loan-origination-software|q9|Google AI Overviews|2",
      "criterion_id": "borrower_usable",
      "engine": "Google AI Overviews",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 791,
      "end": 852,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "e6b4a8a91cf4585cdb873648aeb670478849489e69cb0baadd092b8512d73c0e",
      "answer_sha256": "77d71ce5c7a2347782f0cf8bd1c6ae3fc1def16324f04f689cc58113234bb925",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Features intuitive dashboards for both lenders and borrowers.",
      "first_vendor_offset": 1087
    },
    {
      "id": "bfa3ce5e66414e084e4c",
      "record_id": "loan-origination-software|q9|Google AI Overviews|2",
      "criterion_id": "ease_general",
      "engine": "Google AI Overviews",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 853,
      "end": 903,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "86a750004471adbd2d7fe4247da6c8fceddc5661cf6bac06e13044b1c559f4e8",
      "answer_sha256": "77d71ce5c7a2347782f0cf8bd1c6ae3fc1def16324f04f689cc58113234bb925",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Reduces onboarding time with clean design layouts.",
      "first_vendor_offset": 1087
    },
    {
      "id": "587da59119fae7552f16",
      "record_id": "loan-origination-software|q9|Google AI Overviews|3",
      "criterion_id": "integration_general",
      "engine": "Google AI Overviews",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 200,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "b4c6374db5e17f1390ae520e813f2984a93823248ec1984d7c0096bfd2ee3739",
      "answer_sha256": "f4bb934b569d4617e47f2bd53366e9217d4c2d2cf09511a1858879eed805dc24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Choosing a loan origination system (LOS) requires evaluating core capabilities like integration, compliance, and workflow flexibility against your institution's specific lending volume and loan types.",
      "first_vendor_offset": 1275
    },
    {
      "id": "e92dda94661a297a0f80",
      "record_id": "loan-origination-software|q9|Google AI Overviews|3",
      "criterion_id": "compliance",
      "engine": "Google AI Overviews",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 200,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "b4c6374db5e17f1390ae520e813f2984a93823248ec1984d7c0096bfd2ee3739",
      "answer_sha256": "f4bb934b569d4617e47f2bd53366e9217d4c2d2cf09511a1858879eed805dc24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Choosing a loan origination system (LOS) requires evaluating core capabilities like integration, compliance, and workflow flexibility against your institution's specific lending volume and loan types.",
      "first_vendor_offset": 1275
    },
    {
      "id": "2f074a93a4c4dc7fba25",
      "record_id": "loan-origination-software|q9|Google AI Overviews|3",
      "criterion_id": "workflow_config",
      "engine": "Google AI Overviews",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 200,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "b4c6374db5e17f1390ae520e813f2984a93823248ec1984d7c0096bfd2ee3739",
      "answer_sha256": "f4bb934b569d4617e47f2bd53366e9217d4c2d2cf09511a1858879eed805dc24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Choosing a loan origination system (LOS) requires evaluating core capabilities like integration, compliance, and workflow flexibility against your institution's specific lending volume and loan types.",
      "first_vendor_offset": 1275
    },
    {
      "id": "2f98da963b39f1d82ccb",
      "record_id": "loan-origination-software|q9|Google AI Overviews|3",
      "criterion_id": "fit",
      "engine": "Google AI Overviews",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 200,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "b4c6374db5e17f1390ae520e813f2984a93823248ec1984d7c0096bfd2ee3739",
      "answer_sha256": "f4bb934b569d4617e47f2bd53366e9217d4c2d2cf09511a1858879eed805dc24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Choosing a loan origination system (LOS) requires evaluating core capabilities like integration, compliance, and workflow flexibility against your institution's specific lending volume and loan types.",
      "first_vendor_offset": 1275
    },
    {
      "id": "e6dfb538b7741fc8d0ca",
      "record_id": "loan-origination-software|q9|Google AI Overviews|3",
      "criterion_id": "core_connections",
      "engine": "Google AI Overviews",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 228,
      "end": 304,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "68910a22b8bdf21168a4ca662ad85b7a22e821ea8f2cf623204553cd5082a5c5",
      "answer_sha256": "f4bb934b569d4617e47f2bd53366e9217d4c2d2cf09511a1858879eed805dc24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Core systems: Connects directly with core banking or credit union platforms.",
      "first_vendor_offset": 1275
    },
    {
      "id": "135592c530652253035e",
      "record_id": "loan-origination-software|q9|Google AI Overviews|3",
      "criterion_id": "bureau_connections",
      "engine": "Google AI Overviews",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 305,
      "end": 379,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "7e86ce567da00d4bea2b0ae3983ae3505131d50d2659b5f4c2102caad3ce65f8",
      "answer_sha256": "f4bb934b569d4617e47f2bd53366e9217d4c2d2cf09511a1858879eed805dc24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Third-party data: Pulls instantly from credit bureaus and ID verification.",
      "first_vendor_offset": 1275
    },
    {
      "id": "fab1fc4f031e3ef45e6d",
      "record_id": "loan-origination-software|q9|Google AI Overviews|3",
      "criterion_id": "verification_connections",
      "engine": "Google AI Overviews",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 305,
      "end": 379,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "7e86ce567da00d4bea2b0ae3983ae3505131d50d2659b5f4c2102caad3ce65f8",
      "answer_sha256": "f4bb934b569d4617e47f2bd53366e9217d4c2d2cf09511a1858879eed805dc24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Third-party data: Pulls instantly from credit bureaus and ID verification.",
      "first_vendor_offset": 1275
    },
    {
      "id": "2960d95e081f31287094",
      "record_id": "loan-origination-software|q9|Google AI Overviews|3",
      "criterion_id": "api_general",
      "engine": "Google AI Overviews",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 380,
      "end": 443,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "d44bdb8534bda3127f817bbc8fcae3f0c11eee2e57c72e4544bf8bb9a880b21d",
      "answer_sha256": "f4bb934b569d4617e47f2bd53366e9217d4c2d2cf09511a1858879eed805dc24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Robust APIs: Uses modern APIs for friction-free data migration.",
      "first_vendor_offset": 1275
    },
    {
      "id": "1842f635a4d81f9fbf98",
      "record_id": "loan-origination-software|q9|Google AI Overviews|3",
      "criterion_id": "migration_help",
      "engine": "Google AI Overviews",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 380,
      "end": 443,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "d44bdb8534bda3127f817bbc8fcae3f0c11eee2e57c72e4544bf8bb9a880b21d",
      "answer_sha256": "f4bb934b569d4617e47f2bd53366e9217d4c2d2cf09511a1858879eed805dc24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Robust APIs: Uses modern APIs for friction-free data migration.",
      "first_vendor_offset": 1275
    },
    {
      "id": "635294aace033eeaa316",
      "record_id": "loan-origination-software|q9|Google AI Overviews|3",
      "criterion_id": "reg_updates",
      "engine": "Google AI Overviews",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 466,
      "end": 543,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "f32773fd9119844d1b6695c5aae33ff960c58fb6852fa648b6e545ee39725eb1",
      "answer_sha256": "f4bb934b569d4617e47f2bd53366e9217d4c2d2cf09511a1858879eed805dc24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Regulatory updates: Automatically applies changing regional and federal laws.",
      "first_vendor_offset": 1275
    },
    {
      "id": "a01f604a72a5ec0b1539",
      "record_id": "loan-origination-software|q9|Google AI Overviews|3",
      "criterion_id": "activity_logs",
      "engine": "Google AI Overviews",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 544,
      "end": 606,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "985049695996a962aca1cabc5ea30640ec27fe1f68e4252f86160237d72c2dd2",
      "answer_sha256": "f4bb934b569d4617e47f2bd53366e9217d4c2d2cf09511a1858879eed805dc24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Audit trails: Generates reliable compliance and activity logs.",
      "first_vendor_offset": 1275
    },
    {
      "id": "1c6ed5d8e30779478476",
      "record_id": "loan-origination-software|q9|Google AI Overviews|3",
      "criterion_id": "disclosure_accuracy",
      "engine": "Google AI Overviews",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 607,
      "end": 677,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "638f9bb21dc61cae8dbb0bad79880f2827949d7d89e6017215a4cea3087d7672",
      "answer_sha256": "f4bb934b569d4617e47f2bd53366e9217d4c2d2cf09511a1858879eed805dc24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Document accuracy: Reduces human error in legally binding disclosures.",
      "first_vendor_offset": 1275
    },
    {
      "id": "3be128f094033f4a996b",
      "record_id": "loan-origination-software|q9|Google AI Overviews|3",
      "criterion_id": "workflow_config",
      "engine": "Google AI Overviews",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 705,
      "end": 771,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "4aaf4f6645e01a1037f97b31103809728c0f2a4c3406db8dfe48c1f641bdf8c3",
      "answer_sha256": "f4bb934b569d4617e47f2bd53366e9217d4c2d2cf09511a1858879eed805dc24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Custom rules: Adapts application flows via rules-based automation.",
      "first_vendor_offset": 1275
    },
    {
      "id": "31c1459e12f4e67fbe4e",
      "record_id": "loan-origination-software|q9|Google AI Overviews|3",
      "criterion_id": "decision_rules",
      "engine": "Google AI Overviews",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 705,
      "end": 771,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "4aaf4f6645e01a1037f97b31103809728c0f2a4c3406db8dfe48c1f641bdf8c3",
      "answer_sha256": "f4bb934b569d4617e47f2bd53366e9217d4c2d2cf09511a1858879eed805dc24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Custom rules: Adapts application flows via rules-based automation.",
      "first_vendor_offset": 1275
    },
    {
      "id": "da8006fdedb6acb52e58",
      "record_id": "loan-origination-software|q9|Google AI Overviews|3",
      "criterion_id": "automation",
      "engine": "Google AI Overviews",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 705,
      "end": 771,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "4aaf4f6645e01a1037f97b31103809728c0f2a4c3406db8dfe48c1f641bdf8c3",
      "answer_sha256": "f4bb934b569d4617e47f2bd53366e9217d4c2d2cf09511a1858879eed805dc24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Custom rules: Adapts application flows via rules-based automation.",
      "first_vendor_offset": 1275
    },
    {
      "id": "f631a0fd0988a932d92b",
      "record_id": "loan-origination-software|q9|Google AI Overviews|3",
      "criterion_id": "fit",
      "engine": "Google AI Overviews",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 772,
      "end": 863,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "71404d64cdeb97729a6f9da37844296c0160f6562b7f92c5ef18668f9e5e8fbc",
      "answer_sha256": "f4bb934b569d4617e47f2bd53366e9217d4c2d2cf09511a1858879eed805dc24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Loan specialization: Matches specific needs for consumer, mortgage, or commercial products.",
      "first_vendor_offset": 1275
    },
    {
      "id": "2fdf9ed81273f7709c4c",
      "record_id": "loan-origination-software|q9|Google AI Overviews|3",
      "criterion_id": "task_routing",
      "engine": "Google AI Overviews",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 864,
      "end": 946,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "d0d9b46f1fe965f35c2e93414d0ea35f68138aa04ef56ea1a3b146bdf111d37b",
      "answer_sha256": "f4bb934b569d4617e47f2bd53366e9217d4c2d2cf09511a1858879eed805dc24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Task routing: Assigns automated queues to streamline handoffs between departments.",
      "first_vendor_offset": 1275
    },
    {
      "id": "030b4cad84b682edc282",
      "record_id": "loan-origination-software|q9|Google AI Overviews|3",
      "criterion_id": "automation",
      "engine": "Google AI Overviews",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 864,
      "end": 946,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "d0d9b46f1fe965f35c2e93414d0ea35f68138aa04ef56ea1a3b146bdf111d37b",
      "answer_sha256": "f4bb934b569d4617e47f2bd53366e9217d4c2d2cf09511a1858879eed805dc24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Task routing: Assigns automated queues to streamline handoffs between departments.",
      "first_vendor_offset": 1275
    },
    {
      "id": "c5f85d5636f5887bcebe",
      "record_id": "loan-origination-software|q9|Google AI Overviews|3",
      "criterion_id": "cloud",
      "engine": "Google AI Overviews",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 980,
      "end": 1061,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "bf3278a4ddd355fedb8bc9bcddc46ad73fdb7567ad79eb15dbeba827d8d2b05a",
      "answer_sha256": "f4bb934b569d4617e47f2bd53366e9217d4c2d2cf09511a1858879eed805dc24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Cloud infrastructure: Enables secure, remote access and automatic system updates.",
      "first_vendor_offset": 1275
    },
    {
      "id": "999b60e66b061793a839",
      "record_id": "loan-origination-software|q9|Google AI Overviews|3",
      "criterion_id": "remote",
      "engine": "Google AI Overviews",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 980,
      "end": 1061,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "bf3278a4ddd355fedb8bc9bcddc46ad73fdb7567ad79eb15dbeba827d8d2b05a",
      "answer_sha256": "f4bb934b569d4617e47f2bd53366e9217d4c2d2cf09511a1858879eed805dc24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Cloud infrastructure: Enables secure, remote access and automatic system updates.",
      "first_vendor_offset": 1275
    },
    {
      "id": "a6b0c091b04c81870b94",
      "record_id": "loan-origination-software|q9|Google AI Overviews|3",
      "criterion_id": "updates",
      "engine": "Google AI Overviews",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 980,
      "end": 1061,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "bf3278a4ddd355fedb8bc9bcddc46ad73fdb7567ad79eb15dbeba827d8d2b05a",
      "answer_sha256": "f4bb934b569d4617e47f2bd53366e9217d4c2d2cf09511a1858879eed805dc24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Cloud infrastructure: Enables secure, remote access and automatic system updates.",
      "first_vendor_offset": 1275
    },
    {
      "id": "f032d882851d1e543045",
      "record_id": "loan-origination-software|q9|Google AI Overviews|3",
      "criterion_id": "security_general",
      "engine": "Google AI Overviews",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 980,
      "end": 1061,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "bf3278a4ddd355fedb8bc9bcddc46ad73fdb7567ad79eb15dbeba827d8d2b05a",
      "answer_sha256": "f4bb934b569d4617e47f2bd53366e9217d4c2d2cf09511a1858879eed805dc24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Cloud infrastructure: Enables secure, remote access and automatic system updates.",
      "first_vendor_offset": 1275
    },
    {
      "id": "eee16bf2f9b39be79ef3",
      "record_id": "loan-origination-software|q9|Google AI Overviews|3",
      "criterion_id": "portal",
      "engine": "Google AI Overviews",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1062,
      "end": 1139,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "5a10b124b39457f37dbc83b53ab8e2ebe205e3b7233adbf1475b9b8300a7cf9b",
      "answer_sha256": "f4bb934b569d4617e47f2bd53366e9217d4c2d2cf09511a1858879eed805dc24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Borrower portal: Offers a clean, intuitive multi-channel digital intake flow.",
      "first_vendor_offset": 1275
    },
    {
      "id": "fd897a7fd0f21016d16b",
      "record_id": "loan-origination-software|q9|Google AI Overviews|3",
      "criterion_id": "borrower_usable",
      "engine": "Google AI Overviews",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1062,
      "end": 1139,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "5a10b124b39457f37dbc83b53ab8e2ebe205e3b7233adbf1475b9b8300a7cf9b",
      "answer_sha256": "f4bb934b569d4617e47f2bd53366e9217d4c2d2cf09511a1858879eed805dc24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Borrower portal: Offers a clean, intuitive multi-channel digital intake flow.",
      "first_vendor_offset": 1275
    },
    {
      "id": "afc2a4415afd4232cd99",
      "record_id": "loan-origination-software|q9|Google AI Overviews|3",
      "criterion_id": "multi_channel",
      "engine": "Google AI Overviews",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1062,
      "end": 1139,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "5a10b124b39457f37dbc83b53ab8e2ebe205e3b7233adbf1475b9b8300a7cf9b",
      "answer_sha256": "f4bb934b569d4617e47f2bd53366e9217d4c2d2cf09511a1858879eed805dc24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Borrower portal: Offers a clean, intuitive multi-channel digital intake flow.",
      "first_vendor_offset": 1275
    },
    {
      "id": "faa2960c4836ceabe8f3",
      "record_id": "loan-origination-software|q9|Google AI Overviews|3",
      "criterion_id": "intake",
      "engine": "Google AI Overviews",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1062,
      "end": 1139,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "5a10b124b39457f37dbc83b53ab8e2ebe205e3b7233adbf1475b9b8300a7cf9b",
      "answer_sha256": "f4bb934b569d4617e47f2bd53366e9217d4c2d2cf09511a1858879eed805dc24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Borrower portal: Offers a clean, intuitive multi-channel digital intake flow.",
      "first_vendor_offset": 1275
    },
    {
      "id": "07a6b27fe1a167a50e8b",
      "record_id": "loan-origination-software|q9|Google AI Overviews|3",
      "criterion_id": "staff_usable",
      "engine": "Google AI Overviews",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1140,
      "end": 1211,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "5d1cb6d3506f4884b955e1e38cc7579bea5b6aca7d6451c5b495558b6dcf3a0e",
      "answer_sha256": "f4bb934b569d4617e47f2bd53366e9217d4c2d2cf09511a1858879eed805dc24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Staff dashboards: Minimizes training time with unified reporting tools.",
      "first_vendor_offset": 1275
    },
    {
      "id": "380c804f8206389403cf",
      "record_id": "loan-origination-software|q9|Google AI Overviews|3",
      "criterion_id": "report_general",
      "engine": "Google AI Overviews",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1140,
      "end": 1211,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "5d1cb6d3506f4884b955e1e38cc7579bea5b6aca7d6451c5b495558b6dcf3a0e",
      "answer_sha256": "f4bb934b569d4617e47f2bd53366e9217d4c2d2cf09511a1858879eed805dc24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Staff dashboards: Minimizes training time with unified reporting tools.",
      "first_vendor_offset": 1275
    },
    {
      "id": "fe4f2bfd7bfa76538a3d",
      "record_id": "loan-origination-software|q9|Google AI Overviews|3",
      "criterion_id": "central_reporting",
      "engine": "Google AI Overviews",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1140,
      "end": 1211,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "5d1cb6d3506f4884b955e1e38cc7579bea5b6aca7d6451c5b495558b6dcf3a0e",
      "answer_sha256": "f4bb934b569d4617e47f2bd53366e9217d4c2d2cf09511a1858879eed805dc24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Staff dashboards: Minimizes training time with unified reporting tools.",
      "first_vendor_offset": 1275
    },
    {
      "id": "64f93eaa6c4f5da847bf",
      "record_id": "loan-origination-software|q9|Perplexity|1",
      "criterion_id": "fit",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 197,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.backbase.com/blog/loan-origination-software",
        "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/"
      ],
      "source_state": "attached source",
      "quote_sha256": "d284c3fc63c177081f0ddd3a1e434f915b37cc781223a30e945a00198b361ba4",
      "answer_sha256": "fdf44632818a19db7a44af1ea11aa4392c9922842fbff2876a49c60d6cc569da",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2616
    },
    {
      "id": "0a1431ae1cc544e1cdea",
      "record_id": "loan-origination-software|q9|Perplexity|1",
      "criterion_id": "integration_general",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 197,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.backbase.com/blog/loan-origination-software",
        "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/"
      ],
      "source_state": "attached source",
      "quote_sha256": "d284c3fc63c177081f0ddd3a1e434f915b37cc781223a30e945a00198b361ba4",
      "answer_sha256": "fdf44632818a19db7a44af1ea11aa4392c9922842fbff2876a49c60d6cc569da",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2616
    },
    {
      "id": "2654889a99a8620e5527",
      "record_id": "loan-origination-software|q9|Perplexity|1",
      "criterion_id": "automation",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 197,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.backbase.com/blog/loan-origination-software",
        "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/"
      ],
      "source_state": "attached source",
      "quote_sha256": "d284c3fc63c177081f0ddd3a1e434f915b37cc781223a30e945a00198b361ba4",
      "answer_sha256": "fdf44632818a19db7a44af1ea11aa4392c9922842fbff2876a49c60d6cc569da",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2616
    },
    {
      "id": "e440b9fae36d061d54a2",
      "record_id": "loan-origination-software|q9|Perplexity|1",
      "criterion_id": "compliance",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 197,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.backbase.com/blog/loan-origination-software",
        "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/"
      ],
      "source_state": "attached source",
      "quote_sha256": "d284c3fc63c177081f0ddd3a1e434f915b37cc781223a30e945a00198b361ba4",
      "answer_sha256": "fdf44632818a19db7a44af1ea11aa4392c9922842fbff2876a49c60d6cc569da",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2616
    },
    {
      "id": "b49eeeee12aa14f172b6",
      "record_id": "loan-origination-software|q9|Perplexity|1",
      "criterion_id": "volume_growth",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 197,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.backbase.com/blog/loan-origination-software",
        "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/"
      ],
      "source_state": "attached source",
      "quote_sha256": "d284c3fc63c177081f0ddd3a1e434f915b37cc781223a30e945a00198b361ba4",
      "answer_sha256": "fdf44632818a19db7a44af1ea11aa4392c9922842fbff2876a49c60d6cc569da",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2616
    },
    {
      "id": "c82653be26ab3b54575f",
      "record_id": "loan-origination-software|q9|Perplexity|1",
      "criterion_id": "ease_general",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 197,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.backbase.com/blog/loan-origination-software",
        "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/"
      ],
      "source_state": "attached source",
      "quote_sha256": "d284c3fc63c177081f0ddd3a1e434f915b37cc781223a30e945a00198b361ba4",
      "answer_sha256": "fdf44632818a19db7a44af1ea11aa4392c9922842fbff2876a49c60d6cc569da",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2616
    },
    {
      "id": "cfa0204400efd53e6509",
      "record_id": "loan-origination-software|q9|Perplexity|1",
      "criterion_id": "fit",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 224,
      "end": 413,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://www.backbase.com/blog/loan-origination-software",
        "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/"
      ],
      "source_state": "attached source",
      "quote_sha256": "76f37c58a2aa8cb2ba4a91c138f0ee7b2a8c492d702efe4bd6ef017aefe06b46",
      "answer_sha256": "fdf44632818a19db7a44af1ea11aa4392c9922842fbff2876a49c60d6cc569da",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2616
    },
    {
      "id": "2ac319864ff836dd1908",
      "record_id": "loan-origination-software|q9|Perplexity|1",
      "criterion_id": "loan_types",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 224,
      "end": 413,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://www.backbase.com/blog/loan-origination-software",
        "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/"
      ],
      "source_state": "attached source",
      "quote_sha256": "76f37c58a2aa8cb2ba4a91c138f0ee7b2a8c492d702efe4bd6ef017aefe06b46",
      "answer_sha256": "fdf44632818a19db7a44af1ea11aa4392c9922842fbff2876a49c60d6cc569da",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2616
    },
    {
      "id": "cc887e4dcc8ad7d4de99",
      "record_id": "loan-origination-software|q9|Perplexity|1",
      "criterion_id": "intake",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 414,
      "end": 599,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://www.abrigo.com/blog/basic-functions-loan-origination-system/",
        "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/",
        "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/"
      ],
      "source_state": "attached source",
      "quote_sha256": "05aa98c4c2d4c4abcd69ce16ce5de3ab8dff394798583fb7e11d3aa1606c8617",
      "answer_sha256": "fdf44632818a19db7a44af1ea11aa4392c9922842fbff2876a49c60d6cc569da",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2616
    },
    {
      "id": "fce42e9fe9c0ee18b6fb",
      "record_id": "loan-origination-software|q9|Perplexity|1",
      "criterion_id": "mobile_or_channels",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 414,
      "end": 599,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://www.abrigo.com/blog/basic-functions-loan-origination-system/",
        "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/",
        "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/"
      ],
      "source_state": "attached source",
      "quote_sha256": "05aa98c4c2d4c4abcd69ce16ce5de3ab8dff394798583fb7e11d3aa1606c8617",
      "answer_sha256": "fdf44632818a19db7a44af1ea11aa4392c9922842fbff2876a49c60d6cc569da",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2616
    },
    {
      "id": "150f7a417dc79e6bdf4f",
      "record_id": "loan-origination-software|q9|Perplexity|1",
      "criterion_id": "dynamicforms",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 414,
      "end": 599,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://www.abrigo.com/blog/basic-functions-loan-origination-system/",
        "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/",
        "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/"
      ],
      "source_state": "attached source",
      "quote_sha256": "05aa98c4c2d4c4abcd69ce16ce5de3ab8dff394798583fb7e11d3aa1606c8617",
      "answer_sha256": "fdf44632818a19db7a44af1ea11aa4392c9922842fbff2876a49c60d6cc569da",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2616
    },
    {
      "id": "5fe8af5474ce623f1984",
      "record_id": "loan-origination-software|q9|Perplexity|1",
      "criterion_id": "underwrite",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 600,
      "end": 795,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.vergentlms.com/servicing-vs-origination-loan-software/",
        "https://www.zeitro.com/blog/key-features-of-loan-origination-system-how-it-helps-lenders-and-loan-officers-close-more-loans-efficiently"
      ],
      "source_state": "attached source",
      "quote_sha256": "a1b08cf27e62fd28a5968e06804bd0e535a318de0bb315eb11cd315ac913c3d6",
      "answer_sha256": "fdf44632818a19db7a44af1ea11aa4392c9922842fbff2876a49c60d6cc569da",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2616
    },
    {
      "id": "555b1c0b124558853d90",
      "record_id": "loan-origination-software|q9|Perplexity|1",
      "criterion_id": "autorules",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 600,
      "end": 795,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.vergentlms.com/servicing-vs-origination-loan-software/",
        "https://www.zeitro.com/blog/key-features-of-loan-origination-system-how-it-helps-lenders-and-loan-officers-close-more-loans-efficiently"
      ],
      "source_state": "attached source",
      "quote_sha256": "a1b08cf27e62fd28a5968e06804bd0e535a318de0bb315eb11cd315ac913c3d6",
      "answer_sha256": "fdf44632818a19db7a44af1ea11aa4392c9922842fbff2876a49c60d6cc569da",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2616
    },
    {
      "id": "c21ce4991e575f071108",
      "record_id": "loan-origination-software|q9|Perplexity|1",
      "criterion_id": "credit_config",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 600,
      "end": 795,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.vergentlms.com/servicing-vs-origination-loan-software/",
        "https://www.zeitro.com/blog/key-features-of-loan-origination-system-how-it-helps-lenders-and-loan-officers-close-more-loans-efficiently"
      ],
      "source_state": "attached source",
      "quote_sha256": "a1b08cf27e62fd28a5968e06804bd0e535a318de0bb315eb11cd315ac913c3d6",
      "answer_sha256": "fdf44632818a19db7a44af1ea11aa4392c9922842fbff2876a49c60d6cc569da",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2616
    },
    {
      "id": "131c5a115da69aaf2072",
      "record_id": "loan-origination-software|q9|Perplexity|1",
      "criterion_id": "task_routing",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 796,
      "end": 980,
      "sources": [
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/",
        "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
        "https://www.ranosys.com/blog/insights/how-can-financial-institutions-optimize-their-loan-origination-systems/"
      ],
      "source_state": "attached source",
      "quote_sha256": "35f7be0974bef0a888d7508ab02c7fa658f839e8b4d66e27bde0da70cade9e67",
      "answer_sha256": "fdf44632818a19db7a44af1ea11aa4392c9922842fbff2876a49c60d6cc569da",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2616
    },
    {
      "id": "a31188323d4d08d2f977",
      "record_id": "loan-origination-software|q9|Perplexity|1",
      "criterion_id": "stage_tracking",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 796,
      "end": 980,
      "sources": [
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/",
        "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
        "https://www.ranosys.com/blog/insights/how-can-financial-institutions-optimize-their-loan-origination-systems/"
      ],
      "source_state": "attached source",
      "quote_sha256": "35f7be0974bef0a888d7508ab02c7fa658f839e8b4d66e27bde0da70cade9e67",
      "answer_sha256": "fdf44632818a19db7a44af1ea11aa4392c9922842fbff2876a49c60d6cc569da",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2616
    },
    {
      "id": "4ef81e057456d73f1243",
      "record_id": "loan-origination-software|q9|Perplexity|1",
      "criterion_id": "automation",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 796,
      "end": 980,
      "sources": [
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/",
        "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
        "https://www.ranosys.com/blog/insights/how-can-financial-institutions-optimize-their-loan-origination-systems/"
      ],
      "source_state": "attached source",
      "quote_sha256": "35f7be0974bef0a888d7508ab02c7fa658f839e8b4d66e27bde0da70cade9e67",
      "answer_sha256": "fdf44632818a19db7a44af1ea11aa4392c9922842fbff2876a49c60d6cc569da",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2616
    },
    {
      "id": "0171ebc0cbe312c57105",
      "record_id": "loan-origination-software|q9|Perplexity|1",
      "criterion_id": "document_screening",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 796,
      "end": 980,
      "sources": [
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/",
        "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
        "https://www.ranosys.com/blog/insights/how-can-financial-institutions-optimize-their-loan-origination-systems/"
      ],
      "source_state": "attached source",
      "quote_sha256": "35f7be0974bef0a888d7508ab02c7fa658f839e8b4d66e27bde0da70cade9e67",
      "answer_sha256": "fdf44632818a19db7a44af1ea11aa4392c9922842fbff2876a49c60d6cc569da",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2616
    },
    {
      "id": "6f3d83a4b1884fc90cef",
      "record_id": "loan-origination-software|q9|Perplexity|1",
      "criterion_id": "data_verification",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 796,
      "end": 980,
      "sources": [
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/",
        "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
        "https://www.ranosys.com/blog/insights/how-can-financial-institutions-optimize-their-loan-origination-systems/"
      ],
      "source_state": "attached source",
      "quote_sha256": "35f7be0974bef0a888d7508ab02c7fa658f839e8b4d66e27bde0da70cade9e67",
      "answer_sha256": "fdf44632818a19db7a44af1ea11aa4392c9922842fbff2876a49c60d6cc569da",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2616
    },
    {
      "id": "25cea5caadd7db4659dd",
      "record_id": "loan-origination-software|q9|Perplexity|1",
      "criterion_id": "upload",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 981,
      "end": 1137,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.backbase.com/blog/loan-origination-software",
        "https://www.investglass.com/loan-origination-system-a-complete-guide-for-modern-lenders/",
        "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
        "https://www.mortgageautomator.com/resources/what-is-a-loan-origination-system-los-and-do-you-need-one"
      ],
      "source_state": "attached source",
      "quote_sha256": "e63264e3808dc8cde2c0c307ff03e3f11ae4dc91a06331a87dc4106894273357",
      "answer_sha256": "fdf44632818a19db7a44af1ea11aa4392c9922842fbff2876a49c60d6cc569da",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2616
    },
    {
      "id": "24010cd77b57c10d011c",
      "record_id": "loan-origination-software|q9|Perplexity|1",
      "criterion_id": "document",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 981,
      "end": 1137,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.backbase.com/blog/loan-origination-software",
        "https://www.investglass.com/loan-origination-system-a-complete-guide-for-modern-lenders/",
        "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
        "https://www.mortgageautomator.com/resources/what-is-a-loan-origination-system-los-and-do-you-need-one"
      ],
      "source_state": "attached source",
      "quote_sha256": "e63264e3808dc8cde2c0c307ff03e3f11ae4dc91a06331a87dc4106894273357",
      "answer_sha256": "fdf44632818a19db7a44af1ea11aa4392c9922842fbff2876a49c60d6cc569da",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2616
    },
    {
      "id": "a80b1cdf13a499fa1082",
      "record_id": "loan-origination-software|q9|Perplexity|1",
      "criterion_id": "docgeneration",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 981,
      "end": 1137,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.backbase.com/blog/loan-origination-software",
        "https://www.investglass.com/loan-origination-system-a-complete-guide-for-modern-lenders/",
        "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
        "https://www.mortgageautomator.com/resources/what-is-a-loan-origination-system-los-and-do-you-need-one"
      ],
      "source_state": "attached source",
      "quote_sha256": "e63264e3808dc8cde2c0c307ff03e3f11ae4dc91a06331a87dc4106894273357",
      "answer_sha256": "fdf44632818a19db7a44af1ea11aa4392c9922842fbff2876a49c60d6cc569da",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2616
    },
    {
      "id": "873e3f97fcdeb00141fe",
      "record_id": "loan-origination-software|q9|Perplexity|1",
      "criterion_id": "esign",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 981,
      "end": 1137,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.backbase.com/blog/loan-origination-software",
        "https://www.investglass.com/loan-origination-system-a-complete-guide-for-modern-lenders/",
        "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
        "https://www.mortgageautomator.com/resources/what-is-a-loan-origination-system-los-and-do-you-need-one"
      ],
      "source_state": "attached source",
      "quote_sha256": "e63264e3808dc8cde2c0c307ff03e3f11ae4dc91a06331a87dc4106894273357",
      "answer_sha256": "fdf44632818a19db7a44af1ea11aa4392c9922842fbff2876a49c60d6cc569da",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2616
    },
    {
      "id": "6a49d111746b1eacad17",
      "record_id": "loan-origination-software|q9|Perplexity|1",
      "criterion_id": "kyc",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1138,
      "end": 1313,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.backbase.com/blog/loan-origination-software",
        "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/",
        "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
        "https://www.vergentlms.com/servicing-vs-origination-loan-software/"
      ],
      "source_state": "attached source",
      "quote_sha256": "85802c4edb80674372da2f556318a7d49018c676f9861ae97d38c7ed3aceb256",
      "answer_sha256": "fdf44632818a19db7a44af1ea11aa4392c9922842fbff2876a49c60d6cc569da",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2616
    },
    {
      "id": "c45decd41de566755625",
      "record_id": "loan-origination-software|q9|Perplexity|1",
      "criterion_id": "activity_logs",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1138,
      "end": 1313,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.backbase.com/blog/loan-origination-software",
        "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/",
        "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
        "https://www.vergentlms.com/servicing-vs-origination-loan-software/"
      ],
      "source_state": "attached source",
      "quote_sha256": "85802c4edb80674372da2f556318a7d49018c676f9861ae97d38c7ed3aceb256",
      "answer_sha256": "fdf44632818a19db7a44af1ea11aa4392c9922842fbff2876a49c60d6cc569da",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2616
    },
    {
      "id": "b2306c81c89044b04791",
      "record_id": "loan-origination-software|q9|Perplexity|1",
      "criterion_id": "disclosures",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1138,
      "end": 1313,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.backbase.com/blog/loan-origination-software",
        "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/",
        "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
        "https://www.vergentlms.com/servicing-vs-origination-loan-software/"
      ],
      "source_state": "attached source",
      "quote_sha256": "85802c4edb80674372da2f556318a7d49018c676f9861ae97d38c7ed3aceb256",
      "answer_sha256": "fdf44632818a19db7a44af1ea11aa4392c9922842fbff2876a49c60d6cc569da",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2616
    },
    {
      "id": "030fa8767746629f3fae",
      "record_id": "loan-origination-software|q9|Perplexity|1",
      "criterion_id": "compliance",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1138,
      "end": 1313,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.backbase.com/blog/loan-origination-software",
        "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/",
        "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
        "https://www.vergentlms.com/servicing-vs-origination-loan-software/"
      ],
      "source_state": "attached source",
      "quote_sha256": "85802c4edb80674372da2f556318a7d49018c676f9861ae97d38c7ed3aceb256",
      "answer_sha256": "fdf44632818a19db7a44af1ea11aa4392c9922842fbff2876a49c60d6cc569da",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2616
    },
    {
      "id": "fb628f79b6ffb7057c1d",
      "record_id": "loan-origination-software|q9|Perplexity|1",
      "criterion_id": "integrate",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1314,
      "end": 1529,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.backbase.com/blog/loan-origination-software",
        "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
        "https://www.vergentlms.com/servicing-vs-origination-loan-software/"
      ],
      "source_state": "attached source",
      "quote_sha256": "2764c2f6d58a653d03b9204c6925bc9b6fb541aeadb6d29c7e59b9fa774f59fc",
      "answer_sha256": "fdf44632818a19db7a44af1ea11aa4392c9922842fbff2876a49c60d6cc569da",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2616
    },
    {
      "id": "739f50270c719d843c8b",
      "record_id": "loan-origination-software|q9|Perplexity|1",
      "criterion_id": "api_general",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1314,
      "end": 1529,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.backbase.com/blog/loan-origination-software",
        "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
        "https://www.vergentlms.com/servicing-vs-origination-loan-software/"
      ],
      "source_state": "attached source",
      "quote_sha256": "2764c2f6d58a653d03b9204c6925bc9b6fb541aeadb6d29c7e59b9fa774f59fc",
      "answer_sha256": "fdf44632818a19db7a44af1ea11aa4392c9922842fbff2876a49c60d6cc569da",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2616
    },
    {
      "id": "7f35749506bfca9bcc85",
      "record_id": "loan-origination-software|q9|Perplexity|1",
      "criterion_id": "report",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1530,
      "end": 1697,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
        "https://www.mortgageautomator.com/resources/what-is-a-loan-origination-system-los-and-do-you-need-one"
      ],
      "source_state": "attached source",
      "quote_sha256": "99aebdfbda5883d22885892e20d523186ce9d1e500602c7cc4697629d0b607db",
      "answer_sha256": "fdf44632818a19db7a44af1ea11aa4392c9922842fbff2876a49c60d6cc569da",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2616
    },
    {
      "id": "f461a8eb8b713e9c1c27",
      "record_id": "loan-origination-software|q9|Perplexity|1",
      "criterion_id": "security_general",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1698,
      "end": 1886,
      "sources": [
        "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/",
        "https://www.mortgageautomator.com/resources/what-is-a-loan-origination-system-los-and-do-you-need-one"
      ],
      "source_state": "attached source",
      "quote_sha256": "132fe83ac916b58946feb8699b6946a1c63cfeda5dbb2748715f6c480a10f902",
      "answer_sha256": "fdf44632818a19db7a44af1ea11aa4392c9922842fbff2876a49c60d6cc569da",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2616
    },
    {
      "id": "00e61bb2b5baa3649211",
      "record_id": "loan-origination-software|q9|Perplexity|1",
      "criterion_id": "encrypt",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1698,
      "end": 1886,
      "sources": [
        "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/",
        "https://www.mortgageautomator.com/resources/what-is-a-loan-origination-system-los-and-do-you-need-one"
      ],
      "source_state": "attached source",
      "quote_sha256": "132fe83ac916b58946feb8699b6946a1c63cfeda5dbb2748715f6c480a10f902",
      "answer_sha256": "fdf44632818a19db7a44af1ea11aa4392c9922842fbff2876a49c60d6cc569da",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2616
    },
    {
      "id": "92dd052fcfd88714af13",
      "record_id": "loan-origination-software|q9|Perplexity|1",
      "criterion_id": "permissions",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1698,
      "end": 1886,
      "sources": [
        "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/",
        "https://www.mortgageautomator.com/resources/what-is-a-loan-origination-system-los-and-do-you-need-one"
      ],
      "source_state": "attached source",
      "quote_sha256": "132fe83ac916b58946feb8699b6946a1c63cfeda5dbb2748715f6c480a10f902",
      "answer_sha256": "fdf44632818a19db7a44af1ea11aa4392c9922842fbff2876a49c60d6cc569da",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2616
    },
    {
      "id": "00c82f9de3f8a15c9478",
      "record_id": "loan-origination-software|q9|Perplexity|1",
      "criterion_id": "activity_logs",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1698,
      "end": 1886,
      "sources": [
        "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/",
        "https://www.mortgageautomator.com/resources/what-is-a-loan-origination-system-los-and-do-you-need-one"
      ],
      "source_state": "attached source",
      "quote_sha256": "132fe83ac916b58946feb8699b6946a1c63cfeda5dbb2748715f6c480a10f902",
      "answer_sha256": "fdf44632818a19db7a44af1ea11aa4392c9922842fbff2876a49c60d6cc569da",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2616
    },
    {
      "id": "cabd3bc5d305e2e34c4d",
      "record_id": "loan-origination-software|q9|Perplexity|1",
      "criterion_id": "volume_growth",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1887,
      "end": 2072,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://www.backbase.com/blog/loan-origination-software",
        "https://www.biz2x.com/loan-origination-software/5-must-have-features-for-a-loan-origination-system-in-2025/"
      ],
      "source_state": "attached source",
      "quote_sha256": "3b9275fe81d7b3981c521af732589c51ff3b6a0c24a693ecd730b3f8fec19bd3",
      "answer_sha256": "fdf44632818a19db7a44af1ea11aa4392c9922842fbff2876a49c60d6cc569da",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2616
    },
    {
      "id": "e6dbfde2dbd929a44701",
      "record_id": "loan-origination-software|q9|Perplexity|1",
      "criterion_id": "architecture",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1887,
      "end": 2072,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://www.backbase.com/blog/loan-origination-software",
        "https://www.biz2x.com/loan-origination-software/5-must-have-features-for-a-loan-origination-system-in-2025/"
      ],
      "source_state": "attached source",
      "quote_sha256": "3b9275fe81d7b3981c521af732589c51ff3b6a0c24a693ecd730b3f8fec19bd3",
      "answer_sha256": "fdf44632818a19db7a44af1ea11aa4392c9922842fbff2876a49c60d6cc569da",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2616
    },
    {
      "id": "60dae4c9cd1e66966e3d",
      "record_id": "loan-origination-software|q9|Perplexity|1",
      "criterion_id": "staff_usable",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2073,
      "end": 2232,
      "sources": [
        "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/",
        "https://www.novactech.com/blog/loan-origination-systems-complete-guide"
      ],
      "source_state": "attached source",
      "quote_sha256": "f2d5f8c57a2a4fb03deeb2e9ba33cfbcda5c25a4e9357905c387f94850cf57bc",
      "answer_sha256": "fdf44632818a19db7a44af1ea11aa4392c9922842fbff2876a49c60d6cc569da",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2616
    },
    {
      "id": "f73ca1a488054a075e37",
      "record_id": "loan-origination-software|q9|Perplexity|1",
      "criterion_id": "nocode",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2073,
      "end": 2232,
      "sources": [
        "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/",
        "https://www.novactech.com/blog/loan-origination-systems-complete-guide"
      ],
      "source_state": "attached source",
      "quote_sha256": "f2d5f8c57a2a4fb03deeb2e9ba33cfbcda5c25a4e9357905c387f94850cf57bc",
      "answer_sha256": "fdf44632818a19db7a44af1ea11aa4392c9922842fbff2876a49c60d6cc569da",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2616
    },
    {
      "id": "b09a262a9a92df1b5a75",
      "record_id": "loan-origination-software|q9|Perplexity|1",
      "criterion_id": "system_config",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2073,
      "end": 2232,
      "sources": [
        "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/",
        "https://www.novactech.com/blog/loan-origination-systems-complete-guide"
      ],
      "source_state": "attached source",
      "quote_sha256": "f2d5f8c57a2a4fb03deeb2e9ba33cfbcda5c25a4e9357905c387f94850cf57bc",
      "answer_sha256": "fdf44632818a19db7a44af1ea11aa4392c9922842fbff2876a49c60d6cc569da",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2616
    },
    {
      "id": "78ba73593264f11182a7",
      "record_id": "loan-origination-software|q9|Perplexity|1",
      "criterion_id": "totalcost",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2233,
      "end": 2376,
      "sources": [
        "https://www.backbase.com/blog/loan-origination-software"
      ],
      "source_state": "attached source",
      "quote_sha256": "4b6c34b13997284c2348566fd5de42aea87fb376cfe07854779ed17764bd7976",
      "answer_sha256": "fdf44632818a19db7a44af1ea11aa4392c9922842fbff2876a49c60d6cc569da",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2616
    },
    {
      "id": "23c9b2128d5ff93eddc4",
      "record_id": "loan-origination-software|q9|Perplexity|1",
      "criterion_id": "fit",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2378,
      "end": 2616,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.backbase.com/blog/loan-origination-software",
        "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/"
      ],
      "source_state": "attached source",
      "quote_sha256": "3e307e48ce202592d5fd7ab5419f2a5cf54e8d7c560fa7a640314716a81a71ec",
      "answer_sha256": "fdf44632818a19db7a44af1ea11aa4392c9922842fbff2876a49c60d6cc569da",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2616
    },
    {
      "id": "c2b6d5dcda0515ba1009",
      "record_id": "loan-origination-software|q9|Perplexity|1",
      "criterion_id": "integration_general",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2378,
      "end": 2616,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.backbase.com/blog/loan-origination-software",
        "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/"
      ],
      "source_state": "attached source",
      "quote_sha256": "3e307e48ce202592d5fd7ab5419f2a5cf54e8d7c560fa7a640314716a81a71ec",
      "answer_sha256": "fdf44632818a19db7a44af1ea11aa4392c9922842fbff2876a49c60d6cc569da",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2616
    },
    {
      "id": "dba0258cd44ab64042d6",
      "record_id": "loan-origination-software|q9|Perplexity|1",
      "criterion_id": "automation",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2378,
      "end": 2616,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.backbase.com/blog/loan-origination-software",
        "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/"
      ],
      "source_state": "attached source",
      "quote_sha256": "3e307e48ce202592d5fd7ab5419f2a5cf54e8d7c560fa7a640314716a81a71ec",
      "answer_sha256": "fdf44632818a19db7a44af1ea11aa4392c9922842fbff2876a49c60d6cc569da",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2616
    },
    {
      "id": "f8a834c75ec22882be2e",
      "record_id": "loan-origination-software|q9|Perplexity|1",
      "criterion_id": "compliance",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2378,
      "end": 2616,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.backbase.com/blog/loan-origination-software",
        "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/"
      ],
      "source_state": "attached source",
      "quote_sha256": "3e307e48ce202592d5fd7ab5419f2a5cf54e8d7c560fa7a640314716a81a71ec",
      "answer_sha256": "fdf44632818a19db7a44af1ea11aa4392c9922842fbff2876a49c60d6cc569da",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2616
    },
    {
      "id": "0e6e323c2a3b6af4fafc",
      "record_id": "loan-origination-software|q9|Perplexity|1",
      "criterion_id": "volume_growth",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2378,
      "end": 2616,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.backbase.com/blog/loan-origination-software",
        "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/"
      ],
      "source_state": "attached source",
      "quote_sha256": "3e307e48ce202592d5fd7ab5419f2a5cf54e8d7c560fa7a640314716a81a71ec",
      "answer_sha256": "fdf44632818a19db7a44af1ea11aa4392c9922842fbff2876a49c60d6cc569da",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2616
    },
    {
      "id": "45d57618d333b596539b",
      "record_id": "loan-origination-software|q9|Perplexity|2",
      "criterion_id": "fit",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 338,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.backbase.com/blog/loan-origination-software"
      ],
      "source_state": "attached source",
      "quote_sha256": "3c68914005805eb483e8091aec97f5672a2f47300ab5b4647baa1f0ae74f2f1c",
      "answer_sha256": "004db9cd17266e9daef52c2cfa975d7f86dbaee942ff47fc576eb65fafd7f193",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2483
    },
    {
      "id": "22a368504ecdc5741bdc",
      "record_id": "loan-origination-software|q9|Perplexity|2",
      "criterion_id": "integration_general",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 338,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.backbase.com/blog/loan-origination-software"
      ],
      "source_state": "attached source",
      "quote_sha256": "3c68914005805eb483e8091aec97f5672a2f47300ab5b4647baa1f0ae74f2f1c",
      "answer_sha256": "004db9cd17266e9daef52c2cfa975d7f86dbaee942ff47fc576eb65fafd7f193",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2483
    },
    {
      "id": "2a2bb8ccb3802224ef08",
      "record_id": "loan-origination-software|q9|Perplexity|2",
      "criterion_id": "automation",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 338,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.backbase.com/blog/loan-origination-software"
      ],
      "source_state": "attached source",
      "quote_sha256": "3c68914005805eb483e8091aec97f5672a2f47300ab5b4647baa1f0ae74f2f1c",
      "answer_sha256": "004db9cd17266e9daef52c2cfa975d7f86dbaee942ff47fc576eb65fafd7f193",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2483
    },
    {
      "id": "9dc0c2991de398c423b3",
      "record_id": "loan-origination-software|q9|Perplexity|2",
      "criterion_id": "compliance",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 338,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.backbase.com/blog/loan-origination-software"
      ],
      "source_state": "attached source",
      "quote_sha256": "3c68914005805eb483e8091aec97f5672a2f47300ab5b4647baa1f0ae74f2f1c",
      "answer_sha256": "004db9cd17266e9daef52c2cfa975d7f86dbaee942ff47fc576eb65fafd7f193",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2483
    },
    {
      "id": "6602220f4c0d8a92fb87",
      "record_id": "loan-origination-software|q9|Perplexity|2",
      "criterion_id": "volume_growth",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 338,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.backbase.com/blog/loan-origination-software"
      ],
      "source_state": "attached source",
      "quote_sha256": "3c68914005805eb483e8091aec97f5672a2f47300ab5b4647baa1f0ae74f2f1c",
      "answer_sha256": "004db9cd17266e9daef52c2cfa975d7f86dbaee942ff47fc576eb65fafd7f193",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2483
    },
    {
      "id": "9de0715834ce90986150",
      "record_id": "loan-origination-software|q9|Perplexity|2",
      "criterion_id": "intake",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 338,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.backbase.com/blog/loan-origination-software"
      ],
      "source_state": "attached source",
      "quote_sha256": "3c68914005805eb483e8091aec97f5672a2f47300ab5b4647baa1f0ae74f2f1c",
      "answer_sha256": "004db9cd17266e9daef52c2cfa975d7f86dbaee942ff47fc576eb65fafd7f193",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2483
    },
    {
      "id": "6e68adf33fdca5f89688",
      "record_id": "loan-origination-software|q9|Perplexity|2",
      "criterion_id": "underwrite",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 338,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.backbase.com/blog/loan-origination-software"
      ],
      "source_state": "attached source",
      "quote_sha256": "3c68914005805eb483e8091aec97f5672a2f47300ab5b4647baa1f0ae74f2f1c",
      "answer_sha256": "004db9cd17266e9daef52c2cfa975d7f86dbaee942ff47fc576eb65fafd7f193",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2483
    },
    {
      "id": "affc6144e7ee427135cc",
      "record_id": "loan-origination-software|q9|Perplexity|2",
      "criterion_id": "document_handling",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 338,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.backbase.com/blog/loan-origination-software"
      ],
      "source_state": "attached source",
      "quote_sha256": "3c68914005805eb483e8091aec97f5672a2f47300ab5b4647baa1f0ae74f2f1c",
      "answer_sha256": "004db9cd17266e9daef52c2cfa975d7f86dbaee942ff47fc576eb65fafd7f193",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2483
    },
    {
      "id": "ed7483cdb5eadf646365",
      "record_id": "loan-origination-software|q9|Perplexity|2",
      "criterion_id": "approval_steps",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 338,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.backbase.com/blog/loan-origination-software"
      ],
      "source_state": "attached source",
      "quote_sha256": "3c68914005805eb483e8091aec97f5672a2f47300ab5b4647baa1f0ae74f2f1c",
      "answer_sha256": "004db9cd17266e9daef52c2cfa975d7f86dbaee942ff47fc576eb65fafd7f193",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2483
    },
    {
      "id": "805daa2326fbdbe9c3ed",
      "record_id": "loan-origination-software|q9|Perplexity|2",
      "criterion_id": "report_general",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 338,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.backbase.com/blog/loan-origination-software"
      ],
      "source_state": "attached source",
      "quote_sha256": "3c68914005805eb483e8091aec97f5672a2f47300ab5b4647baa1f0ae74f2f1c",
      "answer_sha256": "004db9cd17266e9daef52c2cfa975d7f86dbaee942ff47fc576eb65fafd7f193",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2483
    },
    {
      "id": "b0be8977fb7bb39f8fa3",
      "record_id": "loan-origination-software|q9|Perplexity|2",
      "criterion_id": "fit",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 365,
      "end": 587,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://www.backbase.com/blog/loan-origination-software",
        "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/"
      ],
      "source_state": "attached source",
      "quote_sha256": "ccb5e0832cbddcd386f5c7c6bbf141c6033e118bfea77551c11cdfc790ecccfb",
      "answer_sha256": "004db9cd17266e9daef52c2cfa975d7f86dbaee942ff47fc576eb65fafd7f193",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2483
    },
    {
      "id": "308b41091b5d50244f0c",
      "record_id": "loan-origination-software|q9|Perplexity|2",
      "criterion_id": "complex_structures",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 365,
      "end": 587,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://www.backbase.com/blog/loan-origination-software",
        "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/"
      ],
      "source_state": "attached source",
      "quote_sha256": "ccb5e0832cbddcd386f5c7c6bbf141c6033e118bfea77551c11cdfc790ecccfb",
      "answer_sha256": "004db9cd17266e9daef52c2cfa975d7f86dbaee942ff47fc576eb65fafd7f193",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2483
    },
    {
      "id": "f51ab926bcd3d8e8ee89",
      "record_id": "loan-origination-software|q9|Perplexity|2",
      "criterion_id": "multi_guarantors",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 365,
      "end": 587,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://www.backbase.com/blog/loan-origination-software",
        "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/"
      ],
      "source_state": "attached source",
      "quote_sha256": "ccb5e0832cbddcd386f5c7c6bbf141c6033e118bfea77551c11cdfc790ecccfb",
      "answer_sha256": "004db9cd17266e9daef52c2cfa975d7f86dbaee942ff47fc576eb65fafd7f193",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2483
    },
    {
      "id": "39eb080f475f52db2a2b",
      "record_id": "loan-origination-software|q9|Perplexity|2",
      "criterion_id": "multi_channel",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 365,
      "end": 587,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://www.backbase.com/blog/loan-origination-software",
        "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/"
      ],
      "source_state": "attached source",
      "quote_sha256": "ccb5e0832cbddcd386f5c7c6bbf141c6033e118bfea77551c11cdfc790ecccfb",
      "answer_sha256": "004db9cd17266e9daef52c2cfa975d7f86dbaee942ff47fc576eb65fafd7f193",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2483
    },
    {
      "id": "fc8f16708f5676ebb9ef",
      "record_id": "loan-origination-software|q9|Perplexity|2",
      "criterion_id": "workflow_config",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 588,
      "end": 781,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/"
      ],
      "source_state": "attached source",
      "quote_sha256": "ddda2889573d96c3f4d7a4d7c2da1484b07d60de4fac61d83bb70577d71043ed",
      "answer_sha256": "004db9cd17266e9daef52c2cfa975d7f86dbaee942ff47fc576eb65fafd7f193",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2483
    },
    {
      "id": "04e980d5cb071ad6bd64",
      "record_id": "loan-origination-software|q9|Perplexity|2",
      "criterion_id": "task_routing",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 588,
      "end": 781,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/"
      ],
      "source_state": "attached source",
      "quote_sha256": "ddda2889573d96c3f4d7a4d7c2da1484b07d60de4fac61d83bb70577d71043ed",
      "answer_sha256": "004db9cd17266e9daef52c2cfa975d7f86dbaee942ff47fc576eb65fafd7f193",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2483
    },
    {
      "id": "3aed299aaa50cec4be41",
      "record_id": "loan-origination-software|q9|Perplexity|2",
      "criterion_id": "automation",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 588,
      "end": 781,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/"
      ],
      "source_state": "attached source",
      "quote_sha256": "ddda2889573d96c3f4d7a4d7c2da1484b07d60de4fac61d83bb70577d71043ed",
      "answer_sha256": "004db9cd17266e9daef52c2cfa975d7f86dbaee942ff47fc576eb65fafd7f193",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2483
    },
    {
      "id": "59807e54c6e4efd41344",
      "record_id": "loan-origination-software|q9|Perplexity|2",
      "criterion_id": "approval_steps",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 588,
      "end": 781,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/"
      ],
      "source_state": "attached source",
      "quote_sha256": "ddda2889573d96c3f4d7a4d7c2da1484b07d60de4fac61d83bb70577d71043ed",
      "answer_sha256": "004db9cd17266e9daef52c2cfa975d7f86dbaee942ff47fc576eb65fafd7f193",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2483
    },
    {
      "id": "3d45290b6f9b596fce63",
      "record_id": "loan-origination-software|q9|Perplexity|2",
      "criterion_id": "exception_handling",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 588,
      "end": 781,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/"
      ],
      "source_state": "attached source",
      "quote_sha256": "ddda2889573d96c3f4d7a4d7c2da1484b07d60de4fac61d83bb70577d71043ed",
      "answer_sha256": "004db9cd17266e9daef52c2cfa975d7f86dbaee942ff47fc576eb65fafd7f193",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2483
    },
    {
      "id": "e6cbc4ed7958fd5fce85",
      "record_id": "loan-origination-software|q9|Perplexity|2",
      "criterion_id": "integrate",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 782,
      "end": 1009,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.backbase.com/blog/loan-origination-software",
        "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
        "https://www.vergentlms.com/servicing-vs-origination-loan-software/"
      ],
      "source_state": "attached source",
      "quote_sha256": "e03f4783e78815f1cb40b3bf97ef8744a06d1bcb82dafea4c89ed1cf9fcc2ca4",
      "answer_sha256": "004db9cd17266e9daef52c2cfa975d7f86dbaee942ff47fc576eb65fafd7f193",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2483
    },
    {
      "id": "adb41c4ebc52b6d0912e",
      "record_id": "loan-origination-software|q9|Perplexity|2",
      "criterion_id": "native_or_api",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 782,
      "end": 1009,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.backbase.com/blog/loan-origination-software",
        "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
        "https://www.vergentlms.com/servicing-vs-origination-loan-software/"
      ],
      "source_state": "attached source",
      "quote_sha256": "e03f4783e78815f1cb40b3bf97ef8744a06d1bcb82dafea4c89ed1cf9fcc2ca4",
      "answer_sha256": "004db9cd17266e9daef52c2cfa975d7f86dbaee942ff47fc576eb65fafd7f193",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2483
    },
    {
      "id": "a167a59eef4affc8e281",
      "record_id": "loan-origination-software|q9|Perplexity|2",
      "criterion_id": "underwrite",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1010,
      "end": 1225,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/",
        "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
        "https://www.vergentlms.com/servicing-vs-origination-loan-software/"
      ],
      "source_state": "attached source",
      "quote_sha256": "6ed7abab74d27ea1121a39fecdfaecc8ccafa7e9a127d6b6a0be0c02ed6fb47b",
      "answer_sha256": "004db9cd17266e9daef52c2cfa975d7f86dbaee942ff47fc576eb65fafd7f193",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2483
    },
    {
      "id": "515f2af8b0b8219ab65f",
      "record_id": "loan-origination-software|q9|Perplexity|2",
      "criterion_id": "autorules",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1010,
      "end": 1225,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/",
        "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
        "https://www.vergentlms.com/servicing-vs-origination-loan-software/"
      ],
      "source_state": "attached source",
      "quote_sha256": "6ed7abab74d27ea1121a39fecdfaecc8ccafa7e9a127d6b6a0be0c02ed6fb47b",
      "answer_sha256": "004db9cd17266e9daef52c2cfa975d7f86dbaee942ff47fc576eb65fafd7f193",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2483
    },
    {
      "id": "7d702c2e51e4bdc007f8",
      "record_id": "loan-origination-software|q9|Perplexity|2",
      "criterion_id": "automation",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1010,
      "end": 1225,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/",
        "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
        "https://www.vergentlms.com/servicing-vs-origination-loan-software/"
      ],
      "source_state": "attached source",
      "quote_sha256": "6ed7abab74d27ea1121a39fecdfaecc8ccafa7e9a127d6b6a0be0c02ed6fb47b",
      "answer_sha256": "004db9cd17266e9daef52c2cfa975d7f86dbaee942ff47fc576eb65fafd7f193",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2483
    },
    {
      "id": "669025faeaf4df2d4528",
      "record_id": "loan-origination-software|q9|Perplexity|2",
      "criterion_id": "document_screening",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1010,
      "end": 1225,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/",
        "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
        "https://www.vergentlms.com/servicing-vs-origination-loan-software/"
      ],
      "source_state": "attached source",
      "quote_sha256": "6ed7abab74d27ea1121a39fecdfaecc8ccafa7e9a127d6b6a0be0c02ed6fb47b",
      "answer_sha256": "004db9cd17266e9daef52c2cfa975d7f86dbaee942ff47fc576eb65fafd7f193",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2483
    },
    {
      "id": "f7933178365a2b8bf23e",
      "record_id": "loan-origination-software|q9|Perplexity|2",
      "criterion_id": "data_verification",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1010,
      "end": 1225,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/",
        "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
        "https://www.vergentlms.com/servicing-vs-origination-loan-software/"
      ],
      "source_state": "attached source",
      "quote_sha256": "6ed7abab74d27ea1121a39fecdfaecc8ccafa7e9a127d6b6a0be0c02ed6fb47b",
      "answer_sha256": "004db9cd17266e9daef52c2cfa975d7f86dbaee942ff47fc576eb65fafd7f193",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2483
    },
    {
      "id": "b701aa743c7474fbc6bb",
      "record_id": "loan-origination-software|q9|Perplexity|2",
      "criterion_id": "compliance",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1226,
      "end": 1411,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.backbase.com/blog/loan-origination-software",
        "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
        "https://www.mortgageautomator.com/resources/what-is-a-loan-origination-system-los-and-do-you-need-one",
        "https://www.vergentlms.com/servicing-vs-origination-loan-software/"
      ],
      "source_state": "attached source",
      "quote_sha256": "23834e0a2133ad3fc7be5d22cf27c5e51035c566a56591daa038c4499e7209e4",
      "answer_sha256": "004db9cd17266e9daef52c2cfa975d7f86dbaee942ff47fc576eb65fafd7f193",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2483
    },
    {
      "id": "56376c99c581a720d76e",
      "record_id": "loan-origination-software|q9|Perplexity|2",
      "criterion_id": "activity_logs",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1226,
      "end": 1411,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.backbase.com/blog/loan-origination-software",
        "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
        "https://www.mortgageautomator.com/resources/what-is-a-loan-origination-system-los-and-do-you-need-one",
        "https://www.vergentlms.com/servicing-vs-origination-loan-software/"
      ],
      "source_state": "attached source",
      "quote_sha256": "23834e0a2133ad3fc7be5d22cf27c5e51035c566a56591daa038c4499e7209e4",
      "answer_sha256": "004db9cd17266e9daef52c2cfa975d7f86dbaee942ff47fc576eb65fafd7f193",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2483
    },
    {
      "id": "f9434fb9882f4c1ede54",
      "record_id": "loan-origination-software|q9|Perplexity|2",
      "criterion_id": "reg_updates",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1226,
      "end": 1411,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.backbase.com/blog/loan-origination-software",
        "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
        "https://www.mortgageautomator.com/resources/what-is-a-loan-origination-system-los-and-do-you-need-one",
        "https://www.vergentlms.com/servicing-vs-origination-loan-software/"
      ],
      "source_state": "attached source",
      "quote_sha256": "23834e0a2133ad3fc7be5d22cf27c5e51035c566a56591daa038c4499e7209e4",
      "answer_sha256": "004db9cd17266e9daef52c2cfa975d7f86dbaee942ff47fc576eb65fafd7f193",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2483
    },
    {
      "id": "ac19a7bd11ca4bd7655b",
      "record_id": "loan-origination-software|q9|Perplexity|2",
      "criterion_id": "disclosures",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1226,
      "end": 1411,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.backbase.com/blog/loan-origination-software",
        "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
        "https://www.mortgageautomator.com/resources/what-is-a-loan-origination-system-los-and-do-you-need-one",
        "https://www.vergentlms.com/servicing-vs-origination-loan-software/"
      ],
      "source_state": "attached source",
      "quote_sha256": "23834e0a2133ad3fc7be5d22cf27c5e51035c566a56591daa038c4499e7209e4",
      "answer_sha256": "004db9cd17266e9daef52c2cfa975d7f86dbaee942ff47fc576eb65fafd7f193",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2483
    },
    {
      "id": "4a48e2b9f149c29e0787",
      "record_id": "loan-origination-software|q9|Perplexity|2",
      "criterion_id": "document",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1412,
      "end": 1560,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.backbase.com/blog/loan-origination-software",
        "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
        "https://www.mortgageautomator.com/resources/what-is-a-loan-origination-system-los-and-do-you-need-one"
      ],
      "source_state": "attached source",
      "quote_sha256": "39de473c98f236ac2a5e3aa0a50ded27aeee24429cc0be32a1ee38af9ea4dae9",
      "answer_sha256": "004db9cd17266e9daef52c2cfa975d7f86dbaee942ff47fc576eb65fafd7f193",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2483
    },
    {
      "id": "a33abef71327b6d134d9",
      "record_id": "loan-origination-software|q9|Perplexity|2",
      "criterion_id": "esign",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1412,
      "end": 1560,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.backbase.com/blog/loan-origination-software",
        "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
        "https://www.mortgageautomator.com/resources/what-is-a-loan-origination-system-los-and-do-you-need-one"
      ],
      "source_state": "attached source",
      "quote_sha256": "39de473c98f236ac2a5e3aa0a50ded27aeee24429cc0be32a1ee38af9ea4dae9",
      "answer_sha256": "004db9cd17266e9daef52c2cfa975d7f86dbaee942ff47fc576eb65fafd7f193",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2483
    },
    {
      "id": "bb4ab4765f102abcb3f7",
      "record_id": "loan-origination-software|q9|Perplexity|2",
      "criterion_id": "usable",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1561,
      "end": 1751,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/",
        "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
        "https://www.novactech.com/blog/loan-origination-systems-complete-guide"
      ],
      "source_state": "attached source",
      "quote_sha256": "c1e08c8f9fae04ab04dbdea77025236bdd780e0b086424d4d69a02879761dafc",
      "answer_sha256": "004db9cd17266e9daef52c2cfa975d7f86dbaee942ff47fc576eb65fafd7f193",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2483
    },
    {
      "id": "48499b4f0103687d30ff",
      "record_id": "loan-origination-software|q9|Perplexity|2",
      "criterion_id": "mobile_or_channels",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1561,
      "end": 1751,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/",
        "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
        "https://www.novactech.com/blog/loan-origination-systems-complete-guide"
      ],
      "source_state": "attached source",
      "quote_sha256": "c1e08c8f9fae04ab04dbdea77025236bdd780e0b086424d4d69a02879761dafc",
      "answer_sha256": "004db9cd17266e9daef52c2cfa975d7f86dbaee942ff47fc576eb65fafd7f193",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2483
    },
    {
      "id": "4403700bfc9ae3ac2dfb",
      "record_id": "loan-origination-software|q9|Perplexity|2",
      "criterion_id": "report",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1752,
      "end": 1899,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
        "https://www.mortgageautomator.com/resources/what-is-a-loan-origination-system-los-and-do-you-need-one"
      ],
      "source_state": "attached source",
      "quote_sha256": "d3f6a96b8b2c675daac9b3aeca38fe05fcf431c8901f720fc48c8d6038af5f18",
      "answer_sha256": "004db9cd17266e9daef52c2cfa975d7f86dbaee942ff47fc576eb65fafd7f193",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2483
    },
    {
      "id": "115344370c7c697a533d",
      "record_id": "loan-origination-software|q9|Perplexity|2",
      "criterion_id": "volume_growth",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1900,
      "end": 2100,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://www.backbase.com/blog/loan-origination-software",
        "https://www.biz2x.com/loan-origination-software/5-must-have-features-for-a-loan-origination-system-in-2025/"
      ],
      "source_state": "attached source",
      "quote_sha256": "b8b3a4c716104f1384d195a89202562632ccd77922bc6551c311b0949f682eb0",
      "answer_sha256": "004db9cd17266e9daef52c2cfa975d7f86dbaee942ff47fc576eb65fafd7f193",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2483
    },
    {
      "id": "22d268a47eb30ca8c0ff",
      "record_id": "loan-origination-software|q9|Perplexity|2",
      "criterion_id": "architecture",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1900,
      "end": 2100,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://www.backbase.com/blog/loan-origination-software",
        "https://www.biz2x.com/loan-origination-software/5-must-have-features-for-a-loan-origination-system-in-2025/"
      ],
      "source_state": "attached source",
      "quote_sha256": "b8b3a4c716104f1384d195a89202562632ccd77922bc6551c311b0949f682eb0",
      "answer_sha256": "004db9cd17266e9daef52c2cfa975d7f86dbaee942ff47fc576eb65fafd7f193",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2483
    },
    {
      "id": "bd4f105f906f4d2c5e80",
      "record_id": "loan-origination-software|q9|Perplexity|2",
      "criterion_id": "security_general",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2101,
      "end": 2206,
      "sources": [
        "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/"
      ],
      "source_state": "attached source",
      "quote_sha256": "2820a49a2adddc6698e0ec994f3bf2ec7d556263b4f5cc308b41f430f379cd96",
      "answer_sha256": "004db9cd17266e9daef52c2cfa975d7f86dbaee942ff47fc576eb65fafd7f193",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2483
    },
    {
      "id": "1d1a68dad954282cdf5d",
      "record_id": "loan-origination-software|q9|Perplexity|2",
      "criterion_id": "encrypt",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2101,
      "end": 2206,
      "sources": [
        "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/"
      ],
      "source_state": "attached source",
      "quote_sha256": "2820a49a2adddc6698e0ec994f3bf2ec7d556263b4f5cc308b41f430f379cd96",
      "answer_sha256": "004db9cd17266e9daef52c2cfa975d7f86dbaee942ff47fc576eb65fafd7f193",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2483
    },
    {
      "id": "5a92ce7a59d81ca78358",
      "record_id": "loan-origination-software|q9|Perplexity|2",
      "criterion_id": "permissions",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2101,
      "end": 2206,
      "sources": [
        "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/"
      ],
      "source_state": "attached source",
      "quote_sha256": "2820a49a2adddc6698e0ec994f3bf2ec7d556263b4f5cc308b41f430f379cd96",
      "answer_sha256": "004db9cd17266e9daef52c2cfa975d7f86dbaee942ff47fc576eb65fafd7f193",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2483
    },
    {
      "id": "dad060737c65f6ff9a23",
      "record_id": "loan-origination-software|q9|Perplexity|2",
      "criterion_id": "totalcost",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2207,
      "end": 2364,
      "sources": [
        "https://www.backbase.com/blog/loan-origination-software"
      ],
      "source_state": "attached source",
      "quote_sha256": "81480f2cc066f59294fba2de6887b49da1d50583d871ebc8602e0326b0ad1aae",
      "answer_sha256": "004db9cd17266e9daef52c2cfa975d7f86dbaee942ff47fc576eb65fafd7f193",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2483
    },
    {
      "id": "7ede6a3b872d997ce064",
      "record_id": "loan-origination-software|q9|Perplexity|3",
