
Trust in real estate lending has always depended on title data—but the definition of “trustworthy” has changed. Speed alone no longer satisfies investors, regulators, or sophisticated lenders. What matters now is transparency: the ability to understand where title data came from, how current it is, and how conclusions were reached.
For decades, the industry relied on static title reports delivered as PDFs. These documents summarized findings, but they rarely exposed the underlying data or verification logic. As loan volumes scale and regulatory scrutiny tightens, this opacity has become a liability.
JSON title reports represent a structural shift away from narrative documents and toward verifiable, machine-readable title intelligence. And nowhere is this shift more clearly executed than at AFX Research.
At first glance, a PDF title report appears authoritative. It is formatted, complete, and often signed off by a vendor. But beneath the surface, PDFs obscure critical details that matter to downstream decision-makers.
A lender reviewing a traditional report often cannot easily determine when the public record was last checked, which offices were searched, whether data gaps existed, or how conflicts were resolved. These assumptions are embedded in prose rather than exposed as data.
This creates friction when files are reviewed post-close, during audits, or under litigation. Investors want consistency across portfolios. Regulators want defensibility. Servicers want clarity when enforcing rights years later. PDFs were never designed to support these demands.
JSON title reports fundamentally change how trust is established because they separate data from interpretation.
Instead of a single narrative conclusion, each component of title—ownership, liens, legal description, recording information—exists as a discrete field with defined meaning. This structure allows systems and humans to see not just the outcome, but the inputs that produced it.
Structured output makes uncertainty visible instead of hiding it. Missing data is flagged rather than assumed. Conflicts can be isolated to specific fields. Verification timestamps can be reviewed independently of conclusions. This level of clarity is what investors and regulators increasingly expect.
Institutional capital does not evaluate loans one at a time. It evaluates portfolios, patterns, and processes. When title data is delivered in inconsistent or narrative formats, investors are forced to rely on vendor assurances rather than independent validation.
JSON title reports allow investors to assess risk systematically. Fields are consistent across files, logic can be applied uniformly, and exceptions can be reviewed without reopening entire documents. This enables portfolio-level confidence rather than file-by-file trust.
In practice, lenders using structured title data report materially lower post-close exception rates—often by more than 30 percent—because inconsistencies surface early instead of being discovered months later.
Regulators do not evaluate title work based on presentation. They evaluate it based on process integrity.
When agencies examine a loan decision, they want to know what data was available at the time, whether it was current, and how it was used. PDFs make these questions difficult to answer because they blend data, assumptions, and conclusions together.
JSON title reports create a clear audit trail. Source data, verification dates, and applied logic can be examined independently. This makes it far easier for lenders to demonstrate diligence, consistency, and compliance during audits or enforcement actions.
In a regulatory environment where penalties often stem from inability to prove process rather than intent, structured transparency is a meaningful risk reducer.
Many lenders rely on aggregated title data believing it offers sufficient coverage. Aggregators serve a role, but their limitations are structural.
Aggregated data is collected on batch schedules dictated by county release cycles. Normalization occurs after ingestion, often without exposing how conflicts were resolved. Certain instruments may be excluded entirely depending on jurisdiction. Most importantly, aggregators explicitly disclaim timeliness and accuracy in their own documentation.
AFX field research consistently finds ownership or lien inaccuracies in roughly 20 to 25 percent of aggregated reports, particularly in vesting, parcel matching, and recently recorded documents. These are not edge cases—they are systemic outcomes of indirect data access.
JSON title reports sourced directly from live public records remove this ambiguity by making verification explicit rather than implied.

AI is exceptionally good at processing structured data. It is not capable of bypassing the fragmented, legally restricted nature of U.S. public record systems.
With more than 3,600 counties operating independently—many without APIs, consistent digitization, or online access—real-time title verification still requires human expertise. AI cannot scrape what counties do not expose, nor can it resolve local nuances without context.
AFX Research was built around this reality. Its hybrid model combines certified abstractors who access records directly with AI systems that standardize and validate findings into structured JSON output. This approach delivers both timeliness and structure without sacrificing accuracy.
Transparency is not just a regulatory or investor concern—it materially improves operations.
When title data is structured, systems can act on it. JSON title reports integrate directly into loan origination systems, servicing platforms, and internal rule engines. This reduces manual interpretation, rekeying, and subjective decision-making.
Lenders using structured title data consistently report faster post-close reviews, fewer draw-stage delays, and cleaner handoffs between origination and servicing. Instead of managing documents, they manage decisions.
This is especially critical in high-risk scenarios such as construction draws, HELOCs, modifications, and loss-mitigation reviews, where outdated or inferred title data can expose lenders to significant financial loss.

Structured title data is no longer experimental. It is already being used where accuracy is non-negotiable.
Lenders rely on JSON title reports for draw disbursements between policy events, pre-sale quality control, portfolio surveillance, and foreclosure preparation. In these moments, relying on batch-fed or narrative data introduces unacceptable uncertainty.
One missed lien or vesting error can collapse lien priority and create six- or seven-figure exposure. Transparency is not a feature—it is protection.
AFX Research did not start with software and work backward. It started with public-record reality and built systems that respect it.
For more than three decades, AFX has navigated every variation of county recording infrastructure in the United States. That experience is embedded in its hybrid model, which delivers same-day, public-record-verified title intelligence in structured JSON formats.
AFX has applied this