      "criterion_id": "fit",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 375,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.backbase.com/blog/loan-origination-software",
        "https://www.loanpro.io/platform/origination-suite/"
      ],
      "source_state": "attached source",
      "quote_sha256": "60f7e49cee3edbb19b20737c51acd6cd32f632604fc69604a86d0b60748b6dd0",
      "answer_sha256": "952cb1b161c9420d8424ddbc0d1fa68434f7ec12e1d0634004d5409884572c24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2817
    },
    {
      "id": "a205531bbcce2638fd76",
      "record_id": "loan-origination-software|q9|Perplexity|3",
      "criterion_id": "integration_general",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 375,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.backbase.com/blog/loan-origination-software",
        "https://www.loanpro.io/platform/origination-suite/"
      ],
      "source_state": "attached source",
      "quote_sha256": "60f7e49cee3edbb19b20737c51acd6cd32f632604fc69604a86d0b60748b6dd0",
      "answer_sha256": "952cb1b161c9420d8424ddbc0d1fa68434f7ec12e1d0634004d5409884572c24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2817
    },
    {
      "id": "66cd52c517147e119c7f",
      "record_id": "loan-origination-software|q9|Perplexity|3",
      "criterion_id": "automation",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 375,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.backbase.com/blog/loan-origination-software",
        "https://www.loanpro.io/platform/origination-suite/"
      ],
      "source_state": "attached source",
      "quote_sha256": "60f7e49cee3edbb19b20737c51acd6cd32f632604fc69604a86d0b60748b6dd0",
      "answer_sha256": "952cb1b161c9420d8424ddbc0d1fa68434f7ec12e1d0634004d5409884572c24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2817
    },
    {
      "id": "ba9adc6102c8fb3626c0",
      "record_id": "loan-origination-software|q9|Perplexity|3",
      "criterion_id": "compliance",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 375,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.backbase.com/blog/loan-origination-software",
        "https://www.loanpro.io/platform/origination-suite/"
      ],
      "source_state": "attached source",
      "quote_sha256": "60f7e49cee3edbb19b20737c51acd6cd32f632604fc69604a86d0b60748b6dd0",
      "answer_sha256": "952cb1b161c9420d8424ddbc0d1fa68434f7ec12e1d0634004d5409884572c24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2817
    },
    {
      "id": "1f661bda489a8932f604",
      "record_id": "loan-origination-software|q9|Perplexity|3",
      "criterion_id": "volume_growth",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 375,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.backbase.com/blog/loan-origination-software",
        "https://www.loanpro.io/platform/origination-suite/"
      ],
      "source_state": "attached source",
      "quote_sha256": "60f7e49cee3edbb19b20737c51acd6cd32f632604fc69604a86d0b60748b6dd0",
      "answer_sha256": "952cb1b161c9420d8424ddbc0d1fa68434f7ec12e1d0634004d5409884572c24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2817
    },
    {
      "id": "ae0a77cc5ddc46f87a2c",
      "record_id": "loan-origination-software|q9|Perplexity|3",
      "criterion_id": "ease_general",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 375,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.backbase.com/blog/loan-origination-software",
        "https://www.loanpro.io/platform/origination-suite/"
      ],
      "source_state": "attached source",
      "quote_sha256": "60f7e49cee3edbb19b20737c51acd6cd32f632604fc69604a86d0b60748b6dd0",
      "answer_sha256": "952cb1b161c9420d8424ddbc0d1fa68434f7ec12e1d0634004d5409884572c24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2817
    },
    {
      "id": "e16d9e6623e249183be9",
      "record_id": "loan-origination-software|q9|Perplexity|3",
      "criterion_id": "unified",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 375,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.backbase.com/blog/loan-origination-software",
        "https://www.loanpro.io/platform/origination-suite/"
      ],
      "source_state": "attached source",
      "quote_sha256": "60f7e49cee3edbb19b20737c51acd6cd32f632604fc69604a86d0b60748b6dd0",
      "answer_sha256": "952cb1b161c9420d8424ddbc0d1fa68434f7ec12e1d0634004d5409884572c24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2817
    },
    {
      "id": "1f789e9ab1946f14f360",
      "record_id": "loan-origination-software|q9|Perplexity|3",
      "criterion_id": "intake",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 375,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.backbase.com/blog/loan-origination-software",
        "https://www.loanpro.io/platform/origination-suite/"
      ],
      "source_state": "attached source",
      "quote_sha256": "60f7e49cee3edbb19b20737c51acd6cd32f632604fc69604a86d0b60748b6dd0",
      "answer_sha256": "952cb1b161c9420d8424ddbc0d1fa68434f7ec12e1d0634004d5409884572c24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2817
    },
    {
      "id": "4f9e7e838a7a17567ea9",
      "record_id": "loan-origination-software|q9|Perplexity|3",
      "criterion_id": "underwrite",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 375,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.backbase.com/blog/loan-origination-software",
        "https://www.loanpro.io/platform/origination-suite/"
      ],
      "source_state": "attached source",
      "quote_sha256": "60f7e49cee3edbb19b20737c51acd6cd32f632604fc69604a86d0b60748b6dd0",
      "answer_sha256": "952cb1b161c9420d8424ddbc0d1fa68434f7ec12e1d0634004d5409884572c24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2817
    },
    {
      "id": "76657354c561c515f3b6",
      "record_id": "loan-origination-software|q9|Perplexity|3",
      "criterion_id": "approval_steps",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 375,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.backbase.com/blog/loan-origination-software",
        "https://www.loanpro.io/platform/origination-suite/"
      ],
      "source_state": "attached source",
      "quote_sha256": "60f7e49cee3edbb19b20737c51acd6cd32f632604fc69604a86d0b60748b6dd0",
      "answer_sha256": "952cb1b161c9420d8424ddbc0d1fa68434f7ec12e1d0634004d5409884572c24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2817
    },
    {
      "id": "a2e9b0dedd0f624bf964",
      "record_id": "loan-origination-software|q9|Perplexity|3",
      "criterion_id": "funding_general",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 375,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.backbase.com/blog/loan-origination-software",
        "https://www.loanpro.io/platform/origination-suite/"
      ],
      "source_state": "attached source",
      "quote_sha256": "60f7e49cee3edbb19b20737c51acd6cd32f632604fc69604a86d0b60748b6dd0",
      "answer_sha256": "952cb1b161c9420d8424ddbc0d1fa68434f7ec12e1d0634004d5409884572c24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2817
    },
    {
      "id": "d7dca58cddbe4690febc",
      "record_id": "loan-origination-software|q9|Perplexity|3",
      "criterion_id": "servicing_handoff",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 0,
      "end": 375,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.backbase.com/blog/loan-origination-software",
        "https://www.loanpro.io/platform/origination-suite/"
      ],
      "source_state": "attached source",
      "quote_sha256": "60f7e49cee3edbb19b20737c51acd6cd32f632604fc69604a86d0b60748b6dd0",
      "answer_sha256": "952cb1b161c9420d8424ddbc0d1fa68434f7ec12e1d0634004d5409884572c24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2817
    },
    {
      "id": "b897cface55943a1a008",
      "record_id": "loan-origination-software|q9|Perplexity|3",
      "criterion_id": "fit",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 402,
      "end": 549,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.backbase.com/blog/loan-origination-software"
      ],
      "source_state": "attached source",
      "quote_sha256": "a57e977eaca082cbdfe65da6ff5538f2234e722b113bbab5f2d4646c28b333f8",
      "answer_sha256": "952cb1b161c9420d8424ddbc0d1fa68434f7ec12e1d0634004d5409884572c24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2817
    },
    {
      "id": "2f7e98e9388708fa8b1a",
      "record_id": "loan-origination-software|q9|Perplexity|3",
      "criterion_id": "complex_structures",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 402,
      "end": 549,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.backbase.com/blog/loan-origination-software"
      ],
      "source_state": "attached source",
      "quote_sha256": "a57e977eaca082cbdfe65da6ff5538f2234e722b113bbab5f2d4646c28b333f8",
      "answer_sha256": "952cb1b161c9420d8424ddbc0d1fa68434f7ec12e1d0634004d5409884572c24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2817
    },
    {
      "id": "6e3b6409d188ac85fdac",
      "record_id": "loan-origination-software|q9|Perplexity|3",
      "criterion_id": "loan_pricing",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 402,
      "end": 549,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.backbase.com/blog/loan-origination-software"
      ],
      "source_state": "attached source",
      "quote_sha256": "a57e977eaca082cbdfe65da6ff5538f2234e722b113bbab5f2d4646c28b333f8",
      "answer_sha256": "952cb1b161c9420d8424ddbc0d1fa68434f7ec12e1d0634004d5409884572c24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2817
    },
    {
      "id": "39f563d7b2cb29ca09f9",
      "record_id": "loan-origination-software|q9|Perplexity|3",
      "criterion_id": "workflow_config",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 550,
      "end": 712,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/",
        "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/"
      ],
      "source_state": "attached source",
      "quote_sha256": "947f7d2027f78f8e0e240c1381788f35c5e191373717d1a037813fd1e809068f",
      "answer_sha256": "952cb1b161c9420d8424ddbc0d1fa68434f7ec12e1d0634004d5409884572c24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2817
    },
    {
      "id": "b30fafb48da75b74ead9",
      "record_id": "loan-origination-software|q9|Perplexity|3",
      "criterion_id": "task_routing",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 550,
      "end": 712,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/",
        "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/"
      ],
      "source_state": "attached source",
      "quote_sha256": "947f7d2027f78f8e0e240c1381788f35c5e191373717d1a037813fd1e809068f",
      "answer_sha256": "952cb1b161c9420d8424ddbc0d1fa68434f7ec12e1d0634004d5409884572c24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2817
    },
    {
      "id": "c0e9c7804ca9116ecad2",
      "record_id": "loan-origination-software|q9|Perplexity|3",
      "criterion_id": "approval_steps",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 550,
      "end": 712,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/",
        "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/"
      ],
      "source_state": "attached source",
      "quote_sha256": "947f7d2027f78f8e0e240c1381788f35c5e191373717d1a037813fd1e809068f",
      "answer_sha256": "952cb1b161c9420d8424ddbc0d1fa68434f7ec12e1d0634004d5409884572c24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2817
    },
    {
      "id": "0c0eb69df7f44eef947b",
      "record_id": "loan-origination-software|q9|Perplexity|3",
      "criterion_id": "automation",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 713,
      "end": 901,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/",
        "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
        "https://www.vergentlms.com/servicing-vs-origination-loan-software/"
      ],
      "source_state": "attached source",
      "quote_sha256": "6a77983340a1c906f2bcee98ac80b1c88db141c415e109f0cf3e20a64c546a54",
      "answer_sha256": "952cb1b161c9420d8424ddbc0d1fa68434f7ec12e1d0634004d5409884572c24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2817
    },
    {
      "id": "e49142855450562c1038",
      "record_id": "loan-origination-software|q9|Perplexity|3",
      "criterion_id": "underwrite",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 713,
      "end": 901,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/",
        "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
        "https://www.vergentlms.com/servicing-vs-origination-loan-software/"
      ],
      "source_state": "attached source",
      "quote_sha256": "6a77983340a1c906f2bcee98ac80b1c88db141c415e109f0cf3e20a64c546a54",
      "answer_sha256": "952cb1b161c9420d8424ddbc0d1fa68434f7ec12e1d0634004d5409884572c24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2817
    },
    {
      "id": "58598333eb81ae18180f",
      "record_id": "loan-origination-software|q9|Perplexity|3",
      "criterion_id": "document_screening",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 713,
      "end": 901,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/",
        "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
        "https://www.vergentlms.com/servicing-vs-origination-loan-software/"
      ],
      "source_state": "attached source",
      "quote_sha256": "6a77983340a1c906f2bcee98ac80b1c88db141c415e109f0cf3e20a64c546a54",
      "answer_sha256": "952cb1b161c9420d8424ddbc0d1fa68434f7ec12e1d0634004d5409884572c24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2817
    },
    {
      "id": "36199c77cb026d121ff2",
      "record_id": "loan-origination-software|q9|Perplexity|3",
      "criterion_id": "data_verification",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 713,
      "end": 901,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/",
        "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
        "https://www.vergentlms.com/servicing-vs-origination-loan-software/"
      ],
      "source_state": "attached source",
      "quote_sha256": "6a77983340a1c906f2bcee98ac80b1c88db141c415e109f0cf3e20a64c546a54",
      "answer_sha256": "952cb1b161c9420d8424ddbc0d1fa68434f7ec12e1d0634004d5409884572c24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2817
    },
    {
      "id": "ec2bd385799606ad16ac",
      "record_id": "loan-origination-software|q9|Perplexity|3",
      "criterion_id": "task_routing",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 713,
      "end": 901,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/",
        "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
        "https://www.vergentlms.com/servicing-vs-origination-loan-software/"
      ],
      "source_state": "attached source",
      "quote_sha256": "6a77983340a1c906f2bcee98ac80b1c88db141c415e109f0cf3e20a64c546a54",
      "answer_sha256": "952cb1b161c9420d8424ddbc0d1fa68434f7ec12e1d0634004d5409884572c24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2817
    },
    {
      "id": "ba4cf19b6bced5cce0e3",
      "record_id": "loan-origination-software|q9|Perplexity|3",
      "criterion_id": "integration_general",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 902,
      "end": 1123,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.backbase.com/blog/loan-origination-software",
        "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/"
      ],
      "source_state": "attached source",
      "quote_sha256": "823ac54cb897b02a888eae9b27e4b6df8bc254daa81fca84a692f005c87e19d1",
      "answer_sha256": "952cb1b161c9420d8424ddbc0d1fa68434f7ec12e1d0634004d5409884572c24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2817
    },
    {
      "id": "0d4b3bfd23b889bb6673",
      "record_id": "loan-origination-software|q9|Perplexity|3",
      "criterion_id": "bureau_connections",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 902,
      "end": 1123,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.backbase.com/blog/loan-origination-software",
        "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/"
      ],
      "source_state": "attached source",
      "quote_sha256": "823ac54cb897b02a888eae9b27e4b6df8bc254daa81fca84a692f005c87e19d1",
      "answer_sha256": "952cb1b161c9420d8424ddbc0d1fa68434f7ec12e1d0634004d5409884572c24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2817
    },
    {
      "id": "162f869b968b988db2cd",
      "record_id": "loan-origination-software|q9|Perplexity|3",
      "criterion_id": "verification_connections",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 902,
      "end": 1123,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.backbase.com/blog/loan-origination-software",
        "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/"
      ],
      "source_state": "attached source",
      "quote_sha256": "823ac54cb897b02a888eae9b27e4b6df8bc254daa81fca84a692f005c87e19d1",
      "answer_sha256": "952cb1b161c9420d8424ddbc0d1fa68434f7ec12e1d0634004d5409884572c24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2817
    },
    {
      "id": "c00ecd6c6a7c2fcdc7c5",
      "record_id": "loan-origination-software|q9|Perplexity|3",
      "criterion_id": "core_or_servicing",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 902,
      "end": 1123,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.backbase.com/blog/loan-origination-software",
        "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/"
      ],
      "source_state": "attached source",
      "quote_sha256": "823ac54cb897b02a888eae9b27e4b6df8bc254daa81fca84a692f005c87e19d1",
      "answer_sha256": "952cb1b161c9420d8424ddbc0d1fa68434f7ec12e1d0634004d5409884572c24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2817
    },
    {
      "id": "ea8af386de7ab9a23ea1",
      "record_id": "loan-origination-software|q9|Perplexity|3",
      "criterion_id": "business_connections",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 902,
      "end": 1123,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.backbase.com/blog/loan-origination-software",
        "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/"
      ],
      "source_state": "attached source",
      "quote_sha256": "823ac54cb897b02a888eae9b27e4b6df8bc254daa81fca84a692f005c87e19d1",
      "answer_sha256": "952cb1b161c9420d8424ddbc0d1fa68434f7ec12e1d0634004d5409884572c24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2817
    },
    {
      "id": "4c0c6556476c6fc5bc52",
      "record_id": "loan-origination-software|q9|Perplexity|3",
      "criterion_id": "api_general",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 902,
      "end": 1123,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.backbase.com/blog/loan-origination-software",
        "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/"
      ],
      "source_state": "attached source",
      "quote_sha256": "823ac54cb897b02a888eae9b27e4b6df8bc254daa81fca84a692f005c87e19d1",
      "answer_sha256": "952cb1b161c9420d8424ddbc0d1fa68434f7ec12e1d0634004d5409884572c24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2817
    },
    {
      "id": "1dbe530978035ffd3141",
      "record_id": "loan-origination-software|q9|Perplexity|3",
      "criterion_id": "compliance",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1124,
      "end": 1332,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.backbase.com/blog/loan-origination-software",
        "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
        "https://www.mortgageautomator.com/resources/what-is-a-loan-origination-system-los-and-do-you-need-one",
        "https://www.vergentlms.com/servicing-vs-origination-loan-software/"
      ],
      "source_state": "attached source",
      "quote_sha256": "7080cef44b91eb1ff7b64218992f61abd47dbab403cb78c014ee57786adac7c0",
      "answer_sha256": "952cb1b161c9420d8424ddbc0d1fa68434f7ec12e1d0634004d5409884572c24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2817
    },
    {
      "id": "139317e053830564c2d3",
      "record_id": "loan-origination-software|q9|Perplexity|3",
      "criterion_id": "activity_logs",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1124,
      "end": 1332,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.backbase.com/blog/loan-origination-software",
        "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
        "https://www.mortgageautomator.com/resources/what-is-a-loan-origination-system-los-and-do-you-need-one",
        "https://www.vergentlms.com/servicing-vs-origination-loan-software/"
      ],
      "source_state": "attached source",
      "quote_sha256": "7080cef44b91eb1ff7b64218992f61abd47dbab403cb78c014ee57786adac7c0",
      "answer_sha256": "952cb1b161c9420d8424ddbc0d1fa68434f7ec12e1d0634004d5409884572c24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2817
    },
    {
      "id": "e389ea098cfb278607cf",
      "record_id": "loan-origination-software|q9|Perplexity|3",
      "criterion_id": "disclosures",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1124,
      "end": 1332,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.backbase.com/blog/loan-origination-software",
        "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
        "https://www.mortgageautomator.com/resources/what-is-a-loan-origination-system-los-and-do-you-need-one",
        "https://www.vergentlms.com/servicing-vs-origination-loan-software/"
      ],
      "source_state": "attached source",
      "quote_sha256": "7080cef44b91eb1ff7b64218992f61abd47dbab403cb78c014ee57786adac7c0",
      "answer_sha256": "952cb1b161c9420d8424ddbc0d1fa68434f7ec12e1d0634004d5409884572c24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2817
    },
    {
      "id": "e98ebf6ad8ff138cb8c2",
      "record_id": "loan-origination-software|q9|Perplexity|3",
      "criterion_id": "kyc",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1124,
      "end": 1332,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.backbase.com/blog/loan-origination-software",
        "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
        "https://www.mortgageautomator.com/resources/what-is-a-loan-origination-system-los-and-do-you-need-one",
        "https://www.vergentlms.com/servicing-vs-origination-loan-software/"
      ],
      "source_state": "attached source",
      "quote_sha256": "7080cef44b91eb1ff7b64218992f61abd47dbab403cb78c014ee57786adac7c0",
      "answer_sha256": "952cb1b161c9420d8424ddbc0d1fa68434f7ec12e1d0634004d5409884572c24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2817
    },
    {
      "id": "9e6a64d14a40d7abe285",
      "record_id": "loan-origination-software|q9|Perplexity|3",
      "criterion_id": "document",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1333,
      "end": 1491,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.investglass.com/loan-origination-system-a-complete-guide-for-modern-lenders/",
        "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/",
        "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
        "https://www.mortgageautomator.com/resources/what-is-a-loan-origination-system-los-and-do-you-need-one"
      ],
      "source_state": "attached source",
      "quote_sha256": "734cb4ca67b513fb66f82721110f53d689fa8f0a37b5ba27cb9bf12f835ea1be",
      "answer_sha256": "952cb1b161c9420d8424ddbc0d1fa68434f7ec12e1d0634004d5409884572c24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2817
    },
    {
      "id": "10942d5aca24a9e863fd",
      "record_id": "loan-origination-software|q9|Perplexity|3",
      "criterion_id": "docgeneration",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1333,
      "end": 1491,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.investglass.com/loan-origination-system-a-complete-guide-for-modern-lenders/",
        "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/",
        "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
        "https://www.mortgageautomator.com/resources/what-is-a-loan-origination-system-los-and-do-you-need-one"
      ],
      "source_state": "attached source",
      "quote_sha256": "734cb4ca67b513fb66f82721110f53d689fa8f0a37b5ba27cb9bf12f835ea1be",
      "answer_sha256": "952cb1b161c9420d8424ddbc0d1fa68434f7ec12e1d0634004d5409884572c24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2817
    },
    {
      "id": "ac80d3defab39b402907",
      "record_id": "loan-origination-software|q9|Perplexity|3",
      "criterion_id": "esign",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1333,
      "end": 1491,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.investglass.com/loan-origination-system-a-complete-guide-for-modern-lenders/",
        "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/",
        "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
        "https://www.mortgageautomator.com/resources/what-is-a-loan-origination-system-los-and-do-you-need-one"
      ],
      "source_state": "attached source",
      "quote_sha256": "734cb4ca67b513fb66f82721110f53d689fa8f0a37b5ba27cb9bf12f835ea1be",
      "answer_sha256": "952cb1b161c9420d8424ddbc0d1fa68434f7ec12e1d0634004d5409884572c24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2817
    },
    {
      "id": "d1b93e737896cbf434f3",
      "record_id": "loan-origination-software|q9|Perplexity|3",
      "criterion_id": "underwrite",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1492,
      "end": 1645,
      "sources": [
        "https://bakerhill.com/loan-origination-system-basics",
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
        "https://www.zeitro.com/blog/key-features-of-loan-origination-system-how-it-helps-lenders-and-loan-officers-close-more-loans-efficiently"
      ],
      "source_state": "attached source",
      "quote_sha256": "0a6493be719d01f0508fa0d885c383813871c7715c8be4e94c8d5ac8dda1854c",
      "answer_sha256": "952cb1b161c9420d8424ddbc0d1fa68434f7ec12e1d0634004d5409884572c24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2817
    },
    {
      "id": "9e96a5e4069349f48130",
      "record_id": "loan-origination-software|q9|Perplexity|3",
      "criterion_id": "credit_decisions",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1492,
      "end": 1645,
      "sources": [
        "https://bakerhill.com/loan-origination-system-basics",
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
        "https://www.zeitro.com/blog/key-features-of-loan-origination-system-how-it-helps-lenders-and-loan-officers-close-more-loans-efficiently"
      ],
      "source_state": "attached source",
      "quote_sha256": "0a6493be719d01f0508fa0d885c383813871c7715c8be4e94c8d5ac8dda1854c",
      "answer_sha256": "952cb1b161c9420d8424ddbc0d1fa68434f7ec12e1d0634004d5409884572c24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2817
    },
    {
      "id": "19ac865bbe5442e72a4b",
      "record_id": "loan-origination-software|q9|Perplexity|3",
      "criterion_id": "risk_scoring",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1492,
      "end": 1645,
      "sources": [
        "https://bakerhill.com/loan-origination-system-basics",
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
        "https://www.zeitro.com/blog/key-features-of-loan-origination-system-how-it-helps-lenders-and-loan-officers-close-more-loans-efficiently"
      ],
      "source_state": "attached source",
      "quote_sha256": "0a6493be719d01f0508fa0d885c383813871c7715c8be4e94c8d5ac8dda1854c",
      "answer_sha256": "952cb1b161c9420d8424ddbc0d1fa68434f7ec12e1d0634004d5409884572c24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2817
    },
    {
      "id": "0db32ff8ebf501e9dc48",
      "record_id": "loan-origination-software|q9|Perplexity|3",
      "criterion_id": "loan_pricing",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1492,
      "end": 1645,
      "sources": [
        "https://bakerhill.com/loan-origination-system-basics",
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
        "https://www.zeitro.com/blog/key-features-of-loan-origination-system-how-it-helps-lenders-and-loan-officers-close-more-loans-efficiently"
      ],
      "source_state": "attached source",
      "quote_sha256": "0a6493be719d01f0508fa0d885c383813871c7715c8be4e94c8d5ac8dda1854c",
      "answer_sha256": "952cb1b161c9420d8424ddbc0d1fa68434f7ec12e1d0634004d5409884572c24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2817
    },
    {
      "id": "52760382b6344b3e7826",
      "record_id": "loan-origination-software|q9|Perplexity|3",
      "criterion_id": "report",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1646,
      "end": 1807,
      "sources": [
        "https://bakerhill.com/loan-origination-system-basics",
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://defisolutions.com/defi-insight/10-loan-origination-systems-modules-modern-los-needs/",
        "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
        "https://www.mortgageautomator.com/resources/what-is-a-loan-origination-system-los-and-do-you-need-one"
      ],
      "source_state": "attached source",
      "quote_sha256": "b3dfbaef531c85285ae15f7a23d1d3e975b2a1e75ef19cf53ab43bedd0ed940c",
      "answer_sha256": "952cb1b161c9420d8424ddbc0d1fa68434f7ec12e1d0634004d5409884572c24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2817
    },
    {
      "id": "fc69df920f9cc91d4eab",
      "record_id": "loan-origination-software|q9|Perplexity|3",
      "criterion_id": "borrower_usable",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1808,
      "end": 1995,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/",
        "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
        "https://www.novactech.com/blog/loan-origination-systems-complete-guide"
      ],
      "source_state": "attached source",
      "quote_sha256": "836d235aafce00188b3bc92e36349c5eeeddf2bb6fe4921abb0303ea124e8261",
      "answer_sha256": "952cb1b161c9420d8424ddbc0d1fa68434f7ec12e1d0634004d5409884572c24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2817
    },
    {
      "id": "533877d592d8d09dfefa",
      "record_id": "loan-origination-software|q9|Perplexity|3",
      "criterion_id": "mobile_apply",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1808,
      "end": 1995,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/",
        "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
        "https://www.novactech.com/blog/loan-origination-systems-complete-guide"
      ],
      "source_state": "attached source",
      "quote_sha256": "836d235aafce00188b3bc92e36349c5eeeddf2bb6fe4921abb0303ea124e8261",
      "answer_sha256": "952cb1b161c9420d8424ddbc0d1fa68434f7ec12e1d0634004d5409884572c24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2817
    },
    {
      "id": "4101c144991118c7ce42",
      "record_id": "loan-origination-software|q9|Perplexity|3",
      "criterion_id": "multi_channel",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1808,
      "end": 1995,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/",
        "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/",
        "https://www.novactech.com/blog/loan-origination-systems-complete-guide"
      ],
      "source_state": "attached source",
      "quote_sha256": "836d235aafce00188b3bc92e36349c5eeeddf2bb6fe4921abb0303ea124e8261",
      "answer_sha256": "952cb1b161c9420d8424ddbc0d1fa68434f7ec12e1d0634004d5409884572c24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2817
    },
    {
      "id": "2e764f16ceeeda5c75c0",
      "record_id": "loan-origination-software|q9|Perplexity|3",
      "criterion_id": "security_general",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1996,
      "end": 2104,
      "sources": [
        "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/"
      ],
      "source_state": "attached source",
      "quote_sha256": "514a92e0443ef56276d9c58cec1a89c2a698865d0f2251fbaf543deb52163eba",
      "answer_sha256": "952cb1b161c9420d8424ddbc0d1fa68434f7ec12e1d0634004d5409884572c24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2817
    },
    {
      "id": "c9b948a9f8510b38568f",
      "record_id": "loan-origination-software|q9|Perplexity|3",
      "criterion_id": "encrypt",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1996,
      "end": 2104,
      "sources": [
        "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/"
      ],
      "source_state": "attached source",
      "quote_sha256": "514a92e0443ef56276d9c58cec1a89c2a698865d0f2251fbaf543deb52163eba",
      "answer_sha256": "952cb1b161c9420d8424ddbc0d1fa68434f7ec12e1d0634004d5409884572c24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2817
    },
    {
      "id": "c0f88e942b2a37313afe",
      "record_id": "loan-origination-software|q9|Perplexity|3",
      "criterion_id": "permissions",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1996,
      "end": 2104,
      "sources": [
        "https://www.leadsquared.com/industries/lending/what-is-loan-origination-system/"
      ],
      "source_state": "attached source",
      "quote_sha256": "514a92e0443ef56276d9c58cec1a89c2a698865d0f2251fbaf543deb52163eba",
      "answer_sha256": "952cb1b161c9420d8424ddbc0d1fa68434f7ec12e1d0634004d5409884572c24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2817
    },
    {
      "id": "1c8cd19cc799f8e5d1c1",
      "record_id": "loan-origination-software|q9|Perplexity|3",
      "criterion_id": "scale",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2105,
      "end": 2296,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://www.backbase.com/blog/loan-origination-software",
        "https://www.biz2x.com/loan-origination-software/5-must-have-features-for-a-loan-origination-system-in-2025/"
      ],
      "source_state": "attached source",
      "quote_sha256": "eb473b1a4d5a7f0881018e6e5878c73ce1624d8dfb7b27cd4f984128247d6035",
      "answer_sha256": "952cb1b161c9420d8424ddbc0d1fa68434f7ec12e1d0634004d5409884572c24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2817
    },
    {
      "id": "d3eea4069021b5bf33fe",
      "record_id": "loan-origination-software|q9|Perplexity|3",
      "criterion_id": "architecture",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2105,
      "end": 2296,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://www.backbase.com/blog/loan-origination-software",
        "https://www.biz2x.com/loan-origination-software/5-must-have-features-for-a-loan-origination-system-in-2025/"
      ],
      "source_state": "attached source",
      "quote_sha256": "eb473b1a4d5a7f0881018e6e5878c73ce1624d8dfb7b27cd4f984128247d6035",
      "answer_sha256": "952cb1b161c9420d8424ddbc0d1fa68434f7ec12e1d0634004d5409884572c24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2817
    },
    {
      "id": "33625f37f4ed55424dbf",
      "record_id": "loan-origination-software|q9|Perplexity|3",
      "criterion_id": "implementation_timing",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2297,
      "end": 2465,
      "sources": [
        "https://www.backbase.com/blog/loan-origination-software",
        "https://www.biz2x.com/loan-origination-software/5-must-have-features-for-a-loan-origination-system-in-2025/"
      ],
      "source_state": "attached source",
      "quote_sha256": "c9537cee53a1c7fca19eb0ba20a7dc2d92e0931d7653d1c88d7ca334c8d3efab",
      "answer_sha256": "952cb1b161c9420d8424ddbc0d1fa68434f7ec12e1d0634004d5409884572c24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2817
    },
    {
      "id": "33110cb74e6a801f504e",
      "record_id": "loan-origination-software|q9|Perplexity|3",
      "criterion_id": "train",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2297,
      "end": 2465,
      "sources": [
        "https://www.backbase.com/blog/loan-origination-software",
        "https://www.biz2x.com/loan-origination-software/5-must-have-features-for-a-loan-origination-system-in-2025/"
      ],
      "source_state": "attached source",
      "quote_sha256": "c9537cee53a1c7fca19eb0ba20a7dc2d92e0931d7653d1c88d7ca334c8d3efab",
      "answer_sha256": "952cb1b161c9420d8424ddbc0d1fa68434f7ec12e1d0634004d5409884572c24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2817
    },
    {
      "id": "618fb0a924b753b55e1e",
      "record_id": "loan-origination-software|q9|Perplexity|3",
      "criterion_id": "custom_effort",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2297,
      "end": 2465,
      "sources": [
        "https://www.backbase.com/blog/loan-origination-software",
        "https://www.biz2x.com/loan-origination-software/5-must-have-features-for-a-loan-origination-system-in-2025/"
      ],
      "source_state": "attached source",
      "quote_sha256": "c9537cee53a1c7fca19eb0ba20a7dc2d92e0931d7653d1c88d7ca334c8d3efab",
      "answer_sha256": "952cb1b161c9420d8424ddbc0d1fa68434f7ec12e1d0634004d5409884572c24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2817
    },
    {
      "id": "079db3eea4c87ecc0b35",
      "record_id": "loan-origination-software|q9|Perplexity|3",
      "criterion_id": "support_general",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2297,
      "end": 2465,
      "sources": [
        "https://www.backbase.com/blog/loan-origination-software",
        "https://www.biz2x.com/loan-origination-software/5-must-have-features-for-a-loan-origination-system-in-2025/"
      ],
      "source_state": "attached source",
      "quote_sha256": "c9537cee53a1c7fca19eb0ba20a7dc2d92e0931d7653d1c88d7ca334c8d3efab",
      "answer_sha256": "952cb1b161c9420d8424ddbc0d1fa68434f7ec12e1d0634004d5409884572c24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2817
    },
    {
      "id": "c2b7a5680e92f7169501",
      "record_id": "loan-origination-software|q9|Perplexity|3",
      "criterion_id": "totalcost",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2297,
      "end": 2465,
      "sources": [
        "https://www.backbase.com/blog/loan-origination-software",
        "https://www.biz2x.com/loan-origination-software/5-must-have-features-for-a-loan-origination-system-in-2025/"
      ],
      "source_state": "attached source",
      "quote_sha256": "c9537cee53a1c7fca19eb0ba20a7dc2d92e0931d7653d1c88d7ca334c8d3efab",
      "answer_sha256": "952cb1b161c9420d8424ddbc0d1fa68434f7ec12e1d0634004d5409884572c24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2817
    },
    {
      "id": "c33c15d5a9625f7d0256",
      "record_id": "loan-origination-software|q9|Perplexity|3",
      "criterion_id": "fit",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2467,
      "end": 2702,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://www.backbase.com/blog/loan-origination-software",
        "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/"
      ],
      "source_state": "attached source",
      "quote_sha256": "c92752ef392ede80127b13b68ca84cffe4c8b78c502c3d545444376f37240765",
      "answer_sha256": "952cb1b161c9420d8424ddbc0d1fa68434f7ec12e1d0634004d5409884572c24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2817
    },
    {
      "id": "35fb488cbac777e74380",
      "record_id": "loan-origination-software|q9|Perplexity|3",
      "criterion_id": "integration_general",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2467,
      "end": 2702,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://www.backbase.com/blog/loan-origination-software",
        "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/"
      ],
      "source_state": "attached source",
      "quote_sha256": "c92752ef392ede80127b13b68ca84cffe4c8b78c502c3d545444376f37240765",
      "answer_sha256": "952cb1b161c9420d8424ddbc0d1fa68434f7ec12e1d0634004d5409884572c24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2817
    },
    {
      "id": "8f4a49116ccc30a35455",
      "record_id": "loan-origination-software|q9|Perplexity|3",
      "criterion_id": "workflow_config",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2467,
      "end": 2702,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://www.backbase.com/blog/loan-origination-software",
        "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/"
      ],
      "source_state": "attached source",
      "quote_sha256": "c92752ef392ede80127b13b68ca84cffe4c8b78c502c3d545444376f37240765",
      "answer_sha256": "952cb1b161c9420d8424ddbc0d1fa68434f7ec12e1d0634004d5409884572c24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2817
    },
    {
      "id": "9054523e0f014bb3fe5e",
      "record_id": "loan-origination-software|q9|Perplexity|3",
      "criterion_id": "compliance",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2467,
      "end": 2702,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://www.backbase.com/blog/loan-origination-software",
        "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/"
      ],
      "source_state": "attached source",
      "quote_sha256": "c92752ef392ede80127b13b68ca84cffe4c8b78c502c3d545444376f37240765",
      "answer_sha256": "952cb1b161c9420d8424ddbc0d1fa68434f7ec12e1d0634004d5409884572c24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2817
    },
    {
      "id": "28b01bb60ac78ad5f84e",
      "record_id": "loan-origination-software|q9|Perplexity|3",
      "criterion_id": "nocode",
      "engine": "Perplexity",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2467,
      "end": 2702,
      "sources": [
        "https://credable.in/insights-by-credable/what-is-a-loan-origination-system/",
        "https://www.backbase.com/blog/loan-origination-software",
        "https://www.mortgageadvisortools.com/buyers-guide/loan-origination-system-buyers-guide/"
      ],
      "source_state": "attached source",
      "quote_sha256": "c92752ef392ede80127b13b68ca84cffe4c8b78c502c3d545444376f37240765",
      "answer_sha256": "952cb1b161c9420d8424ddbc0d1fa68434f7ec12e1d0634004d5409884572c24",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "first_vendor_offset": 2817
    }
  ],
  "adjacency": [
    {
      "id": "fb3eed837120fcc13ca5",
      "record_id": "loan-origination-software|q1|Google AI Mode|1",
      "criterion_id": "fit",
      "engine": "Google AI Mode",
      "question_id": "q1",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 345,
      "end": 700,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "6057705b68d228ca78c45e3f971885441962fb5f5662d12c549bba458c74e214",
      "answer_sha256": "960489ace573fc8f48b87b50c06b247660125d05dcdf56e9c6cce202cee0594f",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "nCino\nBest for: Scalable, end-to-end commercial and retail workflow automation built on Salesforce.\nWhy it fits: It is an industry standard for community and regional banks looking to unify commercial, small business, and consumer lending into a single cloud-based platform. It offers robust analytics, portfolio tracking, and strong regulatory reporting.",
      "vendor_as_named": "nCino",
      "vendor_normalized": "nCino",
      "comparison_vendor": "nCino"
    },
    {
      "id": "f2c10598168844c2d25c",
      "record_id": "loan-origination-software|q1|Google AI Mode|1",
      "criterion_id": "fit",
      "engine": "Google AI Mode",
      "question_id": "q1",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 701,
      "end": 1030,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "96eb9b4126fbc6cb35a92baed5f27b818b0e226668c6566896d4c568baad149b",
      "answer_sha256": "960489ace573fc8f48b87b50c06b247660125d05dcdf56e9c6cce202cee0594f",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "MeridianLink\nBest for: Consumer, mortgage, and indirect lending.\nWhy it fits: Highly favored by community banks and credit unions that process high volumes of retail loans. It features fast implementation times relative to heavier enterprise platforms, pre-built credit bureau integrations, and solid automated decisioning tools.",
      "vendor_as_named": "MeridianLink",
      "vendor_normalized": "MeridianLink",
      "comparison_vendor": "MeridianLink"
    },
    {
      "id": "b4973015eb541c3b9ce3",
      "record_id": "loan-origination-software|q1|Google AI Mode|1",
      "criterion_id": "fit",
      "engine": "Google AI Mode",
      "question_id": "q1",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1031,
      "end": 1335,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "626627d28ee8c51d1f3e7f74deff078662741b814e03ac227b138db979d5097a",
      "answer_sha256": "960489ace573fc8f48b87b50c06b247660125d05dcdf56e9c6cce202cee0594f",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Abrigo\nBest for: Community-focused commercial lending and compliance.\nWhy it fits: Purpose-built with smaller-to-midsize financial institutions in mind. Abrigo streamlines the entire commercial lending workflow—from credit analysis and spreading to SBA lending and robust regulatory compliance reporting.",
      "vendor_as_named": "Abrigo",
      "vendor_normalized": "Abrigo",
      "comparison_vendor": "Abrigo"
    },
    {
      "id": "65108638288eb8ce2a1a",
      "record_id": "loan-origination-software|q1|Google AI Mode|1",
      "criterion_id": "fit",
      "engine": "Google AI Mode",
      "question_id": "q1",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1336,
      "end": 1781,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "bee03f0c36d0a90be09784beaaa0f9aac68237cee26acfe13ad21b54f162d073",
      "answer_sha256": "960489ace573fc8f48b87b50c06b247660125d05dcdf56e9c6cce202cee0594f",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Finastra (LaserPro / Mortgagebot / Originate)\nBest for: Deep traditional core integration.\nWhy it fits: Finastra has a massive footprint in the community banking space. If your bank is already tethered to a traditional legacy core, Finastra’s modular suite (like LaserPro for doc prep and Mortgagebot for mortgages) provides familiar, reliable compliance workflows, though it can feel more traditional compared to newer cloud-native competitors.",
      "vendor_as_named": "Finastra",
      "vendor_normalized": "Finastra",
      "comparison_vendor": null
    },
    {
      "id": "523240cb53eb3a2e26c8",
      "record_id": "loan-origination-software|q1|Google AI Mode|1",
      "criterion_id": "fit",
      "engine": "Google AI Mode",
      "question_id": "q1",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1782,
      "end": 2055,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "d64269624dfbccac547d8ba0f9a82e0ecf61a2a24dfb835d5a147d1e0e179976",
      "answer_sha256": "960489ace573fc8f48b87b50c06b247660125d05dcdf56e9c6cce202cee0594f",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Baker Hill\nBest for: Commercial and small business growth analytics.\nWhy it fits: Baker Hill specializes in bank-focused commercial loan origination and risk management, giving community bank lenders advanced data-driven insight into profitability and credit risk tracking.",
      "vendor_as_named": "Baker Hill",
      "vendor_normalized": "Baker Hill",
      "comparison_vendor": "Baker Hill"
    },
    {
      "id": "c6c182146bd9e5299996",
      "record_id": "loan-origination-software|q1|Google AI Mode|1",
      "criterion_id": "core_connections",
      "engine": "Google AI Mode",
      "question_id": "q1",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1336,
      "end": 1781,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "bee03f0c36d0a90be09784beaaa0f9aac68237cee26acfe13ad21b54f162d073",
      "answer_sha256": "960489ace573fc8f48b87b50c06b247660125d05dcdf56e9c6cce202cee0594f",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Finastra (LaserPro / Mortgagebot / Originate)\nBest for: Deep traditional core integration.\nWhy it fits: Finastra has a massive footprint in the community banking space. If your bank is already tethered to a traditional legacy core, Finastra’s modular suite (like LaserPro for doc prep and Mortgagebot for mortgages) provides familiar, reliable compliance workflows, though it can feel more traditional compared to newer cloud-native competitors.",
      "vendor_as_named": "Finastra",
      "vendor_normalized": "Finastra",
      "comparison_vendor": null
    },
    {
      "id": "f3ae891e110c58c3c5ab",
      "record_id": "loan-origination-software|q1|Google AI Mode|2",
      "criterion_id": "fit",
      "engine": "Google AI Mode",
      "question_id": "q1",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 481,
      "end": 985,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "3f81112e6bd62db3cf85d39aabf5ff1e14cd3673eba10f382ecc2f3a558ef738",
      "answer_sha256": "f98a5f9e2070901a2b62eb5868d77b3e658649a43be833629c9e717479d261c4",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Abrigo Lending Platform – Best for community banks focused on commercial, small business, and risk-integrated lending. Abrigo is purpose-built for community financial institutions. It unifies commercial, consumer, agricultural, and construction lending into a single platform. It features robust credit risk analysis, portfolio management, and modern AI-driven agents (like AskAbrigo) designed to automate document collection and ease administrative burdens without losing the relationship-focused touch.",
      "vendor_as_named": "Abrigo",
      "vendor_normalized": "Abrigo",
      "comparison_vendor": "Abrigo"
    },
    {
      "id": "bb0240f2d3f9cfb73bf7",
      "record_id": "loan-origination-software|q1|Google AI Mode|2",
      "criterion_id": "fit",
      "engine": "Google AI Mode",
      "question_id": "q1",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 986,
      "end": 1322,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "0dac9a3e807c53aed449d6cb5c7a77e167648cd3d32e2ff5ccb2d6cad07908a8",
      "answer_sha256": "f98a5f9e2070901a2b62eb5868d77b3e658649a43be833629c9e717479d261c4",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "MeridianLink – Best for consumer, mortgage, and indirect lending efficiency. MeridianLink is a heavyweight in the community bank and credit union space. It excels at high-volume consumer and retail loan automation, boasting fast implementations, deep out-of-the-box vendor and credit bureau integrations, and automated document reviews.",
      "vendor_as_named": "MeridianLink",
      "vendor_normalized": "MeridianLink",
      "comparison_vendor": "MeridianLink"
    },
    {
      "id": "74f13ca06a4134f9e9bd",
      "record_id": "loan-origination-software|q1|Google AI Mode|2",
      "criterion_id": "fit",
      "engine": "Google AI Mode",
      "question_id": "q1",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1323,
      "end": 1773,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "8efe6422c87c6fd143e4f48881d9d73c3401ca48ad8c471c61bbea6113689491",
      "answer_sha256": "f98a5f9e2070901a2b62eb5868d77b3e658649a43be833629c9e717479d261c4",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "nCino – Best for Salesforce-backed, scalable commercial operations. Built natively on the Salesforce platform, nCino is widely adopted by institutions looking to scale rapidly. It streamlines and digitizes the commercial loan lifecycle end-to-end, offering intense data analytics and reporting. While it is a premier enterprise-grade choice, smaller community banks should weigh the implementation scope and cost relative to their transaction volume.",
      "vendor_as_named": "nCino",
      "vendor_normalized": "nCino",
      "comparison_vendor": "nCino"
    },
    {
      "id": "103f6b77c88a6f79b4a4",
      "record_id": "loan-origination-software|q1|Google AI Mode|2",
      "criterion_id": "fit",
      "engine": "Google AI Mode",
      "question_id": "q1",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1774,
      "end": 2173,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "72d044fb9b5ad880e863f71a1fae8b28fccd031a2574656621a36ed663000a5c",
      "answer_sha256": "f98a5f9e2070901a2b62eb5868d77b3e658649a43be833629c9e717479d261c4",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Finastra (Fusion Total Lending / Mortgagebot) – Best for banks looking for deep core-integrated suites. Finastra provides broad, cloud-based LOS architectures that plug smoothly into legacy and modern core banking infrastructure. It is a strong contender if you want an ecosystem that handles retail, business, and mortgage lines under a single vendor umbrella tied directly to your core processing.",
      "vendor_as_named": "Finastra",
      "vendor_normalized": "Finastra",
      "comparison_vendor": null
    },
    {
      "id": "46213a53a96ac3573e97",
      "record_id": "loan-origination-software|q1|Google AI Mode|2",
      "criterion_id": "automation",
      "engine": "Google AI Mode",
      "question_id": "q1",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 481,
      "end": 985,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "3f81112e6bd62db3cf85d39aabf5ff1e14cd3673eba10f382ecc2f3a558ef738",
      "answer_sha256": "f98a5f9e2070901a2b62eb5868d77b3e658649a43be833629c9e717479d261c4",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Abrigo Lending Platform – Best for community banks focused on commercial, small business, and risk-integrated lending. Abrigo is purpose-built for community financial institutions. It unifies commercial, consumer, agricultural, and construction lending into a single platform. It features robust credit risk analysis, portfolio management, and modern AI-driven agents (like AskAbrigo) designed to automate document collection and ease administrative burdens without losing the relationship-focused touch.",
      "vendor_as_named": "Abrigo",
      "vendor_normalized": "Abrigo",
      "comparison_vendor": "Abrigo"
    },
    {
      "id": "bb13d36811e5a3ec6660",
      "record_id": "loan-origination-software|q1|Google AI Mode|2",
      "criterion_id": "relationship_lending",
      "engine": "Google AI Mode",
      "question_id": "q1",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 481,
      "end": 985,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "3f81112e6bd62db3cf85d39aabf5ff1e14cd3673eba10f382ecc2f3a558ef738",
      "answer_sha256": "f98a5f9e2070901a2b62eb5868d77b3e658649a43be833629c9e717479d261c4",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Abrigo Lending Platform – Best for community banks focused on commercial, small business, and risk-integrated lending. Abrigo is purpose-built for community financial institutions. It unifies commercial, consumer, agricultural, and construction lending into a single platform. It features robust credit risk analysis, portfolio management, and modern AI-driven agents (like AskAbrigo) designed to automate document collection and ease administrative burdens without losing the relationship-focused touch.",
      "vendor_as_named": "Abrigo",
      "vendor_normalized": "Abrigo",
      "comparison_vendor": "Abrigo"
    },
    {
      "id": "29d235e34f648a533f72",
      "record_id": "loan-origination-software|q1|Google AI Mode|2",
      "criterion_id": "automation",
      "engine": "Google AI Mode",
      "question_id": "q1",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 986,
      "end": 1322,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "0dac9a3e807c53aed449d6cb5c7a77e167648cd3d32e2ff5ccb2d6cad07908a8",
      "answer_sha256": "f98a5f9e2070901a2b62eb5868d77b3e658649a43be833629c9e717479d261c4",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "MeridianLink – Best for consumer, mortgage, and indirect lending efficiency. MeridianLink is a heavyweight in the community bank and credit union space. It excels at high-volume consumer and retail loan automation, boasting fast implementations, deep out-of-the-box vendor and credit bureau integrations, and automated document reviews.",
      "vendor_as_named": "MeridianLink",
      "vendor_normalized": "MeridianLink",
      "comparison_vendor": "MeridianLink"
    },
    {
      "id": "a5243300e3293ad623d7",
      "record_id": "loan-origination-software|q1|Google AI Overviews|1",
      "criterion_id": "fit",
      "engine": "Google AI Overviews",
      "question_id": "q1",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 358,
      "end": 586,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "b109a2b57128a7fc03bb529a727497ee41e0dc8371300479a7816cfe0d94b564",
      "answer_sha256": "1977c37bce769ef7c5fb85e3d527d83f94a5bb3b1eb6b51cfe7c7b491e6cc15d",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "📌 Abrigo\n✅ Best for: Commercial lending, credit risk, and regulatory reporting depth.\n💡 Why it works: Approaches workflows from a risk-management framework, aligning smoothly with community bank compliance like CECL and BSA/AML.",
      "vendor_as_named": "Abrigo",
      "vendor_normalized": "Abrigo",
      "comparison_vendor": "Abrigo"
    },
    {
      "id": "a6a047da0b2aafbe5b7b",
      "record_id": "loan-origination-software|q1|Google AI Overviews|1",
      "criterion_id": "risk_retail_or_crm",
      "engine": "Google AI Overviews",
      "question_id": "q1",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 358,
      "end": 586,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "b109a2b57128a7fc03bb529a727497ee41e0dc8371300479a7816cfe0d94b564",
      "answer_sha256": "1977c37bce769ef7c5fb85e3d527d83f94a5bb3b1eb6b51cfe7c7b491e6cc15d",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "📌 Abrigo\n✅ Best for: Commercial lending, credit risk, and regulatory reporting depth.\n💡 Why it works: Approaches workflows from a risk-management framework, aligning smoothly with community bank compliance like CECL and BSA/AML.",
      "vendor_as_named": "Abrigo",
      "vendor_normalized": "Abrigo",
      "comparison_vendor": "Abrigo"
    },
    {
      "id": "bdcff58efc6aee39a29e",
      "record_id": "loan-origination-software|q1|Google AI Overviews|1",
      "criterion_id": "fit",
      "engine": "Google AI Overviews",
      "question_id": "q1",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 723,
      "end": 954,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "b20afa29a92d55173b7dc352fe3fa8eefd8c2dd2af4486eb61d31036227fafe9",
      "answer_sha256": "1977c37bce769ef7c5fb85e3d527d83f94a5bb3b1eb6b51cfe7c7b491e6cc15d",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "📌 MeridianLink\n✅ Best for: Multi-product consumer, mortgage, and indirect lending.\n💡 Why it works: Deeply tailored to the operational realities of community institutions with extensive pre-built core and credit bureau integrations.",
      "vendor_as_named": "MeridianLink",
      "vendor_normalized": "MeridianLink",
      "comparison_vendor": "MeridianLink"
    },
    {
      "id": "39fcab51c40259f9527e",
      "record_id": "loan-origination-software|q1|Google AI Overviews|1",
      "criterion_id": "risk_retail_or_crm",
      "engine": "Google AI Overviews",
      "question_id": "q1",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 723,
      "end": 954,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "b20afa29a92d55173b7dc352fe3fa8eefd8c2dd2af4486eb61d31036227fafe9",
      "answer_sha256": "1977c37bce769ef7c5fb85e3d527d83f94a5bb3b1eb6b51cfe7c7b491e6cc15d",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "📌 MeridianLink\n✅ Best for: Multi-product consumer, mortgage, and indirect lending.\n💡 Why it works: Deeply tailored to the operational realities of community institutions with extensive pre-built core and credit bureau integrations.",
      "vendor_as_named": "MeridianLink",
      "vendor_normalized": "MeridianLink",
      "comparison_vendor": "MeridianLink"
    },
    {
      "id": "ef0b852e5482f4d3744d",
      "record_id": "loan-origination-software|q1|Google AI Overviews|1",
      "criterion_id": "fit",
      "engine": "Google AI Overviews",
      "question_id": "q1",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1060,
      "end": 1285,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "af6610cb14fe5c0ce03d5c991cd2f1f90cca9b2b69ca8ce9860301c7825dc3c5",
      "answer_sha256": "1977c37bce769ef7c5fb85e3d527d83f94a5bb3b1eb6b51cfe7c7b491e6cc15d",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "📌 nCino\n✅ Best for: Salesforce-native bank operations and scalable workflow automation.\n💡 Why it works: Unifies the customer lifecycle in a single cloud platform with robust enterprise reporting and modern AI agent additions.",
      "vendor_as_named": "nCino",
      "vendor_normalized": "nCino",
      "comparison_vendor": "nCino"
    },
    {
      "id": "61008e5b5bbd89e87e46",
      "record_id": "loan-origination-software|q1|Google AI Overviews|1",
      "criterion_id": "risk_retail_or_crm",
      "engine": "Google AI Overviews",
      "question_id": "q1",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1060,
      "end": 1285,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "af6610cb14fe5c0ce03d5c991cd2f1f90cca9b2b69ca8ce9860301c7825dc3c5",
      "answer_sha256": "1977c37bce769ef7c5fb85e3d527d83f94a5bb3b1eb6b51cfe7c7b491e6cc15d",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "📌 nCino\n✅ Best for: Salesforce-native bank operations and scalable workflow automation.\n💡 Why it works: Unifies the customer lifecycle in a single cloud platform with robust enterprise reporting and modern AI agent additions.",
      "vendor_as_named": "nCino",
      "vendor_normalized": "nCino",
      "comparison_vendor": "nCino"
    },
    {
      "id": "5c8efb76f4630e36df45",
      "record_id": "loan-origination-software|q1|Google AI Overviews|1",
      "criterion_id": "fit",
      "engine": "Google AI Overviews",
      "question_id": "q1",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1398,
      "end": 1640,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "32344ff17ac4a013508ec2d92dd3d355e632baa48dd79d771f2e1c95035b1d3a",
      "answer_sha256": "1977c37bce769ef7c5fb85e3d527d83f94a5bb3b1eb6b51cfe7c7b491e6cc15d",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "📌 Finastra (Originate / LaserPro)\n✅ Best for: Established institutions needing deep core-banking connectivity and document generation.\n💡 Why it works: Offers robust omnichannel retail and commercial suites with time-tested compliance mapping.",
      "vendor_as_named": "Finastra",
      "vendor_normalized": "Finastra",
      "comparison_vendor": null
    },
    {
      "id": "18658fc33e1e8c9bc8bc",
      "record_id": "loan-origination-software|q1|Google AI Overviews|2",
      "criterion_id": "fit",
      "engine": "Google AI Overviews",
      "question_id": "q1",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 563,
      "end": 733,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "da78cdce30ea00abba6c4894500435759e695ea08c64f8c4bafad26e01ea8df4",
      "answer_sha256": "1d66ebfc0630d354bb23ebc3dd6240e22a38fafb2c0b0b3537ea43d1162962f9",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "MeridianLink | Multi-product retail & consumer | Unified consumer, mortgage, and business stack; robust API network . | Less specialized for deep commercial credit memos.",
      "vendor_as_named": "MeridianLink",
      "vendor_normalized": "MeridianLink",
      "comparison_vendor": "MeridianLink"
    },
    {
      "id": "5ebeab86851305e50f54",
      "record_id": "loan-origination-software|q1|Google AI Overviews|2",
      "criterion_id": "fit",
      "engine": "Google AI Overviews",
      "question_id": "q1",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 734,
      "end": 897,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "3980b04656015fb0c70db4bf0b0ac15720dd95633a2890dda0fd937d7c4fb222",
      "answer_sha256": "1d66ebfc0630d354bb23ebc3dd6240e22a38fafb2c0b0b3537ea43d1162962f9",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Abrigo | Commercial & construction lending | Streamlined credit analysis ; robust risk/governance integration. | Heavier focus on commercial workflows over retail.",
      "vendor_as_named": "Abrigo",
      "vendor_normalized": "Abrigo",
      "comparison_vendor": "Abrigo"
    },
    {
      "id": "25f1a92f5aba6c0317cb",
      "record_id": "loan-origination-software|q1|Google AI Overviews|2",
      "criterion_id": "fit",
      "engine": "Google AI Overviews",
      "question_id": "q1",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 898,
      "end": 1068,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "afc203e3745fed5a9bebcaba206033ecb0ce9de72350dd6809b4f97c802e45bb",
      "answer_sha256": "1d66ebfc0630d354bb23ebc3dd6240e22a38fafb2c0b0b3537ea43d1162962f9",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "nCino | Salesforce-reliant institutions | Native CRM visibility ; strong commercial and small business tools. | High cost and configuration complexity tied to Salesforce.",
      "vendor_as_named": "nCino",
      "vendor_normalized": "nCino",
      "comparison_vendor": "nCino"
    },
    {
      "id": "7d130e84eaa39b1e9f45",
      "record_id": "loan-origination-software|q1|Google AI Overviews|3",
      "criterion_id": "fit",
      "engine": "Google AI Overviews",
      "question_id": "q1",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1729,
      "end": 1827,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "9031abf0df3ee295f95c617dc1d639f542864563aba306b0eff5d3fe5c6374ab",
      "answer_sha256": "ee72a86a9b56e7cadf19602ebd4e5df07528e4a557806c2448e16027ca35261d",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "MeridianLink | Consumer & Mortgage | Cloud / Integrated | Moderate | High-volume retail & indirect",
      "vendor_as_named": "MeridianLink",
      "vendor_normalized": "MeridianLink",
      "comparison_vendor": "MeridianLink"
    },
    {
      "id": "dfb7b28cf1f185825cd8",
      "record_id": "loan-origination-software|q1|Google AI Overviews|3",
      "criterion_id": "fit",
      "engine": "Google AI Overviews",
      "question_id": "q1",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1828,
      "end": 1916,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "d0662fc1f21bcc150d50916a0ea5ead612e74f047704b40b190e8c6a41fb84a8",
      "answer_sha256": "ee72a86a9b56e7cadf19602ebd4e5df07528e4a557806c2448e16027ca35261d",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "nCino | Commercial & SMB | Salesforce-native | Extended | Relationship-driven commercial",
      "vendor_as_named": "nCino",
      "vendor_normalized": "nCino",
      "comparison_vendor": "nCino"
    },
    {
      "id": "d84ff9cd3b53ac363e50",
      "record_id": "loan-origination-software|q1|Google AI Overviews|3",
      "criterion_id": "fit",
      "engine": "Google AI Overviews",
      "question_id": "q1",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1917,
      "end": 2006,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "ec86215689e5caa8e567b73fc4bf64ab978763b7f067009e3d5d83d1329ce3a5",
      "answer_sha256": "ee72a86a9b56e7cadf19602ebd4e5df07528e4a557806c2448e16027ca35261d",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Abrigo | Commercial Risk | Cloud / Modular | Moderate | Credit-heavy community portfolios",
      "vendor_as_named": "Abrigo",
      "vendor_normalized": "Abrigo",
      "comparison_vendor": "Abrigo"
    },
    {
      "id": "32ea175a4d8401b50342",
      "record_id": "loan-origination-software|q1|Google AI Overviews|3",
      "criterion_id": "fit",
      "engine": "Google AI Overviews",
      "question_id": "q1",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2007,
      "end": 2083,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "c456a6492b1d5b95362ae1d4eacb0fc2eca876e87a9ef5b4cfb87d522c6397e2",
      "answer_sha256": "ee72a86a9b56e7cadf19602ebd4e5df07528e4a557806c2448e16027ca35261d",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "LoanPro | End-to-End | API-first | Technical | Tech-forward scalable lenders",
      "vendor_as_named": "LoanPro",
      "vendor_normalized": "LoanPro",
      "comparison_vendor": null
    },
    {
      "id": "c4817e72550370f5efc7",
      "record_id": "loan-origination-software|q1|Google AI Overviews|3",
      "criterion_id": "loan_types",
      "engine": "Google AI Overviews",
      "question_id": "q1",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1729,
      "end": 1827,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "9031abf0df3ee295f95c617dc1d639f542864563aba306b0eff5d3fe5c6374ab",
      "answer_sha256": "ee72a86a9b56e7cadf19602ebd4e5df07528e4a557806c2448e16027ca35261d",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "MeridianLink | Consumer & Mortgage | Cloud / Integrated | Moderate | High-volume retail & indirect",
      "vendor_as_named": "MeridianLink",
      "vendor_normalized": "MeridianLink",
      "comparison_vendor": "MeridianLink"
    },
    {
      "id": "c19341af3508faff83dc",
      "record_id": "loan-origination-software|q1|Perplexity|1",
      "criterion_id": "fit",
      "engine": "Perplexity",
      "question_id": "q1",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 404,
      "end": 604,
      "sources": [
        "https://blog.digitalheroesco.com/best/best-loan-origination-software/",
        "https://thelosdirectory.com/segments/community-banks"
      ],
      "source_state": "attached source",
      "quote_sha256": "e074f3497c1be8c881f288599b54fa8f1f03de58ae2335e365854ddb10854514",
      "answer_sha256": "224eeb5294f550f236820fede56569c1877fda8dd22b67ca4feb36b82101eac3",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "vendor_as_named": "Baker Hill",
      "vendor_normalized": "Baker Hill",
      "comparison_vendor": "Baker Hill"
    },
    {
      "id": "ed032ca91819c6ad694d",
      "record_id": "loan-origination-software|q1|Perplexity|1",
      "criterion_id": "fit",
      "engine": "Perplexity",
      "question_id": "q1",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 605,
      "end": 747,
      "sources": [
        "https://jinba.io/blog/best-automated-loan-systems",
        "https://thelosdirectory.com/best/commercial-lending"
      ],
      "source_state": "attached source",
      "quote_sha256": "479b5b8faaa0e35498f4f2017fea41c832b00a5d3e0a9edaa48067c11d26c024",
      "answer_sha256": "224eeb5294f550f236820fede56569c1877fda8dd22b67ca4feb36b82101eac3",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "vendor_as_named": "Abrigo",
      "vendor_normalized": "Abrigo",
      "comparison_vendor": "Abrigo"
    },
    {
      "id": "34f7224e3311e140dbf9",
      "record_id": "loan-origination-software|q1|Perplexity|1",
      "criterion_id": "fit",
      "engine": "Perplexity",
      "question_id": "q1",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 748,
      "end": 897,
      "sources": [
        "https://hesfintech.com/blog/best-loan-origination-systems/",
        "https://www.backbase.com/blog/loan-origination-software",
        "https://www.loanpro.io/blog/best-loan-origination-software/"
      ],
      "source_state": "attached source",
      "quote_sha256": "44e2e67feb5f67414a1e1c23d1faf8db4bbf37e31f6bc127efa7c3442e529c38",
      "answer_sha256": "224eeb5294f550f236820fede56569c1877fda8dd22b67ca4feb36b82101eac3",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "vendor_as_named": "MeridianLink",
      "vendor_normalized": "MeridianLink",
      "comparison_vendor": "MeridianLink"
    },
    {
      "id": "34a5d3d48238906e3f11",
      "record_id": "loan-origination-software|q1|Perplexity|1",
      "criterion_id": "fit",
      "engine": "Perplexity",
      "question_id": "q1",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 898,
      "end": 1039,
      "sources": [
        "https://thelosdirectory.com/best/commercial-lending",
        "https://thelosdirectory.com/best/loan-origination-software",
        "https://thelosdirectory.com/segments/community-banks"
      ],
      "source_state": "attached source",
      "quote_sha256": "e2bd968477433053e9168db05e01609fb07fa5947253a7f74d7a6efece70747e",
      "answer_sha256": "224eeb5294f550f236820fede56569c1877fda8dd22b67ca4feb36b82101eac3",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "vendor_as_named": "nCino",
      "vendor_normalized": "nCino",
      "comparison_vendor": "nCino"
    },
    {
      "id": "424f6775b11e27e11eb1",
      "record_id": "loan-origination-software|q1|Perplexity|1",
      "criterion_id": "fit",
      "engine": "Perplexity",
      "question_id": "q1",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1307,
      "end": 1561,
      "sources": [
        "https://aloan.ai/guides/best-loan-origination-software",
        "https://thelosdirectory.com/segments/community-banks",
        "https://www.uptiq.ai/feeds/best-commercial-lending-software-community-banks"
      ],
      "source_state": "attached source",
      "quote_sha256": "fc74d0fbb40030144a1b9e86bd0fd242018bfad6f0b3cfbe03ccea75bc311bd0",
      "answer_sha256": "224eeb5294f550f236820fede56569c1877fda8dd22b67ca4feb36b82101eac3",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "vendor_as_named": "Aloan",
      "vendor_normalized": "Aloan",
      "comparison_vendor": null
    },
    {
      "id": "916ab9112617c638f0cb",
      "record_id": "loan-origination-software|q1|Perplexity|2",
      "criterion_id": "fit",
      "engine": "Perplexity",
      "question_id": "q1",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 476,
      "end": 681,
      "sources": [
        "https://blog.digitalheroesco.com/best/best-loan-origination-software/",
        "https://thelosdirectory.com/"
      ],
      "source_state": "attached source",
      "quote_sha256": "c1c73a5cf21cc36192132684b73f01b4c7617447bd23121db118098c68474c61",
      "answer_sha256": "446d97a52de007f39ec4d04bca209680edea40bcc28ee06fa168db37dc7df95b",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "vendor_as_named": "Baker Hill NextGen",
      "vendor_normalized": "Baker Hill",
      "comparison_vendor": "Baker Hill"
    },
    {
      "id": "80a99c9bdf5cec9181d9",
      "record_id": "loan-origination-software|q1|Perplexity|2",
      "criterion_id": "fit",
      "engine": "Perplexity",
      "question_id": "q1",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 682,
      "end": 863,
      "sources": [
        "https://thelosdirectory.com/best/commercial-lending",
        "https://thelosdirectory.com/best/loan-origination-software"
      ],
      "source_state": "attached source",
      "quote_sha256": "2ca9add8a6b96be2f010b74fa74aae324910e637766efa022b2c444b8c493e86",
      "answer_sha256": "446d97a52de007f39ec4d04bca209680edea40bcc28ee06fa168db37dc7df95b",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "vendor_as_named": "nCino",
      "vendor_normalized": "nCino",
      "comparison_vendor": "nCino"
    },
    {
      "id": "d2b8fdca5081db35d8ee",
      "record_id": "loan-origination-software|q1|Perplexity|2",
      "criterion_id": "fit",
      "engine": "Perplexity",
      "question_id": "q1",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 864,
      "end": 1047,
      "sources": [
        "https://jinba.io/blog/best-automated-loan-systems",
        "https://thelosdirectory.com/best/commercial-lending",
        "https://thelosdirectory.com/best/loan-origination-software"
      ],
      "source_state": "attached source",
      "quote_sha256": "a96466830d0d8ed53a7cfbf8d2ba16c46ec64e73144c5c15725d924b6ba62ba0",
      "answer_sha256": "446d97a52de007f39ec4d04bca209680edea40bcc28ee06fa168db37dc7df95b",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "vendor_as_named": "Abrigo",
      "vendor_normalized": "Abrigo",
      "comparison_vendor": "Abrigo"
    },
    {
      "id": "b42691e22d793701de38",
      "record_id": "loan-origination-software|q1|Perplexity|2",
      "criterion_id": "fit",
      "engine": "Perplexity",
      "question_id": "q1",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1048,
      "end": 1181,
      "sources": [
        "https://www.multimodal.dev/post/best-loan-origination-software"
      ],
      "source_state": "attached source",
      "quote_sha256": "c86a585f7735c1e1bdfa107656421ef8641a716cfe3a619322ebeeea6eca3fd8",
      "answer_sha256": "446d97a52de007f39ec4d04bca209680edea40bcc28ee06fa168db37dc7df95b",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "vendor_as_named": "Jack Henry LoanVantage",
      "vendor_normalized": "Jack Henry",
      "comparison_vendor": null
    },
    {
      "id": "b61dd55f87d1844bdba4",
      "record_id": "loan-origination-software|q1|Perplexity|2",
      "criterion_id": "fit",
      "engine": "Perplexity",
      "question_id": "q1",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1182,
      "end": 1426,
      "sources": [
        "https://aloan.ai/guides/best-commercial-lending-software",
        "https://aloan.ai/guides/best-loan-origination-software",
        "https://thelosdirectory.com/segments/community-banks",
        "https://www.uptiq.ai/feeds/best-commercial-lending-software-community-banks"
      ],
      "source_state": "attached source",
      "quote_sha256": "d4e87b6efbbde7c6e6d695b46580256ade52064db68efaddc2a249dfdfc234ae",
      "answer_sha256": "446d97a52de007f39ec4d04bca209680edea40bcc28ee06fa168db37dc7df95b",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "vendor_as_named": "Aloan",
      "vendor_normalized": "Aloan",
      "comparison_vendor": null
    },
    {
      "id": "06d357e200d386b33bb8",
      "record_id": "loan-origination-software|q1|Perplexity|3",
      "criterion_id": "fit",
      "engine": "Perplexity",
      "question_id": "q1",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 623,
      "end": 727,
      "sources": [
        "https://blog.digitalheroesco.com/best/best-loan-origination-software/",
        "https://thelosdirectory.com/",
        "https://thelosdirectory.com/segments/community-banks"
      ],
      "source_state": "attached source",
      "quote_sha256": "d1b86c77a357e05bdd8f0a000617e4b74866098292e63aa08f2814afdc69e494",
      "answer_sha256": "2395cee7e52992a3710cf5faa61f37c67e67be98eeb330a3fa83dfd2d68b65c7",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "vendor_as_named": "Baker Hill",
      "vendor_normalized": "Baker Hill",
      "comparison_vendor": "Baker Hill"
    },
    {
      "id": "f3c39cfc7c7d24ab3ab6",
      "record_id": "loan-origination-software|q1|Perplexity|3",
      "criterion_id": "fit",
      "engine": "Perplexity",
      "question_id": "q1",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 728,
      "end": 804,
      "sources": [
        "https://jinba.io/blog/best-automated-loan-systems",
        "https://thelosdirectory.com/best/commercial-lending",
        "https://thelosdirectory.com/best/loan-origination-software"
      ],
      "source_state": "attached source",
      "quote_sha256": "e0698ca772fe61e0c127857bfebab2c57e754b2f900edb85a27c6d490875787e",
      "answer_sha256": "2395cee7e52992a3710cf5faa61f37c67e67be98eeb330a3fa83dfd2d68b65c7",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "vendor_as_named": "Abrigo",
      "vendor_normalized": "Abrigo",
      "comparison_vendor": "Abrigo"
    },
    {
      "id": "f0ceddc11b8405572a2a",
      "record_id": "loan-origination-software|q1|Perplexity|3",
      "criterion_id": "fit",
      "engine": "Perplexity",
      "question_id": "q1",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 805,
      "end": 931,
      "sources": [
        "https://hesfintech.com/blog/best-loan-origination-systems/",
        "https://thelosdirectory.com/best/loan-origination-software",
        "https://www.backbase.com/blog/loan-origination-software",
        "https://www.loanpro.io/blog/best-loan-origination-software/"
      ],
      "source_state": "attached source",
      "quote_sha256": "da3782a7b7e0260b86da50434741ae77e472e93da64e2bc68291b92d7e28f21b",
      "answer_sha256": "2395cee7e52992a3710cf5faa61f37c67e67be98eeb330a3fa83dfd2d68b65c7",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "vendor_as_named": "MeridianLink",
      "vendor_normalized": "MeridianLink",
      "comparison_vendor": "MeridianLink"
    },
    {
      "id": "d5b025e1a21a596df89d",
      "record_id": "loan-origination-software|q1|Perplexity|3",
      "criterion_id": "fit",
      "engine": "Perplexity",
      "question_id": "q1",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 932,
      "end": 1011,
      "sources": [
        "https://thelosdirectory.com/best/commercial-lending",
        "https://thelosdirectory.com/segments/community-banks",
        "https://www.uptiq.ai/feeds/best-commercial-loan-origination-software-banks"
      ],
      "source_state": "attached source",
      "quote_sha256": "0d6dd5f421b10b87b726f6551c9843c86692e67a2fd3eb2c4656353e80ec0f3d",
      "answer_sha256": "2395cee7e52992a3710cf5faa61f37c67e67be98eeb330a3fa83dfd2d68b65c7",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "vendor_as_named": "nCino",
      "vendor_normalized": "nCino",
      "comparison_vendor": "nCino"
    },
    {
      "id": "4f36c0c5ee068ca8e5b6",
      "record_id": "loan-origination-software|q1|Perplexity|3",
      "criterion_id": "fit",
      "engine": "Perplexity",
      "question_id": "q1",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1012,
      "end": 1104,
      "sources": [
        "https://aloan.ai/guides/best-loan-origination-software",
        "https://thelosdirectory.com/segments/community-banks",
        "https://www.uptiq.ai/feeds/best-commercial-lending-software-community-banks"
      ],
      "source_state": "attached source",
      "quote_sha256": "b01ee8dc295a0167bc221c7205bf466d9b2fc746769f7aa65c51ac197130c4fe",
      "answer_sha256": "2395cee7e52992a3710cf5faa61f37c67e67be98eeb330a3fa83dfd2d68b65c7",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "vendor_as_named": "Aloan",
      "vendor_normalized": "Aloan",
      "comparison_vendor": null
    },
    {
      "id": "fad4bfca2d9d4c9d92f5",
      "record_id": "loan-origination-software|q2|Google AI Mode|1",
      "criterion_id": "fit",
      "engine": "Google AI Mode",
      "question_id": "q2",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 359,
      "end": 811,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "4df34a2ab23c08f64d1d660cf9ca0465b0208efec5a8230981e912cebf614494",
      "answer_sha256": "789051db70649e165b5714c73f944f9d34ffc958528aa0ff8f5c9de36121d83f",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "MeridianLink (MeridianLink Consumer & Mortgage) — Best for Market Share and Scale\nWhy it stands out: MeridianLink is an industry titan, serving a massive share of the top credit unions in the U.S. It provides a robust, highly stable SaaS-based multi-channel platform for consumer lending, mortgage, and account opening.\nBest for: Mid-to-large credit unions looking for a heavily proven, highly integrated ecosystem with hundreds of third-party vendors.",
      "vendor_as_named": "MeridianLink",
      "vendor_normalized": "MeridianLink",
      "comparison_vendor": "MeridianLink"
    },
    {
      "id": "dc157bd141fdc55621f9",
      "record_id": "loan-origination-software|q2|Google AI Mode|1",
      "criterion_id": "fit",
      "engine": "Google AI Mode",
      "question_id": "q2",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 812,
      "end": 1289,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "0154585bf23e4ff13dec485a1262729bc42841e4b45dda5752bf3f88eb46c821",
      "answer_sha256": "789051db70649e165b5714c73f944f9d34ffc958528aa0ff8f5c9de36121d83f",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "MANTL (MANTL Loan Origination) — Best for Digital Account Opening and Speed\nWhy it stands out: MANTL specializes in streamlining the front-end digital experience, famously helping credit unions drastically reduce application and onboarding times (e.g., cutting consumer loan/account opening processes from days down to minutes) while automating membership enrollment simultaneously.\nBest for: Credit unions prioritizing a top-tier, frictionless digital-first member experience.",
      "vendor_as_named": "MANTL",
      "vendor_normalized": "MANTL",
      "comparison_vendor": null
    },
    {
      "id": "bc9042691e8d33979042",
      "record_id": "loan-origination-software|q2|Google AI Mode|1",
      "criterion_id": "fit",
      "engine": "Google AI Mode",
      "question_id": "q2",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1290,
      "end": 1766,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "114f4fcc0a8171c6550e085e9ead552f247164794e75d67056532eafe67f9e90",
      "answer_sha256": "789051db70649e165b5714c73f944f9d34ffc958528aa0ff8f5c9de36121d83f",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Fuse (Fuse Finance) — Best AI-Native / Modern Tech Stack\nWhy it stands out: Built specifically for credit unions to replace fragmented legacy stacks. It unifies the applicant portal, decision engines, and agent workspaces, and natively integrates cleanly with major credit union cores (Jack Henry, Fiserv, Corelation) with strong auto-decisioning capabilities.\nBest for: Credit unions wanting to move away from clunky legacy systems toward a modern, AI-enabled cloud platform.",
      "vendor_as_named": "Fuse",
      "vendor_normalized": "Fuse",
      "comparison_vendor": null
    },
    {
      "id": "e771390152fc2a5bf65a",
      "record_id": "loan-origination-software|q2|Google AI Mode|1",
      "criterion_id": "fit",
      "engine": "Google AI Mode",
      "question_id": "q2",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1767,
      "end": 2119,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "22c3acebfd4ee5eacc8613eb07a618d2c21493d8324d752c7f5abd9e41d6fbc2",
      "answer_sha256": "789051db70649e165b5714c73f944f9d34ffc958528aa0ff8f5c9de36121d83f",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "LoanPro — Best for End-to-End Modern Lending\nWhy it stands out: Known for a powerful modern API-driven architecture that bridges origination and real-time loan servicing, giving back-office staff immense transparency and calculation flexibility.\nBest for: Credit unions looking to tightly couple automated origination with advanced lifecycle servicing.",
      "vendor_as_named": "LoanPro",
      "vendor_normalized": "LoanPro",
      "comparison_vendor": null
    },
    {
      "id": "b30c6cdf67b16c212e34",
      "record_id": "loan-origination-software|q2|Google AI Mode|1",
      "criterion_id": "fit",
      "engine": "Google AI Mode",
      "question_id": "q2",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2120,
      "end": 2471,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "28c2bae46caf9e3492175fd9adac9e12234fc510381741a6e06c8a87bc492abf",
      "answer_sha256": "789051db70649e165b5714c73f944f9d34ffc958528aa0ff8f5c9de36121d83f",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Abrigo — Best for Commercial and Consumer Blend\nWhy it stands out: Abrigo offers strong portfolio-wide analytics and streamlined workflows spanning consumer, small business, and commercial real estate (CRE) lending.\nBest for: Credit unions with a heavy focus on growing their business and commercial lending portfolios alongside retail consumer loans.",
      "vendor_as_named": "Abrigo",
      "vendor_normalized": "Abrigo",
      "comparison_vendor": "Abrigo"
    },
    {
      "id": "17717c9ff88b47713822",
      "record_id": "loan-origination-software|q2|Google AI Mode|1",
      "criterion_id": "core_connections",
      "engine": "Google AI Mode",
      "question_id": "q2",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1290,
      "end": 1650,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "f94e723f83ccb2eec98ec6fb163974b3a6651bf60829ad38c6edc8955c5d458b",
      "answer_sha256": "789051db70649e165b5714c73f944f9d34ffc958528aa0ff8f5c9de36121d83f",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Fuse (Fuse Finance) — Best AI-Native / Modern Tech Stack\nWhy it stands out: Built specifically for credit unions to replace fragmented legacy stacks. It unifies the applicant portal, decision engines, and agent workspaces, and natively integrates cleanly with major credit union cores (Jack Henry, Fiserv, Corelation) with strong auto-decisioning capabilities.",
      "vendor_as_named": "Fuse",
      "vendor_normalized": "Fuse",
      "comparison_vendor": null
    },
    {
      "id": "33ccf4bce3ff174e102e",
      "record_id": "loan-origination-software|q2|Google AI Mode|2",
      "criterion_id": "fit",
      "engine": "Google AI Mode",
      "question_id": "q2",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 392,
      "end": 688,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "07bc88db9b4ef7482f7fe1da7e8780064dc6067c7092c2cfb51231317377df2d",
      "answer_sha256": "76d55f339e55782b19beebf5fa051b48a935d60c2d2ded095bf5e9bbc3f4c26d",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "MeridianLink (MeridianLink Consumer/Mortgage): Widely recognized as a market leader serving a massive share of the top U.S. credit unions. It provides robust data integration, automated decisioning, and seamless connectivity with core banking systems tailored to community financial institutions.",
      "vendor_as_named": "MeridianLink",
      "vendor_normalized": "MeridianLink",
      "comparison_vendor": "MeridianLink"
    },
    {
      "id": "afb098759d0b6ac0c791",
      "record_id": "loan-origination-software|q2|Google AI Mode|2",
      "criterion_id": "fit",
      "engine": "Google AI Mode",
      "question_id": "q2",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 689,
      "end": 1003,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "908bd833ee095a40f47d97ea51365a33d39bb72e82f9f98a48ae5807e387a172",
      "answer_sha256": "76d55f339e55782b19beebf5fa051b48a935d60c2d2ded095bf5e9bbc3f4c26d",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Origence arc: Formerly known through CU Direct/Lending 360, Origence specializes in optimizing the credit union lending lifecycle. It excels in consumer and indirect auto lending, offering powerful digital member experiences (arc DX) and a highly configurable decision engine (arc OS) with robust partner networks.",
      "vendor_as_named": "Origence",
      "vendor_normalized": "Origence",
      "comparison_vendor": null
    },
    {
      "id": "72e0b020ed3f0a8cdf95",
      "record_id": "loan-origination-software|q2|Google AI Mode|2",
      "criterion_id": "fit",
      "engine": "Google AI Mode",
      "question_id": "q2",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1004,
      "end": 1246,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "46af02a6c11de9c2fa11569028e37543f04ca6f4597c81f0922876fc57cd3abd",
      "answer_sha256": "76d55f339e55782b19beebf5fa051b48a935d60c2d2ded095bf5e9bbc3f4c26d",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "nCino: Built natively on the Salesforce platform, nCino is the top choice for credit unions looking for an end-to-end cloud banking solution that smoothly bridges consumer, commercial, and small business lending within a unified CRM workflow.",
      "vendor_as_named": "nCino",
      "vendor_normalized": "nCino",
      "comparison_vendor": "nCino"
    },
    {
      "id": "3d704db9551f292203d5",
      "record_id": "loan-origination-software|q2|Google AI Mode|2",
      "criterion_id": "fit",
      "engine": "Google AI Mode",
      "question_id": "q2",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1247,
      "end": 1458,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "ec0a0c18bb9a14224736e943f5cf61e3e21a526dcc1991911326d3afb82e6e70",
      "answer_sha256": "76d55f339e55782b19beebf5fa051b48a935d60c2d2ded095bf5e9bbc3f4c26d",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "LoanPro: An increasingly popular modern, API-driven platform that handles full-lifecycle lending from origination straight through to servicing, making it ideal for credit unions wanting to eliminate data silos.",
      "vendor_as_named": "LoanPro",
      "vendor_normalized": "LoanPro",
      "comparison_vendor": null
    },
    {
      "id": "2908c41a6a80b35f71d9",
      "record_id": "loan-origination-software|q2|Google AI Mode|2",
      "criterion_id": "fit",
      "engine": "Google AI Mode",
      "question_id": "q2",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1459,
      "end": 1640,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "9fe0e0d297d0c90646c967d38d03c2c10b067b3b55f50d66667c4446530b401b",
      "answer_sha256": "76d55f339e55782b19beebf5fa051b48a935d60c2d2ded095bf5e9bbc3f4c26d",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Encompass (ICE Mortgage Technology): The industry standard if your credit union’s primary volume or growth strategy is centered on heavy mortgage origination and scaling home loans.",
      "vendor_as_named": "Encompass",
      "vendor_normalized": "ICE Mortgage Technology",
      "comparison_vendor": "ICE Mortgage Technology"
    },
    {
      "id": "b23c8a245737ae0fd3a0",
      "record_id": "loan-origination-software|q2|Google AI Overviews|1",
      "criterion_id": "loan_types",
      "engine": "Google AI Overviews",
      "question_id": "q2",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 389,
      "end": 590,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "558a83480111952c0cddd8673b58d0e604b7f5dffdf1e389bc5adcc33db6cdc6",
      "answer_sha256": "002f6a849082ad539220bef7179795d7b06f2986712370a2364c5cebae870a42",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "💡 MeridianLink Consumer & Mortgage\nBest for: Comprehensive credit union multi-product lending.\n✅ Strengths: Robust API capabilities, deep indirect auto/consumer lending support, and high system uptime.",
      "vendor_as_named": "MeridianLink",
      "vendor_normalized": "MeridianLink",
      "comparison_vendor": "MeridianLink"
    },
    {
      "id": "472bed3f3f41eff04bbb",
      "record_id": "loan-origination-software|q2|Google AI Overviews|1",
      "criterion_id": "borrower_experience",
      "engine": "Google AI Overviews",
      "question_id": "q2",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 827,
      "end": 1051,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "f30a15eaaf373bf04daca8f08621183896f8b84a3ed4fe5641bbb89c4317bd53",
      "answer_sha256": "002f6a849082ad539220bef7179795d7b06f2986712370a2364c5cebae870a42",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "✅ Origence (arc OS & arc DX)\nBest for: Advanced automated decisioning and digital member experience.\n✅ Strengths: Decision engine with 1,800+ variables, unified digital app-to-funding workflow, strong indirect lending tools.",
      "vendor_as_named": "Origence",
      "vendor_normalized": "Origence",
      "comparison_vendor": null
    },
    {
      "id": "c9486a6a26d63bf2b151",
      "record_id": "loan-origination-software|q2|Google AI Overviews|1",
      "criterion_id": "borrower_experience",
      "engine": "Google AI Overviews",
      "question_id": "q2",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1226,
      "end": 1444,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "873ceee58c9e2c830dd8a3517fc26ee9c9314cf0fb51c29d1c422341d3b2d485",
      "answer_sha256": "002f6a849082ad539220bef7179795d7b06f2986712370a2364c5cebae870a42",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "📌 Fuse Financial\nBest for: Unified consumer, small business, and mortgage workflows with modern AI.\n✅ Strengths: Built-in membership-to-loan application flow, no-code rule configuration, zero re-keying across channels.",
      "vendor_as_named": "Fuse Financial",
      "vendor_normalized": "Fuse",
      "comparison_vendor": null
    },
    {
      "id": "1ceb642ba30db2b6a58f",
      "record_id": "loan-origination-software|q2|Google AI Overviews|1",
      "criterion_id": "loan_types",
      "engine": "Google AI Overviews",
      "question_id": "q2",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1226,
      "end": 1444,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "873ceee58c9e2c830dd8a3517fc26ee9c9314cf0fb51c29d1c422341d3b2d485",
      "answer_sha256": "002f6a849082ad539220bef7179795d7b06f2986712370a2364c5cebae870a42",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "📌 Fuse Financial\nBest for: Unified consumer, small business, and mortgage workflows with modern AI.\n✅ Strengths: Built-in membership-to-loan application flow, no-code rule configuration, zero re-keying across channels.",
      "vendor_as_named": "Fuse Financial",
      "vendor_normalized": "Fuse",
      "comparison_vendor": null
    },
    {
      "id": "b7aa6ef2fb72f107bd5b",
      "record_id": "loan-origination-software|q2|Google AI Overviews|1",
      "criterion_id": "loan_types",
      "engine": "Google AI Overviews",
      "question_id": "q2",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1614,
      "end": 1784,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "43ea4582c589219d611d98c072eee9a15a56bdbe098b2b6cdc9cccabb3a9422a",
      "answer_sha256": "002f6a849082ad539220bef7179795d7b06f2986712370a2364c5cebae870a42",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "🔎 nCino\nBest for: Salesforce-centric credit unions handling commercial portfolios.\n✅ Strengths: Native CRM visibility, exceptional commercial and small business tracking.",
      "vendor_as_named": "nCino",
      "vendor_normalized": "nCino",
      "comparison_vendor": "nCino"
    },
    {
      "id": "6f2f7499f35103a5dc6c",
      "record_id": "loan-origination-software|q2|Google AI Overviews|2",
      "criterion_id": "fit",
      "engine": "Google AI Overviews",
      "question_id": "q2",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 328,
      "end": 452,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "f87237718d256f2aa0c402df28a57d31dab65c23b9d6c35d671335fc6417c997",
      "answer_sha256": "af4fd2eec14bf8a17774f9c0a8ad64ebce29001ca8859b0f36bda840ec11a481",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "MeridianLink | All-in-one consumer, mortgage, and indirect scale | Requires initial configuration depth for staff efficiency",
      "vendor_as_named": "MeridianLink",
      "vendor_normalized": "MeridianLink",
      "comparison_vendor": "MeridianLink"
    },
    {
      "id": "606f25fa5b73f8f40084",
      "record_id": "loan-origination-software|q2|Google AI Overviews|2",
      "criterion_id": "fit",
      "engine": "Google AI Overviews",
      "question_id": "q2",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 453,
      "end": 593,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "ea95abae0beb4ef9e5ed2ca45194cc8e88669271d7a4e0abf69cfedf9ec7cea6",
      "answer_sha256": "af4fd2eec14bf8a17774f9c0a8ad64ebce29001ca8859b0f36bda840ec11a481",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Origence | Indirect auto dealer networks (via CUDL) and AI decisioning | Specialized focus primarily tailored around credit union ecosystems",
      "vendor_as_named": "Origence",
      "vendor_normalized": "Origence",
      "comparison_vendor": null
    },
    {
      "id": "1ec6a029574cd239aadd",
      "record_id": "loan-origination-software|q2|Perplexity|1",
      "criterion_id": "fit",
      "engine": "Perplexity",
      "question_id": "q2",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 978,
      "end": 1045,
      "sources": [
        "https://creditunionlendingsoftware.com/best/consumer-loan-origination-software-for-credit-unions",
        "https://us.fitgap.com/search/loan-software/credit-unions",
        "https://www.multimodal.dev/post/best-loan-origination-software"
      ],
      "source_state": "attached source",
      "quote_sha256": "0a1249f80d0e7947ec3497c735acfa9c319936685cf15101d279253df590ab78",
      "answer_sha256": "98d3b0940ea962c10b71a5f3311fae3f01d921ec3b2e32edb448c50f816ad197",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "vendor_as_named": "MeridianLink",
      "vendor_normalized": "MeridianLink",
      "comparison_vendor": "MeridianLink"
    },
    {
      "id": "1474d4fc281796b3b07a",
      "record_id": "loan-origination-software|q2|Perplexity|1",
      "criterion_id": "fit",
      "engine": "Perplexity",
      "question_id": "q2",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1046,
      "end": 1098,
      "sources": [
        "https://blog.digitalheroesco.com/best/best-loan-origination-software/",
        "https://creditunionlendingsoftware.com/best/consumer-loan-origination-software-for-credit-unions",
        "https://www.multimodal.dev/post/ai-powered-lending-platforms-for-credit-unions"
      ],
      "source_state": "attached source",
      "quote_sha256": "8b507afae00f55f1954560595ce55ba2526066cf535e6c4592bafcb655aa6610",
      "answer_sha256": "98d3b0940ea962c10b71a5f3311fae3f01d921ec3b2e32edb448c50f816ad197",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "vendor_as_named": "Origence",
      "vendor_normalized": "Origence",
      "comparison_vendor": null
    },
    {
      "id": "7fa576e31e49f1bb1a5d",
      "record_id": "loan-origination-software|q2|Perplexity|1",
      "criterion_id": "fit",
      "engine": "Perplexity",
      "question_id": "q2",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1099,
      "end": 1153,
      "sources": [
        "https://blog.digitalheroesco.com/best/best-loan-origination-software/",
        "https://www.multimodal.dev/post/best-loan-origination-software"
      ],
      "source_state": "attached source",
      "quote_sha256": "34e46efb3e2866dbc93f72ce98ff3fcb1af7c4545604aeeb839a4d5cf77f0567",
      "answer_sha256": "98d3b0940ea962c10b71a5f3311fae3f01d921ec3b2e32edb448c50f816ad197",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "vendor_as_named": "LoanVantage",
      "vendor_normalized": "Jack Henry",
      "comparison_vendor": null
    },
    {
      "id": "7924df4b202cece428e0",
      "record_id": "loan-origination-software|q2|Perplexity|1",
      "criterion_id": "fit",
      "engine": "Perplexity",
      "question_id": "q2",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1154,
      "end": 1237,
      "sources": [
        "https://blog.digitalheroesco.com/best/best-loan-origination-software/",
        "https://gitnux.org/best/credit-union-lending-software/",
        "https://www.abrigo.com/software/lending-and-credit-risk/",
        "https://www.loanpro.io/blog/best-loan-origination-software/"
      ],
      "source_state": "attached source",
      "quote_sha256": "3e66da853e69ce47e97f16dcda394b2a4feaf5dcc3ebdcf60d7723e01c9098e2",
      "answer_sha256": "98d3b0940ea962c10b71a5f3311fae3f01d921ec3b2e32edb448c50f816ad197",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "vendor_as_named": "Abrigo",
      "vendor_normalized": "Abrigo",
      "comparison_vendor": "Abrigo"
    },
    {
      "id": "811e9e2a1f6e495deab7",
      "record_id": "loan-origination-software|q2|Perplexity|1",
      "criterion_id": "fit",
      "engine": "Perplexity",
      "question_id": "q2",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1154,
      "end": 1237,
      "sources": [
        "https://blog.digitalheroesco.com/best/best-loan-origination-software/",
        "https://gitnux.org/best/credit-union-lending-software/",
        "https://www.abrigo.com/software/lending-and-credit-risk/",
        "https://www.loanpro.io/blog/best-loan-origination-software/"
      ],
      "source_state": "attached source",
      "quote_sha256": "3e66da853e69ce47e97f16dcda394b2a4feaf5dcc3ebdcf60d7723e01c9098e2",
      "answer_sha256": "98d3b0940ea962c10b71a5f3311fae3f01d921ec3b2e32edb448c50f816ad197",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "vendor_as_named": "Baker Hill",
      "vendor_normalized": "Baker Hill",
      "comparison_vendor": "Baker Hill"
    },
    {
      "id": "87fcca0f4db3553ca5c0",
      "record_id": "loan-origination-software|q2|Perplexity|1",
      "criterion_id": "fit",
      "engine": "Perplexity",
      "question_id": "q2",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1238,
      "end": 1317,
      "sources": [
        "https://creditunionlendingsoftware.com/best/consumer-loan-origination-software-for-credit-unions",
        "https://www.multimodal.dev/post/best-loan-origination-software"
      ],
      "source_state": "attached source",
      "quote_sha256": "e1cd5fc4195e896ffa01de40324488b84c5711752a0d28e16dee0d755d965154",
      "answer_sha256": "98d3b0940ea962c10b71a5f3311fae3f01d921ec3b2e32edb448c50f816ad197",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "vendor_as_named": "Encompass",
      "vendor_normalized": "ICE Mortgage Technology",
      "comparison_vendor": "ICE Mortgage Technology"
    },
    {
      "id": "80f7e7021f1255cb0b75",
      "record_id": "loan-origination-software|q2|Perplexity|1",
      "criterion_id": "fit",
      "engine": "Perplexity",
      "question_id": "q2",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1238,
      "end": 1317,
      "sources": [
        "https://creditunionlendingsoftware.com/best/consumer-loan-origination-software-for-credit-unions",
        "https://www.multimodal.dev/post/best-loan-origination-software"
      ],
      "source_state": "attached source",
      "quote_sha256": "e1cd5fc4195e896ffa01de40324488b84c5711752a0d28e16dee0d755d965154",
      "answer_sha256": "98d3b0940ea962c10b71a5f3311fae3f01d921ec3b2e32edb448c50f816ad197",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "vendor_as_named": "Blend",
      "vendor_normalized": "Blend",
      "comparison_vendor": null
    },
    {
      "id": "14e8a7b21356daa86969",
      "record_id": "loan-origination-software|q2|Perplexity|2",
      "criterion_id": "fit",
      "engine": "Perplexity",
      "question_id": "q2",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 751,
      "end": 877,
      "sources": [
        "https://creditunionlendingsoftware.com/best/consumer-loan-origination-software-for-credit-unions",
        "https://us.fitgap.com/search/loan-software/credit-unions",
        "https://www.multimodal.dev/post/best-loan-origination-software"
      ],
      "source_state": "attached source",
      "quote_sha256": "82caef0a6b14008c13022d4cd44fc63e8971bf1a8a78f1714c62412d2733a130",
      "answer_sha256": "573176977abc65eaf7d56c6906cfb10ae9f2cb91240d9edbca9278da25b40594",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "vendor_as_named": "MeridianLink",
      "vendor_normalized": "MeridianLink",
      "comparison_vendor": "MeridianLink"
    },
    {
      "id": "b2f03c48e055b2a1148d",
      "record_id": "loan-origination-software|q2|Perplexity|2",
      "criterion_id": "fit",
      "engine": "Perplexity",
      "question_id": "q2",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 878,
      "end": 980,
      "sources": [
        "https://blog.digitalheroesco.com/best/best-loan-origination-software/",
        "https://creditunionlendingsoftware.com/best/consumer-loan-origination-software-for-credit-unions",
        "https://www.multimodal.dev/post/best-loan-origination-software"
      ],
      "source_state": "attached source",
      "quote_sha256": "d503925702e8e936bbf81651c4ae8cfb7f6ba6e7d1fcd90449bcf978d612895a",
      "answer_sha256": "573176977abc65eaf7d56c6906cfb10ae9f2cb91240d9edbca9278da25b40594",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "vendor_as_named": "Origence",
      "vendor_normalized": "Origence",
      "comparison_vendor": null
    },
    {
      "id": "db5438525bfa8e10c621",
      "record_id": "loan-origination-software|q2|Perplexity|2",
      "criterion_id": "fit",
      "engine": "Perplexity",
      "question_id": "q2",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 981,
      "end": 1077,
      "sources": [
        "https://blog.digitalheroesco.com/best/best-loan-origination-software/",
        "https://www.multimodal.dev/post/best-loan-origination-software"
      ],
      "source_state": "attached source",
      "quote_sha256": "23054bafc356fea3a97e081e5c3b5d279b9d9536fd53fdce8c9c759e218908cd",
      "answer_sha256": "573176977abc65eaf7d56c6906cfb10ae9f2cb91240d9edbca9278da25b40594",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "vendor_as_named": "Jack Henry LoanVantage",
      "vendor_normalized": "Jack Henry",
      "comparison_vendor": null
    },
    {
      "id": "11f21c8d773149a15cdf",
      "record_id": "loan-origination-software|q2|Perplexity|2",
      "criterion_id": "fit",
      "engine": "Perplexity",
      "question_id": "q2",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1078,
      "end": 1198,
      "sources": [
        "https://gitnux.org/best/credit-union-loan-origination-software/",
        "https://www.abrigo.com/software/lending-and-credit-risk/",
        "https://www.loanpro.io/blog/best-loan-origination-software/"
      ],
      "source_state": "attached source",
      "quote_sha256": "3c79ca98d8116b50b963cbc1dc2437b955aec33406ef5ae8fe2e4157204ebb48",
      "answer_sha256": "573176977abc65eaf7d56c6906cfb10ae9f2cb91240d9edbca9278da25b40594",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "vendor_as_named": "Abrigo",
      "vendor_normalized": "Abrigo",
      "comparison_vendor": "Abrigo"
    },
    {
      "id": "5e4757f6ee8bbe32cd77",
      "record_id": "loan-origination-software|q2|Perplexity|2",
      "criterion_id": "fit",
      "engine": "Perplexity",
      "question_id": "q2",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1199,
      "end": 1270,
      "sources": [
        "https://www.moxo.com/blog/best-loan-origination-sofware",
        "https://www.multimodal.dev/post/best-loan-origination-software"
      ],
      "source_state": "attached source",
      "quote_sha256": "7e8f5eff03cf457d71694a58cd33885f5329a6c016a26739cb072fe53becb53b",
      "answer_sha256": "573176977abc65eaf7d56c6906cfb10ae9f2cb91240d9edbca9278da25b40594",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "vendor_as_named": "nCino",
      "vendor_normalized": "nCino",
      "comparison_vendor": "nCino"
    },
    {
      "id": "6e1f8b248b95f45b0c11",
      "record_id": "loan-origination-software|q2|Perplexity|2",
      "criterion_id": "fit",
      "engine": "Perplexity",
      "question_id": "q2",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1271,
      "end": 1339,
      "sources": [
        "https://creditunionlendingsoftware.com/best/consumer-loan-origination-software-for-credit-unions"
      ],
      "source_state": "attached source",
      "quote_sha256": "97ad034becf8656df02c701991a5e14f13aaa785b241f0891a4752d81313cb23",
      "answer_sha256": "573176977abc65eaf7d56c6906cfb10ae9f2cb91240d9edbca9278da25b40594",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "vendor_as_named": "Blend",
      "vendor_normalized": "Blend",
      "comparison_vendor": null
    },
    {
      "id": "8884ce4949f6edd0b4b0",
      "record_id": "loan-origination-software|q2|Perplexity|2",
      "criterion_id": "fit",
      "engine": "Perplexity",
      "question_id": "q2",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1340,
      "end": 1482,
      "sources": [
        "https://www.multimodal.dev/post/ai-powered-lending-platforms-for-credit-unions",
        "https://www.multimodal.dev/post/best-loan-origination-software"
      ],
      "source_state": "attached source",
      "quote_sha256": "0bc6dde3261a45c67cd8fb919a3668a573c4c968707c9373188aa20c7e4dde13",
      "answer_sha256": "573176977abc65eaf7d56c6906cfb10ae9f2cb91240d9edbca9278da25b40594",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "vendor_as_named": "AgentFlow",
      "vendor_normalized": "AgentFlow",
      "comparison_vendor": null
    },
    {
      "id": "e42df82702d2d71792bc",
      "record_id": "loan-origination-software|q2|Perplexity|3",
      "criterion_id": "fit",
      "engine": "Perplexity",
      "question_id": "q2",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 833,
      "end": 900,
      "sources": [
        "https://creditunionlendingsoftware.com/best/consumer-loan-origination-software-for-credit-unions",
        "https://us.fitgap.com/search/loan-software/credit-unions",
        "https://www.multimodal.dev/post/best-loan-origination-software"
      ],
      "source_state": "attached source",
      "quote_sha256": "0a1249f80d0e7947ec3497c735acfa9c319936685cf15101d279253df590ab78",
      "answer_sha256": "4e821ac5078fcc1631ff9ceafcdf512d64c52ac83b351d2b68ddf3e2d803ce3b",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "vendor_as_named": "MeridianLink",
      "vendor_normalized": "MeridianLink",
      "comparison_vendor": "MeridianLink"
    },
    {
      "id": "d4a9c8c6bdb3584196c9",
      "record_id": "loan-origination-software|q2|Perplexity|3",
      "criterion_id": "fit",
      "engine": "Perplexity",
      "question_id": "q2",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 901,
      "end": 966,
      "sources": [
        "https://blog.digitalheroesco.com/best/best-loan-origination-software/",
        "https://creditunionlendingsoftware.com/best/consumer-loan-origination-software-for-credit-unions"
      ],
      "source_state": "attached source",
      "quote_sha256": "b3c882f393712f72e8bc291207acc1705e39b2a08a7e540f3bddadf493bf069c",
      "answer_sha256": "4e821ac5078fcc1631ff9ceafcdf512d64c52ac83b351d2b68ddf3e2d803ce3b",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "vendor_as_named": "Origence",
      "vendor_normalized": "Origence",
      "comparison_vendor": null
    },
    {
      "id": "e444713c3f191ab3cac1",
      "record_id": "loan-origination-software|q2|Perplexity|3",
      "criterion_id": "fit",
      "engine": "Perplexity",
      "question_id": "q2",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 967,
      "end": 1028,
      "sources": [
        "https://blog.digitalheroesco.com/best/best-loan-origination-software/",
        "https://www.multimodal.dev/post/best-loan-origination-software"
      ],
      "source_state": "attached source",
      "quote_sha256": "68d2f87b8055efa5e5c4ba0a42b7240546e09ab32525d02c1030c44bbdb696e2",
      "answer_sha256": "4e821ac5078fcc1631ff9ceafcdf512d64c52ac83b351d2b68ddf3e2d803ce3b",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "vendor_as_named": "LoanVantage",
      "vendor_normalized": "Jack Henry",
      "comparison_vendor": null
    },
    {
      "id": "4a564d9bab1d758efec9",
      "record_id": "loan-origination-software|q2|Perplexity|3",
      "criterion_id": "fit",
      "engine": "Perplexity",
      "question_id": "q2",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1029,
      "end": 1091,
      "sources": [
        "https://www.moxo.com/blog/best-loan-origination-sofware",
        "https://www.multimodal.dev/post/best-loan-origination-software"
      ],
      "source_state": "attached source",
      "quote_sha256": "6878a924dd860a55db47a3f12735fd68e86760968ecbdb5d3a10c1c28daeac14",
      "answer_sha256": "4e821ac5078fcc1631ff9ceafcdf512d64c52ac83b351d2b68ddf3e2d803ce3b",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "vendor_as_named": "nCino",
      "vendor_normalized": "nCino",
      "comparison_vendor": "nCino"
    },
    {
      "id": "de58b91573c8d7d285dd",
      "record_id": "loan-origination-software|q2|Perplexity|3",
      "criterion_id": "fit",
      "engine": "Perplexity",
      "question_id": "q2",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1092,
      "end": 1208,
      "sources": [
        "https://creditunionlendingsoftware.com/best/consumer-loan-origination-software-for-credit-unions",
        "https://worldmetrics.org/best/credit-union-loan-origination-software/"
      ],
      "source_state": "attached source",
      "quote_sha256": "451a18795d395005f1e7c1b8d59120b679fc51cf87edbc39ac22f036ca784741",
      "answer_sha256": "4e821ac5078fcc1631ff9ceafcdf512d64c52ac83b351d2b68ddf3e2d803ce3b",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "vendor_as_named": "Blend",
      "vendor_normalized": "Blend",
      "comparison_vendor": null
    },
    {
      "id": "ac87a93117be22ddc689",
      "record_id": "loan-origination-software|q2|Perplexity|3",
      "criterion_id": "fit",
      "engine": "Perplexity",
      "question_id": "q2",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1092,
      "end": 1208,
      "sources": [
        "https://creditunionlendingsoftware.com/best/consumer-loan-origination-software-for-credit-unions",
        "https://worldmetrics.org/best/credit-union-loan-origination-software/"
      ],
      "source_state": "attached source",
      "quote_sha256": "451a18795d395005f1e7c1b8d59120b679fc51cf87edbc39ac22f036ca784741",
      "answer_sha256": "4e821ac5078fcc1631ff9ceafcdf512d64c52ac83b351d2b68ddf3e2d803ce3b",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "vendor_as_named": "Mortgage Cadence",
      "vendor_normalized": "Mortgage Cadence",
      "comparison_vendor": null
    },
    {
      "id": "d6303d990ff90ddb6dc2",
      "record_id": "loan-origination-software|q2|Perplexity|3",
      "criterion_id": "fit",
      "engine": "Perplexity",
      "question_id": "q2",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1209,
      "end": 1339,
      "sources": [
        "https://blog.digitalheroesco.com/best/best-loan-origination-software/",
        "https://gitnux.org/best/credit-union-lending-software/",
        "https://gitnux.org/best/credit-union-loan-origination-software/",
        "https://www.abrigo.com/software/lending-and-credit-risk/"
      ],
      "source_state": "attached source",
      "quote_sha256": "ffedf0b7016b05c01669af750d7c65e052c71b8a59f52b3db7f28f99ae254a4c",
      "answer_sha256": "4e821ac5078fcc1631ff9ceafcdf512d64c52ac83b351d2b68ddf3e2d803ce3b",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "vendor_as_named": "Baker Hill",
      "vendor_normalized": "Baker Hill",
      "comparison_vendor": "Baker Hill"
    },
    {
      "id": "3e204465c575d05332e7",
      "record_id": "loan-origination-software|q2|Perplexity|3",
      "criterion_id": "fit",
      "engine": "Perplexity",
      "question_id": "q2",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1209,
      "end": 1339,
      "sources": [
        "https://blog.digitalheroesco.com/best/best-loan-origination-software/",
        "https://gitnux.org/best/credit-union-lending-software/",
        "https://gitnux.org/best/credit-union-loan-origination-software/",
        "https://www.abrigo.com/software/lending-and-credit-risk/"
      ],
      "source_state": "attached source",
      "quote_sha256": "ffedf0b7016b05c01669af750d7c65e052c71b8a59f52b3db7f28f99ae254a4c",
      "answer_sha256": "4e821ac5078fcc1631ff9ceafcdf512d64c52ac83b351d2b68ddf3e2d803ce3b",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "vendor_as_named": "Abrigo",
      "vendor_normalized": "Abrigo",
      "comparison_vendor": "Abrigo"
    },
    {
      "id": "cb3fef4c016447708842",
      "record_id": "loan-origination-software|q3|Claude|1",
      "criterion_id": "fit",
      "engine": "Claude",
      "question_id": "q3",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 278,
      "end": 1070,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "c11a334d0ebe4567a550b0dd4b0cc829ace5d24474bd2ee86357129df44af0b6",
      "answer_sha256": "4f9c927d16645ed89c362ddedf83b691d68ddda45141a9bce32ff7a1cce172e2",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "### 1. **ARIVE** ⭐ *Best Overall for Independent Brokers*\n\nARIVE is a platform specifically built for mortgage brokers, combining a loan origination system, borrower point-of-sale, and product pricing engine integrated with a marketplace of wholesale lenders. It consolidates end-to-end broker workflow — from taking applications to pricing across lenders to managing the pipeline — in one interface.\n\n\n- \nARIVE has the widest lender network, and Rocket Pro now integrates fully, so you can price, submit, and track without leaving it.\n\n- \nPricing ranges from approximately $60 to $100 per user per month — Core plan around $60, Pro approximately $80, and Premium about $100.\n\n- **Best for:** Independent broker shops that submit to multiple wholesale lenders and want an all-in-one platform.",
      "vendor_as_named": "ARIVE",
      "vendor_normalized": "ARIVE",
      "comparison_vendor": null
    },
    {
      "id": "673617a411d4cfa87480",
      "record_id": "loan-origination-software|q3|Claude|1",
      "criterion_id": "lender_connections",
      "engine": "Claude",
      "question_id": "q3",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 278,
      "end": 1070,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "c11a334d0ebe4567a550b0dd4b0cc829ace5d24474bd2ee86357129df44af0b6",
      "answer_sha256": "4f9c927d16645ed89c362ddedf83b691d68ddda45141a9bce32ff7a1cce172e2",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "### 1. **ARIVE** ⭐ *Best Overall for Independent Brokers*\n\nARIVE is a platform specifically built for mortgage brokers, combining a loan origination system, borrower point-of-sale, and product pricing engine integrated with a marketplace of wholesale lenders. It consolidates end-to-end broker workflow — from taking applications to pricing across lenders to managing the pipeline — in one interface.\n\n\n- \nARIVE has the widest lender network, and Rocket Pro now integrates fully, so you can price, submit, and track without leaving it.\n\n- \nPricing ranges from approximately $60 to $100 per user per month — Core plan around $60, Pro approximately $80, and Premium about $100.\n\n- **Best for:** Independent broker shops that submit to multiple wholesale lenders and want an all-in-one platform.",
      "vendor_as_named": "ARIVE",
      "vendor_normalized": "ARIVE",
      "comparison_vendor": null
    },
    {
      "id": "6c65faa6900d43672b95",
      "record_id": "loan-origination-software|q3|Claude|1",
      "criterion_id": "fit",
      "engine": "Claude",
      "question_id": "q3",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1077,
      "end": 1767,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "321df1de51d7a9ea59a874b204ae39ccf21f826e1625a076eafe31a0cfbd379c",
      "answer_sha256": "4f9c927d16645ed89c362ddedf83b691d68ddda45141a9bce32ff7a1cce172e2",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "### 2. **LendingPad** ⭐ *Best Cloud-Native LOS*\n\nLendingPad is a cloud-native mortgage LOS developed in 2015 to modernize lending workflows through real-time collaboration and accessibility. The platform supports retail, wholesale, and correspondent lending, allowing multiple users to work simultaneously on the same loan file. It offers an integrated CRM, automated compliance tracking, and seamless integrations with credit bureaus, appraisal services, and title companies.\n\n\n- \nIt is cloud-native and genuinely multi-user — a processor and an LO can work the same file at once instead of taking turns. It deploys in weeks, not quarters, and is priced for shops that are not enterprises.",
      "vendor_as_named": "LendingPad",
      "vendor_normalized": "LendingPad",
      "comparison_vendor": null
    },
    {
      "id": "d4c27f9e7ff5d6642e50",
      "record_id": "loan-origination-software|q3|Claude|1",
      "criterion_id": "affordable",
      "engine": "Claude",
      "question_id": "q3",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1077,
      "end": 1767,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "321df1de51d7a9ea59a874b204ae39ccf21f826e1625a076eafe31a0cfbd379c",
      "answer_sha256": "4f9c927d16645ed89c362ddedf83b691d68ddda45141a9bce32ff7a1cce172e2",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "### 2. **LendingPad** ⭐ *Best Cloud-Native LOS*\n\nLendingPad is a cloud-native mortgage LOS developed in 2015 to modernize lending workflows through real-time collaboration and accessibility. The platform supports retail, wholesale, and correspondent lending, allowing multiple users to work simultaneously on the same loan file. It offers an integrated CRM, automated compliance tracking, and seamless integrations with credit bureaus, appraisal services, and title companies.\n\n\n- \nIt is cloud-native and genuinely multi-user — a processor and an LO can work the same file at once instead of taking turns. It deploys in weeks, not quarters, and is priced for shops that are not enterprises.",
      "vendor_as_named": "LendingPad",
      "vendor_normalized": "LendingPad",
      "comparison_vendor": null
    },
    {
      "id": "f619e039e8dff3356b8c",
      "record_id": "loan-origination-software|q3|Claude|1",
      "criterion_id": "fit",
      "engine": "Claude",
      "question_id": "q3",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2126,
      "end": 2640,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "023a7b7d9a85358581113be06096f109419f481d8a7f6a1a0da70b6d7c628c81",
      "answer_sha256": "4f9c927d16645ed89c362ddedf83b691d68ddda45141a9bce32ff7a1cce172e2",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "### 3. **Calyx Point / PointCentral / Path** ⭐ *Best Budget-Friendly Legacy Option*\n\nCalyx Point is a long-standing LOS built for mortgage brokers and small lenders who need an affordable, reliable solution for residential lending. It offers both desktop (Point) and cloud-hosted (PointCentral) deployments, making it a flexible choice for different office setups. With integrated tools like Calyx Zip and extensive third-party connectivity, it covers the essentials of mortgage origination at a competitive price.",
      "vendor_as_named": "Calyx Point",
      "vendor_normalized": "Calyx",
      "comparison_vendor": null
    },
    {
      "id": "d7f23cecffe6ee4ac74e",
      "record_id": "loan-origination-software|q3|Claude|1",
      "criterion_id": "affordable",
      "engine": "Claude",
      "question_id": "q3",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2126,
      "end": 2640,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "023a7b7d9a85358581113be06096f109419f481d8a7f6a1a0da70b6d7c628c81",
      "answer_sha256": "4f9c927d16645ed89c362ddedf83b691d68ddda45141a9bce32ff7a1cce172e2",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "### 3. **Calyx Point / PointCentral / Path** ⭐ *Best Budget-Friendly Legacy Option*\n\nCalyx Point is a long-standing LOS built for mortgage brokers and small lenders who need an affordable, reliable solution for residential lending. It offers both desktop (Point) and cloud-hosted (PointCentral) deployments, making it a flexible choice for different office setups. With integrated tools like Calyx Zip and extensive third-party connectivity, it covers the essentials of mortgage origination at a competitive price.",
      "vendor_as_named": "Calyx Point",
      "vendor_normalized": "Calyx",
      "comparison_vendor": null
    },
    {
      "id": "73d5ebd6e658143e504f",
      "record_id": "loan-origination-software|q3|Claude|1",
      "criterion_id": "fit",
      "engine": "Claude",
      "question_id": "q3",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3137,
      "end": 3604,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "5a0e45aa9e82d932e5cd7fe172478fcc21f5ff0df3e24846986a3425d716b72c",
      "answer_sha256": "4f9c927d16645ed89c362ddedf83b691d68ddda45141a9bce32ff7a1cce172e2",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "### 4. **Jupiter (by Rocket Pro/Lendesk)** ⭐ *Best Free Option*\n\nJupiter is free. Rocket Pro launched it with Lendesk in February 2026 for the broker network. If Rocket Pro takes a meaningful share of your submissions, that math is hard to argue with — it offers one-click submission with no upfront cost on credit or DU/LPA, and you can still export a 1003 to any other lender.\n\n\n- **Best for:** Brokers who primarily submit to Rocket Pro and want to minimize costs.",
      "vendor_as_named": "Jupiter",
      "vendor_normalized": "Jupiter",
      "comparison_vendor": null
    },
    {
      "id": "c92f433da6311006991f",
      "record_id": "loan-origination-software|q3|Claude|1",
      "criterion_id": "affordable",
      "engine": "Claude",
      "question_id": "q3",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3137,
      "end": 3604,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "5a0e45aa9e82d932e5cd7fe172478fcc21f5ff0df3e24846986a3425d716b72c",
      "answer_sha256": "4f9c927d16645ed89c362ddedf83b691d68ddda45141a9bce32ff7a1cce172e2",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "### 4. **Jupiter (by Rocket Pro/Lendesk)** ⭐ *Best Free Option*\n\nJupiter is free. Rocket Pro launched it with Lendesk in February 2026 for the broker network. If Rocket Pro takes a meaningful share of your submissions, that math is hard to argue with — it offers one-click submission with no upfront cost on credit or DU/LPA, and you can still export a 1003 to any other lender.\n\n\n- **Best for:** Brokers who primarily submit to Rocket Pro and want to minimize costs.",
      "vendor_as_named": "Jupiter",
      "vendor_normalized": "Jupiter",
      "comparison_vendor": null
    },
    {
      "id": "50da65f91f326ed302ee",
      "record_id": "loan-origination-software|q3|Claude|1",
      "criterion_id": "lender_connections",
      "engine": "Claude",
      "question_id": "q3",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3137,
      "end": 3604,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "5a0e45aa9e82d932e5cd7fe172478fcc21f5ff0df3e24846986a3425d716b72c",
      "answer_sha256": "4f9c927d16645ed89c362ddedf83b691d68ddda45141a9bce32ff7a1cce172e2",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "### 4. **Jupiter (by Rocket Pro/Lendesk)** ⭐ *Best Free Option*\n\nJupiter is free. Rocket Pro launched it with Lendesk in February 2026 for the broker network. If Rocket Pro takes a meaningful share of your submissions, that math is hard to argue with — it offers one-click submission with no upfront cost on credit or DU/LPA, and you can still export a 1003 to any other lender.\n\n\n- **Best for:** Brokers who primarily submit to Rocket Pro and want to minimize costs.",
      "vendor_as_named": "Jupiter",
      "vendor_normalized": "Jupiter",
      "comparison_vendor": null
    },
    {
      "id": "9c5f0c342b21c41b52c3",
      "record_id": "loan-origination-software|q3|Claude|2",
      "criterion_id": "fit",
      "engine": "Claude",
      "question_id": "q3",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 304,
      "end": 1148,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "f2f8de560d42a2a1d19a8cfc278ab6bf2d2e941383883a9a672fd090cc766701",
      "answer_sha256": "085913aed152f92d09b7edbce15fcbee20d3d37308f1ec7dc0fe3aa66575aaee",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "### 1. 🥇 **ARIVE** — *Best Overall for Independent Brokers*\n\nARIVE is a platform specifically built for mortgage brokers, combining a loan origination system, borrower point-of-sale, and product pricing engine integrated with a marketplace of wholesale lenders. It consolidates end-to-end broker workflow — from taking applications, to pricing across lenders, to managing the pipeline — all in one interface.\n\n\n- \nARIVE is the default choice for independent brokers, offering the widest lender network, and Rocket Pro now integrates fully, so you can price, submit, and track without leaving the platform.\n\n- \nPricing ranges from approximately $60 to $100 per user per month — Core plan around $60, Pro approximately $80, and Premium about $100.\n\n- **Best for:** Brokers who work with multiple wholesale lenders and want an all-in-one solution.",
      "vendor_as_named": "ARIVE",
      "vendor_normalized": "ARIVE",
      "comparison_vendor": null
    },
    {
      "id": "f87ff35e26a54387c017",
      "record_id": "loan-origination-software|q3|Claude|2",
      "criterion_id": "lender_connections",
      "engine": "Claude",
      "question_id": "q3",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 304,
      "end": 1148,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "f2f8de560d42a2a1d19a8cfc278ab6bf2d2e941383883a9a672fd090cc766701",
      "answer_sha256": "085913aed152f92d09b7edbce15fcbee20d3d37308f1ec7dc0fe3aa66575aaee",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "### 1. 🥇 **ARIVE** — *Best Overall for Independent Brokers*\n\nARIVE is a platform specifically built for mortgage brokers, combining a loan origination system, borrower point-of-sale, and product pricing engine integrated with a marketplace of wholesale lenders. It consolidates end-to-end broker workflow — from taking applications, to pricing across lenders, to managing the pipeline — all in one interface.\n\n\n- \nARIVE is the default choice for independent brokers, offering the widest lender network, and Rocket Pro now integrates fully, so you can price, submit, and track without leaving the platform.\n\n- \nPricing ranges from approximately $60 to $100 per user per month — Core plan around $60, Pro approximately $80, and Premium about $100.\n\n- **Best for:** Brokers who work with multiple wholesale lenders and want an all-in-one solution.",
      "vendor_as_named": "ARIVE",
      "vendor_normalized": "ARIVE",
      "comparison_vendor": null
    },
    {
      "id": "bb2d8c9a17da935d2dc9",
      "record_id": "loan-origination-software|q3|Claude|2",
      "criterion_id": "fit",
      "engine": "Claude",
      "question_id": "q3",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1155,
      "end": 1670,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "0858f77aa0e522092a4df9b1f440f59565b19ffce9990150ba2da94d18cded3c",
      "answer_sha256": "085913aed152f92d09b7edbce15fcbee20d3d37308f1ec7dc0fe3aa66575aaee",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "### 2. 🥈 **LendingPad** — *Best Cloud-Native LOS for Small-to-Mid Brokers*\n\nLendingPad is a cloud-based mortgage LOS offering a modern, streamlined platform for brokers, correspondents, and small-to-midsize lenders. Built as a web-first LOS, it is known for ease of use, speed, and cost-effectiveness.\n\n\n- \nIt is cloud-native and genuinely multi-user — a processor and an LO can work the same file at once instead of taking turns. It deploys in weeks, not quarters, and is priced for shops that are not enterprises.",
      "vendor_as_named": "LendingPad",
      "vendor_normalized": "LendingPad",
      "comparison_vendor": null
    },
    {
      "id": "3d870c5c7e3093a510ba",
      "record_id": "loan-origination-software|q3|Claude|2",
      "criterion_id": "affordable",
      "engine": "Claude",
      "question_id": "q3",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1155,
      "end": 1670,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "0858f77aa0e522092a4df9b1f440f59565b19ffce9990150ba2da94d18cded3c",
      "answer_sha256": "085913aed152f92d09b7edbce15fcbee20d3d37308f1ec7dc0fe3aa66575aaee",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "### 2. 🥈 **LendingPad** — *Best Cloud-Native LOS for Small-to-Mid Brokers*\n\nLendingPad is a cloud-based mortgage LOS offering a modern, streamlined platform for brokers, correspondents, and small-to-midsize lenders. Built as a web-first LOS, it is known for ease of use, speed, and cost-effectiveness.\n\n\n- \nIt is cloud-native and genuinely multi-user — a processor and an LO can work the same file at once instead of taking turns. It deploys in weeks, not quarters, and is priced for shops that are not enterprises.",
      "vendor_as_named": "LendingPad",
      "vendor_normalized": "LendingPad",
      "comparison_vendor": null
    },
    {
      "id": "dd3f8c562ada57a5a8ce",
      "record_id": "loan-origination-software|q3|Claude|2",
      "criterion_id": "fit",
      "engine": "Claude",
      "question_id": "q3",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2110,
      "end": 2564,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "421cfa8e02fec48a348120aa70a8a9ab6eee802ac11d1ddd82f916675ca97ef6",
      "answer_sha256": "085913aed152f92d09b7edbce15fcbee20d3d37308f1ec7dc0fe3aa66575aaee",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "### 3. 🥉 **Calyx Point / Calyx Path** — *Best Budget-Friendly Legacy Option*\n\nCalyx Point is a long-standing LOS built for mortgage brokers and small lenders who need an affordable, reliable solution for residential lending. It offers both desktop (Point) and cloud-hosted (PointCentral) deployments, and with integrated tools like Calyx Zip and extensive third-party connectivity, it covers the essentials of mortgage origination at a competitive price.",
      "vendor_as_named": "Calyx Point",
      "vendor_normalized": "Calyx",
      "comparison_vendor": null
    },
    {
      "id": "da50f6ede5803c3857f9",
      "record_id": "loan-origination-software|q3|Claude|2",
      "criterion_id": "affordable",
      "engine": "Claude",
      "question_id": "q3",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2110,
      "end": 2564,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "421cfa8e02fec48a348120aa70a8a9ab6eee802ac11d1ddd82f916675ca97ef6",
      "answer_sha256": "085913aed152f92d09b7edbce15fcbee20d3d37308f1ec7dc0fe3aa66575aaee",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "### 3. 🥉 **Calyx Point / Calyx Path** — *Best Budget-Friendly Legacy Option*\n\nCalyx Point is a long-standing LOS built for mortgage brokers and small lenders who need an affordable, reliable solution for residential lending. It offers both desktop (Point) and cloud-hosted (PointCentral) deployments, and with integrated tools like Calyx Zip and extensive third-party connectivity, it covers the essentials of mortgage origination at a competitive price.",
      "vendor_as_named": "Calyx Point",
      "vendor_normalized": "Calyx",
      "comparison_vendor": null
    },
    {
      "id": "3de2adf9898f43128f8c",
      "record_id": "loan-origination-software|q3|Claude|2",
      "criterion_id": "fit",
      "engine": "Claude",
      "question_id": "q3",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2884,
      "end": 3367,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "dabf6b4a2eee66e97c442e1e66d1b6945cc36bcd33629c1c56bc1910af2cb737",
      "answer_sha256": "085913aed152f92d09b7edbce15fcbee20d3d37308f1ec7dc0fe3aa66575aaee",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "### 4. **Jupiter** — *Best Free Option (Rocket Pro-Heavy Shops)*\n\nJupiter is free. Rocket Pro launched it with Lendesk in February 2026 for the broker network. If Rocket Pro takes a meaningful share of your submissions, that math is hard to argue with — offering one-click submission, no upfront cost on credit or DU/LPA, and you can still export a 1003 to any other lender.\n\n\n- **Best for:** Brokers who send a significant volume to Rocket Pro Wholesale and want zero software cost.",
      "vendor_as_named": "Jupiter",
      "vendor_normalized": "Jupiter",
      "comparison_vendor": null
    },
    {
      "id": "0da58b751b0e3567c66e",
      "record_id": "loan-origination-software|q3|Claude|2",
      "criterion_id": "affordable",
      "engine": "Claude",
      "question_id": "q3",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2884,
      "end": 3367,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "dabf6b4a2eee66e97c442e1e66d1b6945cc36bcd33629c1c56bc1910af2cb737",
      "answer_sha256": "085913aed152f92d09b7edbce15fcbee20d3d37308f1ec7dc0fe3aa66575aaee",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "### 4. **Jupiter** — *Best Free Option (Rocket Pro-Heavy Shops)*\n\nJupiter is free. Rocket Pro launched it with Lendesk in February 2026 for the broker network. If Rocket Pro takes a meaningful share of your submissions, that math is hard to argue with — offering one-click submission, no upfront cost on credit or DU/LPA, and you can still export a 1003 to any other lender.\n\n\n- **Best for:** Brokers who send a significant volume to Rocket Pro Wholesale and want zero software cost.",
      "vendor_as_named": "Jupiter",
      "vendor_normalized": "Jupiter",
      "comparison_vendor": null
    },
    {
      "id": "1823769a63d3f40eebe1",
      "record_id": "loan-origination-software|q3|Claude|2",
      "criterion_id": "lender_connections",
      "engine": "Claude",
      "question_id": "q3",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2884,
      "end": 3367,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "dabf6b4a2eee66e97c442e1e66d1b6945cc36bcd33629c1c56bc1910af2cb737",
      "answer_sha256": "085913aed152f92d09b7edbce15fcbee20d3d37308f1ec7dc0fe3aa66575aaee",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "### 4. **Jupiter** — *Best Free Option (Rocket Pro-Heavy Shops)*\n\nJupiter is free. Rocket Pro launched it with Lendesk in February 2026 for the broker network. If Rocket Pro takes a meaningful share of your submissions, that math is hard to argue with — offering one-click submission, no upfront cost on credit or DU/LPA, and you can still export a 1003 to any other lender.\n\n\n- **Best for:** Brokers who send a significant volume to Rocket Pro Wholesale and want zero software cost.",
      "vendor_as_named": "Jupiter",
      "vendor_normalized": "Jupiter",
      "comparison_vendor": null
    },
    {
      "id": "af42d65ef1930dd40397",
      "record_id": "loan-origination-software|q3|Google AI Mode|1",
      "criterion_id": "fit",
      "engine": "Google AI Mode",
      "question_id": "q3",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 445,
      "end": 1036,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "b5c9e2feaeb697537ead9f15ecfb30324c4e3dc77e393a3a2178ebbed005b1c2",
      "answer_sha256": "ac8753039181dd5854b36d12dc4315bc4f46caba405271f2965b35ffce976352",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "1. ARIVE (The All-In-One Disrupter)\nBest for: Solo brokers and small shops wanting an integrated pricing and submission engine.\nWhy it shines: ARIVE combines the LOS, Point-of-Sale (POS), and a native product and pricing engine (PPE) all under one roof. This means you can price a loan, run AUS, and submit directly to wholesale lenders without jumping between multiple disconnected systems. Community consensus among independent loan officers and broker forums heavily favors ARIVE for its modern user interface and massive time-savings on everyday tasks like ordering title or disclosures.",
      "vendor_as_named": "ARIVE",
      "vendor_normalized": "ARIVE",
      "comparison_vendor": null
    },
    {
      "id": "e711cdd0f8ea3b2c55d6",
      "record_id": "loan-origination-software|q3|Google AI Mode|1",
      "criterion_id": "fit",
      "engine": "Google AI Mode",
      "question_id": "q3",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1231,
      "end": 1784,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "2601672e56237a5078def81f0a79c2c8ba6a62eacfe1b86ab4934eba89a438c4",
      "answer_sha256": "ac8753039181dd5854b36d12dc4315bc4f46caba405271f2965b35ffce976352",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "2. LendingPad (The Collaborative Standard)\nBest for: Small shops with a tight-knit team of processors and LOs who need simultaneous file collaboration.\nWhy it shines: LendingPad is exceptionally user-friendly, cloud-based, and famous for allowing multiple team members (like a loan officer and a processor) to be in the exact same loan file at the exact same time without locking each other out or causing version control errors. It has transparent pricing, great customer support, and robust compliance tracking tailored to small-to-midsize operations.",
      "vendor_as_named": "LendingPad",
      "vendor_normalized": "LendingPad",
      "comparison_vendor": null
    },
    {
      "id": "bc11320665f7039e838f",
      "record_id": "loan-origination-software|q3|Google AI Mode|1",
      "criterion_id": "cloud",
      "engine": "Google AI Mode",
      "question_id": "q3",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1231,
      "end": 1784,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "2601672e56237a5078def81f0a79c2c8ba6a62eacfe1b86ab4934eba89a438c4",
      "answer_sha256": "ac8753039181dd5854b36d12dc4315bc4f46caba405271f2965b35ffce976352",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "2. LendingPad (The Collaborative Standard)\nBest for: Small shops with a tight-knit team of processors and LOs who need simultaneous file collaboration.\nWhy it shines: LendingPad is exceptionally user-friendly, cloud-based, and famous for allowing multiple team members (like a loan officer and a processor) to be in the exact same loan file at the exact same time without locking each other out or causing version control errors. It has transparent pricing, great customer support, and robust compliance tracking tailored to small-to-midsize operations.",
      "vendor_as_named": "LendingPad",
      "vendor_normalized": "LendingPad",
      "comparison_vendor": null
    },
    {
      "id": "4e7b28eab0305bd70a22",
      "record_id": "loan-origination-software|q3|Google AI Mode|3",
      "criterion_id": "fit",
      "engine": "Google AI Mode",
      "question_id": "q3",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 375,
      "end": 896,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "c06160c8cca56ab78031dd0bf0d52ef147e5cfd1738b40583b1973d621afb2c8",
      "answer_sha256": "44284b28e3f7f1f9db643146a61e81ffa02dd62d2859083e8d6b6eff9e0e73ef",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "ARIVE\nBest For: All-in-one efficiency and modern broker workflows.\nWhy it shines: ARIVE has taken the independent broker community by storm because it functions as an all-in-one platform—combining the LOS, CRM, pricing engine, and point-of-sale (POS) into a single system. For a small shop trying to avoid paying for 4 to 5 disparate software subscriptions, it drastically reduces duplicate data entry and streamlines ordering services (like title or credit). It is heavily optimized for broker-to-wholesaler connections.",
      "vendor_as_named": "ARIVE",
      "vendor_normalized": "ARIVE",
      "comparison_vendor": null
    },
    {
      "id": "bd1c1505fd9b10aa0458",
      "record_id": "loan-origination-software|q3|Google AI Mode|3",
      "criterion_id": "affordable",
      "engine": "Google AI Mode",
      "question_id": "q3",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 375,
      "end": 896,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "c06160c8cca56ab78031dd0bf0d52ef147e5cfd1738b40583b1973d621afb2c8",
      "answer_sha256": "44284b28e3f7f1f9db643146a61e81ffa02dd62d2859083e8d6b6eff9e0e73ef",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "ARIVE\nBest For: All-in-one efficiency and modern broker workflows.\nWhy it shines: ARIVE has taken the independent broker community by storm because it functions as an all-in-one platform—combining the LOS, CRM, pricing engine, and point-of-sale (POS) into a single system. For a small shop trying to avoid paying for 4 to 5 disparate software subscriptions, it drastically reduces duplicate data entry and streamlines ordering services (like title or credit). It is heavily optimized for broker-to-wholesaler connections.",
      "vendor_as_named": "ARIVE",
      "vendor_normalized": "ARIVE",
      "comparison_vendor": null
    },
    {
      "id": "d5db6a31b57e4dcb459a",
      "record_id": "loan-origination-software|q3|Google AI Mode|3",
      "criterion_id": "fit",
      "engine": "Google AI Mode",
      "question_id": "q3",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 897,
      "end": 1365,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "0d00fd11fea1afe2f1b2d9772084a9adef0995691a0c2f2c7388bb60aefe8f0c",
      "answer_sha256": "44284b28e3f7f1f9db643146a61e81ffa02dd62d2859083e8d6b6eff9e0e73ef",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "LendingPad\nBest For: Collaborative, cloud-based traditional broker workflows.\nWhy it shines: LendingPad is widely praised for its clean, modern cloud architecture, exceptional pipeline visibility, and seamless collaboration tools (great if you use third-party/contract processors or have a small in-house team). It has robust pricing, great security, and stellar customer support tailored to smaller footprint teams without the heavy enterprise bloat of ICE Encompass.",
      "vendor_as_named": "LendingPad",
      "vendor_normalized": "LendingPad",
      "comparison_vendor": null
    },
    {
      "id": "da78919a7d7a9c13785f",
      "record_id": "loan-origination-software|q3|Google AI Mode|3",
      "criterion_id": "cloud",
      "engine": "Google AI Mode",
      "question_id": "q3",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 897,
      "end": 1365,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "0d00fd11fea1afe2f1b2d9772084a9adef0995691a0c2f2c7388bb60aefe8f0c",
      "answer_sha256": "44284b28e3f7f1f9db643146a61e81ffa02dd62d2859083e8d6b6eff9e0e73ef",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "LendingPad\nBest For: Collaborative, cloud-based traditional broker workflows.\nWhy it shines: LendingPad is widely praised for its clean, modern cloud architecture, exceptional pipeline visibility, and seamless collaboration tools (great if you use third-party/contract processors or have a small in-house team). It has robust pricing, great security, and stellar customer support tailored to smaller footprint teams without the heavy enterprise bloat of ICE Encompass.",
      "vendor_as_named": "LendingPad",
      "vendor_normalized": "LendingPad",
      "comparison_vendor": null
    },
    {
      "id": "a4bb1ccf2f55636af75e",
      "record_id": "loan-origination-software|q3|Google AI Mode|3",
      "criterion_id": "fit",
      "engine": "Google AI Mode",
      "question_id": "q3",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1366,
      "end": 1758,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "a0379cccf0e65f3cfa9518ee53ec86626d0b125337dc332d59324435b05394d3",
      "answer_sha256": "44284b28e3f7f1f9db643146a61e81ffa02dd62d2859083e8d6b6eff9e0e73ef",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Calyx Point (or PointCentral)\nBest For: Tried-and-true, old-school reliability.\nWhy it shines: Calyx has been a staple in the broker community for decades. While its interface can feel dated compared to newer platforms, it is deeply familiar to many seasoned loan officers and processors. It offers flexible cloud or desktop hybrid hosting and a massive library of native vendor integrations.",
      "vendor_as_named": "Calyx Point",
      "vendor_normalized": "Calyx",
      "comparison_vendor": null
    },
    {
      "id": "0a8e50aa47095207f43a",
      "record_id": "loan-origination-software|q3|Google AI Mode|3",
      "criterion_id": "cloud",
      "engine": "Google AI Mode",
      "question_id": "q3",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1366,
      "end": 1758,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "a0379cccf0e65f3cfa9518ee53ec86626d0b125337dc332d59324435b05394d3",
      "answer_sha256": "44284b28e3f7f1f9db643146a61e81ffa02dd62d2859083e8d6b6eff9e0e73ef",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Calyx Point (or PointCentral)\nBest For: Tried-and-true, old-school reliability.\nWhy it shines: Calyx has been a staple in the broker community for decades. While its interface can feel dated compared to newer platforms, it is deeply familiar to many seasoned loan officers and processors. It offers flexible cloud or desktop hybrid hosting and a massive library of native vendor integrations.",
      "vendor_as_named": "Calyx Point",
      "vendor_normalized": "Calyx",
      "comparison_vendor": null
    },
    {
      "id": "b3ccdd2f772463527080",
      "record_id": "loan-origination-software|q7|Claude|1",
      "criterion_id": "fit",
      "engine": "Claude",
      "question_id": "q7",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 5072,
      "end": 5305,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "d832f523997825999fa0bc1ac4bca355d032f076eb90541c99077233d345ec7f",
      "answer_sha256": "2dbfe18b3226d1fa23ac946f209bed95b167addf2a1c6ab48650d5510c2eaed0",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- **Choose MeridianLink** if your community bank is primarily focused on **consumer and mortgage lending**, wants a **faster, more affordable** deployment, and values a platform built specifically for community FIs and credit unions.",
      "vendor_as_named": "MeridianLink",
      "vendor_normalized": "MeridianLink",
      "comparison_vendor": "MeridianLink"
    },
    {
      "id": "06bcf52455f492016b57",
      "record_id": "loan-origination-software|q7|Claude|1",
      "criterion_id": "fit",
      "engine": "Claude",
      "question_id": "q7",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 5306,
      "end": 5530,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "6ce04d4cf93d109aefc309b664600fdf943abaddf608b61b8200e718d5f5ee9a",
      "answer_sha256": "2dbfe18b3226d1fa23ac946f209bed95b167addf2a1c6ab48650d5510c2eaed0",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- **Choose nCino** if your bank is **commercial-lending heavy**, can absorb a longer implementation timeline and higher cost, and wants a deeply integrated end-to-end commercial origination and portfolio management platform.",
      "vendor_as_named": "nCino",
      "vendor_normalized": "nCino",
      "comparison_vendor": "nCino"
    },
    {
      "id": "bd2ebb1d859cfafa907b",
      "record_id": "loan-origination-software|q7|Claude|3",
      "criterion_id": "fit",
      "engine": "Claude",
      "question_id": "q7",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 4137,
      "end": 4273,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "0cfe416df3a88810bf123c054cfe77944fedc4c2a453a93347a08b687b31f2af",
      "answer_sha256": "d3dcdfbf2efa96458a34baeb5fd57b19070dbcd9e97b4a2f101ae7239714a90e",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- **Choose MeridianLink if...** your community bank is primarily focused on **consumer loans, mortgages, and deposit account opening**. ",
      "vendor_as_named": "MeridianLink",
      "vendor_normalized": "MeridianLink",
      "comparison_vendor": "MeridianLink"
    },
    {
      "id": "12409a1e3555afeadf97",
      "record_id": "loan-origination-software|q7|Claude|3",
      "criterion_id": "fit",
      "engine": "Claude",
      "question_id": "q7",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 4508,
      "end": 4683,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "383bbee4c517ab101665af0f4aec687ddd9302957ecba80c9202911703881216",
      "answer_sha256": "d3dcdfbf2efa96458a34baeb5fd57b19070dbcd9e97b4a2f101ae7239714a90e",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "- **Choose nCino if...** your bank is heavily focused on **commercial lending** and needs end-to-end pipeline management, underwriting, and portfolio monitoring in one place. ",
      "vendor_as_named": "nCino",
      "vendor_normalized": "nCino",
      "comparison_vendor": "nCino"
    },
    {
      "id": "558f36708e089fd2ef8b",
      "record_id": "loan-origination-software|q10|Claude|1",
      "criterion_id": "unified",
      "engine": "Claude",
      "question_id": "q10",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 500,
      "end": 757,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "26446ad0f92c0426a8e177c4af37f94a2377840295613229238b90b6e3ec0b0d",
      "answer_sha256": "4af4e40d2e6652388dadb05f6d42e441f88d0a8c269a0e33e8048b7ab1a0dc2f",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Onyx IQ is a full-cycle, automated lending platform built specifically for MCA, alternative lenders, and commercial funders. The platform unifies origination, underwriting, funding, servicing, collections, syndication, and portfolio reporting in one system.",
      "vendor_as_named": "Onyx IQ",
      "vendor_normalized": "Onyx IQ",
      "comparison_vendor": null
    },
    {
      "id": "966c96607a7ebda2c859",
      "record_id": "loan-origination-software|q10|Claude|1",
      "criterion_id": "underwrite",
      "engine": "Claude",
      "question_id": "q10",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 500,
      "end": 757,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "26446ad0f92c0426a8e177c4af37f94a2377840295613229238b90b6e3ec0b0d",
      "answer_sha256": "4af4e40d2e6652388dadb05f6d42e441f88d0a8c269a0e33e8048b7ab1a0dc2f",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Onyx IQ is a full-cycle, automated lending platform built specifically for MCA, alternative lenders, and commercial funders. The platform unifies origination, underwriting, funding, servicing, collections, syndication, and portfolio reporting in one system.",
      "vendor_as_named": "Onyx IQ",
      "vendor_normalized": "Onyx IQ",
      "comparison_vendor": null
    },
    {
      "id": "1dfc661531ae9b49c4ea",
      "record_id": "loan-origination-software|q10|Claude|1",
      "criterion_id": "funding_general",
      "engine": "Claude",
      "question_id": "q10",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 500,
      "end": 757,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "26446ad0f92c0426a8e177c4af37f94a2377840295613229238b90b6e3ec0b0d",
      "answer_sha256": "4af4e40d2e6652388dadb05f6d42e441f88d0a8c269a0e33e8048b7ab1a0dc2f",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Onyx IQ is a full-cycle, automated lending platform built specifically for MCA, alternative lenders, and commercial funders. The platform unifies origination, underwriting, funding, servicing, collections, syndication, and portfolio reporting in one system.",
      "vendor_as_named": "Onyx IQ",
      "vendor_normalized": "Onyx IQ",
      "comparison_vendor": null
    },
    {
      "id": "757b9849bc3112884fa1",
      "record_id": "loan-origination-software|q10|Claude|1",
      "criterion_id": "loan_servicing",
      "engine": "Claude",
      "question_id": "q10",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 500,
      "end": 757,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "26446ad0f92c0426a8e177c4af37f94a2377840295613229238b90b6e3ec0b0d",
      "answer_sha256": "4af4e40d2e6652388dadb05f6d42e441f88d0a8c269a0e33e8048b7ab1a0dc2f",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Onyx IQ is a full-cycle, automated lending platform built specifically for MCA, alternative lenders, and commercial funders. The platform unifies origination, underwriting, funding, servicing, collections, syndication, and portfolio reporting in one system.",
      "vendor_as_named": "Onyx IQ",
      "vendor_normalized": "Onyx IQ",
      "comparison_vendor": null
    },
    {
      "id": "91ab24f183100bf35da6",
      "record_id": "loan-origination-software|q10|Claude|1",
      "criterion_id": "unified",
      "engine": "Claude",
      "question_id": "q10",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1219,
      "end": 1480,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "ecb74f3d37b3cc12d4ccff29be81e4af1abae1b594cd04b12d7420ed4cdc2e7e",
      "answer_sha256": "4af4e40d2e6652388dadb05f6d42e441f88d0a8c269a0e33e8048b7ab1a0dc2f",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "nCino is a cloud-based banking platform built on Salesforce that supports commercial, small business, and mortgage lending workflows.\n It is a widely adopted enterprise solution for institutions that want to manage the full commercial loan lifecycle internally.",
      "vendor_as_named": "nCino",
      "vendor_normalized": "nCino",
      "comparison_vendor": "nCino"
    },
    {
      "id": "bd24902b84f34f4c2dd7",
      "record_id": "loan-origination-software|q10|Claude|1",
      "criterion_id": "unified",
      "engine": "Claude",
      "question_id": "q10",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1607,
      "end": 2083,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "dcde1726088b8627847b86b4385a8973a64886ab516afacf6a7972a2d22a4b47",
      "answer_sha256": "4af4e40d2e6652388dadb05f6d42e441f88d0a8c269a0e33e8048b7ab1a0dc2f",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Newgen Loan Origination Software, built on an AI-first low-code platform, provides an end-to-end lending ecosystem that accelerates every stage of the loan lifecycle. The platform connects customer onboarding, documentation, credit assessment, underwriting, decisioning, servicing, and collections on a unified platform. AI/ML automates income analysis, fraud checks, spreading, document classification, and portfolio insights, enabling faster, more accurate credit decisions.",
      "vendor_as_named": "Newgen Loan Origination Software",
      "vendor_normalized": "Newgen",
      "comparison_vendor": null
    },
    {
      "id": "779bda05434865fee893",
      "record_id": "loan-origination-software|q10|Claude|1",
      "criterion_id": "underwrite",
      "engine": "Claude",
      "question_id": "q10",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1607,
      "end": 2083,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "dcde1726088b8627847b86b4385a8973a64886ab516afacf6a7972a2d22a4b47",
      "answer_sha256": "4af4e40d2e6652388dadb05f6d42e441f88d0a8c269a0e33e8048b7ab1a0dc2f",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Newgen Loan Origination Software, built on an AI-first low-code platform, provides an end-to-end lending ecosystem that accelerates every stage of the loan lifecycle. The platform connects customer onboarding, documentation, credit assessment, underwriting, decisioning, servicing, and collections on a unified platform. AI/ML automates income analysis, fraud checks, spreading, document classification, and portfolio insights, enabling faster, more accurate credit decisions.",
      "vendor_as_named": "Newgen Loan Origination Software",
      "vendor_normalized": "Newgen",
      "comparison_vendor": null
    },
    {
      "id": "b18776152b2b55b24648",
      "record_id": "loan-origination-software|q10|Claude|1",
      "criterion_id": "loan_servicing",
      "engine": "Claude",
      "question_id": "q10",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1607,
      "end": 2083,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "dcde1726088b8627847b86b4385a8973a64886ab516afacf6a7972a2d22a4b47",
      "answer_sha256": "4af4e40d2e6652388dadb05f6d42e441f88d0a8c269a0e33e8048b7ab1a0dc2f",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Newgen Loan Origination Software, built on an AI-first low-code platform, provides an end-to-end lending ecosystem that accelerates every stage of the loan lifecycle. The platform connects customer onboarding, documentation, credit assessment, underwriting, decisioning, servicing, and collections on a unified platform. AI/ML automates income analysis, fraud checks, spreading, document classification, and portfolio insights, enabling faster, more accurate credit decisions.",
      "vendor_as_named": "Newgen Loan Origination Software",
      "vendor_normalized": "Newgen",
      "comparison_vendor": null
    },
    {
      "id": "240e298d7ee6d943dbc4",
      "record_id": "loan-origination-software|q10|Claude|1",
      "criterion_id": "unified",
      "engine": "Claude",
      "question_id": "q10",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2860,
      "end": 3265,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "cc1407150529631451dab20ba86f687795752ce3f521ed3050145441e639875a",
      "answer_sha256": "4af4e40d2e6652388dadb05f6d42e441f88d0a8c269a0e33e8048b7ab1a0dc2f",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Modern commercial lending platforms like HES LoanBox cover digital onboarding with KYB and document intake, credit decisioning and underwriting on complex financials, servicing of facilities like term loans, lines of credit, and CRE deals, and collections or workout when borrowers run into trouble — built for institutions running serious commercial books without stitching together five point solutions.",
      "vendor_as_named": "HES LoanBox",
      "vendor_normalized": "HES LoanBox",
      "comparison_vendor": null
    },
    {
      "id": "ee3fe500ef567ec44ae6",
      "record_id": "loan-origination-software|q10|Claude|1",
      "criterion_id": "underwrite",
      "engine": "Claude",
      "question_id": "q10",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2860,
      "end": 3265,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "cc1407150529631451dab20ba86f687795752ce3f521ed3050145441e639875a",
      "answer_sha256": "4af4e40d2e6652388dadb05f6d42e441f88d0a8c269a0e33e8048b7ab1a0dc2f",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Modern commercial lending platforms like HES LoanBox cover digital onboarding with KYB and document intake, credit decisioning and underwriting on complex financials, servicing of facilities like term loans, lines of credit, and CRE deals, and collections or workout when borrowers run into trouble — built for institutions running serious commercial books without stitching together five point solutions.",
      "vendor_as_named": "HES LoanBox",
      "vendor_normalized": "HES LoanBox",
      "comparison_vendor": null
    },
    {
      "id": "558f1c19bf7794e79659",
      "record_id": "loan-origination-software|q10|Claude|1",
      "criterion_id": "loan_servicing",
      "engine": "Claude",
      "question_id": "q10",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2860,
      "end": 3265,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "cc1407150529631451dab20ba86f687795752ce3f521ed3050145441e639875a",
      "answer_sha256": "4af4e40d2e6652388dadb05f6d42e441f88d0a8c269a0e33e8048b7ab1a0dc2f",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Modern commercial lending platforms like HES LoanBox cover digital onboarding with KYB and document intake, credit decisioning and underwriting on complex financials, servicing of facilities like term loans, lines of credit, and CRE deals, and collections or workout when borrowers run into trouble — built for institutions running serious commercial books without stitching together five point solutions.",
      "vendor_as_named": "HES LoanBox",
      "vendor_normalized": "HES LoanBox",
      "comparison_vendor": null
    },
    {
      "id": "a3af2265b729e7f52a9b",
      "record_id": "loan-origination-software|q10|Claude|1",
      "criterion_id": "unified",
      "engine": "Claude",
      "question_id": "q10",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3273,
      "end": 3881,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "4b73415cd5036a349c0f8135def3b84adc1bb10483d4372c5e98e990ef555c52",
      "answer_sha256": "4af4e40d2e6652388dadb05f6d42e441f88d0a8c269a0e33e8048b7ab1a0dc2f",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "### 6. 🔷 **FIS Commercial Loan Origination**\n**Best for: Lenders seeking an integrated front-to-back-office suite**\n\n\nFIS® Commercial Loan Origination helps improve customer engagement, risk analysis, and profitability optimization throughout the credit lifecycle. It is a highly configurable platform that gives lenders the ability to attract customers with a truly modern and digital experience.\n \nIt can be used as a standalone solution or as part of the FIS Commercial Lending Suite, an integrated front-to-back-office solution with built-in workflow and analytics for the entire commercial loan process.",
      "vendor_as_named": "FIS Commercial Loan Origination",
      "vendor_normalized": "FIS",
      "comparison_vendor": null
    },
    {
      "id": "a5715b7bfc04cda9ac40",
      "record_id": "loan-origination-software|q10|Claude|1",
      "criterion_id": "underwrite",
      "engine": "Claude",
      "question_id": "q10",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3996,
      "end": 4348,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "af8af717ffe432fddc573f552d5f9ee90ece86feeb8ae7ab71f3793999249105",
      "answer_sha256": "4af4e40d2e6652388dadb05f6d42e441f88d0a8c269a0e33e8048b7ab1a0dc2f",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "TIMVERO is a modular loan origination and management platform aimed at banks, credit unions, and fintech lenders that need configurable underwriting, workflow/BPM, and analytics. It's pitched as a flexible alternative to monolithic LOS suites, letting lenders pick modules (origination, underwriting, servicing, analytics) that match their product mix.",
      "vendor_as_named": "TIMVERO",
      "vendor_normalized": "timveroOS",
      "comparison_vendor": null
    },
    {
      "id": "01e22119efe90c36a1db",
      "record_id": "loan-origination-software|q10|Claude|1",
      "criterion_id": "loan_servicing",
      "engine": "Claude",
      "question_id": "q10",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3996,
      "end": 4348,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "af8af717ffe432fddc573f552d5f9ee90ece86feeb8ae7ab71f3793999249105",
      "answer_sha256": "4af4e40d2e6652388dadb05f6d42e441f88d0a8c269a0e33e8048b7ab1a0dc2f",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "TIMVERO is a modular loan origination and management platform aimed at banks, credit unions, and fintech lenders that need configurable underwriting, workflow/BPM, and analytics. It's pitched as a flexible alternative to monolithic LOS suites, letting lenders pick modules (origination, underwriting, servicing, analytics) that match their product mix.",
      "vendor_as_named": "TIMVERO",
      "vendor_normalized": "timveroOS",
      "comparison_vendor": null
    },
    {
      "id": "854e9a7a067e22be82bb",
      "record_id": "loan-origination-software|q10|Claude|2",
      "criterion_id": "loan_types",
      "engine": "Claude",
      "question_id": "q10",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 449,
      "end": 582,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "be8496a8138347c8b82f3a934c7116fa4340881b0e4195e5328cda98b3d263a5",
      "answer_sha256": "b16c0bcb71122e2c3434351c984bfbcfe2c492ac2fb0b6d5a6a284b3910814a3",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "nCino is a cloud-based banking platform built on Salesforce that supports commercial, small business, and mortgage lending workflows.",
      "vendor_as_named": "nCino",
      "vendor_normalized": "nCino",
      "comparison_vendor": "nCino"
    },
    {
      "id": "d0259094b2df8eb2e4fa",
      "record_id": "loan-origination-software|q10|Claude|2",
      "criterion_id": "unified",
      "engine": "Claude",
      "question_id": "q10",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 822,
      "end": 1079,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "26446ad0f92c0426a8e177c4af37f94a2377840295613229238b90b6e3ec0b0d",
      "answer_sha256": "b16c0bcb71122e2c3434351c984bfbcfe2c492ac2fb0b6d5a6a284b3910814a3",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Onyx IQ is a full-cycle, automated lending platform built specifically for MCA, alternative lenders, and commercial funders. The platform unifies origination, underwriting, funding, servicing, collections, syndication, and portfolio reporting in one system.",
      "vendor_as_named": "Onyx IQ",
      "vendor_normalized": "Onyx IQ",
      "comparison_vendor": null
    },
    {
      "id": "d8ad0d101f3b22cc4e3e",
      "record_id": "loan-origination-software|q10|Claude|2",
      "criterion_id": "underwrite",
      "engine": "Claude",
      "question_id": "q10",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 822,
      "end": 1079,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "26446ad0f92c0426a8e177c4af37f94a2377840295613229238b90b6e3ec0b0d",
      "answer_sha256": "b16c0bcb71122e2c3434351c984bfbcfe2c492ac2fb0b6d5a6a284b3910814a3",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Onyx IQ is a full-cycle, automated lending platform built specifically for MCA, alternative lenders, and commercial funders. The platform unifies origination, underwriting, funding, servicing, collections, syndication, and portfolio reporting in one system.",
      "vendor_as_named": "Onyx IQ",
      "vendor_normalized": "Onyx IQ",
      "comparison_vendor": null
    },
    {
      "id": "cc6f63648178599b2728",
      "record_id": "loan-origination-software|q10|Claude|2",
      "criterion_id": "funding_general",
      "engine": "Claude",
      "question_id": "q10",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 822,
      "end": 1079,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "26446ad0f92c0426a8e177c4af37f94a2377840295613229238b90b6e3ec0b0d",
      "answer_sha256": "b16c0bcb71122e2c3434351c984bfbcfe2c492ac2fb0b6d5a6a284b3910814a3",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Onyx IQ is a full-cycle, automated lending platform built specifically for MCA, alternative lenders, and commercial funders. The platform unifies origination, underwriting, funding, servicing, collections, syndication, and portfolio reporting in one system.",
      "vendor_as_named": "Onyx IQ",
      "vendor_normalized": "Onyx IQ",
      "comparison_vendor": null
    },
    {
      "id": "44d56823db353857ac8c",
      "record_id": "loan-origination-software|q10|Claude|2",
      "criterion_id": "portfolio_management",
      "engine": "Claude",
      "question_id": "q10",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 822,
      "end": 1079,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "26446ad0f92c0426a8e177c4af37f94a2377840295613229238b90b6e3ec0b0d",
      "answer_sha256": "b16c0bcb71122e2c3434351c984bfbcfe2c492ac2fb0b6d5a6a284b3910814a3",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Onyx IQ is a full-cycle, automated lending platform built specifically for MCA, alternative lenders, and commercial funders. The platform unifies origination, underwriting, funding, servicing, collections, syndication, and portfolio reporting in one system.",
      "vendor_as_named": "Onyx IQ",
      "vendor_normalized": "Onyx IQ",
      "comparison_vendor": null
    },
    {
      "id": "ec4afe31d9f7fbfa217b",
      "record_id": "loan-origination-software|q10|Claude|2",
      "criterion_id": "loan_types",
      "engine": "Claude",
      "question_id": "q10",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1320,
      "end": 1438,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "2992591ebf7a3716037ef2f6e278363e6e0fb86bcc67ffa99e47e1219a836cee",
      "answer_sha256": "b16c0bcb71122e2c3434351c984bfbcfe2c492ac2fb0b6d5a6a284b3910814a3",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Onyx IQ runs MCA and commercial term loan products (SBA, commercial mortgage, equipment finance) on the same platform.",
      "vendor_as_named": "Onyx IQ",
      "vendor_normalized": "Onyx IQ",
      "comparison_vendor": null
    },
    {
      "id": "303be4cdb260a306821f",
      "record_id": "loan-origination-software|q10|Claude|2",
      "criterion_id": "unified",
      "engine": "Claude",
      "question_id": "q10",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1493,
      "end": 2010,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "c53903cf48b6b340f901a7548cd19b60e91547edaaa587b4e5dcbae29c38145b",
      "answer_sha256": "b16c0bcb71122e2c3434351c984bfbcfe2c492ac2fb0b6d5a6a284b3910814a3",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Newgen Loan Origination Software, built on an AI-first low-code platform, provides an end-to-end lending ecosystem. The platform connects customer onboarding, documentation, credit assessment, underwriting, decisioning, servicing, and collections on a unified platform. AI/ML automates income analysis, fraud checks, spreading, document classification, and portfolio insights. Built for retail, SME, commercial, CRE, C&I, and SBA loans, it adapts to complex policies, changing regulations, and multi-entity workflows.",
      "vendor_as_named": "Newgen Loan Origination Software",
      "vendor_normalized": "Newgen",
      "comparison_vendor": null
    },
    {
      "id": "5cdffb7a112e95baba20",
      "record_id": "loan-origination-software|q10|Claude|2",
      "criterion_id": "underwrite",
      "engine": "Claude",
      "question_id": "q10",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1493,
      "end": 2010,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "c53903cf48b6b340f901a7548cd19b60e91547edaaa587b4e5dcbae29c38145b",
      "answer_sha256": "b16c0bcb71122e2c3434351c984bfbcfe2c492ac2fb0b6d5a6a284b3910814a3",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Newgen Loan Origination Software, built on an AI-first low-code platform, provides an end-to-end lending ecosystem. The platform connects customer onboarding, documentation, credit assessment, underwriting, decisioning, servicing, and collections on a unified platform. AI/ML automates income analysis, fraud checks, spreading, document classification, and portfolio insights. Built for retail, SME, commercial, CRE, C&I, and SBA loans, it adapts to complex policies, changing regulations, and multi-entity workflows.",
      "vendor_as_named": "Newgen Loan Origination Software",
      "vendor_normalized": "Newgen",
      "comparison_vendor": null
    },
    {
      "id": "b3fd5802d2091e83a55b",
      "record_id": "loan-origination-software|q10|Claude|2",
      "criterion_id": "loan_types",
      "engine": "Claude",
      "question_id": "q10",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1493,
      "end": 2010,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "c53903cf48b6b340f901a7548cd19b60e91547edaaa587b4e5dcbae29c38145b",
      "answer_sha256": "b16c0bcb71122e2c3434351c984bfbcfe2c492ac2fb0b6d5a6a284b3910814a3",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Newgen Loan Origination Software, built on an AI-first low-code platform, provides an end-to-end lending ecosystem. The platform connects customer onboarding, documentation, credit assessment, underwriting, decisioning, servicing, and collections on a unified platform. AI/ML automates income analysis, fraud checks, spreading, document classification, and portfolio insights. Built for retail, SME, commercial, CRE, C&I, and SBA loans, it adapts to complex policies, changing regulations, and multi-entity workflows.",
      "vendor_as_named": "Newgen Loan Origination Software",
      "vendor_normalized": "Newgen",
      "comparison_vendor": null
    },
    {
      "id": "7a52c416e98589c36046",
      "record_id": "loan-origination-software|q10|Claude|2",
      "criterion_id": "loan_types",
      "engine": "Claude",
      "question_id": "q10",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2651,
      "end": 2887,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "de33a42442f9b1675ae9968856fa535e0b998b45fe6a6e97333753f13b28fcb3",
      "answer_sha256": "b16c0bcb71122e2c3434351c984bfbcfe2c492ac2fb0b6d5a6a284b3910814a3",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Nortridge Software's Nortridge Loan System supports term loans, LOC, equipment financing, CRE loans, SBA loans, and asset-based lending. It targets community, regional, and large banks and includes repayment restructuring and reporting.",
      "vendor_as_named": "Nortridge",
      "vendor_normalized": "Nortridge",
      "comparison_vendor": null
    },
    {
      "id": "4caa864537a4783dfb5d",
      "record_id": "loan-origination-software|q10|Claude|2",
      "criterion_id": "unified",
      "engine": "Claude",
      "question_id": "q10",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3110,
      "end": 3512,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "a8653720d96ff0b2f01c2a0e21b886c16996aa439a9985321ce82cb58bb93373",
      "answer_sha256": "b16c0bcb71122e2c3434351c984bfbcfe2c492ac2fb0b6d5a6a284b3910814a3",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Modern commercial lending platforms cover digital onboarding with KYB and document intake, credit decisioning and underwriting on complex financials, servicing of facilities like term loans, lines of credit, and CRE deals, and collections or workout when borrowers run into trouble. HES LoanBox is built for institutions running serious commercial books without stitching together five point solutions.",
      "vendor_as_named": "HES LoanBox",
      "vendor_normalized": "HES LoanBox",
      "comparison_vendor": null
    },
    {
      "id": "822540440a5849bdfb9e",
      "record_id": "loan-origination-software|q10|Claude|2",
      "criterion_id": "underwrite",
      "engine": "Claude",
      "question_id": "q10",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3110,
      "end": 3512,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "a8653720d96ff0b2f01c2a0e21b886c16996aa439a9985321ce82cb58bb93373",
      "answer_sha256": "b16c0bcb71122e2c3434351c984bfbcfe2c492ac2fb0b6d5a6a284b3910814a3",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Modern commercial lending platforms cover digital onboarding with KYB and document intake, credit decisioning and underwriting on complex financials, servicing of facilities like term loans, lines of credit, and CRE deals, and collections or workout when borrowers run into trouble. HES LoanBox is built for institutions running serious commercial books without stitching together five point solutions.",
      "vendor_as_named": "HES LoanBox",
      "vendor_normalized": "HES LoanBox",
      "comparison_vendor": null
    },
    {
      "id": "8bd5f6ccabbcb370ad68",
      "record_id": "loan-origination-software|q10|Claude|2",
      "criterion_id": "loan_types",
      "engine": "Claude",
      "question_id": "q10",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3110,
      "end": 3512,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "a8653720d96ff0b2f01c2a0e21b886c16996aa439a9985321ce82cb58bb93373",
      "answer_sha256": "b16c0bcb71122e2c3434351c984bfbcfe2c492ac2fb0b6d5a6a284b3910814a3",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Modern commercial lending platforms cover digital onboarding with KYB and document intake, credit decisioning and underwriting on complex financials, servicing of facilities like term loans, lines of credit, and CRE deals, and collections or workout when borrowers run into trouble. HES LoanBox is built for institutions running serious commercial books without stitching together five point solutions.",
      "vendor_as_named": "HES LoanBox",
      "vendor_normalized": "HES LoanBox",
      "comparison_vendor": null
    },
    {
      "id": "204d0ccfc91216cef927",
      "record_id": "loan-origination-software|q10|Claude|2",
      "criterion_id": "unified",
      "engine": "Claude",
      "question_id": "q10",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3879,
      "end": 4234,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "c81f600955e4a31991bddc6f0d342e88c7a763613e385ce29f362aca9c4642d1",
      "answer_sha256": "b16c0bcb71122e2c3434351c984bfbcfe2c492ac2fb0b6d5a6a284b3910814a3",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "timveroOS is ideal for private lenders, hard-money shops, funds/REITs, and municipal or specialty lenders that need integrated origination, servicing, and investor/fund management. It is pitched as a flexible alternative to monolithic LOS suites, letting lenders pick modules (origination, underwriting, servicing, analytics) that match their product mix.",
      "vendor_as_named": "timveroOS",
      "vendor_normalized": "timveroOS",
      "comparison_vendor": null
    },
    {
      "id": "ed8cbe2d19713256dca4",
      "record_id": "loan-origination-software|q10|Claude|2",
      "criterion_id": "underwrite",
      "engine": "Claude",
      "question_id": "q10",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3879,
      "end": 4234,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "c81f600955e4a31991bddc6f0d342e88c7a763613e385ce29f362aca9c4642d1",
      "answer_sha256": "b16c0bcb71122e2c3434351c984bfbcfe2c492ac2fb0b6d5a6a284b3910814a3",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "timveroOS is ideal for private lenders, hard-money shops, funds/REITs, and municipal or specialty lenders that need integrated origination, servicing, and investor/fund management. It is pitched as a flexible alternative to monolithic LOS suites, letting lenders pick modules (origination, underwriting, servicing, analytics) that match their product mix.",
      "vendor_as_named": "timveroOS",
      "vendor_normalized": "timveroOS",
      "comparison_vendor": null
    },
    {
      "id": "99dfcf2eff73851e8b00",
      "record_id": "loan-origination-software|q10|Claude|2",
      "criterion_id": "unified",
      "engine": "Claude",
      "question_id": "q10",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 4389,
      "end": 4793,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "b278d14bcd9bf59e544ea829710382648c53faa609769d54214410c6e1e73c07",
      "answer_sha256": "b16c0bcb71122e2c3434351c984bfbcfe2c492ac2fb0b6d5a6a284b3910814a3",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "### 8. 🔶 **FIS Commercial Loan Origination**\n\nFIS® Commercial Loan Origination helps improve customer engagement, risk analysis, and profitability optimization throughout the credit life cycle.\n \nIt can be used as a standalone solution or as part of the FIS Commercial Lending Suite, an integrated front-to-back-office solution with built-in workflow and analytics for the entire commercial loan process.",
      "vendor_as_named": "FIS Commercial Loan Origination",
      "vendor_normalized": "FIS",
      "comparison_vendor": null
    },
    {
      "id": "c64033f995c94a72ab8c",
      "record_id": "loan-origination-software|q10|Claude|3",
      "criterion_id": "unified",
      "engine": "Claude",
      "question_id": "q10",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 476,
      "end": 798,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "f38c085fd974e9be99149fa7c34e8152e42a18f69e6fe679729a441aba08ab9b",
      "answer_sha256": "1cd6ab91334eac873d1fa7b48b5812f2abcdf0265deeea05bf8a2bdb43e5464b",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "nCino brings commercial lending into a broader commercial banking platform, connecting origination and underwriting with customer onboarding and portfolio management. Its commercial lending capabilities include automated workflows, credit analysis and financial spreading, covenant notifications, and portfolio management.",
      "vendor_as_named": "nCino",
      "vendor_normalized": "nCino",
      "comparison_vendor": "nCino"
    },
    {
      "id": "6d07c02fec5506e40188",
      "record_id": "loan-origination-software|q10|Claude|3",
      "criterion_id": "underwrite",
      "engine": "Claude",
      "question_id": "q10",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 476,
      "end": 798,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "f38c085fd974e9be99149fa7c34e8152e42a18f69e6fe679729a441aba08ab9b",
      "answer_sha256": "1cd6ab91334eac873d1fa7b48b5812f2abcdf0265deeea05bf8a2bdb43e5464b",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "nCino brings commercial lending into a broader commercial banking platform, connecting origination and underwriting with customer onboarding and portfolio management. Its commercial lending capabilities include automated workflows, credit analysis and financial spreading, covenant notifications, and portfolio management.",
      "vendor_as_named": "nCino",
      "vendor_normalized": "nCino",
      "comparison_vendor": "nCino"
    },
    {
      "id": "5833951008b33e0faab7",
      "record_id": "loan-origination-software|q10|Claude|3",
      "criterion_id": "underwrite",
      "engine": "Claude",
      "question_id": "q10",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1340,
      "end": 1878,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "d283d983b556dad53387e178f3edf5589e6f2877872d56c44f949fe94bbdf817",
      "answer_sha256": "1cd6ab91334eac873d1fa7b48b5812f2abcdf0265deeea05bf8a2bdb43e5464b",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "### 2. **Abrigo** *(Best for Community Banks & Credit Unions Doing Commercial Lending)*\n\nAbrigo targets community banks and credit unions making commercial and SMB loans. Its LOS workflow covers spreading financials, covenant tracking, collateral management, and credit memo generation — the capabilities that generic consumer LOS platforms skip entirely.\n\n\n\nAbrigo's strength is credit analysis depth. Underwriters get tools for analyzing business tax returns, debt service coverage ratios, and global cash flow across multiple entities.",
      "vendor_as_named": "Abrigo",
      "vendor_normalized": "Abrigo",
      "comparison_vendor": "Abrigo"
    },
    {
      "id": "27e2989cad73cbfc34ab",
      "record_id": "loan-origination-software|q10|Claude|3",
      "criterion_id": "unified",
      "engine": "Claude",
      "question_id": "q10",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2232,
      "end": 2777,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "fde4ffc4076a7ecf7440ae2e7e042ed48bcb16ade3343346594500903ac9c6f6",
      "answer_sha256": "1cd6ab91334eac873d1fa7b48b5812f2abcdf0265deeea05bf8a2bdb43e5464b",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "LendFoundry's commercial lending software is designed to automate the commercial loan lifecycle from origination through servicing. The platform supports term loans, lines of credit, merchant cash advances, and SBA loans, with configurable workflows and an API-based architecture.\n\n\n\nIts capabilities include business application and lead management, business identity verification, credit and fraud checks, automated and manual underwriting, document management, **funding**, task management, audit trails, collections, and portfolio workflows.",
      "vendor_as_named": "LendFoundry",
      "vendor_normalized": "LendFoundry",
      "comparison_vendor": null
    },
    {
      "id": "65e0be849db03ef1bcc7",
      "record_id": "loan-origination-software|q10|Claude|3",
      "criterion_id": "underwrite",
      "engine": "Claude",
      "question_id": "q10",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2232,
      "end": 2777,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "fde4ffc4076a7ecf7440ae2e7e042ed48bcb16ade3343346594500903ac9c6f6",
      "answer_sha256": "1cd6ab91334eac873d1fa7b48b5812f2abcdf0265deeea05bf8a2bdb43e5464b",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "LendFoundry's commercial lending software is designed to automate the commercial loan lifecycle from origination through servicing. The platform supports term loans, lines of credit, merchant cash advances, and SBA loans, with configurable workflows and an API-based architecture.\n\n\n\nIts capabilities include business application and lead management, business identity verification, credit and fraud checks, automated and manual underwriting, document management, **funding**, task management, audit trails, collections, and portfolio workflows.",
      "vendor_as_named": "LendFoundry",
      "vendor_normalized": "LendFoundry",
      "comparison_vendor": null
    },
    {
      "id": "e8bee495afbea18d64d7",
      "record_id": "loan-origination-software|q10|Claude|3",
      "criterion_id": "unified",
      "engine": "Claude",
      "question_id": "q10",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3173,
      "end": 3746,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "4fd4ec6a110645a5f5896ccfa88686f07c1a6cb6b0e07bbf5e364df77c70457a",
      "answer_sha256": "1cd6ab91334eac873d1fa7b48b5812f2abcdf0265deeea05bf8a2bdb43e5464b",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Finastra Loan IQ is a commercial loan servicing platform designed to help financial institutions manage the full lifecycle of lending, from origination intake through servicing, trading, settlement, and closure within one system. It is best for large banks and financial institutions handling syndicated, commercial, and corporate lending, where complex deal structures, servicing depth, and regulatory control are key priorities.\n\n\n\nIt handles multi-lender structures, structured finance, and advanced pricing models, including multi-tranche and multi-currency facilities.",
      "vendor_as_named": "Finastra Loan IQ",
      "vendor_normalized": "Finastra",
      "comparison_vendor": null
    },
    {
      "id": "b72d2597e52b858e1556",
      "record_id": "loan-origination-software|q10|Claude|3",
      "criterion_id": "complex_structures",
      "engine": "Claude",
      "question_id": "q10",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3173,
      "end": 3746,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "4fd4ec6a110645a5f5896ccfa88686f07c1a6cb6b0e07bbf5e364df77c70457a",
      "answer_sha256": "1cd6ab91334eac873d1fa7b48b5812f2abcdf0265deeea05bf8a2bdb43e5464b",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Finastra Loan IQ is a commercial loan servicing platform designed to help financial institutions manage the full lifecycle of lending, from origination intake through servicing, trading, settlement, and closure within one system. It is best for large banks and financial institutions handling syndicated, commercial, and corporate lending, where complex deal structures, servicing depth, and regulatory control are key priorities.\n\n\n\nIt handles multi-lender structures, structured finance, and advanced pricing models, including multi-tranche and multi-currency facilities.",
      "vendor_as_named": "Finastra Loan IQ",
      "vendor_normalized": "Finastra",
      "comparison_vendor": null
    },
    {
      "id": "128d6d7df78930b32b8b",
      "record_id": "loan-origination-software|q10|Claude|3",
      "criterion_id": "unified",
      "engine": "Claude",
      "question_id": "q10",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3817,
      "end": 4227,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "ce869bd45c7fc91c6f2ae4829cd2f2b52889b152b2e6c416282bd59f9b973dd2",
      "answer_sha256": "1cd6ab91334eac873d1fa7b48b5812f2abcdf0265deeea05bf8a2bdb43e5464b",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "HES LoanBox is a modern, AI-powered LOS designed for lenders that need a fully customizable, end-to-end lending platform. It offers advanced credit decisioning, a modular architecture, and the ability to tailor every component — from workflows onward.\n\n\n\nHES LoanBox delivers maximum flexibility with configurable engines, AI decisioning, and fixed subscription pricing (unlimited users/products/applications).",
      "vendor_as_named": "HES LoanBox",
      "vendor_normalized": "HES LoanBox",
      "comparison_vendor": null
    },
    {
      "id": "25cdfb73f7a94282a901",
      "record_id": "loan-origination-software|q10|Claude|3",
      "criterion_id": "underwrite",
      "engine": "Claude",
      "question_id": "q10",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3817,
      "end": 4227,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "ce869bd45c7fc91c6f2ae4829cd2f2b52889b152b2e6c416282bd59f9b973dd2",
      "answer_sha256": "1cd6ab91334eac873d1fa7b48b5812f2abcdf0265deeea05bf8a2bdb43e5464b",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "HES LoanBox is a modern, AI-powered LOS designed for lenders that need a fully customizable, end-to-end lending platform. It offers advanced credit decisioning, a modular architecture, and the ability to tailor every component — from workflows onward.\n\n\n\nHES LoanBox delivers maximum flexibility with configurable engines, AI decisioning, and fixed subscription pricing (unlimited users/products/applications).",
      "vendor_as_named": "HES LoanBox",
      "vendor_normalized": "HES LoanBox",
      "comparison_vendor": null
    },
    {
      "id": "1bb710a317b9f008a48f",
      "record_id": "loan-origination-software|q10|Claude|3",
      "criterion_id": "credit_config",
      "engine": "Claude",
      "question_id": "q10",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 3817,
      "end": 4227,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "ce869bd45c7fc91c6f2ae4829cd2f2b52889b152b2e6c416282bd59f9b973dd2",
      "answer_sha256": "1cd6ab91334eac873d1fa7b48b5812f2abcdf0265deeea05bf8a2bdb43e5464b",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "HES LoanBox is a modern, AI-powered LOS designed for lenders that need a fully customizable, end-to-end lending platform. It offers advanced credit decisioning, a modular architecture, and the ability to tailor every component — from workflows onward.\n\n\n\nHES LoanBox delivers maximum flexibility with configurable engines, AI decisioning, and fixed subscription pricing (unlimited users/products/applications).",
      "vendor_as_named": "HES LoanBox",
      "vendor_normalized": "HES LoanBox",
      "comparison_vendor": null
    },
    {
      "id": "19f042b3f2238f6584fe",
      "record_id": "loan-origination-software|q10|Claude|3",
      "criterion_id": "funding_general",
      "engine": "Claude",
      "question_id": "q10",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 4358,
      "end": 4435,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "6fbe951eb6a6fbe6e4647442cc584900e41140184d3fa32d3b979b3442af6b84",
      "answer_sha256": "1cd6ab91334eac873d1fa7b48b5812f2abcdf0265deeea05bf8a2bdb43e5464b",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "| **nCino** | Regional/large banks | ✅ Strong | CRE, SBA, bridge, equipment |",
      "vendor_as_named": "nCino",
      "vendor_normalized": "nCino",
      "comparison_vendor": "nCino"
    },
    {
      "id": "0f5ea6b5760674af73b0",
      "record_id": "loan-origination-software|q10|Claude|3",
      "criterion_id": "funding_general",
      "engine": "Claude",
      "question_id": "q10",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 4436,
      "end": 4522,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "4b1cfd8ec563fce8e5209c55c992ad8c0e479ca45acb863d0daa9e25b3be07cc",
      "answer_sha256": "1cd6ab91334eac873d1fa7b48b5812f2abcdf0265deeea05bf8a2bdb43e5464b",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "| **Abrigo** | Community banks/CUs | ✅ Strong | CRE, SBA, equipment, working capital |",
      "vendor_as_named": "Abrigo",
      "vendor_normalized": "Abrigo",
      "comparison_vendor": "Abrigo"
    },
    {
      "id": "ede233bc614830ba3b5c",
      "record_id": "loan-origination-software|q10|Claude|3",
      "criterion_id": "funding_general",
      "engine": "Claude",
      "question_id": "q10",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 4523,
      "end": 4637,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "038c916ea0d50b21774a48cc102ff82fd31271e35f04b7aaa89c546b8c45876c",
      "answer_sha256": "1cd6ab91334eac873d1fa7b48b5812f2abcdf0265deeea05bf8a2bdb43e5464b",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "| **LendFoundry** | Digital/specialty lenders | ✅ Explicit funding workflows | MCA, hard money, SBA, alternative |",
      "vendor_as_named": "LendFoundry",
      "vendor_normalized": "LendFoundry",
      "comparison_vendor": null
    },
    {
      "id": "5f1ac2ac3988fa0b5a7e",
      "record_id": "loan-origination-software|q10|Claude|3",
      "criterion_id": "funding_general",
      "engine": "Claude",
      "question_id": "q10",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 4638,
      "end": 4742,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "6bf73920576a26d47155dfe9fa2a608ac741fe0b8d29550011d25d85d0853cae",
      "answer_sha256": "1cd6ab91334eac873d1fa7b48b5812f2abcdf0265deeea05bf8a2bdb43e5464b",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "| **Finastra Loan IQ** | Large/enterprise banks | ✅ Full lifecycle | Syndicated, corporate, structured |",
      "vendor_as_named": "Finastra Loan IQ",
      "vendor_normalized": "Finastra",
      "comparison_vendor": null
    },
    {
      "id": "bea8f209a53f4edd4c7f",
      "record_id": "loan-origination-software|q10|Claude|3",
      "criterion_id": "funding_general",
      "engine": "Claude",
      "question_id": "q10",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 4743,
      "end": 4823,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "a34c0590a244accfc78bdb97510afa7935e7a4b6ce893b582a6c0f4336b2c335",
      "answer_sha256": "1cd6ab91334eac873d1fa7b48b5812f2abcdf0265deeea05bf8a2bdb43e5464b",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "| **HES LoanBox** | Multi-product lenders | ✅ Configurable | All product types |",
      "vendor_as_named": "HES LoanBox",
      "vendor_normalized": "HES LoanBox",
      "comparison_vendor": null
    },
    {
      "id": "650f6bcdc585c0d544e0",
      "record_id": "loan-origination-software|q10|Google AI Mode|2",
      "criterion_id": "unified",
      "engine": "Google AI Mode",
      "question_id": "q10",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 465,
      "end": 804,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "feff25bdf8d21b311493a6136c582a643f07e5de6884d00af13e5353c74fe8a6",
      "answer_sha256": "6d2964e1c79b9412298ab118f266ec118868a9bb450aadbdff4da8cee1f0f00f",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "LoanPro: Best suited for customized business lending and modern, transparent core loan operations. It is a API-first, highly flexible platform that combines robust origination tracking with a core servicing ledger, making it ideal for in-house portfolio lenders who fund directly and want real-time visibility into active book performance.",
      "vendor_as_named": "LoanPro",
      "vendor_normalized": "LoanPro",
      "comparison_vendor": null
    },
    {
      "id": "6d9e444d9bfbee7aa721",
      "record_id": "loan-origination-software|q10|Google AI Mode|2",
      "criterion_id": "workflow_config",
      "engine": "Google AI Mode",
      "question_id": "q10",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 805,
      "end": 1096,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "ef9c70e28e46c43a7e3b81aff92ab8f9b6d1e3efe09210b59398ddfa8679cbbb",
      "answer_sha256": "6d2964e1c79b9412298ab118f266ec118868a9bb450aadbdff4da8cee1f0f00f",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Nortridge: Best suited for complex loan servicing and specialty lending programs. Nortridge excels when loans deviate from standard out-of-the-box guidelines, offering immense customizability in defining unique credit structures, repayment schedules, and in-house asset management workflows.",
      "vendor_as_named": "Nortridge",
      "vendor_normalized": "Nortridge",
      "comparison_vendor": null
    },
    {
      "id": "d9e22f5c74b575c1a7ea",
      "record_id": "loan-origination-software|q10|Google AI Mode|2",
      "criterion_id": "complex_structures",
      "engine": "Google AI Mode",
      "question_id": "q10",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 805,
      "end": 1096,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "ef9c70e28e46c43a7e3b81aff92ab8f9b6d1e3efe09210b59398ddfa8679cbbb",
      "answer_sha256": "6d2964e1c79b9412298ab118f266ec118868a9bb450aadbdff4da8cee1f0f00f",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Nortridge: Best suited for complex loan servicing and specialty lending programs. Nortridge excels when loans deviate from standard out-of-the-box guidelines, offering immense customizability in defining unique credit structures, repayment schedules, and in-house asset management workflows.",
      "vendor_as_named": "Nortridge",
      "vendor_normalized": "Nortridge",
      "comparison_vendor": null
    },
    {
      "id": "51e028cc795e80a50033",
      "record_id": "loan-origination-software|q10|Google AI Mode|2",
      "criterion_id": "portfolio_management",
      "engine": "Google AI Mode",
      "question_id": "q10",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 805,
      "end": 1096,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "ef9c70e28e46c43a7e3b81aff92ab8f9b6d1e3efe09210b59398ddfa8679cbbb",
      "answer_sha256": "6d2964e1c79b9412298ab118f266ec118868a9bb450aadbdff4da8cee1f0f00f",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Nortridge: Best suited for complex loan servicing and specialty lending programs. Nortridge excels when loans deviate from standard out-of-the-box guidelines, offering immense customizability in defining unique credit structures, repayment schedules, and in-house asset management workflows.",
      "vendor_as_named": "Nortridge",
      "vendor_normalized": "Nortridge",
      "comparison_vendor": null
    },
    {
      "id": "1203251627ace121fe48",
      "record_id": "loan-origination-software|q10|Google AI Mode|2",
      "criterion_id": "unified",
      "engine": "Google AI Mode",
      "question_id": "q10",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1097,
      "end": 1409,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "9dda50b916b4f523d29f88478feba37db85a37115d20faa4beee255cbd9addee",
      "answer_sha256": "6d2964e1c79b9412298ab118f266ec118868a9bb450aadbdff4da8cee1f0f00f",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "TurnKey Lender: Best suited for automated, AI-driven decisioning across alternative commercial and specialty finance products. It provides an end-to-end digital automation suite that handles application intake, custom credit scoring, origination, and post-funding management for non-traditional business lending.",
      "vendor_as_named": "TurnKey Lender",
      "vendor_normalized": "TurnKey Lender",
      "comparison_vendor": null
    },
    {
      "id": "d1cb12e98c02ec43abbe",
      "record_id": "loan-origination-software|q10|Google AI Mode|2",
      "criterion_id": "portfolio_management",
      "engine": "Google AI Mode",
      "question_id": "q10",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1097,
      "end": 1409,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "9dda50b916b4f523d29f88478feba37db85a37115d20faa4beee255cbd9addee",
      "answer_sha256": "6d2964e1c79b9412298ab118f266ec118868a9bb450aadbdff4da8cee1f0f00f",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "TurnKey Lender: Best suited for automated, AI-driven decisioning across alternative commercial and specialty finance products. It provides an end-to-end digital automation suite that handles application intake, custom credit scoring, origination, and post-funding management for non-traditional business lending.",
      "vendor_as_named": "TurnKey Lender",
      "vendor_normalized": "TurnKey Lender",
      "comparison_vendor": null
    },
    {
      "id": "33ed4e0e90fcb5caa6fb",
      "record_id": "loan-origination-software|q10|Google AI Mode|3",
      "criterion_id": "unified",
      "engine": "Google AI Mode",
      "question_id": "q10",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 378,
      "end": 704,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "2229c0d5acd9cf9867eca749afff2dbeb0dbf10a3765499ff5a3a2dece179db9",
      "answer_sha256": "329d113776c9b7c8ba8583e2c68bdd04babf2044dd4108f0b1cb9d0a41fd913d",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "LoanPro:\nBest For: End-to-end modern, API-first lending.\nWhy it fits: It seamlessly bridges loan origination with in-house loan servicing, collections, and automated payment processing. Its granular configurability lets you design custom specialty asset classes, alternative underwriting rules, and unique repayment schedules.",
      "vendor_as_named": "LoanPro",
      "vendor_normalized": "LoanPro",
      "comparison_vendor": null
    },
    {
      "id": "edff7daaea1fbe96fab5",
      "record_id": "loan-origination-software|q10|Google AI Mode|3",
      "criterion_id": "system_config",
      "engine": "Google AI Mode",
      "question_id": "q10",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 378,
      "end": 704,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "2229c0d5acd9cf9867eca749afff2dbeb0dbf10a3765499ff5a3a2dece179db9",
      "answer_sha256": "329d113776c9b7c8ba8583e2c68bdd04babf2044dd4108f0b1cb9d0a41fd913d",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "LoanPro:\nBest For: End-to-end modern, API-first lending.\nWhy it fits: It seamlessly bridges loan origination with in-house loan servicing, collections, and automated payment processing. Its granular configurability lets you design custom specialty asset classes, alternative underwriting rules, and unique repayment schedules.",
      "vendor_as_named": "LoanPro",
      "vendor_normalized": "LoanPro",
      "comparison_vendor": null
    },
    {
      "id": "57b5051a2f6a3e451eb2",
      "record_id": "loan-origination-software|q10|Google AI Mode|3",
      "criterion_id": "unified",
      "engine": "Google AI Mode",
      "question_id": "q10",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 705,
      "end": 1032,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "ca7c8777e08f188fa4dd181a9b3ef73c19684a284629afb4a7a88baaf7ef9b6a",
      "answer_sha256": "329d113776c9b7c8ba8583e2c68bdd04babf2044dd4108f0b1cb9d0a41fd913d",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "TurnKey Lender:\nBest For: Automated commercial and specialty finance with proprietary AI decisioning.\nWhy it fits: It features a robust commercial lending automation suite that handles everything from custom firmographic data intake and risk scoring to automated document generation, e-signing, and internal portfolio tracking.",
      "vendor_as_named": "TurnKey Lender",
      "vendor_normalized": "TurnKey Lender",
      "comparison_vendor": null
    },
    {
      "id": "7a5832b077a21e448c15",
      "record_id": "loan-origination-software|q10|Google AI Mode|3",
      "criterion_id": "unified",
      "engine": "Google AI Mode",
      "question_id": "q10",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1033,
      "end": 1398,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "b04a2e220d3e8ba1784d49008a1da8de7fb74228d26184511dc7544e491db85d",
      "answer_sha256": "329d113776c9b7c8ba8583e2c68bdd04babf2044dd4108f0b1cb9d0a41fd913d",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Cync Software (Cync LOS):\nBest For: Asset-based and commercial lenders needing rapid, no-code workflow adjustments.\nWhy it fits: It provides a unified portfolio management system that transitions smoothly from origination straight into in-house monitoring—including native tools for covenant tracking, risk-rating scorecards, and custom microservice configurations.",
      "vendor_as_named": "Cync Software",
      "vendor_normalized": "Cync Software",
      "comparison_vendor": null
    },
    {
      "id": "0e737a661085eae67fec",
      "record_id": "loan-origination-software|q10|Google AI Mode|3",
      "criterion_id": "system_config",
      "engine": "Google AI Mode",
      "question_id": "q10",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1033,
      "end": 1398,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "b04a2e220d3e8ba1784d49008a1da8de7fb74228d26184511dc7544e491db85d",
      "answer_sha256": "329d113776c9b7c8ba8583e2c68bdd04babf2044dd4108f0b1cb9d0a41fd913d",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Cync Software (Cync LOS):\nBest For: Asset-based and commercial lenders needing rapid, no-code workflow adjustments.\nWhy it fits: It provides a unified portfolio management system that transitions smoothly from origination straight into in-house monitoring—including native tools for covenant tracking, risk-rating scorecards, and custom microservice configurations.",
      "vendor_as_named": "Cync Software",
      "vendor_normalized": "Cync Software",
      "comparison_vendor": null
    },
    {
      "id": "39ee636be3035c61baed",
      "record_id": "loan-origination-software|q10|Google AI Overviews|1",
      "criterion_id": "api_general",
      "engine": "Google AI Overviews",
      "question_id": "q10",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 407,
      "end": 814,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "0f80977af0ae1f17216643bebe522dc71ac2d7239564a144e46dff8d8f1d3c49",
      "answer_sha256": "dc0e772a591cbb9478487aac38b302ac943647a49dfad3d2364b2719e9aebedb",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "If your \"specialty\" loans include non-traditional assets or structures (such as asset-based lending, equipment leases, receivables factoring, merchant cash advances, or unique lines of credit), LoanPro is highly recommended. It is an API-first platform built specifically for high configurability, allowing you to design custom loan logic, interest reserves, and unique payment schedules entirely in-house .",
      "vendor_as_named": "LoanPro",
      "vendor_normalized": "LoanPro",
      "comparison_vendor": null
    },
    {
      "id": "b133526dce25e7280b7b",
      "record_id": "loan-origination-software|q10|Google AI Overviews|1",
      "criterion_id": "credit_config",
      "engine": "Google AI Overviews",
      "question_id": "q10",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 407,
      "end": 814,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "0f80977af0ae1f17216643bebe522dc71ac2d7239564a144e46dff8d8f1d3c49",
      "answer_sha256": "dc0e772a591cbb9478487aac38b302ac943647a49dfad3d2364b2719e9aebedb",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "If your \"specialty\" loans include non-traditional assets or structures (such as asset-based lending, equipment leases, receivables factoring, merchant cash advances, or unique lines of credit), LoanPro is highly recommended. It is an API-first platform built specifically for high configurability, allowing you to design custom loan logic, interest reserves, and unique payment schedules entirely in-house .",
      "vendor_as_named": "LoanPro",
      "vendor_normalized": "LoanPro",
      "comparison_vendor": null
    },
    {
      "id": "3c03c797803e95125bcc",
      "record_id": "loan-origination-software|q10|Google AI Overviews|1",
      "criterion_id": "complex_structures",
      "engine": "Google AI Overviews",
      "question_id": "q10",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 407,
      "end": 814,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "0f80977af0ae1f17216643bebe522dc71ac2d7239564a144e46dff8d8f1d3c49",
      "answer_sha256": "dc0e772a591cbb9478487aac38b302ac943647a49dfad3d2364b2719e9aebedb",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "If your \"specialty\" loans include non-traditional assets or structures (such as asset-based lending, equipment leases, receivables factoring, merchant cash advances, or unique lines of credit), LoanPro is highly recommended. It is an API-first platform built specifically for high configurability, allowing you to design custom loan logic, interest reserves, and unique payment schedules entirely in-house .",
      "vendor_as_named": "LoanPro",
      "vendor_normalized": "LoanPro",
      "comparison_vendor": null
    },
    {
      "id": "aa6da840b1dba5fcf6a7",
      "record_id": "loan-origination-software|q10|Google AI Overviews|1",
      "criterion_id": "underwrite",
      "engine": "Google AI Overviews",
      "question_id": "q10",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 874,
      "end": 1315,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "9fe1be378ae9da77b1637f1bdf7ab81f8f9efeb9e1f04e83b73b33d8f4c085cf",
      "answer_sha256": "dc0e772a591cbb9478487aac38b302ac943647a49dfad3d2364b2719e9aebedb",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "For institutional-grade commercial lending, nCino is the market leader. Built natively on Salesforce, it provides robust workflows for complex commercial transactions, including automated financial spreading, credit analysis, covenant notifications, and commercial real estate (CRE) analysis. It unifies the front, middle, and back offices, making it perfect for lenders with large in-house balance sheets who need rigorous risk management .",
      "vendor_as_named": "nCino",
      "vendor_normalized": "nCino",
      "comparison_vendor": "nCino"
    },
    {
      "id": "2d4a7537a3bfe4f3c62a",
      "record_id": "loan-origination-software|q10|Google AI Overviews|1",
      "criterion_id": "financial_spreading",
      "engine": "Google AI Overviews",
      "question_id": "q10",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 874,
      "end": 1315,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "9fe1be378ae9da77b1637f1bdf7ab81f8f9efeb9e1f04e83b73b33d8f4c085cf",
      "answer_sha256": "dc0e772a591cbb9478487aac38b302ac943647a49dfad3d2364b2719e9aebedb",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "For institutional-grade commercial lending, nCino is the market leader. Built natively on Salesforce, it provides robust workflows for complex commercial transactions, including automated financial spreading, credit analysis, covenant notifications, and commercial real estate (CRE) analysis. It unifies the front, middle, and back offices, making it perfect for lenders with large in-house balance sheets who need rigorous risk management .",
      "vendor_as_named": "nCino",
      "vendor_normalized": "nCino",
      "comparison_vendor": "nCino"
    },
    {
      "id": "3d121a6521a5ea51a111",
      "record_id": "loan-origination-software|q10|Google AI Overviews|1",
      "criterion_id": "credit_config",
      "engine": "Google AI Overviews",
      "question_id": "q10",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1383,
      "end": 1742,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "a1f84aabf3f347e5283042e5d67cce53ae5d48331e06237d49b3c049e7aaa152",
      "answer_sha256": "dc0e772a591cbb9478487aac38b302ac943647a49dfad3d2364b2719e9aebedb",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "HES LoanBox (by HES FinTech) is an end-to-end modular platform that bridges alternative/specialty lending with traditional commercial lending. It features a low-code UI and configurable decision rules, and it is a preferred option for multi-product lenders that want the option of source-code ownership to keep their technological ecosystem entirely in-house.",
      "vendor_as_named": "HES LoanBox",
      "vendor_normalized": "HES LoanBox",
      "comparison_vendor": null
    },
    {
      "id": "6ff0e0805b6a14e0c1fb",
      "record_id": "loan-origination-software|q10|Google AI Overviews|1",
      "criterion_id": "underwrite",
      "engine": "Google AI Overviews",
      "question_id": "q10",
      "run": 1,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 2687,
      "end": 2840,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "864d1e649b576ee253503b50753f1e976666f3fea6b6c454f200b06030640577",
      "answer_sha256": "dc0e772a591cbb9478487aac38b302ac943647a49dfad3d2364b2719e9aebedb",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "TurnKey Lender | Quick-to-market alternative commercial and private lending. | Out-of-the-box AI underwriting engine and 30-second automated decisioning.",
      "vendor_as_named": "TurnKey Lender",
      "vendor_normalized": "TurnKey Lender",
      "comparison_vendor": null
    },
    {
      "id": "83e73f6f9426264e1c75",
      "record_id": "loan-origination-software|q10|Google AI Overviews|3",
      "criterion_id": "system_config",
      "engine": "Google AI Overviews",
      "question_id": "q10",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 499,
      "end": 959,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "32ddf4c158e8831944e3a4f98b28c30f5e78cbecd66d6dd3cd62a503b36003da",
      "answer_sha256": "9cb21ab6c2341c4cdf3797e85968278514b20e524c5654251a9f70a0180045b5",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "If your \"specialty\" lending includes unique payment structures like merchant cash advances (MCAs), equipment leasing, factoring, or asset-based lines of credit, LoanPro is highly effective.\nWhy it fits: It is an API-first platform built specifically to move away from rigid loan structures. It lets in-house teams build custom credit programs, handle multi-borrower corporate entities, manage collateral tracking, and configure complex interest reserve rules .",
      "vendor_as_named": "LoanPro",
      "vendor_normalized": "LoanPro",
      "comparison_vendor": null
    },
    {
      "id": "52714d1c9192caf8f20b",
      "record_id": "loan-origination-software|q10|Google AI Overviews|3",
      "criterion_id": "corporate_entities",
      "engine": "Google AI Overviews",
      "question_id": "q10",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 499,
      "end": 959,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "32ddf4c158e8831944e3a4f98b28c30f5e78cbecd66d6dd3cd62a503b36003da",
      "answer_sha256": "9cb21ab6c2341c4cdf3797e85968278514b20e524c5654251a9f70a0180045b5",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "If your \"specialty\" lending includes unique payment structures like merchant cash advances (MCAs), equipment leasing, factoring, or asset-based lines of credit, LoanPro is highly effective.\nWhy it fits: It is an API-first platform built specifically to move away from rigid loan structures. It lets in-house teams build custom credit programs, handle multi-borrower corporate entities, manage collateral tracking, and configure complex interest reserve rules .",
      "vendor_as_named": "LoanPro",
      "vendor_normalized": "LoanPro",
      "comparison_vendor": null
    },
    {
      "id": "259157a3d99a75effffb",
      "record_id": "loan-origination-software|q10|Google AI Overviews|3",
      "criterion_id": "portfolio_management",
      "engine": "Google AI Overviews",
      "question_id": "q10",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1213,
      "end": 1492,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "4c898414536e0a80e83f76e2f1ec28604ea6097b5991f7caa7882e4cc505906a",
      "answer_sha256": "9cb21ab6c2341c4cdf3797e85968278514b20e524c5654251a9f70a0180045b5",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Why it fits: Built natively on Salesforce, nCino excels at heavy-duty credit underwriting . It automates financial spreading, net operating income (NOI) calculations, rent rolls, and complex covenant tracking—which are essential for protecting balance-sheet capital post-closing.",
      "vendor_as_named": "nCino",
      "vendor_normalized": "nCino",
      "comparison_vendor": "nCino"
    },
    {
      "id": "189961d62effdde3ff8e",
      "record_id": "loan-origination-software|q10|Google AI Overviews|3",
      "criterion_id": "system_config",
      "engine": "Google AI Overviews",
      "question_id": "q10",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1725,
      "end": 1947,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "b107b25dc3ac8d2126dbe40ae2723439b0c49e3129ee90ea3b94a90b441d1397",
      "answer_sha256": "9cb21ab6c2341c4cdf3797e85968278514b20e524c5654251a9f70a0180045b5",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Vergent LMS: Purpose-built to span the bridge between commercial lending and flexible private specialty finance . It handles non-standard multi-borrower payment schedules without requiring custom source-code modifications.",
      "vendor_as_named": "Vergent LMS",
      "vendor_normalized": "Vergent LMS",
      "comparison_vendor": null
    },
    {
      "id": "afbf0c06de4aa53d6d12",
      "record_id": "loan-origination-software|q9|Google AI Mode|3",
      "criterion_id": "automation",
      "engine": "Google AI Mode",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1529,
      "end": 1646,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "da9554a548678fdade05749023b3a4c8d4dafa21c483b2c735484f9ad9fce671",
      "answer_sha256": "094287078947d55a553675552caf2be2a8e4d21b02428691d717eac82696a1fe",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "ICE Mortgage Technology Encompass | Mortgage Lenders | Industry standard for end-to-end mortgage workflow automation.",
      "vendor_as_named": "ICE Mortgage Technology",
      "vendor_normalized": "ICE Mortgage Technology",
      "comparison_vendor": "ICE Mortgage Technology"
    },
    {
      "id": "8fc7ea728073c207db7f",
      "record_id": "loan-origination-software|q9|Google AI Mode|3",
      "criterion_id": "connected_data",
      "engine": "Google AI Mode",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1765,
      "end": 1872,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "74053e2894199bca6b02a3393e8810ed6c8987d23faf5ce3f0244894921dca17",
      "answer_sha256": "094287078947d55a553675552caf2be2a8e4d21b02428691d717eac82696a1fe",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "LoanPro | Modern Lending & Servicing | Unified primary database combining origination and active servicing.",
      "vendor_as_named": "LoanPro",
      "vendor_normalized": "LoanPro",
      "comparison_vendor": null
    },
    {
      "id": "cf8de7b514b9a55c797b",
      "record_id": "loan-origination-software|q9|Google AI Mode|3",
      "criterion_id": "automation",
      "engine": "Google AI Mode",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1873,
      "end": 1998,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "0af5a6e1032110d20adc93c111bebfa38b6699f87b1bcb841a974a2648d831d2",
      "answer_sha256": "094287078947d55a553675552caf2be2a8e4d21b02428691d717eac82696a1fe",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "MeridianLink | Credit Unions & Community Banks | Consumer and mortgage lending automation with strong credit reporting links.",
      "vendor_as_named": "MeridianLink",
      "vendor_normalized": "MeridianLink",
      "comparison_vendor": "MeridianLink"
    },
    {
      "id": "3711173d00a34a63a675",
      "record_id": "loan-origination-software|q9|Google AI Mode|3",
      "criterion_id": "borrower_usable",
      "engine": "Google AI Mode",
      "question_id": "q9",
      "run": 3,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1999,
      "end": 2082,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "93b064a88f3b1f3a376d3a4aaf7fb330896d427272765c271668c831b016da74",
      "answer_sha256": "094287078947d55a553675552caf2be2a8e4d21b02428691d717eac82696a1fe",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "Blend | Digital-first Lenders | Exceptional consumer-facing digital application UX.",
      "vendor_as_named": "Blend",
      "vendor_normalized": "Blend",
      "comparison_vendor": null
    },
    {
      "id": "a89d7fe68f7cb94c07d2",
      "record_id": "loan-origination-software|q9|Google AI Overviews|2",
      "criterion_id": "credit_decisions",
      "engine": "Google AI Overviews",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1211,
      "end": 1281,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "e31d9595c421878452df558d607834d5e4c4f7d75379c26c5e52f63c0a459192",
      "answer_sha256": "77d71ce5c7a2347782f0cf8bd1c6ae3fc1def16324f04f689cc58113234bb925",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "MeridianLink | Multi-product Portfolios | Integrated decisioning tools",
      "vendor_as_named": "MeridianLink",
      "vendor_normalized": "MeridianLink",
      "comparison_vendor": "MeridianLink"
    },
    {
      "id": "7a0868c2b14b5b94919a",
      "record_id": "loan-origination-software|q9|Google AI Overviews|2",
      "criterion_id": "credit_decisions",
      "engine": "Google AI Overviews",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1282,
      "end": 1349,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "df4404b119402d48739082d36a3075625db96d210a5f4319890feda3cd735cb5",
      "answer_sha256": "77d71ce5c7a2347782f0cf8bd1c6ae3fc1def16324f04f689cc58113234bb925",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "TurnKey Lender | Automated Decisioning | AI-driven credit workflows",
      "vendor_as_named": "TurnKey Lender",
      "vendor_normalized": "TurnKey Lender",
      "comparison_vendor": null
    },
    {
      "id": "8d297e32657a542e968a",
      "record_id": "loan-origination-software|q9|Google AI Overviews|2",
      "criterion_id": "automation",
      "engine": "Google AI Overviews",
      "question_id": "q9",
      "run": 2,
      "captured_at": "2026-09-22T23:32:39.111Z",
      "start": 1282,
      "end": 1349,
      "sources": [],
      "source_state": "no source shown",
      "quote_sha256": "df4404b119402d48739082d36a3075625db96d210a5f4319890feda3cd735cb5",
      "answer_sha256": "77d71ce5c7a2347782f0cf8bd1c6ae3fc1def16324f04f689cc58113234bb925",
      "source_doi": "10.5281/zenodo.22907695",
      "source_asset_url": "https://zenodo.org/api/records/22907695/files/answers-2026-09.jsonl/content",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "quote": "TurnKey Lender | Automated Decisioning | AI-driven credit workflows",
      "vendor_as_named": "TurnKey Lender",
      "vendor_normalized": "TurnKey Lender",
      "comparison_vendor": null
    }
  ],
  "vendor_pages": [
    {
      "vendor": "nCino",
      "criterion_id": "fit",
      "canonical": "Fit with the lender’s stated products and operating needs",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": "Named products and audiences do not establish fit to the actual lender’s operations.",
      "display_label": "Fit with the lender’s stated products and operating needs",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": "Named products and audiences do not establish fit to the actual lender’s operations.",
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "compliance",
      "canonical": "Applicable lending and jurisdictional compliance controls",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Applicable lending and jurisdictional compliance controls",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "Stay ready for every exam. nCino lending covers CECL, HMDA, TRID, fair lending, and BSA/AML, with audit trails maintained across the loan lifecycle so your examination record is always at hand.",
          "start": 6341,
          "end": 6534,
          "quote_sha256": "6f51d1d5eb090a05e2d6332048684258cbefdd11224f2b844c0ef769f543ec18"
        }
      ]
    },
    {
      "vendor": "nCino",
      "criterion_id": "workflow_config",
      "canonical": "Configurable lending workflows",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": "A product or workspace is configurable; configurable lending workflow scope is not established.",
      "display_label": "Configurable lending workflows",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": "A product or workspace is configurable; configurable lending workflow scope is not established.",
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "totalcost",
      "canonical": "Full total cost of ownership",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": "Product or package information is present; full ownership costs are not supplied.",
      "display_label": "Full total cost of ownership",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": "Product or package information is present; full ownership costs are not supplied.",
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "activity_logs",
      "canonical": "Application and activity audit logs",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Application and activity audit logs",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "Stay ready for every exam. nCino lending covers CECL, HMDA, TRID, fair lending, and BSA/AML, with audit trails maintained across the loan lifecycle so your examination record is always at hand.",
          "start": 6341,
          "end": 6534,
          "quote_sha256": "6f51d1d5eb090a05e2d6332048684258cbefdd11224f2b844c0ef769f543ec18"
        }
      ]
    },
    {
      "vendor": "nCino",
      "criterion_id": "integration_general",
      "canonical": "Connections with the lender’s existing systems",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Connections with the lender’s existing systems",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "Connect to the systems you already run. nCino integrates with leading cores, mortgage systems, and dealer platforms, with Integration Gateway for anything custom.",
          "start": 6152,
          "end": 6314,
          "quote_sha256": "ab136bf1c686bf9c6f78ef7fa91b4cb7055575444b035ac06d53dc2124748cf9"
        }
      ]
    },
    {
      "vendor": "nCino",
      "criterion_id": "underwrite",
      "canonical": "Underwriting and credit assessment support",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": "Decisions and risk are discussed; actual underwriting support is not fully described.",
      "display_label": "Underwriting and credit assessment support",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": "Decisions and risk are discussed; actual underwriting support is not fully described.",
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "automation",
      "canonical": "Automation of repetitive loan processing work",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Automation of repetitive loan processing work",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "Run the whole credit lifecycle in one place, from origination through years of portfolio management. Embedded AI and automation take on the routine and surface risk early, so your lenders focus on relationships and credit decisions that grow the portfolio.",
          "start": 1705,
          "end": 1961,
          "quote_sha256": "7cc3dc970da9456660acb52ebb0a688592f8971e4d6263b32beb357277cb9717"
        }
      ]
    },
    {
      "vendor": "nCino",
      "criterion_id": "nocode",
      "canonical": "Configuration without extensive custom programming",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": "Configuration or automation is mentioned; freedom from extensive custom programming is not established.",
      "display_label": "Configuration without extensive custom programming",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": "Configuration or automation is mentioned; freedom from extensive custom programming is not established.",
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "volume_growth",
      "canonical": "Growth in lending volumes",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Growth in lending volumes",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "Your teams handle more volume as you grow, backed by benchmarking and analytics across the entire lifecycle.",
          "start": 1269,
          "end": 1377,
          "quote_sha256": "dadd7e5ca9c9530f3a5668517eb24ac2a588e2e1f27be23655ff194eb646eb8a"
        }
      ]
    },
    {
      "vendor": "nCino",
      "criterion_id": "core_connections",
      "canonical": "Core banking connections",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Core banking connections",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "Connect to the systems you already run. nCino integrates with leading cores, mortgage systems, and dealer platforms, with Integration Gateway for anything custom.",
          "start": 6152,
          "end": 6314,
          "quote_sha256": "ab136bf1c686bf9c6f78ef7fa91b4cb7055575444b035ac06d53dc2124748cf9"
        }
      ]
    },
    {
      "vendor": "nCino",
      "criterion_id": "cloud",
      "canonical": "Cloud based infrastructure",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Cloud based infrastructure",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "unified",
      "canonical": "Connected lending lifecycle from application to funding or servicing",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Connected lending lifecycle from application to funding or servicing",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "Data flows from application through funding without re-entry",
          "start": 3553,
          "end": 3613,
          "quote_sha256": "4c69666401d6525531cacb88e544b542a063b345f6faf576a0d87adc306a0ad5"
        }
      ]
    },
    {
      "vendor": "nCino",
      "criterion_id": "bureau_connections",
      "canonical": "Credit bureau connections",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Credit bureau connections",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "encrypt",
      "canonical": "Data encryption",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Data encryption",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "intake",
      "canonical": "Digital loan application intake",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Digital loan application intake",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "An end-to-end, AI-powered mortgage experience built for your market and channels — borrower, loan officer or broker. Automate processing, reduce errors, and give borrowers the fast, digital-first journey they expect from application through completion.",
          "start": 2524,
          "end": 2776,
          "quote_sha256": "e491999f12db51334f529eaa4b3861d38413ecd21f52d9f5b612415920014332"
        }
      ]
    },
    {
      "vendor": "nCino",
      "criterion_id": "verification_connections",
      "canonical": "Identity, fraud, income or asset verification connections",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Identity, fraud, income or asset verification connections",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "multi_channel",
      "canonical": "Digital and assisted origination channels",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Digital and assisted origination channels",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "An end-to-end, AI-powered mortgage experience built for your market and channels — borrower, loan officer or broker. Automate processing, reduce errors, and give borrowers the fast, digital-first journey they expect from application through completion.",
          "start": 2524,
          "end": 2776,
          "quote_sha256": "e491999f12db51334f529eaa4b3861d38413ecd21f52d9f5b612415920014332"
        }
      ]
    },
    {
      "vendor": "nCino",
      "criterion_id": "usable",
      "canonical": "Ease of use for borrowers and lending staff",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": "Borrower or staff ease is discussed; ease for both groups together is not established.",
      "display_label": "Ease of use for borrowers and lending staff",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": "Borrower or staff ease is discussed; ease for both groups together is not established.",
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "funding_general",
      "canonical": "Loan funding workflows",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": "Origination-to-funding flow is mentioned; funding workflows are not described.",
      "display_label": "Loan funding workflows",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": "Origination to funding flow is mentioned; funding workflows are not described.",
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "decision_rules",
      "canonical": "Rules-based decisioning",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": "Automated decisions are mentioned; a rules engine is not established.",
      "display_label": "Rules based decisioning",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": "Automated decisions are mentioned; a rules engine is not established.",
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "integrate",
      "canonical": "Working core banking, bureau and business system connections",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": "Some integrations are named; working core banking, bureau and business connections together are not established.",
      "display_label": "Working core banking, bureau and business system connections",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": "Some integrations are named; working core banking, bureau and business connections together are not established.",
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "system_config",
      "canonical": "Configurable system functionality",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Configurable system functionality",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "architecture",
      "canonical": "Deployment architecture suited to IT and data requirements",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": "This is a buyer-specific architectural choice, priority or system-boundary requirement. The saved page cannot settle it for the buyer.",
      "display_label": "Deployment architecture suited to IT and data requirements",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": "This is a buyer specific architectural choice, priority or system boundary requirement. The saved page cannot settle it for the buyer.",
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "borrower_usable",
      "canonical": "Ease of use for borrowers",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Ease of use for borrowers",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "staff_usable",
      "canonical": "Ease of use for lending staff",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Ease of use for lending staff",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "reg_updates",
      "canonical": "Ongoing regulatory updates",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Ongoing regulatory updates",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "Deepen member engagement and adapt quickly to market shifts while keeping service personal, with a one-stop experience that streamlines lending and keeps you compliant as regulations evolve.",
          "start": 4502,
          "end": 4692,
          "quote_sha256": "420eb0d200a3b8ef37a9a5c4f5b5dfb84efc927adab0bcf8f87931728145afbb"
        }
      ]
    },
    {
      "vendor": "nCino",
      "criterion_id": "performance",
      "canonical": "Performance under peak lending volumes",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": "Scale or customer volume outcomes are mentioned; peak-volume performance is not documented.",
      "display_label": "Performance under peak lending volumes",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": "Scale or customer volume outcomes are mentioned; peak volume performance is not documented.",
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "security_general",
      "canonical": "Protection of sensitive borrower data",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Protection of sensitive borrower data",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "task_routing",
      "canonical": "Task routing",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Task routing",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "integrationproof",
      "canonical": "Tested working integrations",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": "Partner links or connection claims are not a demonstration of working integrations.",
      "display_label": "Tested working integrations",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": "Partner links or connection claims are not a demonstration of working integrations.",
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "mobile_apply",
      "canonical": "Mobile borrower applications and onboarding",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Mobile borrower applications and onboarding",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "Respond to market changes fast with a mobile-native Point of Sale.",
          "start": 4740,
          "end": 4806,
          "quote_sha256": "99b44177d17fd875ee37d9d26b5a199fcffaba49a32baf34747f7a1280b9462f"
        }
      ]
    },
    {
      "vendor": "nCino",
      "criterion_id": "notices",
      "canonical": "Required disclosures, notices and deadline tracking",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": "Disclosures or adverse-action functionality are mentioned; required notices and deadline tracking are not all established.",
      "display_label": "Required disclosures, notices and deadline tracking",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": "Disclosures or adverse action functionality are mentioned; required notices and deadline tracking are not all established.",
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "disclosures",
      "canonical": "Required lending disclosures and notices",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Required lending disclosures and notices",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "permissions",
      "canonical": "Role-based access restrictions",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Role based access restrictions",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "complex_structures",
      "canonical": "Support for required complex loan structures",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": "Multiple loan products or complex lending are mentioned; specific complex loan-structure support is not described.",
      "display_label": "Support for required complex loan structures",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": "Multiple loan products or complex lending are mentioned; specific complex loan structure support is not described.",
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "api_general",
      "canonical": "Supported APIs",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": "An integration gateway or developer portal is named; supported API behavior is not documented here.",
      "display_label": "Supported APIs",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": "An integration gateway or developer portal is named; supported API behavior is not documented here.",
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "api_connectors",
      "canonical": "APIs and prebuilt connectors",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": "APIs or partners are named; APIs and supported prebuilt connectors together are not established.",
      "display_label": "APIs and prebuilt connectors",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": "APIs or partners are named; APIs and supported prebuilt connectors together are not established.",
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "data_verification",
      "canonical": "Application data verification",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Application data verification",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "portal",
      "canonical": "Borrower digital portal",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Borrower digital portal",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "upload",
      "canonical": "Borrower document upload",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Borrower document upload",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "funding",
      "canonical": "Closing and funding workflows",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": "Closing or funding is described; both sets of workflows are not established.",
      "display_label": "Closing and funding workflows",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": "Closing or funding is described; both sets of workflows are not established.",
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "collateral",
      "canonical": "Collateral management",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Collateral management",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "credit_config",
      "canonical": "Configurable credit policies and decision rules",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Configurable credit policies and decision rules",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "Each line of business runs on a purpose-built product, sharing the same data, risk monitoring, and portfolio view, with credit policy configured by product.",
          "start": 1379,
          "end": 1535,
          "quote_sha256": "edc961c1f9d6d224cd5b2428ebb692fe284d0cfb2e8d366bee0fa46904f6aaa9"
        }
      ]
    },
    {
      "vendor": "nCino",
      "criterion_id": "business_connections",
      "canonical": "Connections with business tools such as CRM and documents",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Connections with business tools such as CRM and documents",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "ease_general",
      "canonical": "Ease of use",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Ease of use",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "onboarding_help",
      "canonical": "Implementation and onboarding assistance",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Implementation and onboarding assistance",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "integration_cost",
      "canonical": "Integration costs",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Integration costs",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "closing_general",
      "canonical": "Loan closing workflows",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": "Origination-to-funding flow or a customer example is mentioned; closing workflow scope is not documented.",
      "display_label": "Loan closing workflows",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": "Origination to funding flow or a customer example is mentioned; closing workflow scope is not documented.",
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "exception_handling",
      "canonical": "Manual review and exception handling",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": "Risk or policy exceptions are discussed; their review/handling workflow is not established.",
      "display_label": "Manual review and exception handling",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": "Risk or policy exceptions are discussed; their review/handling workflow is not established.",
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "pricing_units",
      "canonical": "Pricing by users, portfolio volume and fees",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Pricing by users, portfolio volume and fees",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "vendor_experience",
      "canonical": "Relevant lending experience and track record",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Relevant lending experience and track record",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "train",
      "canonical": "Staff training",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Staff training",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "loan_types",
      "canonical": "Support for multiple loan types",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Support for multiple loan types",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "nCino runs commercial, consumer, mortgage, small business, and indirect lending on one platform for banks and credit unions of all sizes, with AI built in at every stage.",
          "start": 281,
          "end": 451,
          "quote_sha256": "d46278305ade0ac361ef8afa8429679835a278bfd41f53bef7e71be7b280b742"
        }
      ]
    },
    {
      "vendor": "nCino",
      "criterion_id": "vendor_viability",
      "canonical": "Vendor viability and resilience",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Vendor viability and resilience",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "exception_alerts",
      "canonical": "Alerts for policy and compliance exceptions",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Alerts for policy and compliance exceptions",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "autorules",
      "canonical": "Automated credit decision rules and scoring",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": "Automation or decisions are described; credit rules and scoring together are not established.",
      "display_label": "Automated credit decision rules and scoring",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": "Automation or decisions are described; credit rules and scoring together are not established.",
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "status",
      "canonical": "Borrower application status visibility",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Borrower application status visibility",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "origination_complete",
      "canonical": "Complete origination functionality",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Complete origination functionality",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "Run the whole credit lifecycle in one place, from origination through years of portfolio management. Embedded AI and automation take on the routine and surface risk early, so your lenders focus on relationships and credit decisions that grow the portfolio.",
          "start": 1705,
          "end": 1961,
          "quote_sha256": "7cc3dc970da9456660acb52ebb0a688592f8971e4d6263b32beb357277cb9717"
        }
      ]
    },
    {
      "vendor": "nCino",
      "criterion_id": "jurisdiction_config",
      "canonical": "Compliance workflows adapted by product or jurisdiction",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Compliance workflows adapted by product or jurisdiction",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "servicing_connections",
      "canonical": "Connections with loan servicing systems",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Connections with loan servicing systems",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "contract_length",
      "canonical": "Contract duration",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Contract duration",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "collaboration",
      "canonical": "Coordination among lending, credit and risk teams",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Coordination among lending, credit and risk teams",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "core_or_servicing",
      "canonical": "Core banking or loan servicing connections",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Core banking or loan servicing connections",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "affordable",
      "canonical": "Cost appropriate to lending volume and budget",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": "Marketing or cost claims do not establish affordability for this lender.",
      "display_label": "Cost appropriate to lending volume and budget",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": "Marketing or cost claims do not establish affordability for this lender.",
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "risk_management",
      "canonical": "Credit risk management",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Credit risk management",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "Portfolio health is visible in one view across loans, and credit risk is monitored continuously",
          "start": 3615,
          "end": 3710,
          "quote_sha256": "feb0867604563ebd61a6c1fe20deef7013fbf82716ebd328601b94705b12015e"
        }
      ]
    },
    {
      "vendor": "nCino",
      "criterion_id": "access_controls",
      "canonical": "Data access restrictions",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Data access restrictions",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "rpo",
      "canonical": "Defined maximum potential data loss",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Defined maximum potential data loss",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "integrationowner",
      "canonical": "Defined ownership, cost and maintenance of integrations",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": "Connections are named; ownership, costs and maintenance responsibilities are not supplied.",
      "display_label": "Defined ownership, cost and maintenance of integrations",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": "Connections are named; ownership, costs and maintenance responsibilities are not supplied.",
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "rto",
      "canonical": "Defined recovery time objectives",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Defined recovery time objectives",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "proof",
      "canonical": "Demonstrated performance using representative loan scenarios",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": "A demo offer or customer outcome claim is not a demonstrated test using representative buyer loan scenarios.",
      "display_label": "Demonstrated performance using representative loan scenarios",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": "A demo offer or customer outcome claim is not a demonstrated test using representative buyer loan scenarios.",
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "document_screening",
      "canonical": "Document screening and verification",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Document screening and verification",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "api",
      "canonical": "Documented APIs and supported connectors",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": "Developer resources or connections are named; documented APIs and supported connectors are not both established.",
      "display_label": "Documented APIs and supported connectors",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": "Developer resources or connections are named; documented APIs and supported connectors are not both established.",
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "migration",
      "canonical": "Documented migration plan and acceptance criteria",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Documented migration plan and acceptance criteria",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "esign",
      "canonical": "Electronic signature support",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Electronic signature support",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "incident_notification",
      "canonical": "Incident notification commitments",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Incident notification commitments",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "incident_response",
      "canonical": "Incident response procedures",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Incident response procedures",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "price",
      "canonical": "Included capabilities versus configuration or custom development",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": "Products and modules are named; included versus configured/custom scope is not fully supplied.",
      "display_label": "Included capabilities versus configuration or custom development",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": "Products and modules are named; included versus configured/custom scope is not fully supplied.",
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "report_general",
      "canonical": "Lending reporting and analytics",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Lending reporting and analytics",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "Five disconnected systems — plus the Excel and email holding them together — became one structured lending workflow on nCino. VeraBank now turns loans faster, with built-in pipeline reporting.",
          "start": 5430,
          "end": 5622,
          "quote_sha256": "b6f3c1ce46f5c27ee6fe9531400da6999e23f2bb216915d9c70d77eaa8275014"
        }
      ]
    },
    {
      "vendor": "nCino",
      "criterion_id": "approval_steps",
      "canonical": "Loan approval workflows",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Loan approval workflows",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "document_handling",
      "canonical": "Loan document handling",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Loan document handling",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "mfa",
      "canonical": "Multifactor authentication",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Multifactor authentication",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "implementation_owner",
      "canonical": "Named implementation responsibilities",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Named implementation responsibilities",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "provider_oversight",
      "canonical": "Oversight of service providers",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Oversight of service providers",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "data_ownership",
      "canonical": "Ownership of lending data",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Ownership of lending data",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "report",
      "canonical": "Pipeline, portfolio and operational reporting",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": "Reports or analytics are mentioned; complete pipeline, portfolio and operational reporting is not established.",
      "display_label": "Pipeline, portfolio and operational reporting",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": "Reports or analytics are mentioned; complete pipeline, portfolio and operational reporting is not established.",
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "portfolio_management",
      "canonical": "Post-close loan portfolio management",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Post close loan portfolio management",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "Run the whole credit lifecycle in one place, from origination through years of portfolio management. Embedded AI and automation take on the routine and surface risk early, so your lenders focus on relationships and credit decisions that grow the portfolio.",
          "start": 1705,
          "end": 1961,
          "quote_sha256": "7cc3dc970da9456660acb52ebb0a688592f8971e4d6263b32beb357277cb9717"
        },
        {
          "quote": "Portfolio health is visible in one view across loans, and credit risk is monitored continuously",
          "start": 3615,
          "end": 3710,
          "quote_sha256": "feb0867604563ebd61a6c1fe20deef7013fbf82716ebd328601b94705b12015e"
        }
      ]
    },
    {
      "vendor": "nCino",
      "criterion_id": "support_general",
      "canonical": "Post-launch support",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Post launch support",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "references",
      "canonical": "References and evidence from comparable lenders",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": "Named customer examples do not establish comparability to the actual lender.",
      "display_label": "References and evidence from comparable lenders",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": "Named customer examples do not establish comparability to the actual lender.",
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "contract",
      "canonical": "Renewal, termination and transition terms",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": "Limited terms or product information is present; renewal, termination and transition terms are not fully supplied.",
      "display_label": "Renewal, termination and transition terms",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": "Limited terms or product information is present; renewal, termination and transition terms are not fully supplied.",
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "available",
      "canonical": "Required functions currently delivered and available",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": "Named features do not establish availability of the buyer’s complete required functionality.",
      "display_label": "Required functions currently delivered and available",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": "Named features do not establish availability of the buyer’s complete required functionality.",
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "resume",
      "canonical": "Save and resume an incomplete application",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Save and resume an incomplete application",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "document",
      "canonical": "Secure document collection, storage and retrieval",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": "Document functions are named; secure collection, storage and retrieval are not all established.",
      "display_label": "Secure document collection, storage and retrieval",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": "Document functions are named; secure collection, storage and retrieval are not all established.",
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "securitytest",
      "canonical": "Security testing and assessment evidence",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Security testing and assessment evidence",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "adverse",
      "canonical": "Specific adverse action reasons and explanations",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Specific adverse action reasons and explanations",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "audit",
      "canonical": "Tamper-resistant activity and application audit trails",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": "Audit logs are mentioned; tamper resistance is not established.",
      "display_label": "Tamper resistant activity and application audit trails",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": "Audit logs are mentioned; tamper resistance is not established.",
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "task_management",
      "canonical": "Task management",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Task management",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "recoverytest",
      "canonical": "Tested restoration and recovery evidence",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Tested restoration and recovery evidence",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "export",
      "canonical": "Usable complete data exports including documents and audit history",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Usable complete data exports including documents and audit history",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "references_general",
      "canonical": "Vendor references and case studies",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Vendor references and case studies",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "retention",
      "canonical": "Application record retention rules and history",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Application record retention rules and history",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "decision_audit",
      "canonical": "Auditable lending decisions",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": "Logs or decisions are mentioned; decision-specific auditability is not established.",
      "display_label": "Auditable lending decisions",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": "Logs or decisions are mentioned; decision specific auditability is not established.",
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "connected_data",
      "canonical": "Connected data without duplicate entry or silos",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Connected data without duplicate entry or silos",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "Data flows from application through funding without re-entry",
          "start": 3553,
          "end": 3613,
          "quote_sha256": "4c69666401d6525531cacb88e544b542a063b345f6faf576a0d87adc306a0ad5"
        }
      ]
    },
    {
      "vendor": "nCino",
      "criterion_id": "lender_connections",
      "canonical": "Connections with wholesale lenders",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Connections with wholesale lenders",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "credit_decisions",
      "canonical": "Credit decisioning",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Credit decisioning",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "approval_authority",
      "canonical": "Defined approval authority and limits",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": "Decisions or approvals are mentioned; authority and limits are not specified.",
      "display_label": "Defined approval authority and limits",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": "Decisions or approvals are mentioned; authority and limits are not specified.",
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "document_collection",
      "canonical": "Document collection",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Document collection",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "document_requests",
      "canonical": "Document requests and checklists",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Document requests and checklists",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "docgeneration",
      "canonical": "Dynamic document generation",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Dynamic document generation",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "failure_handling",
      "canonical": "Handling integration failures",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": "Connections are named; failure handling is not described.",
      "display_label": "Handling integration failures",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": "Connections are named; failure handling is not described.",
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "servicing_handoff",
      "canonical": "Handoff from origination to servicing",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Handoff from origination to servicing",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "human_override",
      "canonical": "Human overrides of automated decisions",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": "Human control is mentioned; overrides of automated decisions are not established.",
      "display_label": "Human overrides of automated decisions",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": "Human control is mentioned; overrides of automated decisions are not established.",
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "implementation_timing",
      "canonical": "Implementation duration",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Implementation duration",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "assurance_reports",
      "canonical": "Independent security assurance reports",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Independent security assurance reports",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "kyc",
      "canonical": "Know-your-customer and anti-money-laundering controls",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": "AML or identity verification is mentioned; KYC and AML controls together are not established.",
      "display_label": "Know your customer and anti money laundering controls",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": "AML or identity verification is mentioned; KYC and AML controls together are not established.",
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "loan_servicing",
      "canonical": "Loan servicing",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": "Portfolio management is described; loan servicing behavior is not established.",
      "display_label": "Loan servicing",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": "Portfolio management is described; loan servicing behavior is not established.",
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "process_metrics",
      "canonical": "Measured completion time, manual work and errors",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Measured completion time, manual work and errors",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "mobile_access",
      "canonical": "Mobile borrower access",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": "Mobile onboarding is described; ongoing borrower access is not established.",
      "display_label": "Mobile borrower access",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": "Mobile onboarding is described; ongoing borrower access is not established.",
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "mobile_or_channels",
      "canonical": "Mobile-friendly or multi-channel onboarding",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": "A product or channel is described; the buyer’s alternative onboarding requirement is not fully resolved.",
      "display_label": "Mobile friendly or multi channel onboarding",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": "A product or channel is described; the buyer’s alternative onboarding requirement is not fully resolved.",
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "borrowers_guarantors",
      "canonical": "Multiple borrowers and guarantors",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Multiple borrowers and guarantors",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "uptime_reliable",
      "canonical": "Reliable service availability",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Reliable service availability",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "remote",
      "canonical": "Remote access to lending operations",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Remote access to lending operations",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "uptime_history",
      "canonical": "System uptime history",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "System uptime history",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "export_general",
      "canonical": "Usable lending data exports",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Usable lending data exports",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "vendor_financial",
      "canonical": "Vendor financial stability",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Vendor financial stability",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "test_environment",
      "canonical": "A usable integration test environment",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "A usable integration test environment",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "api_documentation",
      "canonical": "API documentation",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "API documentation",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "native_or_api",
      "canonical": "APIs or built-in integrations",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "APIs or built in integrations",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "dataaccess",
      "canonical": "Accessible underlying lending data",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Accessible underlying lending data",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "accessible",
      "canonical": "Accessible user interfaces",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Accessible user interfaces",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "disclosure_accuracy",
      "canonical": "Accurate lending disclosures",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Accurate lending disclosures",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "consent",
      "canonical": "Application consent records",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Application consent records",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "turnaround_reporting",
      "canonical": "Application conversion and turnaround reporting",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Application conversion and turnaround reporting",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "dynamicforms",
      "canonical": "Application forms that adapt to borrower answers",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Application forms that adapt to borrower answers",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "decision_reporting",
      "canonical": "Approval, denial, override and exception reporting",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Approval, denial, override and exception reporting",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "updates",
      "canonical": "Automatic or ongoing software updates",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Automatic or ongoing software updates",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "backup",
      "canonical": "Backups and disaster recovery arrangements",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Backups and disaster recovery arrangements",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "borrower_experience",
      "canonical": "Borrower and member experience",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Borrower and member experience",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "risk_retail_or_crm",
      "canonical": "Choice of commercial risk, retail efficiency or CRM integration",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": "This is a buyer-specific architectural choice, priority or system-boundary requirement. The saved page cannot settle it for the buyer.",
      "display_label": "Choice of commercial risk, retail efficiency or CRM integration",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": "This is a buyer specific architectural choice, priority or system boundary requirement. The saved page cannot settle it for the buyer.",
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "system_boundaries",
      "canonical": "Clear boundaries between LOS and separate systems",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": "This is a buyer-specific architectural choice, priority or system-boundary requirement. The saved page cannot settle it for the buyer.",
      "display_label": "Clear boundaries between LOS and separate systems",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": "This is a buyer specific architectural choice, priority or system boundary requirement. The saved page cannot settle it for the buyer.",
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "corporate_entities",
      "canonical": "Complex corporate entity structures",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Complex corporate entity structures",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "reportconfig",
      "canonical": "Configurable dashboards and reports",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": "Widgets or analytics are mentioned; configurable reports and dashboards are not all established.",
      "display_label": "Configurable dashboards and reports",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": "Widgets or analytics are mentioned; configurable reports and dashboards are not all established.",
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "pricing",
      "canonical": "Configurable loan pricing and eligibility rules",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": "Pricing is mentioned; configurable pricing and eligibility rules together are not established.",
      "display_label": "Configurable loan pricing and eligibility rules",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": "Pricing is mentioned; configurable pricing and eligibility rules together are not established.",
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "custom_effort",
      "canonical": "Configuration and customization effort",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Configuration and customization effort",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "data_tool_connections",
      "canonical": "Connections with data warehouses and reporting tools",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Connections with data warehouses and reporting tools",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "channel_connections",
      "canonical": "Connections with digital self-service channels",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Connections with digital self service channels",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "integrationfailure",
      "canonical": "Controlled integration failures, retries and duplicate handling",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": "Connections are named; failures, retries and duplicate handling are not described.",
      "display_label": "Controlled integration failures, retries and duplicate handling",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": "Connections are named; failures, retries and duplicate handling are not described.",
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "cost_reporting",
      "canonical": "Cost per funded loan reporting",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Cost per funded loan reporting",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "risk_scoring",
      "canonical": "Credit risk scoring",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": "Risk or credit analysis is mentioned; risk scoring is not established.",
      "display_label": "Credit risk scoring",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": "Risk or credit analysis is mentioned; risk scoring is not established.",
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "data_exchange",
      "canonical": "Data exchange between connected systems",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Data exchange between connected systems",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "migration_help",
      "canonical": "Data migration support",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Data migration support",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "sync",
      "canonical": "Defined data exchange and reconciliation",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": "Shared data or exchange is mentioned; defined exchange and reconciliation together are not established.",
      "display_label": "Defined data exchange and reconciliation",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": "Shared data or exchange is mentioned; defined exchange and reconciliation together are not established.",
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "export_terms",
      "canonical": "Defined export formats and fees",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Defined export formats and fees",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "support_hours",
      "canonical": "Defined support hours",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Defined support hours",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "document_security",
      "canonical": "Document security",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Document security",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "document_versions",
      "canonical": "Document version history",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Document version history",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "security",
      "canonical": "Documented protection of sensitive borrower data",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": "Security is claimed; complete documented protection is not supplied on the saved page.",
      "display_label": "Documented protection of sensitive borrower data",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": "Security is claimed; complete documented protection is not supplied on the saved page.",
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "uptime",
      "canonical": "Documented system uptime and service commitments",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Documented system uptime and service commitments",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "spreading",
      "canonical": "Financial spreading and global cash flow analysis",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": "Financial spreading is named; global cash flow analysis is not established.",
      "display_label": "Financial spreading and global cash flow analysis",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": "Financial spreading is named; global cash flow analysis is not established.",
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "financial_spreading",
      "canonical": "Financial statement spreading",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Financial statement spreading",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "Spreading runs automatically",
          "start": 3523,
          "end": 3551,
          "quote_sha256": "1e6cf5cee0403858ee82aee9329159b24aead8da2f4f3fee96b129a2a92e0f1f"
        }
      ]
    },
    {
      "vendor": "nCino",
      "criterion_id": "global_cashflow",
      "canonical": "Global cash flow analysis",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": "Spreading or risk analytics is named; global cash flow analysis is not established.",
      "display_label": "Global cash flow analysis",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": "Spreading or risk analytics is named; global cash flow analysis is not established.",
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "scale",
      "canonical": "Growth in loan volume and additional products or channels",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Growth in loan volume and additional products or channels",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "Your teams handle more volume as you grow, backed by benchmarking and analytics across the entire lifecycle.",
          "start": 1269,
          "end": 1377,
          "quote_sha256": "dadd7e5ca9c9530f3a5668517eb24ac2a588e2e1f27be23655ff194eb646eb8a"
        },
        {
          "quote": "The nCino Platform scales with you, wherever your institution sits today. You can start with the loan types that matter most and add more over time.",
          "start": 3859,
          "end": 4007,
          "quote_sha256": "383e82eaf618edcf6e28ef2a9245471aaece32017ceecdec34b36194436dd8e6"
        }
      ]
    },
    {
      "vendor": "nCino",
      "criterion_id": "subcontractor_dependencies",
      "canonical": "Identified subcontractor dependencies",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Identified subcontractor dependencies",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "advisory_support",
      "canonical": "Implementation and advisory support",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Implementation and advisory support",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "implementation_cost",
      "canonical": "Implementation costs",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Implementation costs",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "securityproof",
      "canonical": "Independent security assurance reports including scope and exceptions",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Independent security assurance reports including scope and exceptions",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "loan_pricing",
      "canonical": "Loan pricing logic",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Loan pricing logic",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "stage_tracking",
      "canonical": "Loan workflow stage tracking",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Loan workflow stage tracking",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "entities",
      "canonical": "Multiple borrowers, business entities and guarantors",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Multiple borrowers, business entities and guarantors",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "multi_guarantors",
      "canonical": "Multiple guarantors",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Multiple guarantors",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "regupdates",
      "canonical": "Ongoing regulatory updates with defined responsibilities",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": "Regulatory support is mentioned; update responsibilities are not defined.",
      "display_label": "Ongoing regulatory updates with defined responsibilities",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": "Regulatory support is mentioned; update responsibilities are not defined.",
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "vendor_oversight",
      "canonical": "Ongoing vendor oversight",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Ongoing vendor oversight",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "migration_downtime",
      "canonical": "Operational downtime during migration",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Operational downtime during migration",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "operational_reporting",
      "canonical": "Operational lending reporting",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Operational lending reporting",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "support",
      "canonical": "Post-launch support and escalation commitments",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Post launch support and escalation commitments",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "realtimereport",
      "canonical": "Real time reporting data",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": "Insights or current data are mentioned; real-time reporting is not established.",
      "display_label": "Real time reporting data",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": "Insights or current data are mentioned; real time reporting is not established.",
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "realtime_exchange",
      "canonical": "Real-time data exchange",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Real time data exchange",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "reconciliation",
      "canonical": "Reconciliation of integration data and errors",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Reconciliation of integration data and errors",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "application_history",
      "canonical": "Reconstructable application history",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Reconstructable application history",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "decisionhistory",
      "canonical": "Reconstructable decision inputs, rules, versions and overrides",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": "Decisions and logs are mentioned; complete reconstructable inputs, rules, versions and overrides are not established.",
      "display_label": "Reconstructable decision inputs, rules, versions and overrides",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": "Decisions and logs are mentioned; complete reconstructable inputs, rules, versions and overrides are not established.",
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "decision_reconstruction",
      "canonical": "Reconstructable history of data, rules, decisions and communications",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": "Logs or decisions are mentioned; reconstructable data, rules, decisions and communications together are not established.",
      "display_label": "Reconstructable history of data, rules, decisions and communications",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": "Logs or decisions are mentioned; reconstructable data, rules, decisions and communications together are not established.",
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "approval_records",
      "canonical": "Recorded approvals",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Recorded approvals",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "regulatory_reporting",
      "canonical": "Regulatory lending reporting",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Regulatory lending reporting",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "decision_reproduce",
      "canonical": "Reproducible lending decisions",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Reproducible lending decisions",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "staff_time",
      "canonical": "Required internal implementation staff time",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Required internal implementation staff time",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "aicontrol",
      "canonical": "Reviewable, explainable and disableable AI decisions",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": "Governance or human control is mentioned; review, explanation and disabling AI decisions together are not established.",
      "display_label": "Reviewable, explainable and disableable AI decisions",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": "Governance or human control is mentioned; review, explanation and disabling AI decisions together are not established.",
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "secure_esign",
      "canonical": "Secure electronic signatures",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Secure electronic signatures",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "work_queues",
      "canonical": "Staff work queues",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Staff work queues",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "support_escalation",
      "canonical": "Support escalation procedures",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Support escalation procedures",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "relationship_lending",
      "canonical": "Support for relationship-based lending",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Support for relationship based lending",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "support_response",
      "canonical": "Support response commitments",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Support response commitments",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "routing",
      "canonical": "Task routing and escalation",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": "Workflow tools are mentioned; task routing, escalation and stage control are not all established.",
      "display_label": "Task routing and escalation",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": "Workflow tools are mentioned; task routing, escalation and stage control are not all established.",
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "rulehistory",
      "canonical": "Tested rule changes with version history and rollback",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": "Configurable rules are mentioned; tested version history and rollback are not established.",
      "display_label": "Tested rule changes with version history and rollback",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": "Configurable rules are mentioned; tested version history and rollback are not established.",
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "decision_trace",
      "canonical": "Traceable decision versions, overrides and reasons",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": "Decisions and logs are mentioned; versions, overrides and reasons are not all established.",
      "display_label": "Traceable decision versions, overrides and reasons",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": "Decisions and logs are mentioned; versions, overrides and reasons are not all established.",
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "central_reporting",
      "canonical": "Unified reporting tools",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Unified reporting tools",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "customer_view",
      "canonical": "Unified view of customer information",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Unified view of customer information",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "nCino",
      "criterion_id": "workload_reporting",
      "canonical": "Workload and bottleneck reporting",
      "page_url": "https://www.ncino.com/solutions/lending",
      "page_read_utc": "2026-10-08T03:56:34.601Z",
      "page_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose-built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason": null,
      "display_label": "Workload and bottleneck reporting",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. The exact saved 8 October lending product page is used. Each line of business is a purpose built product with separate configured credit policy. Commercial portfolio management, mortgage intake and mobile POS, indirect dealer connectivity and broad regulatory claims retain their named scope. The two scale quotations jointly support more volume and adding loan types; future channel expansion is not claimed. Pipeline reporting is explicitly a VeraBank customer example. Customer outcome percentages are not independently tested results. The implementation heading supplies adoption counts, not a launch responsibility plan.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "e2db24a95947949937d338d2e68315ed9e99a7693cac02d472076566ab643df4",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "fit",
      "canonical": "Fit with the lender’s stated products and operating needs",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": "Named products and audiences do not establish fit to the actual lender’s operations.",
      "display_label": "Fit with the lender’s stated products and operating needs",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": "Named products and audiences do not establish fit to the actual lender’s operations.",
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "compliance",
      "canonical": "Applicable lending and jurisdictional compliance controls",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Applicable lending and jurisdictional compliance controls",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "MeridianLink Pathway delivers a personalized, compliant, and fully digital adverse action experience that helps applicants understand why a decision was made, while keeping the relationship moving forward with clear next steps on the path back to yes.",
          "start": 5527,
          "end": 5778,
          "quote_sha256": "806c767ef39b14c2e0a9ceb17314b5c87ef2a883d20afe728bd67252d520f01d"
        }
      ]
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "workflow_config",
      "canonical": "Configurable lending workflows",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": "A product or workspace is configurable; configurable lending workflow scope is not established.",
      "display_label": "Configurable lending workflows",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": "A product or workspace is configurable; configurable lending workflow scope is not established.",
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "totalcost",
      "canonical": "Full total cost of ownership",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": "Product or package information is present; full ownership costs are not supplied.",
      "display_label": "Full total cost of ownership",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": "Product or package information is present; full ownership costs are not supplied.",
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "activity_logs",
      "canonical": "Application and activity audit logs",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Application and activity audit logs",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "integration_general",
      "canonical": "Connections with the lender’s existing systems",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Connections with the lender’s existing systems",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "Our Marketplace network helps your institution integrate, innovate, and grow—without starting from scratch. Tap into tools for AI-powered insights, identity verification, fraud protection, consumer engagement, and more.",
          "start": 9317,
          "end": 9536,
          "quote_sha256": "d55b5c2b52be634425c86003a08af92add231749395ae3d3ac2b2d98849af7f0"
        }
      ]
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "underwrite",
      "canonical": "Underwriting and credit assessment support",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": "Decisions and risk are discussed; actual underwriting support is not fully described.",
      "display_label": "Underwriting and credit assessment support",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": "Decisions and risk are discussed; actual underwriting support is not fully described.",
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "automation",
      "canonical": "Automation of repetitive loan processing work",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Automation of repetitive loan processing work",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "Drive productivity and consistency with automated workflows that streamline tasks and speed up decision-making.",
          "start": 1367,
          "end": 1478,
          "quote_sha256": "5ec3659d56e242e78f4fd4119309b81289834046e7c6cfca0a92a4901dcc90f0"
        }
      ]
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "nocode",
      "canonical": "Configuration without extensive custom programming",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": "Configuration or automation is mentioned; freedom from extensive custom programming is not established.",
      "display_label": "Configuration without extensive custom programming",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": "Configuration or automation is mentioned; freedom from extensive custom programming is not established.",
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "volume_growth",
      "canonical": "Growth in lending volumes",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Growth in lending volumes",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "Our intelligent automation, trusted AI, and deep industry expertise help financial institutions grow and scale, while giving your team more time to focus on building relationships.",
          "start": 6858,
          "end": 7038,
          "quote_sha256": "9d20839fafde8587d5143fab465c45baff3f4541dc09f734935272eef4dc3ad6"
        }
      ]
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "core_connections",
      "canonical": "Core banking connections",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Core banking connections",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "cloud",
      "canonical": "Cloud based infrastructure",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Cloud based infrastructure",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "unified",
      "canonical": "Connected lending lifecycle from application to funding or servicing",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": "An end-to-end platform or connected journey is described; application-to-funding/servicing coverage is not fully established.",
      "display_label": "Connected lending lifecycle from application to funding or servicing",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": "An end to end platform or connected journey is described; application to funding/servicing coverage is not fully established.",
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "bureau_connections",
      "canonical": "Credit bureau connections",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Credit bureau connections",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "encrypt",
      "canonical": "Data encryption",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Data encryption",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "intake",
      "canonical": "Digital loan application intake",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Digital loan application intake",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "Expand your reach and drive growth with a streamlined, fully digital account opening and loan application experience.",
          "start": 1062,
          "end": 1179,
          "quote_sha256": "a0caad9aac65a0db74855ba233941d8ff13f1dc7aec38f4ac97df557a473bda0"
        }
      ]
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "verification_connections",
      "canonical": "Identity, fraud, income or asset verification connections",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Identity, fraud, income or asset verification connections",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "Our Marketplace network helps your institution integrate, innovate, and grow—without starting from scratch. Tap into tools for AI-powered insights, identity verification, fraud protection, consumer engagement, and more.",
          "start": 9317,
          "end": 9536,
          "quote_sha256": "d55b5c2b52be634425c86003a08af92add231749395ae3d3ac2b2d98849af7f0"
        }
      ]
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "multi_channel",
      "canonical": "Digital and assisted origination channels",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Digital and assisted origination channels",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "usable",
      "canonical": "Ease of use for borrowers and lending staff",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": "Borrower or staff ease is discussed; ease for both groups together is not established.",
      "display_label": "Ease of use for borrowers and lending staff",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": "Borrower or staff ease is discussed; ease for both groups together is not established.",
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "funding_general",
      "canonical": "Loan funding workflows",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": "Origination-to-funding flow is mentioned; funding workflows are not described.",
      "display_label": "Loan funding workflows",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": "Origination to funding flow is mentioned; funding workflows are not described.",
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "decision_rules",
      "canonical": "Rules-based decisioning",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": "Automated decisions are mentioned; a rules engine is not established.",
      "display_label": "Rules based decisioning",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": "Automated decisions are mentioned; a rules engine is not established.",
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "integrate",
      "canonical": "Working core banking, bureau and business system connections",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": "Some integrations are named; working core banking, bureau and business connections together are not established.",
      "display_label": "Working core banking, bureau and business system connections",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": "Some integrations are named; working core banking, bureau and business connections together are not established.",
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "system_config",
      "canonical": "Configurable system functionality",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Configurable system functionality",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "Configurable banking application software to drive loan and deposit growth.",
          "start": 2731,
          "end": 2806,
          "quote_sha256": "dbca85673a0569675653a2d48a12d4bc2f01210d5f1ef764dad518e9d2d35a1b"
        }
      ]
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "architecture",
      "canonical": "Deployment architecture suited to IT and data requirements",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": "This is a buyer-specific architectural choice, priority or system-boundary requirement. The saved page cannot settle it for the buyer.",
      "display_label": "Deployment architecture suited to IT and data requirements",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": "This is a buyer specific architectural choice, priority or system boundary requirement. The saved page cannot settle it for the buyer.",
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "borrower_usable",
      "canonical": "Ease of use for borrowers",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Ease of use for borrowers",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "Attract new customers with intuitive, digital-first applications",
          "start": 7117,
          "end": 7181,
          "quote_sha256": "a52fb8cb6e21c824594320b9bf69303d5aeb578e9bf25e9a38e4254a75af21c5"
        }
      ]
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "staff_usable",
      "canonical": "Ease of use for lending staff",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Ease of use for lending staff",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "reg_updates",
      "canonical": "Ongoing regulatory updates",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Ongoing regulatory updates",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "performance",
      "canonical": "Performance under peak lending volumes",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": "Scale or customer volume outcomes are mentioned; peak-volume performance is not documented.",
      "display_label": "Performance under peak lending volumes",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": "Scale or customer volume outcomes are mentioned; peak volume performance is not documented.",
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "security_general",
      "canonical": "Protection of sensitive borrower data",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Protection of sensitive borrower data",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "task_routing",
      "canonical": "Task routing",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Task routing",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "integrationproof",
      "canonical": "Tested working integrations",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": "Partner links or connection claims are not a demonstration of working integrations.",
      "display_label": "Tested working integrations",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": "Partner links or connection claims are not a demonstration of working integrations.",
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "mobile_apply",
      "canonical": "Mobile borrower applications and onboarding",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Mobile borrower applications and onboarding",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "notices",
      "canonical": "Required disclosures, notices and deadline tracking",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": "Disclosures or adverse-action functionality are mentioned; required notices and deadline tracking are not all established.",
      "display_label": "Required disclosures, notices and deadline tracking",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": "Disclosures or adverse action functionality are mentioned; required notices and deadline tracking are not all established.",
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "disclosures",
      "canonical": "Required lending disclosures and notices",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Required lending disclosures and notices",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "MeridianLink Pathway delivers a personalized, compliant, and fully digital adverse action experience that helps applicants understand why a decision was made, while keeping the relationship moving forward with clear next steps on the path back to yes.",
          "start": 5527,
          "end": 5778,
          "quote_sha256": "806c767ef39b14c2e0a9ceb17314b5c87ef2a883d20afe728bd67252d520f01d"
        }
      ]
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "permissions",
      "canonical": "Role-based access restrictions",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Role based access restrictions",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "complex_structures",
      "canonical": "Support for required complex loan structures",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": "Multiple loan products or complex lending are mentioned; specific complex loan-structure support is not described.",
      "display_label": "Support for required complex loan structures",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": "Multiple loan products or complex lending are mentioned; specific complex loan structure support is not described.",
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "api_general",
      "canonical": "Supported APIs",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": "An integration gateway or developer portal is named; supported API behavior is not documented here.",
      "display_label": "Supported APIs",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": "An integration gateway or developer portal is named; supported API behavior is not documented here.",
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "api_connectors",
      "canonical": "APIs and prebuilt connectors",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": "APIs or partners are named; APIs and supported prebuilt connectors together are not established.",
      "display_label": "APIs and prebuilt connectors",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": "APIs or partners are named; APIs and supported prebuilt connectors together are not established.",
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "data_verification",
      "canonical": "Application data verification",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Application data verification",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "portal",
      "canonical": "Borrower digital portal",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Borrower digital portal",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "upload",
      "canonical": "Borrower document upload",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Borrower document upload",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "funding",
      "canonical": "Closing and funding workflows",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": "Closing or funding is described; both sets of workflows are not established.",
      "display_label": "Closing and funding workflows",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": "Closing or funding is described; both sets of workflows are not established.",
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "collateral",
      "canonical": "Collateral management",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Collateral management",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "credit_config",
      "canonical": "Configurable credit policies and decision rules",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Configurable credit policies and decision rules",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "business_connections",
      "canonical": "Connections with business tools such as CRM and documents",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Connections with business tools such as CRM and documents",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "ease_general",
      "canonical": "Ease of use",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Ease of use",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "Attract new customers with intuitive, digital-first applications",
          "start": 7117,
          "end": 7181,
          "quote_sha256": "a52fb8cb6e21c824594320b9bf69303d5aeb578e9bf25e9a38e4254a75af21c5"
        }
      ]
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "onboarding_help",
      "canonical": "Implementation and onboarding assistance",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Implementation and onboarding assistance",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "integration_cost",
      "canonical": "Integration costs",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Integration costs",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "closing_general",
      "canonical": "Loan closing workflows",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Loan closing workflows",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "exception_handling",
      "canonical": "Manual review and exception handling",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Manual review and exception handling",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "pricing_units",
      "canonical": "Pricing by users, portfolio volume and fees",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Pricing by users, portfolio volume and fees",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "vendor_experience",
      "canonical": "Relevant lending experience and track record",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Relevant lending experience and track record",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "train",
      "canonical": "Staff training",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Staff training",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "loan_types",
      "canonical": "Support for multiple loan types",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Support for multiple loan types",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "MeridianLink ® powers those moments with a digital lending platform that brings together account opening, mortgage, HELOC, personal lending, and credit cards into one seamless experience.",
          "start": 5073,
          "end": 5260,
          "quote_sha256": "cb8b83b2610b61201fcaf01edda26927915b36406bb15b9f6a4995139a647ea7"
        }
      ]
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "vendor_viability",
      "canonical": "Vendor viability and resilience",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Vendor viability and resilience",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "exception_alerts",
      "canonical": "Alerts for policy and compliance exceptions",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Alerts for policy and compliance exceptions",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "autorules",
      "canonical": "Automated credit decision rules and scoring",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": "Automation or decisions are described; credit rules and scoring together are not established.",
      "display_label": "Automated credit decision rules and scoring",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": "Automation or decisions are described; credit rules and scoring together are not established.",
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "status",
      "canonical": "Borrower application status visibility",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Borrower application status visibility",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "origination_complete",
      "canonical": "Complete origination functionality",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Complete origination functionality",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "Connect every step of the lending and account opening journey.",
          "start": 1830,
          "end": 1892,
          "quote_sha256": "0393e761bc9b55affde350bb67ce441b05adc3711aeff75b7fe5550de994e4c8"
        }
      ]
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "jurisdiction_config",
      "canonical": "Compliance workflows adapted by product or jurisdiction",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Compliance workflows adapted by product or jurisdiction",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "servicing_connections",
      "canonical": "Connections with loan servicing systems",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Connections with loan servicing systems",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "contract_length",
      "canonical": "Contract duration",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Contract duration",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "collaboration",
      "canonical": "Coordination among lending, credit and risk teams",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Coordination among lending, credit and risk teams",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "core_or_servicing",
      "canonical": "Core banking or loan servicing connections",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Core banking or loan servicing connections",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "affordable",
      "canonical": "Cost appropriate to lending volume and budget",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": "Marketing or cost claims do not establish affordability for this lender.",
      "display_label": "Cost appropriate to lending volume and budget",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": "Marketing or cost claims do not establish affordability for this lender.",
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "risk_management",
      "canonical": "Credit risk management",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Credit risk management",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "access_controls",
      "canonical": "Data access restrictions",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Data access restrictions",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "rpo",
      "canonical": "Defined maximum potential data loss",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Defined maximum potential data loss",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "integrationowner",
      "canonical": "Defined ownership, cost and maintenance of integrations",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": "Connections are named; ownership, costs and maintenance responsibilities are not supplied.",
      "display_label": "Defined ownership, cost and maintenance of integrations",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": "Connections are named; ownership, costs and maintenance responsibilities are not supplied.",
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "rto",
      "canonical": "Defined recovery time objectives",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Defined recovery time objectives",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "proof",
      "canonical": "Demonstrated performance using representative loan scenarios",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": "A demo offer or customer outcome claim is not a demonstrated test using representative buyer loan scenarios.",
      "display_label": "Demonstrated performance using representative loan scenarios",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": "A demo offer or customer outcome claim is not a demonstrated test using representative buyer loan scenarios.",
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "document_screening",
      "canonical": "Document screening and verification",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Document screening and verification",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "api",
      "canonical": "Documented APIs and supported connectors",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": "Developer resources or connections are named; documented APIs and supported connectors are not both established.",
      "display_label": "Documented APIs and supported connectors",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": "Developer resources or connections are named; documented APIs and supported connectors are not both established.",
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "migration",
      "canonical": "Documented migration plan and acceptance criteria",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Documented migration plan and acceptance criteria",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "esign",
      "canonical": "Electronic signature support",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Electronic signature support",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "incident_notification",
      "canonical": "Incident notification commitments",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Incident notification commitments",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "incident_response",
      "canonical": "Incident response procedures",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Incident response procedures",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "price",
      "canonical": "Included capabilities versus configuration or custom development",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": "Products and modules are named; included versus configured/custom scope is not fully supplied.",
      "display_label": "Included capabilities versus configuration or custom development",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": "Products and modules are named; included versus configured/custom scope is not fully supplied.",
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "report_general",
      "canonical": "Lending reporting and analytics",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Lending reporting and analytics",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "approval_steps",
      "canonical": "Loan approval workflows",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Loan approval workflows",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "Powerful consumer lending software for fast, accurate loan processing and approvals",
          "start": 2561,
          "end": 2644,
          "quote_sha256": "1257c3313a5c15bf819400249cf1c7631ed5546c26b0f4c3eec1a5145b91a81e"
        }
      ]
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "document_handling",
      "canonical": "Loan document handling",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Loan document handling",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "mfa",
      "canonical": "Multifactor authentication",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Multifactor authentication",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "implementation_owner",
      "canonical": "Named implementation responsibilities",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Named implementation responsibilities",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "provider_oversight",
      "canonical": "Oversight of service providers",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Oversight of service providers",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "data_ownership",
      "canonical": "Ownership of lending data",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Ownership of lending data",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "report",
      "canonical": "Pipeline, portfolio and operational reporting",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": "Reports or analytics are mentioned; complete pipeline, portfolio and operational reporting is not established.",
      "display_label": "Pipeline, portfolio and operational reporting",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": "Reports or analytics are mentioned; complete pipeline, portfolio and operational reporting is not established.",
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "portfolio_management",
      "canonical": "Post-close loan portfolio management",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": "Servicing or insights are described; loan portfolio management scope is not established.",
      "display_label": "Post close loan portfolio management",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": "Servicing or insights are described; loan portfolio management scope is not established.",
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "support_general",
      "canonical": "Post-launch support",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Post launch support",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "Expert guidance and tailored support to optimize product performance and improve operation.",
          "start": 3322,
          "end": 3413,
          "quote_sha256": "71decc9c600eaffb210ce74772eb491991c4506c4a0cd64114073791dd72eff1"
        }
      ]
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "references",
      "canonical": "References and evidence from comparable lenders",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": "Named customer examples do not establish comparability to the actual lender.",
      "display_label": "References and evidence from comparable lenders",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": "Named customer examples do not establish comparability to the actual lender.",
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "contract",
      "canonical": "Renewal, termination and transition terms",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": "Limited terms or product information is present; renewal, termination and transition terms are not fully supplied.",
      "display_label": "Renewal, termination and transition terms",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": "Limited terms or product information is present; renewal, termination and transition terms are not fully supplied.",
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "available",
      "canonical": "Required functions currently delivered and available",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": "Named features do not establish availability of the buyer’s complete required functionality.",
      "display_label": "Required functions currently delivered and available",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": "Named features do not establish availability of the buyer’s complete required functionality.",
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "resume",
      "canonical": "Save and resume an incomplete application",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Save and resume an incomplete application",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "document",
      "canonical": "Secure document collection, storage and retrieval",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": "Document functions are named; secure collection, storage and retrieval are not all established.",
      "display_label": "Secure document collection, storage and retrieval",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": "Document functions are named; secure collection, storage and retrieval are not all established.",
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "securitytest",
      "canonical": "Security testing and assessment evidence",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Security testing and assessment evidence",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "adverse",
      "canonical": "Specific adverse action reasons and explanations",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": "An adverse-action experience explains decisions; specific principal reasons are not demonstrated by this page.",
      "display_label": "Specific adverse action reasons and explanations",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": "An adverse action experience explains decisions; specific principal reasons are not demonstrated by this page.",
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "audit",
      "canonical": "Tamper-resistant activity and application audit trails",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Tamper resistant activity and application audit trails",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "task_management",
      "canonical": "Task management",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Task management",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "recoverytest",
      "canonical": "Tested restoration and recovery evidence",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Tested restoration and recovery evidence",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "export",
      "canonical": "Usable complete data exports including documents and audit history",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Usable complete data exports including documents and audit history",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "references_general",
      "canonical": "Vendor references and case studies",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Vendor references and case studies",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "retention",
      "canonical": "Application record retention rules and history",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Application record retention rules and history",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "decision_audit",
      "canonical": "Auditable lending decisions",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": "Logs or decisions are mentioned; decision-specific auditability is not established.",
      "display_label": "Auditable lending decisions",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": "Logs or decisions are mentioned; decision specific auditability is not established.",
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "connected_data",
      "canonical": "Connected data without duplicate entry or silos",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Connected data without duplicate entry or silos",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "lender_connections",
      "canonical": "Connections with wholesale lenders",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Connections with wholesale lenders",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "credit_decisions",
      "canonical": "Credit decisioning",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Credit decisioning",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "Powerful consumer lending software for fast, accurate loan processing and approvals",
          "start": 2561,
          "end": 2644,
          "quote_sha256": "1257c3313a5c15bf819400249cf1c7631ed5546c26b0f4c3eec1a5145b91a81e"
        }
      ]
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "approval_authority",
      "canonical": "Defined approval authority and limits",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": "Decisions or approvals are mentioned; authority and limits are not specified.",
      "display_label": "Defined approval authority and limits",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": "Decisions or approvals are mentioned; authority and limits are not specified.",
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "document_collection",
      "canonical": "Document collection",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Document collection",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "document_requests",
      "canonical": "Document requests and checklists",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Document requests and checklists",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "docgeneration",
      "canonical": "Dynamic document generation",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Dynamic document generation",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "failure_handling",
      "canonical": "Handling integration failures",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": "Connections are named; failure handling is not described.",
      "display_label": "Handling integration failures",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": "Connections are named; failure handling is not described.",
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "servicing_handoff",
      "canonical": "Handoff from origination to servicing",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Handoff from origination to servicing",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "human_override",
      "canonical": "Human overrides of automated decisions",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": "Human control is mentioned; overrides of automated decisions are not established.",
      "display_label": "Human overrides of automated decisions",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": "Human control is mentioned; overrides of automated decisions are not established.",
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "implementation_timing",
      "canonical": "Implementation duration",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Implementation duration",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "assurance_reports",
      "canonical": "Independent security assurance reports",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Independent security assurance reports",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "kyc",
      "canonical": "Know-your-customer and anti-money-laundering controls",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": "AML or identity verification is mentioned; KYC and AML controls together are not established.",
      "display_label": "Know your customer and anti money laundering controls",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": "AML or identity verification is mentioned; KYC and AML controls together are not established.",
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "loan_servicing",
      "canonical": "Loan servicing",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": "Portfolio management is described; loan servicing behavior is not established.",
      "display_label": "Loan servicing",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": "Portfolio management is described; loan servicing behavior is not established.",
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "process_metrics",
      "canonical": "Measured completion time, manual work and errors",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Measured completion time, manual work and errors",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "mobile_access",
      "canonical": "Mobile borrower access",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Mobile borrower access",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "mobile_or_channels",
      "canonical": "Mobile-friendly or multi-channel onboarding",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": "A product or channel is described; the buyer’s alternative onboarding requirement is not fully resolved.",
      "display_label": "Mobile friendly or multi channel onboarding",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": "A product or channel is described; the buyer’s alternative onboarding requirement is not fully resolved.",
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "borrowers_guarantors",
      "canonical": "Multiple borrowers and guarantors",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Multiple borrowers and guarantors",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "uptime_reliable",
      "canonical": "Reliable service availability",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Reliable service availability",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "remote",
      "canonical": "Remote access to lending operations",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Remote access to lending operations",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "uptime_history",
      "canonical": "System uptime history",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "System uptime history",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "export_general",
      "canonical": "Usable lending data exports",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Usable lending data exports",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "vendor_financial",
      "canonical": "Vendor financial stability",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Vendor financial stability",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "test_environment",
      "canonical": "A usable integration test environment",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "A usable integration test environment",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "api_documentation",
      "canonical": "API documentation",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "API documentation",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "native_or_api",
      "canonical": "APIs or built-in integrations",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "APIs or built in integrations",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "dataaccess",
      "canonical": "Accessible underlying lending data",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Accessible underlying lending data",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "Automated, secure access to structured origination data for faster, smarter decisions.",
          "start": 2952,
          "end": 3038,
          "quote_sha256": "1259036fd143af4760fe11fdd8b2bb0dccd9146810db1066630a6a56cd2e1e08"
        }
      ]
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "accessible",
      "canonical": "Accessible user interfaces",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Accessible user interfaces",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "disclosure_accuracy",
      "canonical": "Accurate lending disclosures",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Accurate lending disclosures",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "consent",
      "canonical": "Application consent records",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Application consent records",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "turnaround_reporting",
      "canonical": "Application conversion and turnaround reporting",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Application conversion and turnaround reporting",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "dynamicforms",
      "canonical": "Application forms that adapt to borrower answers",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Application forms that adapt to borrower answers",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "decision_reporting",
      "canonical": "Approval, denial, override and exception reporting",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Approval, denial, override and exception reporting",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "updates",
      "canonical": "Automatic or ongoing software updates",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Automatic or ongoing software updates",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "backup",
      "canonical": "Backups and disaster recovery arrangements",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Backups and disaster recovery arrangements",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "borrower_experience",
      "canonical": "Borrower and member experience",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Borrower and member experience",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "With MeridianLink, your team can deliver fast, seamless digital experiences across loan origination, digital mortgages, and deposit account opening without sacrificing the personal connection that set your community institution apart.",
          "start": 6623,
          "end": 6857,
          "quote_sha256": "f14676e87aa70caf77cf3a80c52c3cad7882ff4d5cdb637885c8dba3e337fc87"
        }
      ]
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "risk_retail_or_crm",
      "canonical": "Choice of commercial risk, retail efficiency or CRM integration",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": "This is a buyer-specific architectural choice, priority or system-boundary requirement. The saved page cannot settle it for the buyer.",
      "display_label": "Choice of commercial risk, retail efficiency or CRM integration",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": "This is a buyer specific architectural choice, priority or system boundary requirement. The saved page cannot settle it for the buyer.",
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "system_boundaries",
      "canonical": "Clear boundaries between LOS and separate systems",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": "This is a buyer-specific architectural choice, priority or system-boundary requirement. The saved page cannot settle it for the buyer.",
      "display_label": "Clear boundaries between LOS and separate systems",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": "This is a buyer specific architectural choice, priority or system boundary requirement. The saved page cannot settle it for the buyer.",
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "corporate_entities",
      "canonical": "Complex corporate entity structures",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Complex corporate entity structures",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "reportconfig",
      "canonical": "Configurable dashboards and reports",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": "Widgets or analytics are mentioned; configurable reports and dashboards are not all established.",
      "display_label": "Configurable dashboards and reports",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": "Widgets or analytics are mentioned; configurable reports and dashboards are not all established.",
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "pricing",
      "canonical": "Configurable loan pricing and eligibility rules",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": "Pricing is mentioned; configurable pricing and eligibility rules together are not established.",
      "display_label": "Configurable loan pricing and eligibility rules",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": "Pricing is mentioned; configurable pricing and eligibility rules together are not established.",
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "custom_effort",
      "canonical": "Configuration and customization effort",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Configuration and customization effort",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "data_tool_connections",
      "canonical": "Connections with data warehouses and reporting tools",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Connections with data warehouses and reporting tools",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "channel_connections",
      "canonical": "Connections with digital self-service channels",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Connections with digital self service channels",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "integrationfailure",
      "canonical": "Controlled integration failures, retries and duplicate handling",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": "Connections are named; failures, retries and duplicate handling are not described.",
      "display_label": "Controlled integration failures, retries and duplicate handling",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": "Connections are named; failures, retries and duplicate handling are not described.",
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "cost_reporting",
      "canonical": "Cost per funded loan reporting",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Cost per funded loan reporting",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "risk_scoring",
      "canonical": "Credit risk scoring",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Credit risk scoring",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "data_exchange",
      "canonical": "Data exchange between connected systems",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Data exchange between connected systems",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "migration_help",
      "canonical": "Data migration support",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Data migration support",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "sync",
      "canonical": "Defined data exchange and reconciliation",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": "Shared data or exchange is mentioned; defined exchange and reconciliation together are not established.",
      "display_label": "Defined data exchange and reconciliation",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": "Shared data or exchange is mentioned; defined exchange and reconciliation together are not established.",
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "export_terms",
      "canonical": "Defined export formats and fees",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Defined export formats and fees",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "support_hours",
      "canonical": "Defined support hours",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": "Support is named; exact hours are not supplied.",
      "display_label": "Defined support hours",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": "Support is named; exact hours are not supplied.",
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "document_security",
      "canonical": "Document security",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Document security",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "document_versions",
      "canonical": "Document version history",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Document version history",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "security",
      "canonical": "Documented protection of sensitive borrower data",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": "Security is claimed; complete documented protection is not supplied on the saved page.",
      "display_label": "Documented protection of sensitive borrower data",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": "Security is claimed; complete documented protection is not supplied on the saved page.",
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "uptime",
      "canonical": "Documented system uptime and service commitments",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Documented system uptime and service commitments",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "spreading",
      "canonical": "Financial spreading and global cash flow analysis",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Financial spreading and global cash flow analysis",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "financial_spreading",
      "canonical": "Financial statement spreading",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Financial statement spreading",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "global_cashflow",
      "canonical": "Global cash flow analysis",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Global cash flow analysis",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "scale",
      "canonical": "Growth in loan volume and additional products or channels",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": "Growth is described; capacity for additional volume together with new products or channels is not fully established.",
      "display_label": "Growth in loan volume and additional products or channels",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": "Growth is described; capacity for additional volume together with new products or channels is not fully established.",
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "subcontractor_dependencies",
      "canonical": "Identified subcontractor dependencies",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Identified subcontractor dependencies",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "advisory_support",
      "canonical": "Implementation and advisory support",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Implementation and advisory support",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "Expert guidance and tailored support to optimize product performance and improve operation.",
          "start": 3322,
          "end": 3413,
          "quote_sha256": "71decc9c600eaffb210ce74772eb491991c4506c4a0cd64114073791dd72eff1"
        }
      ]
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "implementation_cost",
      "canonical": "Implementation costs",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Implementation costs",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "securityproof",
      "canonical": "Independent security assurance reports including scope and exceptions",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Independent security assurance reports including scope and exceptions",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "loan_pricing",
      "canonical": "Loan pricing logic",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Loan pricing logic",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "stage_tracking",
      "canonical": "Loan workflow stage tracking",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Loan workflow stage tracking",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "entities",
      "canonical": "Multiple borrowers, business entities and guarantors",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Multiple borrowers, business entities and guarantors",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "multi_guarantors",
      "canonical": "Multiple guarantors",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Multiple guarantors",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "regupdates",
      "canonical": "Ongoing regulatory updates with defined responsibilities",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": "Regulatory support is mentioned; update responsibilities are not defined.",
      "display_label": "Ongoing regulatory updates with defined responsibilities",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": "Regulatory support is mentioned; update responsibilities are not defined.",
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "vendor_oversight",
      "canonical": "Ongoing vendor oversight",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Ongoing vendor oversight",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "migration_downtime",
      "canonical": "Operational downtime during migration",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Operational downtime during migration",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "operational_reporting",
      "canonical": "Operational lending reporting",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Operational lending reporting",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "support",
      "canonical": "Post-launch support and escalation commitments",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": "Support is available; post-launch escalation commitments are not established.",
      "display_label": "Post launch support and escalation commitments",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": "Support is available; post launch escalation commitments are not established.",
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "realtimereport",
      "canonical": "Real time reporting data",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": "Insights or current data are mentioned; real-time reporting is not established.",
      "display_label": "Real time reporting data",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": "Insights or current data are mentioned; real time reporting is not established.",
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "realtime_exchange",
      "canonical": "Real-time data exchange",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Real time data exchange",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "reconciliation",
      "canonical": "Reconciliation of integration data and errors",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Reconciliation of integration data and errors",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "application_history",
      "canonical": "Reconstructable application history",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Reconstructable application history",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "decisionhistory",
      "canonical": "Reconstructable decision inputs, rules, versions and overrides",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": "Decisions and logs are mentioned; complete reconstructable inputs, rules, versions and overrides are not established.",
      "display_label": "Reconstructable decision inputs, rules, versions and overrides",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": "Decisions and logs are mentioned; complete reconstructable inputs, rules, versions and overrides are not established.",
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "decision_reconstruction",
      "canonical": "Reconstructable history of data, rules, decisions and communications",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": "Logs or decisions are mentioned; reconstructable data, rules, decisions and communications together are not established.",
      "display_label": "Reconstructable history of data, rules, decisions and communications",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": "Logs or decisions are mentioned; reconstructable data, rules, decisions and communications together are not established.",
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "approval_records",
      "canonical": "Recorded approvals",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Recorded approvals",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "regulatory_reporting",
      "canonical": "Regulatory lending reporting",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Regulatory lending reporting",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "decision_reproduce",
      "canonical": "Reproducible lending decisions",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Reproducible lending decisions",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "staff_time",
      "canonical": "Required internal implementation staff time",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Required internal implementation staff time",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "aicontrol",
      "canonical": "Reviewable, explainable and disableable AI decisions",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": "Governance or human control is mentioned; review, explanation and disabling AI decisions together are not established.",
      "display_label": "Reviewable, explainable and disableable AI decisions",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": "Governance or human control is mentioned; review, explanation and disabling AI decisions together are not established.",
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "secure_esign",
      "canonical": "Secure electronic signatures",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Secure electronic signatures",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "work_queues",
      "canonical": "Staff work queues",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Staff work queues",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "support_escalation",
      "canonical": "Support escalation procedures",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": "Support is mentioned; escalation procedures are not established.",
      "display_label": "Support escalation procedures",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": "Support is mentioned; escalation procedures are not established.",
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "relationship_lending",
      "canonical": "Support for relationship-based lending",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Support for relationship based lending",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "support_response",
      "canonical": "Support response commitments",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": "Support is named; response commitments are not supplied.",
      "display_label": "Support response commitments",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": "Support is named; response commitments are not supplied.",
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "routing",
      "canonical": "Task routing and escalation",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": "Workflow tools are mentioned; task routing, escalation and stage control are not all established.",
      "display_label": "Task routing and escalation",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": "Workflow tools are mentioned; task routing, escalation and stage control are not all established.",
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "rulehistory",
      "canonical": "Tested rule changes with version history and rollback",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Tested rule changes with version history and rollback",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "decision_trace",
      "canonical": "Traceable decision versions, overrides and reasons",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": "Decisions and logs are mentioned; versions, overrides and reasons are not all established.",
      "display_label": "Traceable decision versions, overrides and reasons",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": "Decisions and logs are mentioned; versions, overrides and reasons are not all established.",
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "central_reporting",
      "canonical": "Unified reporting tools",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Unified reporting tools",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "customer_view",
      "canonical": "Unified view of customer information",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Unified view of customer information",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "MeridianLink",
      "criterion_id": "workload_reporting",
      "canonical": "Workload and bottleneck reporting",
      "page_url": "https://meridianlink.com/",
      "page_read_utc": "2026-10-08T19:15:03.992878+00:00",
      "page_sha256": "96d4418ed79a0465c420e810646da59d73a850752b77800329327d7789f9ecfe",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level product suite. Pathway adverse-action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high-volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason": null,
      "display_label": "Workload and bottleneck reporting",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level product suite. Pathway adverse action experience, Data Connect data access, Access configuration, Consumer approvals, Consulting and partner verification tools have distinct scopes. TazWorks background screening is not silently treated as loan origination. Customer testimonials, high volume outcome counts and claimed compliance are assertions, not independent testing or guaranteed buyer fit.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "9164af7a101e88396d5865106f880423cbbb395413c41daceced62537ba93768",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "fit",
      "canonical": "Fit with the lender’s stated products and operating needs",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": "Named products and audiences do not establish fit to the actual lender’s operations.",
      "display_label": "Fit with the lender’s stated products and operating needs",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": "Named products and audiences do not establish fit to the actual lender’s operations.",
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "compliance",
      "canonical": "Applicable lending and jurisdictional compliance controls",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Applicable lending and jurisdictional compliance controls",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "ICE helps lenders, servicers and real estate professionals compete successfully through product innovation, reliability, security and compliance support.",
          "start": 636,
          "end": 789,
          "quote_sha256": "1e5f0f6ae5b80c56ac0d4d521ecfcb47243bb7f5bcb16f1e785be71b254534fd"
        }
      ]
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "workflow_config",
      "canonical": "Configurable lending workflows",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": "A product or workspace is configurable; configurable lending workflow scope is not established.",
      "display_label": "Configurable lending workflows",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": "A product or workspace is configurable; configurable lending workflow scope is not established.",
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "totalcost",
      "canonical": "Full total cost of ownership",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": "Product or package information is present; full ownership costs are not supplied.",
      "display_label": "Full total cost of ownership",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": "Product or package information is present; full ownership costs are not supplied.",
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "activity_logs",
      "canonical": "Application and activity audit logs",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Application and activity audit logs",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "Live now: choose the score model for each loan, with a full audit trail",
          "start": 8372,
          "end": 8443,
          "quote_sha256": "0d3be43f84b4d05906e8f3b0cdf68903480dd354f360e27b4a518dff8d3e930f"
        }
      ]
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "integration_general",
      "canonical": "Connections with the lender’s existing systems",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Connections with the lender’s existing systems",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "Partner Network/Integrations",
          "start": 9092,
          "end": 9120,
          "quote_sha256": "fe795c54ae5f0e284a73916f91e607d7ca4a0d910c5543643d4f46d16917a43b"
        }
      ]
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "underwrite",
      "canonical": "Underwriting and credit assessment support",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Underwriting and credit assessment support",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "A robust mortgage fraud and property research solution designed to help lenders identify risk and accelerate underwriting.",
          "start": 7977,
          "end": 8099,
          "quote_sha256": "8adb07d9e8541fb1cd767c40c6f6fd770391259317af83676a527652cdeb94be"
        }
      ]
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "automation",
      "canonical": "Automation of repetitive loan processing work",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Automation of repetitive loan processing work",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "Using intelligent document recognition and data extraction technologies to perform document review and assignment behind-the-scenes; Mortgage Analyzers interrogate the extracted data from documents against the information in your loan origination system and presents the exceptions for review.",
          "start": 3649,
          "end": 3942,
          "quote_sha256": "0a62d84200b72fca6cc9a82c85b0ec1dd3620b1e473514b83cbe74335221a5fb"
        }
      ]
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "nocode",
      "canonical": "Configuration without extensive custom programming",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": "Configuration or automation is mentioned; freedom from extensive custom programming is not established.",
      "display_label": "Configuration without extensive custom programming",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": "Configuration or automation is mentioned; freedom from extensive custom programming is not established.",
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "volume_growth",
      "canonical": "Growth in lending volumes",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Growth in lending volumes",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "Eliminate the complexities of lending and investing at scale with the only true end-to-end digital mortgage solution that allows you to acquire more customers and originate, sell, and purchase loans faster - all from a single system of record.",
          "start": 3045,
          "end": 3288,
          "quote_sha256": "8eeb78bc81841727d7149869cf0141c5b490641e0fc778d930c647e912213614"
        }
      ]
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "core_connections",
      "canonical": "Core banking connections",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Core banking connections",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "cloud",
      "canonical": "Cloud based infrastructure",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Cloud based infrastructure",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "unified",
      "canonical": "Connected lending lifecycle from application to funding or servicing",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": "An end-to-end platform or connected journey is described; application-to-funding/servicing coverage is not fully established.",
      "display_label": "Connected lending lifecycle from application to funding or servicing",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": "An end to end platform or connected journey is described; application to funding/servicing coverage is not fully established.",
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "bureau_connections",
      "canonical": "Credit bureau connections",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Credit bureau connections",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "encrypt",
      "canonical": "Data encryption",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Data encryption",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "intake",
      "canonical": "Digital loan application intake",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Digital loan application intake",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "Easily complete an online mortgage application, instantly engage with their loan officer, and securely upload and eSign documents.",
          "start": 2320,
          "end": 2450,
          "quote_sha256": "9837fb350939368f92f1966ed90c9b7065d47754a6ad03e339298c0a47cc3c70"
        }
      ]
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "verification_connections",
      "canonical": "Identity, fraud, income or asset verification connections",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Identity, fraud, income or asset verification connections",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "multi_channel",
      "canonical": "Digital and assisted origination channels",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Digital and assisted origination channels",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "usable",
      "canonical": "Ease of use for borrowers and lending staff",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": "Borrower or staff ease is discussed; ease for both groups together is not established.",
      "display_label": "Ease of use for borrowers and lending staff",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": "Borrower or staff ease is discussed; ease for both groups together is not established.",
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "funding_general",
      "canonical": "Loan funding workflows",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": "Origination-to-funding flow is mentioned; funding workflows are not described.",
      "display_label": "Loan funding workflows",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": "Origination to funding flow is mentioned; funding workflows are not described.",
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "decision_rules",
      "canonical": "Rules-based decisioning",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": "Automated decisions are mentioned; a rules engine is not established.",
      "display_label": "Rules based decisioning",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": "Automated decisions are mentioned; a rules engine is not established.",
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "integrate",
      "canonical": "Working core banking, bureau and business system connections",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": "Some integrations are named; working core banking, bureau and business connections together are not established.",
      "display_label": "Working core banking, bureau and business system connections",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": "Some integrations are named; working core banking, bureau and business connections together are not established.",
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "system_config",
      "canonical": "Configurable system functionality",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Configurable system functionality",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "architecture",
      "canonical": "Deployment architecture suited to IT and data requirements",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": "This is a buyer-specific architectural choice, priority or system-boundary requirement. The saved page cannot settle it for the buyer.",
      "display_label": "Deployment architecture suited to IT and data requirements",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": "This is a buyer specific architectural choice, priority or system boundary requirement. The saved page cannot settle it for the buyer.",
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "borrower_usable",
      "canonical": "Ease of use for borrowers",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Ease of use for borrowers",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "staff_usable",
      "canonical": "Ease of use for lending staff",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Ease of use for lending staff",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "reg_updates",
      "canonical": "Ongoing regulatory updates",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Ongoing regulatory updates",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "performance",
      "canonical": "Performance under peak lending volumes",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": "Scale or customer volume outcomes are mentioned; peak-volume performance is not documented.",
      "display_label": "Performance under peak lending volumes",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": "Scale or customer volume outcomes are mentioned; peak volume performance is not documented.",
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "security_general",
      "canonical": "Protection of sensitive borrower data",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Protection of sensitive borrower data",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "Our technology runs on the same security architecture that underpins global financial markets — with transparency and controls to protect mortgage loan data.",
          "start": 7313,
          "end": 7470,
          "quote_sha256": "935eca7787e489f7bf020066b1fe71ab122b70d7e307e3159f91f3e8bea0e36a"
        }
      ]
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "task_routing",
      "canonical": "Task routing",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Task routing",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "integrationproof",
      "canonical": "Tested working integrations",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": "Partner links or connection claims are not a demonstration of working integrations.",
      "display_label": "Tested working integrations",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": "Partner links or connection claims are not a demonstration of working integrations.",
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "mobile_apply",
      "canonical": "Mobile borrower applications and onboarding",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Mobile borrower applications and onboarding",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "notices",
      "canonical": "Required disclosures, notices and deadline tracking",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": "Disclosures or adverse-action functionality are mentioned; required notices and deadline tracking are not all established.",
      "display_label": "Required disclosures, notices and deadline tracking",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": "Disclosures or adverse action functionality are mentioned; required notices and deadline tracking are not all established.",
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "disclosures",
      "canonical": "Required lending disclosures and notices",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Required lending disclosures and notices",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "permissions",
      "canonical": "Role-based access restrictions",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Role based access restrictions",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "complex_structures",
      "canonical": "Support for required complex loan structures",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": "Multiple loan products or complex lending are mentioned; specific complex loan-structure support is not described.",
      "display_label": "Support for required complex loan structures",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": "Multiple loan products or complex lending are mentioned; specific complex loan structure support is not described.",
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "api_general",
      "canonical": "Supported APIs",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": "An integration gateway or developer portal is named; supported API behavior is not documented here.",
      "display_label": "Supported APIs",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": "An integration gateway or developer portal is named; supported API behavior is not documented here.",
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "api_connectors",
      "canonical": "APIs and prebuilt connectors",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": "APIs or partners are named; APIs and supported prebuilt connectors together are not established.",
      "display_label": "APIs and prebuilt connectors",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": "APIs or partners are named; APIs and supported prebuilt connectors together are not established.",
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "data_verification",
      "canonical": "Application data verification",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Application data verification",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "Using intelligent document recognition and data extraction technologies to perform document review and assignment behind-the-scenes; Mortgage Analyzers interrogate the extracted data from documents against the information in your loan origination system and presents the exceptions for review.",
          "start": 3649,
          "end": 3942,
          "quote_sha256": "0a62d84200b72fca6cc9a82c85b0ec1dd3620b1e473514b83cbe74335221a5fb"
        }
      ]
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "portal",
      "canonical": "Borrower digital portal",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Borrower digital portal",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "Provide your borrowers with fast, simple and seamless access to loan and home-related information – anytime, anywhere.",
          "start": 6398,
          "end": 6516,
          "quote_sha256": "5c4c31e5fb60fb1de5beb3baff44be9673885eb39b2572adec5a9d312a9ab1de"
        }
      ]
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "upload",
      "canonical": "Borrower document upload",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Borrower document upload",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "Easily complete an online mortgage application, instantly engage with their loan officer, and securely upload and eSign documents.",
          "start": 2320,
          "end": 2450,
          "quote_sha256": "9837fb350939368f92f1966ed90c9b7065d47754a6ad03e339298c0a47cc3c70"
        }
      ]
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "funding",
      "canonical": "Closing and funding workflows",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": "Closing or funding is described; both sets of workflows are not established.",
      "display_label": "Closing and funding workflows",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": "Closing or funding is described; both sets of workflows are not established.",
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "collateral",
      "canonical": "Collateral management",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Collateral management",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "credit_config",
      "canonical": "Configurable credit policies and decision rules",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Configurable credit policies and decision rules",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "business_connections",
      "canonical": "Connections with business tools such as CRM and documents",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Connections with business tools such as CRM and documents",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "ease_general",
      "canonical": "Ease of use",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Ease of use",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "onboarding_help",
      "canonical": "Implementation and onboarding assistance",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Implementation and onboarding assistance",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "integration_cost",
      "canonical": "Integration costs",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Integration costs",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "closing_general",
      "canonical": "Loan closing workflows",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Loan closing workflows",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "ICE Mortgage Technology® is changing how mortgages are closed. Experience document ordering, borrower engagement, settlement agent collaboration, eSignatures, and beyond.",
          "start": 4326,
          "end": 4496,
          "quote_sha256": "b6caab36db7d47e1141b2de9c48f09e655adf840b58f016870ce9fb6fa6ca8ca"
        }
      ]
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "exception_handling",
      "canonical": "Manual review and exception handling",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Manual review and exception handling",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "Using intelligent document recognition and data extraction technologies to perform document review and assignment behind-the-scenes; Mortgage Analyzers interrogate the extracted data from documents against the information in your loan origination system and presents the exceptions for review.",
          "start": 3649,
          "end": 3942,
          "quote_sha256": "0a62d84200b72fca6cc9a82c85b0ec1dd3620b1e473514b83cbe74335221a5fb"
        }
      ]
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "pricing_units",
      "canonical": "Pricing by users, portfolio volume and fees",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Pricing by users, portfolio volume and fees",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "vendor_experience",
      "canonical": "Relevant lending experience and track record",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Relevant lending experience and track record",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "train",
      "canonical": "Staff training",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": "Education resources are linked; software staff training is not established by the link alone.",
      "display_label": "Staff training",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": "Education resources are linked; software staff training is not established by the link alone.",
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "loan_types",
      "canonical": "Support for multiple loan types",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Support for multiple loan types",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "Best-in-class servicing solutions to help manage all aspects of loan servicing — from loan boarding to default. Transform your performance with automation and insights, and enhance the customer experience. Our solutions support first mortgages as well as home equity loans, and help servicers lower costs, reduce risk and operate more efficiently.",
          "start": 5684,
          "end": 6031,
          "quote_sha256": "1bba7e44b2555d6f4bdbf4b65bccf7adc943d2cc573e7de045adfd43727f6d83"
        }
      ]
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "vendor_viability",
      "canonical": "Vendor viability and resilience",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Vendor viability and resilience",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "exception_alerts",
      "canonical": "Alerts for policy and compliance exceptions",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Alerts for policy and compliance exceptions",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "autorules",
      "canonical": "Automated credit decision rules and scoring",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": "Automation or decisions are described; credit rules and scoring together are not established.",
      "display_label": "Automated credit decision rules and scoring",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": "Automation or decisions are described; credit rules and scoring together are not established.",
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "status",
      "canonical": "Borrower application status visibility",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Borrower application status visibility",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "origination_complete",
      "canonical": "Complete origination functionality",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Complete origination functionality",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "Eliminate the complexities of lending and investing at scale with the only true end-to-end digital mortgage solution that allows you to acquire more customers and originate, sell, and purchase loans faster - all from a single system of record.",
          "start": 3045,
          "end": 3288,
          "quote_sha256": "8eeb78bc81841727d7149869cf0141c5b490641e0fc778d930c647e912213614"
        }
      ]
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "jurisdiction_config",
      "canonical": "Compliance workflows adapted by product or jurisdiction",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Compliance workflows adapted by product or jurisdiction",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "servicing_connections",
      "canonical": "Connections with loan servicing systems",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Connections with loan servicing systems",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "contract_length",
      "canonical": "Contract duration",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Contract duration",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "collaboration",
      "canonical": "Coordination among lending, credit and risk teams",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Coordination among lending, credit and risk teams",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "core_or_servicing",
      "canonical": "Core banking or loan servicing connections",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Core banking or loan servicing connections",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "affordable",
      "canonical": "Cost appropriate to lending volume and budget",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": "Marketing or cost claims do not establish affordability for this lender.",
      "display_label": "Cost appropriate to lending volume and budget",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": "Marketing or cost claims do not establish affordability for this lender.",
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "risk_management",
      "canonical": "Credit risk management",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Credit risk management",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "A robust mortgage fraud and property research solution designed to help lenders identify risk and accelerate underwriting.",
          "start": 7977,
          "end": 8099,
          "quote_sha256": "8adb07d9e8541fb1cd767c40c6f6fd770391259317af83676a527652cdeb94be"
        }
      ]
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "access_controls",
      "canonical": "Data access restrictions",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Data access restrictions",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "rpo",
      "canonical": "Defined maximum potential data loss",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Defined maximum potential data loss",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "integrationowner",
      "canonical": "Defined ownership, cost and maintenance of integrations",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": "Connections are named; ownership, costs and maintenance responsibilities are not supplied.",
      "display_label": "Defined ownership, cost and maintenance of integrations",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": "Connections are named; ownership, costs and maintenance responsibilities are not supplied.",
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "rto",
      "canonical": "Defined recovery time objectives",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Defined recovery time objectives",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "proof",
      "canonical": "Demonstrated performance using representative loan scenarios",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": "A demo offer or customer outcome claim is not a demonstrated test using representative buyer loan scenarios.",
      "display_label": "Demonstrated performance using representative loan scenarios",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": "A demo offer or customer outcome claim is not a demonstrated test using representative buyer loan scenarios.",
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "document_screening",
      "canonical": "Document screening and verification",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Document screening and verification",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "Using intelligent document recognition and data extraction technologies to perform document review and assignment behind-the-scenes; Mortgage Analyzers interrogate the extracted data from documents against the information in your loan origination system and presents the exceptions for review.",
          "start": 3649,
          "end": 3942,
          "quote_sha256": "0a62d84200b72fca6cc9a82c85b0ec1dd3620b1e473514b83cbe74335221a5fb"
        }
      ]
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "api",
      "canonical": "Documented APIs and supported connectors",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": "Developer resources or connections are named; documented APIs and supported connectors are not both established.",
      "display_label": "Documented APIs and supported connectors",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": "Developer resources or connections are named; documented APIs and supported connectors are not both established.",
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "migration",
      "canonical": "Documented migration plan and acceptance criteria",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Documented migration plan and acceptance criteria",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "esign",
      "canonical": "Electronic signature support",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Electronic signature support",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "Easily complete an online mortgage application, instantly engage with their loan officer, and securely upload and eSign documents.",
          "start": 2320,
          "end": 2450,
          "quote_sha256": "9837fb350939368f92f1966ed90c9b7065d47754a6ad03e339298c0a47cc3c70"
        },
        {
          "quote": "ICE Mortgage Technology® is changing how mortgages are closed. Experience document ordering, borrower engagement, settlement agent collaboration, eSignatures, and beyond.",
          "start": 4326,
          "end": 4496,
          "quote_sha256": "b6caab36db7d47e1141b2de9c48f09e655adf840b58f016870ce9fb6fa6ca8ca"
        }
      ]
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "incident_notification",
      "canonical": "Incident notification commitments",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Incident notification commitments",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "incident_response",
      "canonical": "Incident response procedures",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Incident response procedures",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "price",
      "canonical": "Included capabilities versus configuration or custom development",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": "Products and modules are named; included versus configured/custom scope is not fully supplied.",
      "display_label": "Included capabilities versus configuration or custom development",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": "Products and modules are named; included versus configured/custom scope is not fully supplied.",
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "report_general",
      "canonical": "Lending reporting and analytics",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Lending reporting and analytics",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "approval_steps",
      "canonical": "Loan approval workflows",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Loan approval workflows",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "document_handling",
      "canonical": "Loan document handling",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Loan document handling",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "mfa",
      "canonical": "Multifactor authentication",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Multifactor authentication",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "implementation_owner",
      "canonical": "Named implementation responsibilities",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Named implementation responsibilities",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "provider_oversight",
      "canonical": "Oversight of service providers",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Oversight of service providers",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "data_ownership",
      "canonical": "Ownership of lending data",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Ownership of lending data",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "report",
      "canonical": "Pipeline, portfolio and operational reporting",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": "Reports or analytics are mentioned; complete pipeline, portfolio and operational reporting is not established.",
      "display_label": "Pipeline, portfolio and operational reporting",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": "Reports or analytics are mentioned; complete pipeline, portfolio and operational reporting is not established.",
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "portfolio_management",
      "canonical": "Post-close loan portfolio management",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": "Servicing or insights are described; loan portfolio management scope is not established.",
      "display_label": "Post close loan portfolio management",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": "Servicing or insights are described; loan portfolio management scope is not established.",
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "support_general",
      "canonical": "Post-launch support",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Post launch support",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "Support Login",
          "start": 121,
          "end": 134,
          "quote_sha256": "f6e6e1455e71ab207a44ede8c6422a86171a7f7e82774f258025893469c1fcca"
        }
      ]
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "references",
      "canonical": "References and evidence from comparable lenders",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": "Named customer examples do not establish comparability to the actual lender.",
      "display_label": "References and evidence from comparable lenders",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": "Named customer examples do not establish comparability to the actual lender.",
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "contract",
      "canonical": "Renewal, termination and transition terms",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": "Limited terms or product information is present; renewal, termination and transition terms are not fully supplied.",
      "display_label": "Renewal, termination and transition terms",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": "Limited terms or product information is present; renewal, termination and transition terms are not fully supplied.",
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "available",
      "canonical": "Required functions currently delivered and available",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": "Named features do not establish availability of the buyer’s complete required functionality.",
      "display_label": "Required functions currently delivered and available",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": "Named features do not establish availability of the buyer’s complete required functionality.",
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "resume",
      "canonical": "Save and resume an incomplete application",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Save and resume an incomplete application",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "document",
      "canonical": "Secure document collection, storage and retrieval",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": "Document functions are named; secure collection, storage and retrieval are not all established.",
      "display_label": "Secure document collection, storage and retrieval",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": "Document functions are named; secure collection, storage and retrieval are not all established.",
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "securitytest",
      "canonical": "Security testing and assessment evidence",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": "Certifications or security architecture are mentioned; actual testing evidence is not supplied.",
      "display_label": "Security testing and assessment evidence",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": "Certifications or security architecture are mentioned; actual testing evidence is not supplied.",
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "adverse",
      "canonical": "Specific adverse action reasons and explanations",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Specific adverse action reasons and explanations",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "audit",
      "canonical": "Tamper-resistant activity and application audit trails",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": "Audit logs are mentioned; tamper resistance is not established.",
      "display_label": "Tamper resistant activity and application audit trails",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": "Audit logs are mentioned; tamper resistance is not established.",
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "task_management",
      "canonical": "Task management",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Task management",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "recoverytest",
      "canonical": "Tested restoration and recovery evidence",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Tested restoration and recovery evidence",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "export",
      "canonical": "Usable complete data exports including documents and audit history",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Usable complete data exports including documents and audit history",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "references_general",
      "canonical": "Vendor references and case studies",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Vendor references and case studies",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "retention",
      "canonical": "Application record retention rules and history",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Application record retention rules and history",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "decision_audit",
      "canonical": "Auditable lending decisions",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": "Logs or decisions are mentioned; decision-specific auditability is not established.",
      "display_label": "Auditable lending decisions",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": "Logs or decisions are mentioned; decision specific auditability is not established.",
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "connected_data",
      "canonical": "Connected data without duplicate entry or silos",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Connected data without duplicate entry or silos",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "Eliminate the complexities of lending and investing at scale with the only true end-to-end digital mortgage solution that allows you to acquire more customers and originate, sell, and purchase loans faster - all from a single system of record.",
          "start": 3045,
          "end": 3288,
          "quote_sha256": "8eeb78bc81841727d7149869cf0141c5b490641e0fc778d930c647e912213614"
        }
      ]
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "lender_connections",
      "canonical": "Connections with wholesale lenders",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Connections with wholesale lenders",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "credit_decisions",
      "canonical": "Credit decisioning",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Credit decisioning",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "approval_authority",
      "canonical": "Defined approval authority and limits",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": "Decisions or approvals are mentioned; authority and limits are not specified.",
      "display_label": "Defined approval authority and limits",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": "Decisions or approvals are mentioned; authority and limits are not specified.",
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "document_collection",
      "canonical": "Document collection",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Document collection",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "document_requests",
      "canonical": "Document requests and checklists",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Document requests and checklists",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "docgeneration",
      "canonical": "Dynamic document generation",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Dynamic document generation",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "failure_handling",
      "canonical": "Handling integration failures",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": "Connections are named; failure handling is not described.",
      "display_label": "Handling integration failures",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": "Connections are named; failure handling is not described.",
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "servicing_handoff",
      "canonical": "Handoff from origination to servicing",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Handoff from origination to servicing",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "human_override",
      "canonical": "Human overrides of automated decisions",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": "Human control is mentioned; overrides of automated decisions are not established.",
      "display_label": "Human overrides of automated decisions",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": "Human control is mentioned; overrides of automated decisions are not established.",
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "implementation_timing",
      "canonical": "Implementation duration",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Implementation duration",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "assurance_reports",
      "canonical": "Independent security assurance reports",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Independent security assurance reports",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "kyc",
      "canonical": "Know-your-customer and anti-money-laundering controls",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Know your customer and anti money laundering controls",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "loan_servicing",
      "canonical": "Loan servicing",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Loan servicing",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "Best-in-class servicing solutions to help manage all aspects of loan servicing — from loan boarding to default. Transform your performance with automation and insights, and enhance the customer experience. Our solutions support first mortgages as well as home equity loans, and help servicers lower costs, reduce risk and operate more efficiently.",
          "start": 5684,
          "end": 6031,
          "quote_sha256": "1bba7e44b2555d6f4bdbf4b65bccf7adc943d2cc573e7de045adfd43727f6d83"
        }
      ]
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "process_metrics",
      "canonical": "Measured completion time, manual work and errors",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Measured completion time, manual work and errors",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "mobile_access",
      "canonical": "Mobile borrower access",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Mobile borrower access",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "mobile_or_channels",
      "canonical": "Mobile-friendly or multi-channel onboarding",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": "A product or channel is described; the buyer’s alternative onboarding requirement is not fully resolved.",
      "display_label": "Mobile friendly or multi channel onboarding",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": "A product or channel is described; the buyer’s alternative onboarding requirement is not fully resolved.",
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "borrowers_guarantors",
      "canonical": "Multiple borrowers and guarantors",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Multiple borrowers and guarantors",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "uptime_reliable",
      "canonical": "Reliable service availability",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Reliable service availability",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "remote",
      "canonical": "Remote access to lending operations",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Remote access to lending operations",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "uptime_history",
      "canonical": "System uptime history",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "System uptime history",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "export_general",
      "canonical": "Usable lending data exports",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Usable lending data exports",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "vendor_financial",
      "canonical": "Vendor financial stability",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Vendor financial stability",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "test_environment",
      "canonical": "A usable integration test environment",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "A usable integration test environment",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "api_documentation",
      "canonical": "API documentation",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "API documentation",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "native_or_api",
      "canonical": "APIs or built-in integrations",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "APIs or built in integrations",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "dataaccess",
      "canonical": "Accessible underlying lending data",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Accessible underlying lending data",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "accessible",
      "canonical": "Accessible user interfaces",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Accessible user interfaces",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "disclosure_accuracy",
      "canonical": "Accurate lending disclosures",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Accurate lending disclosures",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "consent",
      "canonical": "Application consent records",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Application consent records",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "turnaround_reporting",
      "canonical": "Application conversion and turnaround reporting",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Application conversion and turnaround reporting",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "dynamicforms",
      "canonical": "Application forms that adapt to borrower answers",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Application forms that adapt to borrower answers",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "decision_reporting",
      "canonical": "Approval, denial, override and exception reporting",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Approval, denial, override and exception reporting",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "updates",
      "canonical": "Automatic or ongoing software updates",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Automatic or ongoing software updates",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "backup",
      "canonical": "Backups and disaster recovery arrangements",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Backups and disaster recovery arrangements",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "borrower_experience",
      "canonical": "Borrower and member experience",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Borrower and member experience",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "risk_retail_or_crm",
      "canonical": "Choice of commercial risk, retail efficiency or CRM integration",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": "This is a buyer-specific architectural choice, priority or system-boundary requirement. The saved page cannot settle it for the buyer.",
      "display_label": "Choice of commercial risk, retail efficiency or CRM integration",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": "This is a buyer specific architectural choice, priority or system boundary requirement. The saved page cannot settle it for the buyer.",
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "system_boundaries",
      "canonical": "Clear boundaries between LOS and separate systems",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": "This is a buyer-specific architectural choice, priority or system-boundary requirement. The saved page cannot settle it for the buyer.",
      "display_label": "Clear boundaries between LOS and separate systems",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": "This is a buyer specific architectural choice, priority or system boundary requirement. The saved page cannot settle it for the buyer.",
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "corporate_entities",
      "canonical": "Complex corporate entity structures",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Complex corporate entity structures",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "reportconfig",
      "canonical": "Configurable dashboards and reports",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": "Widgets or analytics are mentioned; configurable reports and dashboards are not all established.",
      "display_label": "Configurable dashboards and reports",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": "Widgets or analytics are mentioned; configurable reports and dashboards are not all established.",
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "pricing",
      "canonical": "Configurable loan pricing and eligibility rules",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": "Pricing is mentioned; configurable pricing and eligibility rules together are not established.",
      "display_label": "Configurable loan pricing and eligibility rules",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": "Pricing is mentioned; configurable pricing and eligibility rules together are not established.",
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "custom_effort",
      "canonical": "Configuration and customization effort",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Configuration and customization effort",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "data_tool_connections",
      "canonical": "Connections with data warehouses and reporting tools",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Connections with data warehouses and reporting tools",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "channel_connections",
      "canonical": "Connections with digital self-service channels",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Connections with digital self service channels",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "integrationfailure",
      "canonical": "Controlled integration failures, retries and duplicate handling",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": "Connections are named; failures, retries and duplicate handling are not described.",
      "display_label": "Controlled integration failures, retries and duplicate handling",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": "Connections are named; failures, retries and duplicate handling are not described.",
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "cost_reporting",
      "canonical": "Cost per funded loan reporting",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Cost per funded loan reporting",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "risk_scoring",
      "canonical": "Credit risk scoring",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Credit risk scoring",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "data_exchange",
      "canonical": "Data exchange between connected systems",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Data exchange between connected systems",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "migration_help",
      "canonical": "Data migration support",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Data migration support",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "sync",
      "canonical": "Defined data exchange and reconciliation",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": "Shared data or exchange is mentioned; defined exchange and reconciliation together are not established.",
      "display_label": "Defined data exchange and reconciliation",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": "Shared data or exchange is mentioned; defined exchange and reconciliation together are not established.",
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "export_terms",
      "canonical": "Defined export formats and fees",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Defined export formats and fees",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "support_hours",
      "canonical": "Defined support hours",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": "Support is named; exact hours are not supplied.",
      "display_label": "Defined support hours",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": "Support is named; exact hours are not supplied.",
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "document_security",
      "canonical": "Document security",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": "Document handling is described; document-specific security behavior is not established.",
      "display_label": "Document security",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": "Document handling is described; document specific security behavior is not established.",
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "document_versions",
      "canonical": "Document version history",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Document version history",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "security",
      "canonical": "Documented protection of sensitive borrower data",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": "Security is claimed; complete documented protection is not supplied on the saved page.",
      "display_label": "Documented protection of sensitive borrower data",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": "Security is claimed; complete documented protection is not supplied on the saved page.",
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "uptime",
      "canonical": "Documented system uptime and service commitments",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": "Reliability or availability is mentioned; uptime history and service commitments are not supplied.",
      "display_label": "Documented system uptime and service commitments",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": "Reliability or availability is mentioned; uptime history and service commitments are not supplied.",
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "spreading",
      "canonical": "Financial spreading and global cash flow analysis",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Financial spreading and global cash flow analysis",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "financial_spreading",
      "canonical": "Financial statement spreading",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Financial statement spreading",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "global_cashflow",
      "canonical": "Global cash flow analysis",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Global cash flow analysis",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "scale",
      "canonical": "Growth in loan volume and additional products or channels",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": "Growth is described; capacity for additional volume together with new products or channels is not fully established.",
      "display_label": "Growth in loan volume and additional products or channels",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": "Growth is described; capacity for additional volume together with new products or channels is not fully established.",
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "subcontractor_dependencies",
      "canonical": "Identified subcontractor dependencies",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Identified subcontractor dependencies",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "advisory_support",
      "canonical": "Implementation and advisory support",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Implementation and advisory support",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "implementation_cost",
      "canonical": "Implementation costs",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Implementation costs",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "securityproof",
      "canonical": "Independent security assurance reports including scope and exceptions",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Independent security assurance reports including scope and exceptions",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "loan_pricing",
      "canonical": "Loan pricing logic",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Loan pricing logic",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "A robust, configurable and easy to use solution designed to calculate pricing options at the outset of the mortgage loan process.",
          "start": 5405,
          "end": 5534,
          "quote_sha256": "38e06cd4fb55fd03a759216a85dd052282d2c5119ef2880c63d5c1f954714ccf"
        }
      ]
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "stage_tracking",
      "canonical": "Loan workflow stage tracking",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Loan workflow stage tracking",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "entities",
      "canonical": "Multiple borrowers, business entities and guarantors",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Multiple borrowers, business entities and guarantors",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "multi_guarantors",
      "canonical": "Multiple guarantors",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Multiple guarantors",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "regupdates",
      "canonical": "Ongoing regulatory updates with defined responsibilities",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": "Regulatory support is mentioned; update responsibilities are not defined.",
      "display_label": "Ongoing regulatory updates with defined responsibilities",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": "Regulatory support is mentioned; update responsibilities are not defined.",
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "vendor_oversight",
      "canonical": "Ongoing vendor oversight",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Ongoing vendor oversight",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "migration_downtime",
      "canonical": "Operational downtime during migration",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Operational downtime during migration",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "operational_reporting",
      "canonical": "Operational lending reporting",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Operational lending reporting",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "support",
      "canonical": "Post-launch support and escalation commitments",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": "Support is available; post-launch escalation commitments are not established.",
      "display_label": "Post launch support and escalation commitments",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": "Support is available; post launch escalation commitments are not established.",
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "realtimereport",
      "canonical": "Real time reporting data",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": "Insights or current data are mentioned; real-time reporting is not established.",
      "display_label": "Real time reporting data",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": "Insights or current data are mentioned; real time reporting is not established.",
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "realtime_exchange",
      "canonical": "Real-time data exchange",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Real time data exchange",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "reconciliation",
      "canonical": "Reconciliation of integration data and errors",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Reconciliation of integration data and errors",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "application_history",
      "canonical": "Reconstructable application history",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Reconstructable application history",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "decisionhistory",
      "canonical": "Reconstructable decision inputs, rules, versions and overrides",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": "Decisions and logs are mentioned; complete reconstructable inputs, rules, versions and overrides are not established.",
      "display_label": "Reconstructable decision inputs, rules, versions and overrides",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": "Decisions and logs are mentioned; complete reconstructable inputs, rules, versions and overrides are not established.",
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "decision_reconstruction",
      "canonical": "Reconstructable history of data, rules, decisions and communications",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": "Logs or decisions are mentioned; reconstructable data, rules, decisions and communications together are not established.",
      "display_label": "Reconstructable history of data, rules, decisions and communications",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": "Logs or decisions are mentioned; reconstructable data, rules, decisions and communications together are not established.",
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "approval_records",
      "canonical": "Recorded approvals",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Recorded approvals",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "regulatory_reporting",
      "canonical": "Regulatory lending reporting",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Regulatory lending reporting",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "decision_reproduce",
      "canonical": "Reproducible lending decisions",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Reproducible lending decisions",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "staff_time",
      "canonical": "Required internal implementation staff time",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Required internal implementation staff time",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "aicontrol",
      "canonical": "Reviewable, explainable and disableable AI decisions",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": "Governance or human control is mentioned; review, explanation and disabling AI decisions together are not established.",
      "display_label": "Reviewable, explainable and disableable AI decisions",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": "Governance or human control is mentioned; review, explanation and disabling AI decisions together are not established.",
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "secure_esign",
      "canonical": "Secure electronic signatures",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Secure electronic signatures",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "work_queues",
      "canonical": "Staff work queues",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Staff work queues",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "support_escalation",
      "canonical": "Support escalation procedures",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": "Support is mentioned; escalation procedures are not established.",
      "display_label": "Support escalation procedures",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": "Support is mentioned; escalation procedures are not established.",
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "relationship_lending",
      "canonical": "Support for relationship-based lending",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Support for relationship based lending",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "support_response",
      "canonical": "Support response commitments",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": "Support is named; response commitments are not supplied.",
      "display_label": "Support response commitments",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": "Support is named; response commitments are not supplied.",
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "routing",
      "canonical": "Task routing and escalation",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": "Workflow tools are mentioned; task routing, escalation and stage control are not all established.",
      "display_label": "Task routing and escalation",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": "Workflow tools are mentioned; task routing, escalation and stage control are not all established.",
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "rulehistory",
      "canonical": "Tested rule changes with version history and rollback",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Tested rule changes with version history and rollback",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "decision_trace",
      "canonical": "Traceable decision versions, overrides and reasons",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": "Decisions and logs are mentioned; versions, overrides and reasons are not all established.",
      "display_label": "Traceable decision versions, overrides and reasons",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": "Decisions and logs are mentioned; versions, overrides and reasons are not all established.",
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "central_reporting",
      "canonical": "Unified reporting tools",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Unified reporting tools",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "customer_view",
      "canonical": "Unified view of customer information",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Unified view of customer information",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "ICE Mortgage Technology",
      "criterion_id": "workload_reporting",
      "canonical": "Workload and bottleneck reporting",
      "page_url": "https://icemortgagetechnology.com/",
      "page_read_utc": "2026-10-08T19:15:04.166360+00:00",
      "page_sha256": "553ccf750d393c65501f3a961f3762b93d5ec05b20ad9caa764bbd2f08d86160",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all-module or all-plan entitlement is inferred. Real-estate MLS product features are not transferred to LOS. The score-model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason": null,
      "display_label": "Workload and bottleneck reporting",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level mortgage suite with Consumer Connect intake, Encompass origination, PPE pricing, Mortgage Analyzers review, eClose closing, MSP servicing and Servicing Digital borrower access. No all module or all plan entitlement is inferred. Real estate MLS product features are not transferred to LOS. The score model audit trail is labelled live; the coming October automation is not treated as delivered. Security architecture and performance claims are assertions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "30c1681c17a7f6468d4b314fc6616b5c37a012b4d46208f66c9f45a61e4bd90b",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "fit",
      "canonical": "Fit with the lender’s stated products and operating needs",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": "Named products and audiences do not establish fit to the actual lender’s operations.",
      "display_label": "Fit with the lender’s stated products and operating needs",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": "Named products and audiences do not establish fit to the actual lender’s operations.",
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "compliance",
      "canonical": "Applicable lending and jurisdictional compliance controls",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Applicable lending and jurisdictional compliance controls",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "Protect your institution with an integrated, AI-powered platform for AML/CFT monitoring, sanctions screening, and fraud detection.",
          "start": 1263,
          "end": 1393,
          "quote_sha256": "7b159670b6ed2882e1773a2d399e7f71e4be273029c5007221e3b5c9a47688d9"
        }
      ]
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "workflow_config",
      "canonical": "Configurable lending workflows",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": "A product or workspace is configurable; configurable lending workflow scope is not established.",
      "display_label": "Configurable lending workflows",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": "A product or workspace is configurable; configurable lending workflow scope is not established.",
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "totalcost",
      "canonical": "Full total cost of ownership",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": "Product or package information is present; full ownership costs are not supplied.",
      "display_label": "Full total cost of ownership",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": "Product or package information is present; full ownership costs are not supplied.",
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "activity_logs",
      "canonical": "Application and activity audit logs",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Application and activity audit logs",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "integration_general",
      "canonical": "Connections with the lender’s existing systems",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Connections with the lender’s existing systems",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "Trusted partnerships for integrating Abrigo into your ecosystem.",
          "start": 1857,
          "end": 1921,
          "quote_sha256": "c168ec22315cb9d1ff936ed99b275332b88dc9029a2ce38af83db249f667ed0c"
        }
      ]
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "underwrite",
      "canonical": "Underwriting and credit assessment support",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": "Decisions and risk are discussed; actual underwriting support is not fully described.",
      "display_label": "Underwriting and credit assessment support",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": "Decisions and risk are discussed; actual underwriting support is not fully described.",
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "automation",
      "canonical": "Automation of repetitive loan processing work",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Automation of repetitive loan processing work",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "Automate lending and credit processes to reduce origination costs, drive efficiency, and build stronger banking relationships.",
          "start": 531,
          "end": 657,
          "quote_sha256": "7de6f8b9768f668fdef1a1fb699ab8e864a11e280a41a6063af80f888ecfbf76"
        }
      ]
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "nocode",
      "canonical": "Configuration without extensive custom programming",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": "Configuration or automation is mentioned; freedom from extensive custom programming is not established.",
      "display_label": "Configuration without extensive custom programming",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": "Configuration or automation is mentioned; freedom from extensive custom programming is not established.",
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "volume_growth",
      "canonical": "Growth in lending volumes",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Growth in lending volumes",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "core_connections",
      "canonical": "Core banking connections",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Core banking connections",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "cloud",
      "canonical": "Cloud based infrastructure",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Cloud based infrastructure",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "unified",
      "canonical": "Connected lending lifecycle from application to funding or servicing",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": "An end-to-end platform or connected journey is described; application-to-funding/servicing coverage is not fully established.",
      "display_label": "Connected lending lifecycle from application to funding or servicing",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": "An end to end platform or connected journey is described; application to funding/servicing coverage is not fully established.",
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "bureau_connections",
      "canonical": "Credit bureau connections",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Credit bureau connections",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "encrypt",
      "canonical": "Data encryption",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Data encryption",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "intake",
      "canonical": "Digital loan application intake",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Digital loan application intake",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "verification_connections",
      "canonical": "Identity, fraud, income or asset verification connections",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Identity, fraud, income or asset verification connections",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "multi_channel",
      "canonical": "Digital and assisted origination channels",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Digital and assisted origination channels",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "usable",
      "canonical": "Ease of use for borrowers and lending staff",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": "Borrower or staff ease is discussed; ease for both groups together is not established.",
      "display_label": "Ease of use for borrowers and lending staff",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": "Borrower or staff ease is discussed; ease for both groups together is not established.",
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "funding_general",
      "canonical": "Loan funding workflows",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Loan funding workflows",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "decision_rules",
      "canonical": "Rules-based decisioning",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": "Automated decisions are mentioned; a rules engine is not established.",
      "display_label": "Rules based decisioning",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": "Automated decisions are mentioned; a rules engine is not established.",
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "integrate",
      "canonical": "Working core banking, bureau and business system connections",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": "Some integrations are named; working core banking, bureau and business connections together are not established.",
      "display_label": "Working core banking, bureau and business system connections",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": "Some integrations are named; working core banking, bureau and business connections together are not established.",
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "system_config",
      "canonical": "Configurable system functionality",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Configurable system functionality",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "architecture",
      "canonical": "Deployment architecture suited to IT and data requirements",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": "This is a buyer-specific architectural choice, priority or system-boundary requirement. The saved page cannot settle it for the buyer.",
      "display_label": "Deployment architecture suited to IT and data requirements",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": "This is a buyer specific architectural choice, priority or system boundary requirement. The saved page cannot settle it for the buyer.",
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "borrower_usable",
      "canonical": "Ease of use for borrowers",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Ease of use for borrowers",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "staff_usable",
      "canonical": "Ease of use for lending staff",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Ease of use for lending staff",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "reg_updates",
      "canonical": "Ongoing regulatory updates",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Ongoing regulatory updates",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "performance",
      "canonical": "Performance under peak lending volumes",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": "Scale or customer volume outcomes are mentioned; peak-volume performance is not documented.",
      "display_label": "Performance under peak lending volumes",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": "Scale or customer volume outcomes are mentioned; peak volume performance is not documented.",
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "security_general",
      "canonical": "Protection of sensitive borrower data",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Protection of sensitive borrower data",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "task_routing",
      "canonical": "Task routing",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Task routing",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "integrationproof",
      "canonical": "Tested working integrations",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": "Partner links or connection claims are not a demonstration of working integrations.",
      "display_label": "Tested working integrations",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": "Partner links or connection claims are not a demonstration of working integrations.",
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "mobile_apply",
      "canonical": "Mobile borrower applications and onboarding",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Mobile borrower applications and onboarding",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "notices",
      "canonical": "Required disclosures, notices and deadline tracking",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": "Disclosures or adverse-action functionality are mentioned; required notices and deadline tracking are not all established.",
      "display_label": "Required disclosures, notices and deadline tracking",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": "Disclosures or adverse action functionality are mentioned; required notices and deadline tracking are not all established.",
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "disclosures",
      "canonical": "Required lending disclosures and notices",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Required lending disclosures and notices",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "permissions",
      "canonical": "Role-based access restrictions",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Role based access restrictions",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "complex_structures",
      "canonical": "Support for required complex loan structures",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": "Multiple loan products or complex lending are mentioned; specific complex loan-structure support is not described.",
      "display_label": "Support for required complex loan structures",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": "Multiple loan products or complex lending are mentioned; specific complex loan structure support is not described.",
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "api_general",
      "canonical": "Supported APIs",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Supported APIs",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "API Documentation",
          "start": 9776,
          "end": 9793,
          "quote_sha256": "1cc77e60fcee8c4392cc52a2fdd1d9129beed4e6af97aca1b78ea61362c85247"
        }
      ]
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "api_connectors",
      "canonical": "APIs and prebuilt connectors",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": "APIs or partners are named; APIs and supported prebuilt connectors together are not established.",
      "display_label": "APIs and prebuilt connectors",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": "APIs or partners are named; APIs and supported prebuilt connectors together are not established.",
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "data_verification",
      "canonical": "Application data verification",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Application data verification",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "portal",
      "canonical": "Borrower digital portal",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Borrower digital portal",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "upload",
      "canonical": "Borrower document upload",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Borrower document upload",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "funding",
      "canonical": "Closing and funding workflows",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": "Closing or funding is described; both sets of workflows are not established.",
      "display_label": "Closing and funding workflows",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": "Closing or funding is described; both sets of workflows are not established.",
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "collateral",
      "canonical": "Collateral management",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Collateral management",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "credit_config",
      "canonical": "Configurable credit policies and decision rules",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Configurable credit policies and decision rules",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "business_connections",
      "canonical": "Connections with business tools such as CRM and documents",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Connections with business tools such as CRM and documents",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "ease_general",
      "canonical": "Ease of use",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Ease of use",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "onboarding_help",
      "canonical": "Implementation and onboarding assistance",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Implementation and onboarding assistance",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "integration_cost",
      "canonical": "Integration costs",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Integration costs",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "closing_general",
      "canonical": "Loan closing workflows",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Loan closing workflows",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "exception_handling",
      "canonical": "Manual review and exception handling",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Manual review and exception handling",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "pricing_units",
      "canonical": "Pricing by users, portfolio volume and fees",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Pricing by users, portfolio volume and fees",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "vendor_experience",
      "canonical": "Relevant lending experience and track record",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Relevant lending experience and track record",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "train",
      "canonical": "Staff training",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Staff training",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "Join Abrigo users and industry experts for training, insights, and peer connection.",
          "start": 3008,
          "end": 3091,
          "quote_sha256": "6a317a876428bb0e812b42aa1c2267e2735d01b5a51c206da7dc5f9e93fec4e7"
        }
      ]
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "loan_types",
      "canonical": "Support for multiple loan types",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Support for multiple loan types",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "Commercial Lending \nConsumer Lending \nSmall Business Lending \nConstruction Lending \nEquipment Finance \nAgricultural Lending",
          "start": 659,
          "end": 782,
          "quote_sha256": "0a553b81d0a906261b4a9a0dff40d3817f0304fe8d2ae4bd001df2a87759ecae"
        }
      ]
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "vendor_viability",
      "canonical": "Vendor viability and resilience",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Vendor viability and resilience",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "exception_alerts",
      "canonical": "Alerts for policy and compliance exceptions",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Alerts for policy and compliance exceptions",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "autorules",
      "canonical": "Automated credit decision rules and scoring",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": "Automation or decisions are described; credit rules and scoring together are not established.",
      "display_label": "Automated credit decision rules and scoring",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": "Automation or decisions are described; credit rules and scoring together are not established.",
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "status",
      "canonical": "Borrower application status visibility",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Borrower application status visibility",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "origination_complete",
      "canonical": "Complete origination functionality",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Complete origination functionality",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "jurisdiction_config",
      "canonical": "Compliance workflows adapted by product or jurisdiction",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Compliance workflows adapted by product or jurisdiction",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "servicing_connections",
      "canonical": "Connections with loan servicing systems",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Connections with loan servicing systems",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "contract_length",
      "canonical": "Contract duration",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Contract duration",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "collaboration",
      "canonical": "Coordination among lending, credit and risk teams",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Coordination among lending, credit and risk teams",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "core_or_servicing",
      "canonical": "Core banking or loan servicing connections",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Core banking or loan servicing connections",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "affordable",
      "canonical": "Cost appropriate to lending volume and budget",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": "Marketing or cost claims do not establish affordability for this lender.",
      "display_label": "Cost appropriate to lending volume and budget",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": "Marketing or cost claims do not establish affordability for this lender.",
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "risk_management",
      "canonical": "Credit risk management",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Credit risk management",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "Risk management, compliance, and lending solutions
 that help financial institutions thrive.",
          "start": 7587,
          "end": 7679,
          "quote_sha256": "c1ee3433d0ee3af2cefd28fd9c6938f9e2d0945a3e0119bea14e470d4d992a8d"
        }
      ]
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "access_controls",
      "canonical": "Data access restrictions",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Data access restrictions",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "rpo",
      "canonical": "Defined maximum potential data loss",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Defined maximum potential data loss",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "integrationowner",
      "canonical": "Defined ownership, cost and maintenance of integrations",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": "Connections are named; ownership, costs and maintenance responsibilities are not supplied.",
      "display_label": "Defined ownership, cost and maintenance of integrations",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": "Connections are named; ownership, costs and maintenance responsibilities are not supplied.",
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "rto",
      "canonical": "Defined recovery time objectives",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Defined recovery time objectives",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "proof",
      "canonical": "Demonstrated performance using representative loan scenarios",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": "A demo offer or customer outcome claim is not a demonstrated test using representative buyer loan scenarios.",
      "display_label": "Demonstrated performance using representative loan scenarios",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": "A demo offer or customer outcome claim is not a demonstrated test using representative buyer loan scenarios.",
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "document_screening",
      "canonical": "Document screening and verification",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Document screening and verification",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "api",
      "canonical": "Documented APIs and supported connectors",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": "Developer resources or connections are named; documented APIs and supported connectors are not both established.",
      "display_label": "Documented APIs and supported connectors",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": "Developer resources or connections are named; documented APIs and supported connectors are not both established.",
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "migration",
      "canonical": "Documented migration plan and acceptance criteria",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Documented migration plan and acceptance criteria",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "esign",
      "canonical": "Electronic signature support",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Electronic signature support",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "incident_notification",
      "canonical": "Incident notification commitments",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Incident notification commitments",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "incident_response",
      "canonical": "Incident response procedures",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Incident response procedures",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "price",
      "canonical": "Included capabilities versus configuration or custom development",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": "Products and modules are named; included versus configured/custom scope is not fully supplied.",
      "display_label": "Included capabilities versus configuration or custom development",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": "Products and modules are named; included versus configured/custom scope is not fully supplied.",
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "report_general",
      "canonical": "Lending reporting and analytics",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Lending reporting and analytics",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "approval_steps",
      "canonical": "Loan approval workflows",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Loan approval workflows",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "document_handling",
      "canonical": "Loan document handling",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Loan document handling",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "mfa",
      "canonical": "Multifactor authentication",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Multifactor authentication",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "implementation_owner",
      "canonical": "Named implementation responsibilities",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Named implementation responsibilities",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "provider_oversight",
      "canonical": "Oversight of service providers",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Oversight of service providers",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "data_ownership",
      "canonical": "Ownership of lending data",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Ownership of lending data",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "report",
      "canonical": "Pipeline, portfolio and operational reporting",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": "Reports or analytics are mentioned; complete pipeline, portfolio and operational reporting is not established.",
      "display_label": "Pipeline, portfolio and operational reporting",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": "Reports or analytics are mentioned; complete pipeline, portfolio and operational reporting is not established.",
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "portfolio_management",
      "canonical": "Post-close loan portfolio management",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Post close loan portfolio management",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "Optimize financial performance with integrated portfolio management solutions.",
          "start": 819,
          "end": 897,
          "quote_sha256": "8915b690a70875252ad33a4a88b320fe84d21f56c15f981f96bdaf48fc5655c5"
        }
      ]
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "support_general",
      "canonical": "Post-launch support",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Post launch support",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "The support we get from Abrigo is a huge factor. Abrigo is more like a partner to us than a vendor or banking software provider.",
          "start": 8591,
          "end": 8719,
          "quote_sha256": "366c2b67dbcf1eabda9bc86fc43e747a14dcc23a1dfe2b17bf115b5d5368608c"
        }
      ]
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "references",
      "canonical": "References and evidence from comparable lenders",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": "Named customer examples do not establish comparability to the actual lender.",
      "display_label": "References and evidence from comparable lenders",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": "Named customer examples do not establish comparability to the actual lender.",
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "contract",
      "canonical": "Renewal, termination and transition terms",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": "Limited terms or product information is present; renewal, termination and transition terms are not fully supplied.",
      "display_label": "Renewal, termination and transition terms",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": "Limited terms or product information is present; renewal, termination and transition terms are not fully supplied.",
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "available",
      "canonical": "Required functions currently delivered and available",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": "Named features do not establish availability of the buyer’s complete required functionality.",
      "display_label": "Required functions currently delivered and available",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": "Named features do not establish availability of the buyer’s complete required functionality.",
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "resume",
      "canonical": "Save and resume an incomplete application",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Save and resume an incomplete application",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "document",
      "canonical": "Secure document collection, storage and retrieval",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": "Document functions are named; secure collection, storage and retrieval are not all established.",
      "display_label": "Secure document collection, storage and retrieval",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": "Document functions are named; secure collection, storage and retrieval are not all established.",
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "securitytest",
      "canonical": "Security testing and assessment evidence",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": "Certifications or security architecture are mentioned; actual testing evidence is not supplied.",
      "display_label": "Security testing and assessment evidence",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": "Certifications or security architecture are mentioned; actual testing evidence is not supplied.",
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "adverse",
      "canonical": "Specific adverse action reasons and explanations",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Specific adverse action reasons and explanations",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "audit",
      "canonical": "Tamper-resistant activity and application audit trails",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Tamper resistant activity and application audit trails",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "task_management",
      "canonical": "Task management",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Task management",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "recoverytest",
      "canonical": "Tested restoration and recovery evidence",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Tested restoration and recovery evidence",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "export",
      "canonical": "Usable complete data exports including documents and audit history",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Usable complete data exports including documents and audit history",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "references_general",
      "canonical": "Vendor references and case studies",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Vendor references and case studies",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "retention",
      "canonical": "Application record retention rules and history",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Application record retention rules and history",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "decision_audit",
      "canonical": "Auditable lending decisions",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": "Logs or decisions are mentioned; decision-specific auditability is not established.",
      "display_label": "Auditable lending decisions",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": "Logs or decisions are mentioned; decision specific auditability is not established.",
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "connected_data",
      "canonical": "Connected data without duplicate entry or silos",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Connected data without duplicate entry or silos",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "lender_connections",
      "canonical": "Connections with wholesale lenders",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Connections with wholesale lenders",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "credit_decisions",
      "canonical": "Credit decisioning",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Credit decisioning",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "approval_authority",
      "canonical": "Defined approval authority and limits",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": "Decisions or approvals are mentioned; authority and limits are not specified.",
      "display_label": "Defined approval authority and limits",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": "Decisions or approvals are mentioned; authority and limits are not specified.",
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "document_collection",
      "canonical": "Document collection",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Document collection",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "document_requests",
      "canonical": "Document requests and checklists",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Document requests and checklists",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "docgeneration",
      "canonical": "Dynamic document generation",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Dynamic document generation",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "failure_handling",
      "canonical": "Handling integration failures",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": "Connections are named; failure handling is not described.",
      "display_label": "Handling integration failures",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": "Connections are named; failure handling is not described.",
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "servicing_handoff",
      "canonical": "Handoff from origination to servicing",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Handoff from origination to servicing",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "human_override",
      "canonical": "Human overrides of automated decisions",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": "Human control is mentioned; overrides of automated decisions are not established.",
      "display_label": "Human overrides of automated decisions",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": "Human control is mentioned; overrides of automated decisions are not established.",
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "implementation_timing",
      "canonical": "Implementation duration",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Implementation duration",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "assurance_reports",
      "canonical": "Independent security assurance reports",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": "Certification labels or audits are claimed; actual independent assurance reports are not supplied in this snapshot.",
      "display_label": "Independent security assurance reports",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": "Certification labels or audits are claimed; actual independent assurance reports are not supplied in this snapshot.",
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "kyc",
      "canonical": "Know-your-customer and anti-money-laundering controls",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": "AML or identity verification is mentioned; KYC and AML controls together are not established.",
      "display_label": "Know your customer and anti money laundering controls",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": "AML or identity verification is mentioned; KYC and AML controls together are not established.",
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "loan_servicing",
      "canonical": "Loan servicing",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": "Portfolio management is described; loan servicing behavior is not established.",
      "display_label": "Loan servicing",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": "Portfolio management is described; loan servicing behavior is not established.",
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "process_metrics",
      "canonical": "Measured completion time, manual work and errors",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Measured completion time, manual work and errors",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "mobile_access",
      "canonical": "Mobile borrower access",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Mobile borrower access",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "mobile_or_channels",
      "canonical": "Mobile-friendly or multi-channel onboarding",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Mobile friendly or multi channel onboarding",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "borrowers_guarantors",
      "canonical": "Multiple borrowers and guarantors",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Multiple borrowers and guarantors",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "uptime_reliable",
      "canonical": "Reliable service availability",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Reliable service availability",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "remote",
      "canonical": "Remote access to lending operations",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Remote access to lending operations",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "uptime_history",
      "canonical": "System uptime history",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "System uptime history",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "export_general",
      "canonical": "Usable lending data exports",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Usable lending data exports",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "vendor_financial",
      "canonical": "Vendor financial stability",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Vendor financial stability",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "test_environment",
      "canonical": "A usable integration test environment",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "A usable integration test environment",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "api_documentation",
      "canonical": "API documentation",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "API documentation",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "API Documentation",
          "start": 9776,
          "end": 9793,
          "quote_sha256": "1cc77e60fcee8c4392cc52a2fdd1d9129beed4e6af97aca1b78ea61362c85247"
        }
      ]
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "native_or_api",
      "canonical": "APIs or built-in integrations",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "APIs or built in integrations",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "dataaccess",
      "canonical": "Accessible underlying lending data",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Accessible underlying lending data",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "accessible",
      "canonical": "Accessible user interfaces",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Accessible user interfaces",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "disclosure_accuracy",
      "canonical": "Accurate lending disclosures",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Accurate lending disclosures",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "consent",
      "canonical": "Application consent records",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Application consent records",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "turnaround_reporting",
      "canonical": "Application conversion and turnaround reporting",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Application conversion and turnaround reporting",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "dynamicforms",
      "canonical": "Application forms that adapt to borrower answers",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Application forms that adapt to borrower answers",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "decision_reporting",
      "canonical": "Approval, denial, override and exception reporting",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Approval, denial, override and exception reporting",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "updates",
      "canonical": "Automatic or ongoing software updates",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Automatic or ongoing software updates",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "backup",
      "canonical": "Backups and disaster recovery arrangements",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Backups and disaster recovery arrangements",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "borrower_experience",
      "canonical": "Borrower and member experience",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Borrower and member experience",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "risk_retail_or_crm",
      "canonical": "Choice of commercial risk, retail efficiency or CRM integration",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": "This is a buyer-specific architectural choice, priority or system-boundary requirement. The saved page cannot settle it for the buyer.",
      "display_label": "Choice of commercial risk, retail efficiency or CRM integration",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": "This is a buyer specific architectural choice, priority or system boundary requirement. The saved page cannot settle it for the buyer.",
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "system_boundaries",
      "canonical": "Clear boundaries between LOS and separate systems",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": "This is a buyer-specific architectural choice, priority or system-boundary requirement. The saved page cannot settle it for the buyer.",
      "display_label": "Clear boundaries between LOS and separate systems",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": "This is a buyer specific architectural choice, priority or system boundary requirement. The saved page cannot settle it for the buyer.",
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "corporate_entities",
      "canonical": "Complex corporate entity structures",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Complex corporate entity structures",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "reportconfig",
      "canonical": "Configurable dashboards and reports",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": "Widgets or analytics are mentioned; configurable reports and dashboards are not all established.",
      "display_label": "Configurable dashboards and reports",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": "Widgets or analytics are mentioned; configurable reports and dashboards are not all established.",
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "pricing",
      "canonical": "Configurable loan pricing and eligibility rules",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": "Pricing is mentioned; configurable pricing and eligibility rules together are not established.",
      "display_label": "Configurable loan pricing and eligibility rules",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": "Pricing is mentioned; configurable pricing and eligibility rules together are not established.",
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "custom_effort",
      "canonical": "Configuration and customization effort",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Configuration and customization effort",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "data_tool_connections",
      "canonical": "Connections with data warehouses and reporting tools",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Connections with data warehouses and reporting tools",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "channel_connections",
      "canonical": "Connections with digital self-service channels",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Connections with digital self service channels",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "integrationfailure",
      "canonical": "Controlled integration failures, retries and duplicate handling",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": "Connections are named; failures, retries and duplicate handling are not described.",
      "display_label": "Controlled integration failures, retries and duplicate handling",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": "Connections are named; failures, retries and duplicate handling are not described.",
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "cost_reporting",
      "canonical": "Cost per funded loan reporting",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Cost per funded loan reporting",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "risk_scoring",
      "canonical": "Credit risk scoring",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": "Risk or credit analysis is mentioned; risk scoring is not established.",
      "display_label": "Credit risk scoring",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": "Risk or credit analysis is mentioned; risk scoring is not established.",
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "data_exchange",
      "canonical": "Data exchange between connected systems",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Data exchange between connected systems",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "migration_help",
      "canonical": "Data migration support",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Data migration support",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "sync",
      "canonical": "Defined data exchange and reconciliation",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": "Shared data or exchange is mentioned; defined exchange and reconciliation together are not established.",
      "display_label": "Defined data exchange and reconciliation",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": "Shared data or exchange is mentioned; defined exchange and reconciliation together are not established.",
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "export_terms",
      "canonical": "Defined export formats and fees",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Defined export formats and fees",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "support_hours",
      "canonical": "Defined support hours",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": "Support is named; exact hours are not supplied.",
      "display_label": "Defined support hours",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": "Support is named; exact hours are not supplied.",
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "document_security",
      "canonical": "Document security",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Document security",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "document_versions",
      "canonical": "Document version history",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Document version history",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "security",
      "canonical": "Documented protection of sensitive borrower data",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": "Security is claimed; complete documented protection is not supplied on the saved page.",
      "display_label": "Documented protection of sensitive borrower data",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": "Security is claimed; complete documented protection is not supplied on the saved page.",
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "uptime",
      "canonical": "Documented system uptime and service commitments",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Documented system uptime and service commitments",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "spreading",
      "canonical": "Financial spreading and global cash flow analysis",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Financial spreading and global cash flow analysis",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "financial_spreading",
      "canonical": "Financial statement spreading",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Financial statement spreading",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "global_cashflow",
      "canonical": "Global cash flow analysis",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Global cash flow analysis",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "scale",
      "canonical": "Growth in loan volume and additional products or channels",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": "Growth is described; capacity for additional volume together with new products or channels is not fully established.",
      "display_label": "Growth in loan volume and additional products or channels",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": "Growth is described; capacity for additional volume together with new products or channels is not fully established.",
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "subcontractor_dependencies",
      "canonical": "Identified subcontractor dependencies",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Identified subcontractor dependencies",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "advisory_support",
      "canonical": "Implementation and advisory support",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Implementation and advisory support",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "implementation_cost",
      "canonical": "Implementation costs",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Implementation costs",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "securityproof",
      "canonical": "Independent security assurance reports including scope and exceptions",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": "Assurance or certification is claimed; reports including scope and exceptions were not supplied in this snapshot.",
      "display_label": "Independent security assurance reports including scope and exceptions",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": "Assurance or certification is claimed; reports including scope and exceptions were not supplied in this snapshot.",
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "loan_pricing",
      "canonical": "Loan pricing logic",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Loan pricing logic",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "stage_tracking",
      "canonical": "Loan workflow stage tracking",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Loan workflow stage tracking",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "entities",
      "canonical": "Multiple borrowers, business entities and guarantors",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Multiple borrowers, business entities and guarantors",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "multi_guarantors",
      "canonical": "Multiple guarantors",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Multiple guarantors",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "regupdates",
      "canonical": "Ongoing regulatory updates with defined responsibilities",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": "Regulatory support is mentioned; update responsibilities are not defined.",
      "display_label": "Ongoing regulatory updates with defined responsibilities",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": "Regulatory support is mentioned; update responsibilities are not defined.",
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "vendor_oversight",
      "canonical": "Ongoing vendor oversight",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Ongoing vendor oversight",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "migration_downtime",
      "canonical": "Operational downtime during migration",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Operational downtime during migration",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "operational_reporting",
      "canonical": "Operational lending reporting",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Operational lending reporting",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "support",
      "canonical": "Post-launch support and escalation commitments",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": "Support is available; post-launch escalation commitments are not established.",
      "display_label": "Post launch support and escalation commitments",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": "Support is available; post launch escalation commitments are not established.",
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "realtimereport",
      "canonical": "Real time reporting data",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": "Insights or current data are mentioned; real-time reporting is not established.",
      "display_label": "Real time reporting data",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": "Insights or current data are mentioned; real time reporting is not established.",
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "realtime_exchange",
      "canonical": "Real-time data exchange",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Real time data exchange",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "reconciliation",
      "canonical": "Reconciliation of integration data and errors",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Reconciliation of integration data and errors",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "application_history",
      "canonical": "Reconstructable application history",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Reconstructable application history",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "decisionhistory",
      "canonical": "Reconstructable decision inputs, rules, versions and overrides",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": "Decisions and logs are mentioned; complete reconstructable inputs, rules, versions and overrides are not established.",
      "display_label": "Reconstructable decision inputs, rules, versions and overrides",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": "Decisions and logs are mentioned; complete reconstructable inputs, rules, versions and overrides are not established.",
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "decision_reconstruction",
      "canonical": "Reconstructable history of data, rules, decisions and communications",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": "Logs or decisions are mentioned; reconstructable data, rules, decisions and communications together are not established.",
      "display_label": "Reconstructable history of data, rules, decisions and communications",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": "Logs or decisions are mentioned; reconstructable data, rules, decisions and communications together are not established.",
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "approval_records",
      "canonical": "Recorded approvals",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Recorded approvals",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "regulatory_reporting",
      "canonical": "Regulatory lending reporting",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Regulatory lending reporting",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "decision_reproduce",
      "canonical": "Reproducible lending decisions",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Reproducible lending decisions",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "staff_time",
      "canonical": "Required internal implementation staff time",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Required internal implementation staff time",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "aicontrol",
      "canonical": "Reviewable, explainable and disableable AI decisions",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": "Governance or human control is mentioned; review, explanation and disabling AI decisions together are not established.",
      "display_label": "Reviewable, explainable and disableable AI decisions",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": "Governance or human control is mentioned; review, explanation and disabling AI decisions together are not established.",
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "secure_esign",
      "canonical": "Secure electronic signatures",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Secure electronic signatures",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "work_queues",
      "canonical": "Staff work queues",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Staff work queues",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "support_escalation",
      "canonical": "Support escalation procedures",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": "Support is mentioned; escalation procedures are not established.",
      "display_label": "Support escalation procedures",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": "Support is mentioned; escalation procedures are not established.",
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "relationship_lending",
      "canonical": "Support for relationship-based lending",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Support for relationship based lending",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "support_response",
      "canonical": "Support response commitments",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": "Support is named; response commitments are not supplied.",
      "display_label": "Support response commitments",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": "Support is named; response commitments are not supplied.",
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "routing",
      "canonical": "Task routing and escalation",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": "Workflow tools are mentioned; task routing, escalation and stage control are not all established.",
      "display_label": "Task routing and escalation",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": "Workflow tools are mentioned; task routing, escalation and stage control are not all established.",
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "rulehistory",
      "canonical": "Tested rule changes with version history and rollback",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Tested rule changes with version history and rollback",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "decision_trace",
      "canonical": "Traceable decision versions, overrides and reasons",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": "Decisions and logs are mentioned; versions, overrides and reasons are not all established.",
      "display_label": "Traceable decision versions, overrides and reasons",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": "Decisions and logs are mentioned; versions, overrides and reasons are not all established.",
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "central_reporting",
      "canonical": "Unified reporting tools",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Unified reporting tools",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "customer_view",
      "canonical": "Unified view of customer information",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Unified view of customer information",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Abrigo",
      "criterion_id": "workload_reporting",
      "canonical": "Workload and bottleneck reporting",
      "page_url": "https://abrigo.com/",
      "page_read_utc": "2026-10-08T19:15:04.244985+00:00",
      "page_sha256": "433a55b9365e1287e47be6899e34d670a82c395806f5a90940c52a33d83b66c1",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic-lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason": null,
      "display_label": "Workload and bottleneck reporting",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending, credit risk, CECL, financial crime, CRM and analytics suite. AML/CFT functionality is not expanded to KYC. Advisory services and software modules remain separate. Training is the named user/industry event. The support quotation is customer testimony. The future agentic lending testimonial is not delivered functionality. SOC labels do not supply the underlying reports, scope or exceptions.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "7b72223f4a04b871ff2c7782ee501e7521f0511a2d98d8ca8323ba3e08e5164e",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "fit",
      "canonical": "Fit with the lender’s stated products and operating needs",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": "Named products and audiences do not establish fit to the actual lender’s operations.",
      "display_label": "Fit with the lender’s stated products and operating needs",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": "Named products and audiences do not establish fit to the actual lender’s operations.",
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "compliance",
      "canonical": "Applicable lending and jurisdictional compliance controls",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Applicable lending and jurisdictional compliance controls",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "Portfolio & Risk Management Risk Management and CECL Compliance Tools",
          "start": 1827,
          "end": 1896,
          "quote_sha256": "b36466c26c1ae018d0c4815e426387ef01b6dafe9551c31196309cee4eb3f275"
        }
      ]
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "workflow_config",
      "canonical": "Configurable lending workflows",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": "A product or workspace is configurable; configurable lending workflow scope is not established.",
      "display_label": "Configurable lending workflows",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": "A product or workspace is configurable; configurable lending workflow scope is not established.",
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "totalcost",
      "canonical": "Full total cost of ownership",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": "Product or package information is present; full ownership costs are not supplied.",
      "display_label": "Full total cost of ownership",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": "Product or package information is present; full ownership costs are not supplied.",
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "activity_logs",
      "canonical": "Application and activity audit logs",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Application and activity audit logs",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "integration_general",
      "canonical": "Connections with the lender’s existing systems",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Connections with the lender’s existing systems",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "Partners & Integrations Seamless Integration, Trusted Partnerships — Expand Your Ecosystem with Confidence",
          "start": 491,
          "end": 597,
          "quote_sha256": "a674beb6df9aab9e971b2ba9753c81a76bc15ad49887f84541b516eb7f05b92b"
        }
      ]
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "underwrite",
      "canonical": "Underwriting and credit assessment support",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": "Decisions and risk are discussed; actual underwriting support is not fully described.",
      "display_label": "Underwriting and credit assessment support",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": "Decisions and risk are discussed; actual underwriting support is not fully described.",
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "automation",
      "canonical": "Automation of repetitive loan processing work",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Automation of repetitive loan processing work",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "Turn paperwork into progress with AI that captures, organizes, and validates document data so your team can focus on analysis, decisions, and strategic lending, not manual entry.",
          "start": 6054,
          "end": 6232,
          "quote_sha256": "1de2deab0afe11f2daa9bf7c7ca21a6df8c310cbdbf25dedebab48655f526db8"
        }
      ]
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "nocode",
      "canonical": "Configuration without extensive custom programming",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": "Configuration or automation is mentioned; freedom from extensive custom programming is not established.",
      "display_label": "Configuration without extensive custom programming",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": "Configuration or automation is mentioned; freedom from extensive custom programming is not established.",
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "volume_growth",
      "canonical": "Growth in lending volumes",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Growth in lending volumes",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "core_connections",
      "canonical": "Core banking connections",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Core banking connections",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "cloud",
      "canonical": "Cloud based infrastructure",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Cloud based infrastructure",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "unified",
      "canonical": "Connected lending lifecycle from application to funding or servicing",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": "An end-to-end platform or connected journey is described; application-to-funding/servicing coverage is not fully established.",
      "display_label": "Connected lending lifecycle from application to funding or servicing",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": "An end to end platform or connected journey is described; application to funding/servicing coverage is not fully established.",
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "bureau_connections",
      "canonical": "Credit bureau connections",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Credit bureau connections",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "encrypt",
      "canonical": "Data encryption",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Data encryption",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "intake",
      "canonical": "Digital loan application intake",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Digital loan application intake",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "verification_connections",
      "canonical": "Identity, fraud, income or asset verification connections",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Identity, fraud, income or asset verification connections",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "multi_channel",
      "canonical": "Digital and assisted origination channels",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Digital and assisted origination channels",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "usable",
      "canonical": "Ease of use for borrowers and lending staff",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": "Borrower or staff ease is discussed; ease for both groups together is not established.",
      "display_label": "Ease of use for borrowers and lending staff",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": "Borrower or staff ease is discussed; ease for both groups together is not established.",
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "funding_general",
      "canonical": "Loan funding workflows",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Loan funding workflows",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "decision_rules",
      "canonical": "Rules-based decisioning",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": "Automated decisions are mentioned; a rules engine is not established.",
      "display_label": "Rules based decisioning",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": "Automated decisions are mentioned; a rules engine is not established.",
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "integrate",
      "canonical": "Working core banking, bureau and business system connections",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": "Some integrations are named; working core banking, bureau and business connections together are not established.",
      "display_label": "Working core banking, bureau and business system connections",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": "Some integrations are named; working core banking, bureau and business connections together are not established.",
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "system_config",
      "canonical": "Configurable system functionality",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Configurable system functionality",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "Tailor My Hub to your role, priorities, and daily rhythm. Get the tools and data that matter— nothing more, nothing less.",
          "start": 5345,
          "end": 5466,
          "quote_sha256": "63ca280a278d871149450edd2ddac2e6a747a7cb38f55dfb32cb0ed209bbbd6b"
        }
      ]
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "architecture",
      "canonical": "Deployment architecture suited to IT and data requirements",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": "This is a buyer-specific architectural choice, priority or system-boundary requirement. The saved page cannot settle it for the buyer.",
      "display_label": "Deployment architecture suited to IT and data requirements",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": "This is a buyer specific architectural choice, priority or system boundary requirement. The saved page cannot settle it for the buyer.",
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "borrower_usable",
      "canonical": "Ease of use for borrowers",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Ease of use for borrowers",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "Move decisions at the speed of business with a guided, digital lending experience that reduces friction for borrowers, empowers bankers to step in with insight when it matters, and accelerates outcomes with actionable intelligence.",
          "start": 5628,
          "end": 5859,
          "quote_sha256": "98dcb62d38f357ca2610429dde949fbeee13667471944bfe46a3d65f116a86db"
        }
      ]
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "staff_usable",
      "canonical": "Ease of use for lending staff",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Ease of use for lending staff",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "Launch your most common workflows in seconds — no navigation, no hunting, no wasted time",
          "start": 4995,
          "end": 5083,
          "quote_sha256": "678cc01bebebdafc299f0bef8018464ddc5aa39b34230af58fe52a94ff67dbe3"
        }
      ]
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "reg_updates",
      "canonical": "Ongoing regulatory updates",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Ongoing regulatory updates",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "performance",
      "canonical": "Performance under peak lending volumes",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": "Scale or customer volume outcomes are mentioned; peak-volume performance is not documented.",
      "display_label": "Performance under peak lending volumes",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": "Scale or customer volume outcomes are mentioned; peak volume performance is not documented.",
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "security_general",
      "canonical": "Protection of sensitive borrower data",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Protection of sensitive borrower data",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "Baker Hill maintains SOC 2 Type II and ISO 27001 certifications, demonstrating our ongoing commitment to strong security, availability, and data protection practices. Our controls and processes are audited annually by an independent accredited auditor.",
          "start": 7014,
          "end": 7266,
          "quote_sha256": "837d91b040686ed311a972bccec62e65272069d660fa67eff29bce3ff0a09f62"
        }
      ]
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "task_routing",
      "canonical": "Task routing",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": "Task assistance is mentioned; routing tasks is not established.",
      "display_label": "Task routing",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": "Task assistance is mentioned; routing tasks is not established.",
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "integrationproof",
      "canonical": "Tested working integrations",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": "Partner links or connection claims are not a demonstration of working integrations.",
      "display_label": "Tested working integrations",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": "Partner links or connection claims are not a demonstration of working integrations.",
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "mobile_apply",
      "canonical": "Mobile borrower applications and onboarding",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Mobile borrower applications and onboarding",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "notices",
      "canonical": "Required disclosures, notices and deadline tracking",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": "Disclosures or adverse-action functionality are mentioned; required notices and deadline tracking are not all established.",
      "display_label": "Required disclosures, notices and deadline tracking",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": "Disclosures or adverse action functionality are mentioned; required notices and deadline tracking are not all established.",
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "disclosures",
      "canonical": "Required lending disclosures and notices",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Required lending disclosures and notices",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "permissions",
      "canonical": "Role-based access restrictions",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Role based access restrictions",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "complex_structures",
      "canonical": "Support for required complex loan structures",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": "Multiple loan products or complex lending are mentioned; specific complex loan-structure support is not described.",
      "display_label": "Support for required complex loan structures",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": "Multiple loan products or complex lending are mentioned; specific complex loan structure support is not described.",
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "api_general",
      "canonical": "Supported APIs",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": "An integration gateway or developer portal is named; supported API behavior is not documented here.",
      "display_label": "Supported APIs",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": "An integration gateway or developer portal is named; supported API behavior is not documented here.",
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "api_connectors",
      "canonical": "APIs and prebuilt connectors",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": "APIs or partners are named; APIs and supported prebuilt connectors together are not established.",
      "display_label": "APIs and prebuilt connectors",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": "APIs or partners are named; APIs and supported prebuilt connectors together are not established.",
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "data_verification",
      "canonical": "Application data verification",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Application data verification",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "Turn paperwork into progress with AI that captures, organizes, and validates document data so your team can focus on analysis, decisions, and strategic lending, not manual entry.",
          "start": 6054,
          "end": 6232,
          "quote_sha256": "1de2deab0afe11f2daa9bf7c7ca21a6df8c310cbdbf25dedebab48655f526db8"
        }
      ]
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "portal",
      "canonical": "Borrower digital portal",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Borrower digital portal",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "upload",
      "canonical": "Borrower document upload",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Borrower document upload",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "funding",
      "canonical": "Closing and funding workflows",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": "Closing or funding is described; both sets of workflows are not established.",
      "display_label": "Closing and funding workflows",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": "Closing or funding is described; both sets of workflows are not established.",
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "collateral",
      "canonical": "Collateral management",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Collateral management",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "credit_config",
      "canonical": "Configurable credit policies and decision rules",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Configurable credit policies and decision rules",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "business_connections",
      "canonical": "Connections with business tools such as CRM and documents",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Connections with business tools such as CRM and documents",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "ease_general",
      "canonical": "Ease of use",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Ease of use",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "Move decisions at the speed of business with a guided, digital lending experience that reduces friction for borrowers, empowers bankers to step in with insight when it matters, and accelerates outcomes with actionable intelligence.",
          "start": 5628,
          "end": 5859,
          "quote_sha256": "98dcb62d38f357ca2610429dde949fbeee13667471944bfe46a3d65f116a86db"
        },
        {
          "quote": "Launch your most common workflows in seconds — no navigation, no hunting, no wasted time",
          "start": 4995,
          "end": 5083,
          "quote_sha256": "678cc01bebebdafc299f0bef8018464ddc5aa39b34230af58fe52a94ff67dbe3"
        }
      ]
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "onboarding_help",
      "canonical": "Implementation and onboarding assistance",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Implementation and onboarding assistance",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "integration_cost",
      "canonical": "Integration costs",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Integration costs",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "closing_general",
      "canonical": "Loan closing workflows",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Loan closing workflows",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "exception_handling",
      "canonical": "Manual review and exception handling",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Manual review and exception handling",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "pricing_units",
      "canonical": "Pricing by users, portfolio volume and fees",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Pricing by users, portfolio volume and fees",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "vendor_experience",
      "canonical": "Relevant lending experience and track record",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Relevant lending experience and track record",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "train",
      "canonical": "Staff training",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Staff training",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "Platform Training & Support Master UN/FY with hands-On Platform Training and Strategic Learning",
          "start": 2692,
          "end": 2787,
          "quote_sha256": "e0805e9ba85d39dd3f7f01fc3773b57cc5fbbbed12d28b37ab94da512826dff0"
        }
      ]
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "loan_types",
      "canonical": "Support for multiple loan types",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Support for multiple loan types",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "Commercial Lending Commercial Lending Solutions Powered by LOS \nSmall Business Lending Smarter Business Lending Tools - Scored, Judgmental, & SBA \nConsumer Lending Consumer Lending Solutions for Faster Decisions",
          "start": 1511,
          "end": 1722,
          "quote_sha256": "fd5583d9c1e0d49e667d0c36cf67c3f9e6e0e9ffdd20de14d5e57c950a7c148b"
        }
      ]
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "vendor_viability",
      "canonical": "Vendor viability and resilience",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Vendor viability and resilience",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "exception_alerts",
      "canonical": "Alerts for policy and compliance exceptions",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Alerts for policy and compliance exceptions",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "autorules",
      "canonical": "Automated credit decision rules and scoring",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": "Automation or decisions are described; credit rules and scoring together are not established.",
      "display_label": "Automated credit decision rules and scoring",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": "Automation or decisions are described; credit rules and scoring together are not established.",
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "status",
      "canonical": "Borrower application status visibility",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Borrower application status visibility",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "origination_complete",
      "canonical": "Complete origination functionality",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Complete origination functionality",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "jurisdiction_config",
      "canonical": "Compliance workflows adapted by product or jurisdiction",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Compliance workflows adapted by product or jurisdiction",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "servicing_connections",
      "canonical": "Connections with loan servicing systems",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Connections with loan servicing systems",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "contract_length",
      "canonical": "Contract duration",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Contract duration",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "collaboration",
      "canonical": "Coordination among lending, credit and risk teams",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Coordination among lending, credit and risk teams",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "core_or_servicing",
      "canonical": "Core banking or loan servicing connections",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Core banking or loan servicing connections",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "affordable",
      "canonical": "Cost appropriate to lending volume and budget",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": "Marketing or cost claims do not establish affordability for this lender.",
      "display_label": "Cost appropriate to lending volume and budget",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": "Marketing or cost claims do not establish affordability for this lender.",
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "risk_management",
      "canonical": "Credit risk management",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Credit risk management",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "Portfolio & Risk Management Risk Management and CECL Compliance Tools",
          "start": 1827,
          "end": 1896,
          "quote_sha256": "b36466c26c1ae018d0c4815e426387ef01b6dafe9551c31196309cee4eb3f275"
        }
      ]
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "access_controls",
      "canonical": "Data access restrictions",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Data access restrictions",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "rpo",
      "canonical": "Defined maximum potential data loss",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Defined maximum potential data loss",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "integrationowner",
      "canonical": "Defined ownership, cost and maintenance of integrations",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": "Connections are named; ownership, costs and maintenance responsibilities are not supplied.",
      "display_label": "Defined ownership, cost and maintenance of integrations",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": "Connections are named; ownership, costs and maintenance responsibilities are not supplied.",
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "rto",
      "canonical": "Defined recovery time objectives",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Defined recovery time objectives",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "proof",
      "canonical": "Demonstrated performance using representative loan scenarios",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": "A demo offer or customer outcome claim is not a demonstrated test using representative buyer loan scenarios.",
      "display_label": "Demonstrated performance using representative loan scenarios",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": "A demo offer or customer outcome claim is not a demonstrated test using representative buyer loan scenarios.",
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "document_screening",
      "canonical": "Document screening and verification",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Document screening and verification",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "Turn paperwork into progress with AI that captures, organizes, and validates document data so your team can focus on analysis, decisions, and strategic lending, not manual entry.",
          "start": 6054,
          "end": 6232,
          "quote_sha256": "1de2deab0afe11f2daa9bf7c7ca21a6df8c310cbdbf25dedebab48655f526db8"
        }
      ]
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "api",
      "canonical": "Documented APIs and supported connectors",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": "Developer resources or connections are named; documented APIs and supported connectors are not both established.",
      "display_label": "Documented APIs and supported connectors",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": "Developer resources or connections are named; documented APIs and supported connectors are not both established.",
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "migration",
      "canonical": "Documented migration plan and acceptance criteria",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Documented migration plan and acceptance criteria",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "esign",
      "canonical": "Electronic signature support",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Electronic signature support",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "incident_notification",
      "canonical": "Incident notification commitments",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Incident notification commitments",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "incident_response",
      "canonical": "Incident response procedures",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Incident response procedures",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "price",
      "canonical": "Included capabilities versus configuration or custom development",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": "Products and modules are named; included versus configured/custom scope is not fully supplied.",
      "display_label": "Included capabilities versus configuration or custom development",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": "Products and modules are named; included versus configured/custom scope is not fully supplied.",
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "report_general",
      "canonical": "Lending reporting and analytics",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Lending reporting and analytics",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "approval_steps",
      "canonical": "Loan approval workflows",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Loan approval workflows",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "document_handling",
      "canonical": "Loan document handling",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Loan document handling",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "Turn paperwork into progress with AI that captures, organizes, and validates document data so your team can focus on analysis, decisions, and strategic lending, not manual entry.",
          "start": 6054,
          "end": 6232,
          "quote_sha256": "1de2deab0afe11f2daa9bf7c7ca21a6df8c310cbdbf25dedebab48655f526db8"
        }
      ]
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "mfa",
      "canonical": "Multifactor authentication",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Multifactor authentication",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "implementation_owner",
      "canonical": "Named implementation responsibilities",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Named implementation responsibilities",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "provider_oversight",
      "canonical": "Oversight of service providers",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Oversight of service providers",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "data_ownership",
      "canonical": "Ownership of lending data",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Ownership of lending data",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "report",
      "canonical": "Pipeline, portfolio and operational reporting",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": "Reports or analytics are mentioned; complete pipeline, portfolio and operational reporting is not established.",
      "display_label": "Pipeline, portfolio and operational reporting",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": "Reports or analytics are mentioned; complete pipeline, portfolio and operational reporting is not established.",
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "portfolio_management",
      "canonical": "Post-close loan portfolio management",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": "Servicing or insights are described; loan portfolio management scope is not established.",
      "display_label": "Post close loan portfolio management",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": "Servicing or insights are described; loan portfolio management scope is not established.",
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "support_general",
      "canonical": "Post-launch support",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Post launch support",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "Platform Training & Support Master UN/FY with hands-On Platform Training and Strategic Learning",
          "start": 2692,
          "end": 2787,
          "quote_sha256": "e0805e9ba85d39dd3f7f01fc3773b57cc5fbbbed12d28b37ab94da512826dff0"
        }
      ]
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "references",
      "canonical": "References and evidence from comparable lenders",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": "Named customer examples do not establish comparability to the actual lender.",
      "display_label": "References and evidence from comparable lenders",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": "Named customer examples do not establish comparability to the actual lender.",
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "contract",
      "canonical": "Renewal, termination and transition terms",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": "Limited terms or product information is present; renewal, termination and transition terms are not fully supplied.",
      "display_label": "Renewal, termination and transition terms",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": "Limited terms or product information is present; renewal, termination and transition terms are not fully supplied.",
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "available",
      "canonical": "Required functions currently delivered and available",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": "Named features do not establish availability of the buyer’s complete required functionality.",
      "display_label": "Required functions currently delivered and available",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": "Named features do not establish availability of the buyer’s complete required functionality.",
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "resume",
      "canonical": "Save and resume an incomplete application",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Save and resume an incomplete application",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "document",
      "canonical": "Secure document collection, storage and retrieval",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": "Document functions are named; secure collection, storage and retrieval are not all established.",
      "display_label": "Secure document collection, storage and retrieval",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": "Document functions are named; secure collection, storage and retrieval are not all established.",
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "securitytest",
      "canonical": "Security testing and assessment evidence",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": "Certifications or security architecture are mentioned; actual testing evidence is not supplied.",
      "display_label": "Security testing and assessment evidence",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": "Certifications or security architecture are mentioned; actual testing evidence is not supplied.",
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "adverse",
      "canonical": "Specific adverse action reasons and explanations",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Specific adverse action reasons and explanations",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "audit",
      "canonical": "Tamper-resistant activity and application audit trails",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Tamper resistant activity and application audit trails",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "task_management",
      "canonical": "Task management",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Task management",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "recoverytest",
      "canonical": "Tested restoration and recovery evidence",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Tested restoration and recovery evidence",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "export",
      "canonical": "Usable complete data exports including documents and audit history",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Usable complete data exports including documents and audit history",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "references_general",
      "canonical": "Vendor references and case studies",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Vendor references and case studies",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "retention",
      "canonical": "Application record retention rules and history",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Application record retention rules and history",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "decision_audit",
      "canonical": "Auditable lending decisions",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": "Logs or decisions are mentioned; decision-specific auditability is not established.",
      "display_label": "Auditable lending decisions",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": "Logs or decisions are mentioned; decision specific auditability is not established.",
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "connected_data",
      "canonical": "Connected data without duplicate entry or silos",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Connected data without duplicate entry or silos",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "lender_connections",
      "canonical": "Connections with wholesale lenders",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Connections with wholesale lenders",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "credit_decisions",
      "canonical": "Credit decisioning",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Credit decisioning",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "approval_authority",
      "canonical": "Defined approval authority and limits",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": "Decisions or approvals are mentioned; authority and limits are not specified.",
      "display_label": "Defined approval authority and limits",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": "Decisions or approvals are mentioned; authority and limits are not specified.",
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "document_collection",
      "canonical": "Document collection",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": "Document-data processing is described; collection of borrower documents is not established.",
      "display_label": "Document collection",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": "Document data processing is described; collection of borrower documents is not established.",
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "document_requests",
      "canonical": "Document requests and checklists",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Document requests and checklists",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "docgeneration",
      "canonical": "Dynamic document generation",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Dynamic document generation",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "failure_handling",
      "canonical": "Handling integration failures",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": "Connections are named; failure handling is not described.",
      "display_label": "Handling integration failures",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": "Connections are named; failure handling is not described.",
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "servicing_handoff",
      "canonical": "Handoff from origination to servicing",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Handoff from origination to servicing",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "human_override",
      "canonical": "Human overrides of automated decisions",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": "Human control is mentioned; overrides of automated decisions are not established.",
      "display_label": "Human overrides of automated decisions",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": "Human control is mentioned; overrides of automated decisions are not established.",
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "implementation_timing",
      "canonical": "Implementation duration",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Implementation duration",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "assurance_reports",
      "canonical": "Independent security assurance reports",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": "Certification labels or audits are claimed; actual independent assurance reports are not supplied in this snapshot.",
      "display_label": "Independent security assurance reports",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": "Certification labels or audits are claimed; actual independent assurance reports are not supplied in this snapshot.",
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "kyc",
      "canonical": "Know-your-customer and anti-money-laundering controls",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Know your customer and anti money laundering controls",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "loan_servicing",
      "canonical": "Loan servicing",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": "Portfolio management is described; loan servicing behavior is not established.",
      "display_label": "Loan servicing",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": "Portfolio management is described; loan servicing behavior is not established.",
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "process_metrics",
      "canonical": "Measured completion time, manual work and errors",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Measured completion time, manual work and errors",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "mobile_access",
      "canonical": "Mobile borrower access",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Mobile borrower access",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "mobile_or_channels",
      "canonical": "Mobile-friendly or multi-channel onboarding",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Mobile friendly or multi channel onboarding",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "borrowers_guarantors",
      "canonical": "Multiple borrowers and guarantors",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Multiple borrowers and guarantors",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "uptime_reliable",
      "canonical": "Reliable service availability",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Reliable service availability",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "remote",
      "canonical": "Remote access to lending operations",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Remote access to lending operations",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "uptime_history",
      "canonical": "System uptime history",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "System uptime history",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "export_general",
      "canonical": "Usable lending data exports",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Usable lending data exports",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "vendor_financial",
      "canonical": "Vendor financial stability",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Vendor financial stability",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "test_environment",
      "canonical": "A usable integration test environment",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "A usable integration test environment",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "api_documentation",
      "canonical": "API documentation",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "API documentation",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "native_or_api",
      "canonical": "APIs or built-in integrations",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "APIs or built in integrations",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "dataaccess",
      "canonical": "Accessible underlying lending data",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Accessible underlying lending data",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "accessible",
      "canonical": "Accessible user interfaces",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Accessible user interfaces",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "disclosure_accuracy",
      "canonical": "Accurate lending disclosures",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Accurate lending disclosures",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "consent",
      "canonical": "Application consent records",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Application consent records",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "turnaround_reporting",
      "canonical": "Application conversion and turnaround reporting",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Application conversion and turnaround reporting",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "dynamicforms",
      "canonical": "Application forms that adapt to borrower answers",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Application forms that adapt to borrower answers",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "decision_reporting",
      "canonical": "Approval, denial, override and exception reporting",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Approval, denial, override and exception reporting",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "updates",
      "canonical": "Automatic or ongoing software updates",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Automatic or ongoing software updates",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "backup",
      "canonical": "Backups and disaster recovery arrangements",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Backups and disaster recovery arrangements",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "borrower_experience",
      "canonical": "Borrower and member experience",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Borrower and member experience",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "Move decisions at the speed of business with a guided, digital lending experience that reduces friction for borrowers, empowers bankers to step in with insight when it matters, and accelerates outcomes with actionable intelligence.",
          "start": 5628,
          "end": 5859,
          "quote_sha256": "98dcb62d38f357ca2610429dde949fbeee13667471944bfe46a3d65f116a86db"
        }
      ]
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "risk_retail_or_crm",
      "canonical": "Choice of commercial risk, retail efficiency or CRM integration",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": "This is a buyer-specific architectural choice, priority or system-boundary requirement. The saved page cannot settle it for the buyer.",
      "display_label": "Choice of commercial risk, retail efficiency or CRM integration",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": "This is a buyer specific architectural choice, priority or system boundary requirement. The saved page cannot settle it for the buyer.",
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "system_boundaries",
      "canonical": "Clear boundaries between LOS and separate systems",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": "This is a buyer-specific architectural choice, priority or system-boundary requirement. The saved page cannot settle it for the buyer.",
      "display_label": "Clear boundaries between LOS and separate systems",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": "This is a buyer specific architectural choice, priority or system boundary requirement. The saved page cannot settle it for the buyer.",
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "corporate_entities",
      "canonical": "Complex corporate entity structures",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Complex corporate entity structures",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "reportconfig",
      "canonical": "Configurable dashboards and reports",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": "Widgets or analytics are mentioned; configurable reports and dashboards are not all established.",
      "display_label": "Configurable dashboards and reports",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": "Widgets or analytics are mentioned; configurable reports and dashboards are not all established.",
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "pricing",
      "canonical": "Configurable loan pricing and eligibility rules",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": "Pricing is mentioned; configurable pricing and eligibility rules together are not established.",
      "display_label": "Configurable loan pricing and eligibility rules",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": "Pricing is mentioned; configurable pricing and eligibility rules together are not established.",
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "custom_effort",
      "canonical": "Configuration and customization effort",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Configuration and customization effort",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "data_tool_connections",
      "canonical": "Connections with data warehouses and reporting tools",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Connections with data warehouses and reporting tools",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "channel_connections",
      "canonical": "Connections with digital self-service channels",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Connections with digital self service channels",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "integrationfailure",
      "canonical": "Controlled integration failures, retries and duplicate handling",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": "Connections are named; failures, retries and duplicate handling are not described.",
      "display_label": "Controlled integration failures, retries and duplicate handling",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": "Connections are named; failures, retries and duplicate handling are not described.",
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "cost_reporting",
      "canonical": "Cost per funded loan reporting",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Cost per funded loan reporting",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "risk_scoring",
      "canonical": "Credit risk scoring",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": "Risk or credit analysis is mentioned; risk scoring is not established.",
      "display_label": "Credit risk scoring",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": "Risk or credit analysis is mentioned; risk scoring is not established.",
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "data_exchange",
      "canonical": "Data exchange between connected systems",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Data exchange between connected systems",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "migration_help",
      "canonical": "Data migration support",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Data migration support",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "sync",
      "canonical": "Defined data exchange and reconciliation",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": "Shared data or exchange is mentioned; defined exchange and reconciliation together are not established.",
      "display_label": "Defined data exchange and reconciliation",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": "Shared data or exchange is mentioned; defined exchange and reconciliation together are not established.",
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "export_terms",
      "canonical": "Defined export formats and fees",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Defined export formats and fees",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "support_hours",
      "canonical": "Defined support hours",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": "Support is named; exact hours are not supplied.",
      "display_label": "Defined support hours",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": "Support is named; exact hours are not supplied.",
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "document_security",
      "canonical": "Document security",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": "Document handling is described; document-specific security behavior is not established.",
      "display_label": "Document security",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": "Document handling is described; document specific security behavior is not established.",
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "document_versions",
      "canonical": "Document version history",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Document version history",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "security",
      "canonical": "Documented protection of sensitive borrower data",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": "Security is claimed; complete documented protection is not supplied on the saved page.",
      "display_label": "Documented protection of sensitive borrower data",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": "Security is claimed; complete documented protection is not supplied on the saved page.",
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "uptime",
      "canonical": "Documented system uptime and service commitments",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": "Reliability or availability is mentioned; uptime history and service commitments are not supplied.",
      "display_label": "Documented system uptime and service commitments",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": "Reliability or availability is mentioned; uptime history and service commitments are not supplied.",
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "spreading",
      "canonical": "Financial spreading and global cash flow analysis",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": "Financial spreading is named; global cash flow analysis is not established.",
      "display_label": "Financial spreading and global cash flow analysis",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": "Financial spreading is named; global cash flow analysis is not established.",
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "financial_spreading",
      "canonical": "Financial statement spreading",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Financial statement spreading",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": [
        {
          "quote": "Statement Spreading",
          "start": 7687,
          "end": 7706,
          "quote_sha256": "8aedc208f3b0d96bc9a83358406adf6a3ea3a7c36e6bb07ff2301054d4c2855f"
        }
      ]
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "global_cashflow",
      "canonical": "Global cash flow analysis",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": "Spreading or risk analytics is named; global cash flow analysis is not established.",
      "display_label": "Global cash flow analysis",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": "Spreading or risk analytics is named; global cash flow analysis is not established.",
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "scale",
      "canonical": "Growth in loan volume and additional products or channels",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": "Growth is described; capacity for additional volume together with new products or channels is not fully established.",
      "display_label": "Growth in loan volume and additional products or channels",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": "Growth is described; capacity for additional volume together with new products or channels is not fully established.",
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "subcontractor_dependencies",
      "canonical": "Identified subcontractor dependencies",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Identified subcontractor dependencies",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "advisory_support",
      "canonical": "Implementation and advisory support",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Implementation and advisory support",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "implementation_cost",
      "canonical": "Implementation costs",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Implementation costs",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "securityproof",
      "canonical": "Independent security assurance reports including scope and exceptions",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": "Assurance or certification is claimed; reports including scope and exceptions were not supplied in this snapshot.",
      "display_label": "Independent security assurance reports including scope and exceptions",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": "Assurance or certification is claimed; reports including scope and exceptions were not supplied in this snapshot.",
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "loan_pricing",
      "canonical": "Loan pricing logic",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Loan pricing logic",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "stage_tracking",
      "canonical": "Loan workflow stage tracking",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Loan workflow stage tracking",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "entities",
      "canonical": "Multiple borrowers, business entities and guarantors",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Multiple borrowers, business entities and guarantors",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "multi_guarantors",
      "canonical": "Multiple guarantors",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Multiple guarantors",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "regupdates",
      "canonical": "Ongoing regulatory updates with defined responsibilities",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": "Regulatory support is mentioned; update responsibilities are not defined.",
      "display_label": "Ongoing regulatory updates with defined responsibilities",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": "Regulatory support is mentioned; update responsibilities are not defined.",
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "vendor_oversight",
      "canonical": "Ongoing vendor oversight",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Ongoing vendor oversight",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "migration_downtime",
      "canonical": "Operational downtime during migration",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Operational downtime during migration",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "operational_reporting",
      "canonical": "Operational lending reporting",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Operational lending reporting",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "support",
      "canonical": "Post-launch support and escalation commitments",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": "Support is available; post-launch escalation commitments are not established.",
      "display_label": "Post launch support and escalation commitments",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": "Support is available; post launch escalation commitments are not established.",
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "realtimereport",
      "canonical": "Real time reporting data",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": "Insights or current data are mentioned; real-time reporting is not established.",
      "display_label": "Real time reporting data",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": "Insights or current data are mentioned; real time reporting is not established.",
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "realtime_exchange",
      "canonical": "Real-time data exchange",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Real time data exchange",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "reconciliation",
      "canonical": "Reconciliation of integration data and errors",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Reconciliation of integration data and errors",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "application_history",
      "canonical": "Reconstructable application history",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Reconstructable application history",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "decisionhistory",
      "canonical": "Reconstructable decision inputs, rules, versions and overrides",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": "Decisions and logs are mentioned; complete reconstructable inputs, rules, versions and overrides are not established.",
      "display_label": "Reconstructable decision inputs, rules, versions and overrides",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": "Decisions and logs are mentioned; complete reconstructable inputs, rules, versions and overrides are not established.",
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "decision_reconstruction",
      "canonical": "Reconstructable history of data, rules, decisions and communications",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": "Logs or decisions are mentioned; reconstructable data, rules, decisions and communications together are not established.",
      "display_label": "Reconstructable history of data, rules, decisions and communications",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": "Logs or decisions are mentioned; reconstructable data, rules, decisions and communications together are not established.",
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "approval_records",
      "canonical": "Recorded approvals",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Recorded approvals",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "regulatory_reporting",
      "canonical": "Regulatory lending reporting",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Regulatory lending reporting",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "decision_reproduce",
      "canonical": "Reproducible lending decisions",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Reproducible lending decisions",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "staff_time",
      "canonical": "Required internal implementation staff time",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Required internal implementation staff time",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "aicontrol",
      "canonical": "Reviewable, explainable and disableable AI decisions",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": "Governance or human control is mentioned; review, explanation and disabling AI decisions together are not established.",
      "display_label": "Reviewable, explainable and disableable AI decisions",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": "Governance or human control is mentioned; review, explanation and disabling AI decisions together are not established.",
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "secure_esign",
      "canonical": "Secure electronic signatures",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Secure electronic signatures",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "work_queues",
      "canonical": "Staff work queues",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Staff work queues",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "support_escalation",
      "canonical": "Support escalation procedures",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": "Support is mentioned; escalation procedures are not established.",
      "display_label": "Support escalation procedures",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": "Support is mentioned; escalation procedures are not established.",
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "relationship_lending",
      "canonical": "Support for relationship-based lending",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Support for relationship based lending",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "support_response",
      "canonical": "Support response commitments",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": "Support is named; response commitments are not supplied.",
      "display_label": "Support response commitments",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": "Support is named; response commitments are not supplied.",
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "routing",
      "canonical": "Task routing and escalation",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": "Workflow tools are mentioned; task routing, escalation and stage control are not all established.",
      "display_label": "Task routing and escalation",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": "Workflow tools are mentioned; task routing, escalation and stage control are not all established.",
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "rulehistory",
      "canonical": "Tested rule changes with version history and rollback",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Tested rule changes with version history and rollback",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "decision_trace",
      "canonical": "Traceable decision versions, overrides and reasons",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "unknown_unread_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": "Decisions and logs are mentioned; versions, overrides and reasons are not all established.",
      "display_label": "Traceable decision versions, overrides and reasons",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": "Decisions and logs are mentioned; versions, overrides and reasons are not all established.",
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "central_reporting",
      "canonical": "Unified reporting tools",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Unified reporting tools",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "customer_view",
      "canonical": "Unified view of customer information",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Unified view of customer information",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    },
    {
      "vendor": "Baker Hill",
      "criterion_id": "workload_reporting",
      "canonical": "Workload and bottleneck reporting",
      "page_url": "https://bakerhill.com/",
      "page_read_utc": "2026-10-08T19:15:04.370445+00:00",
      "page_sha256": "9629c1a94545486e6eb701a1eccadd84de83d06d982f1d6390f58230ce50cace",
      "state": "not_stated_on_read_page",
      "scope": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future-feature scope is explicit. Partial scope is unknown, never a gap. Vendor-level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent-audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason": null,
      "display_label": "Workload and bottleneck reporting",
      "scope_display": "Only the dated vendor page identified here. A quoted claim or feature label is not a tested capability. No inference about unread pages, plan inclusion, independent validation or actual functionality. All five complete dated pages were read in this run. Module, integration, customer testimony and future feature scope is explicit. Partial scope is unknown, never a gap. Vendor level lending/risk suite. My Hub personalization configures a workspace, not necessarily credit policies or loan workflows. BKR answers/search and Intelligent Documents processing retain their own scope. Statement Spreading does not establish global cash flow. SOC/ISO and annual independent audit statements are vendor assertions; no report scope or exceptions were supplied. Marketing outcome percentages are not independent results.",
      "scope_unusable_reason_display": null,
      "page_text_sha256": "f914e337a8cc9d7d2eb90641606cd9fb0021a47e63e4e852dccdad2036001cdf",
      "offset_unit": "Unicode code points",
      "review_status": "Team review: in progress",
      "verified": false,
      "evidence": []
    }
  ],
  "vendor_summaries": [
    {
      "vendor": "nCino",
      "metrics": {
        "stated_on_read_page": {
          "count": 20,
          "base": 197,
          "rate": 10.2,
          "lower": 6.7,
          "upper": 15.2,
          "category_median_count": 18,
          "category_median_base": 197,
          "category_median_rate": 9.1
        },
        "not_stated_on_read_page": {
          "count": 120,
          "base": 197,
          "rate": 60.9,
          "lower": 54.0,
          "upper": 67.5,
          "category_median_count": 120,
          "category_median_base": 197,
          "category_median_rate": 60.9
        },
        "unknown_unread_page": {
          "count": 57,
          "base": 197,
          "rate": 28.9,
          "lower": 23.1,
          "upper": 35.6,
          "category_median_count": 57,
          "category_median_base": 197,
          "category_median_rate": 28.9
        }
      },
      "median_population": [
        "nCino",
        "MeridianLink",
        "ICE Mortgage Technology",
        "Abrigo",
        "Baker Hill"
      ],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "vendor": "MeridianLink",
      "metrics": {
        "stated_on_read_page": {
          "count": 18,
          "base": 197,
          "rate": 9.1,
          "lower": 5.9,
          "upper": 14.0,
          "category_median_count": 18,
          "category_median_base": 197,
          "category_median_rate": 9.1
        },
        "not_stated_on_read_page": {
          "count": 122,
          "base": 197,
          "rate": 61.9,
          "lower": 55.0,
          "upper": 68.4,
          "category_median_count": 120,
          "category_median_base": 197,
          "category_median_rate": 60.9
        },
        "unknown_unread_page": {
          "count": 57,
          "base": 197,
          "rate": 28.9,
          "lower": 23.1,
          "upper": 35.6,
          "category_median_count": 57,
          "category_median_base": 197,
          "category_median_rate": 28.9
        }
      },
      "median_population": [
        "nCino",
        "MeridianLink",
        "ICE Mortgage Technology",
        "Abrigo",
        "Baker Hill"
      ],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "vendor": "ICE Mortgage Technology",
      "metrics": {
        "stated_on_read_page": {
          "count": 22,
          "base": 197,
          "rate": 11.2,
          "lower": 7.5,
          "upper": 16.3,
          "category_median_count": 18,
          "category_median_base": 197,
          "category_median_rate": 9.1
        },
        "not_stated_on_read_page": {
          "count": 117,
          "base": 197,
          "rate": 59.4,
          "lower": 52.4,
          "upper": 66.0,
          "category_median_count": 120,
          "category_median_base": 197,
          "category_median_rate": 60.9
        },
        "unknown_unread_page": {
          "count": 58,
          "base": 197,
          "rate": 29.4,
          "lower": 23.5,
          "upper": 36.2,
          "category_median_count": 57,
          "category_median_base": 197,
          "category_median_rate": 28.9
        }
      },
      "median_population": [
        "nCino",
        "MeridianLink",
        "ICE Mortgage Technology",
        "Abrigo",
        "Baker Hill"
      ],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "vendor": "Abrigo",
      "metrics": {
        "stated_on_read_page": {
          "count": 10,
          "base": 197,
          "rate": 5.1,
          "lower": 2.8,
          "upper": 9.1,
          "category_median_count": 18,
          "category_median_base": 197,
          "category_median_rate": 9.1
        },
        "not_stated_on_read_page": {
          "count": 131,
          "base": 197,
          "rate": 66.5,
          "lower": 59.6,
          "upper": 72.7,
          "category_median_count": 120,
          "category_median_base": 197,
          "category_median_rate": 60.9
        },
        "unknown_unread_page": {
          "count": 56,
          "base": 197,
          "rate": 28.4,
          "lower": 22.6,
          "upper": 35.1,
          "category_median_count": 57,
          "category_median_base": 197,
          "category_median_rate": 28.9
        }
      },
      "median_population": [
        "nCino",
        "MeridianLink",
        "ICE Mortgage Technology",
        "Abrigo",
        "Baker Hill"
      ],
      "review_status": "Team review: in progress",
      "verified": false
    },
    {
      "vendor": "Baker Hill",
      "metrics": {
        "stated_on_read_page": {
          "count": 17,
          "base": 197,
          "rate": 8.6,
          "lower": 5.5,
          "upper": 13.4,
          "category_median_count": 18,
          "category_median_base": 197,
          "category_median_rate": 9.1
        },
        "not_stated_on_read_page": {
          "count": 117,
          "base": 197,
          "rate": 59.4,
          "lower": 52.4,
          "upper": 66.0,
          "category_median_count": 120,
          "category_median_base": 197,
          "category_median_rate": 60.9
        },
        "unknown_unread_page": {
          "count": 63,
          "base": 197,
          "rate": 32.0,
          "lower": 25.9,
          "upper": 38.8,
          "category_median_count": 57,
          "category_median_base": 197,
          "category_median_rate": 28.9
        }
      },
      "median_population": [
        "nCino",
        "MeridianLink",
        "ICE Mortgage Technology",
        "Abrigo",
        "Baker Hill"
      ],
      "review_status": "Team review: in progress",
      "verified": false
    }
  ],
  "review_status": "Team review: in progress",
  "verified": false
}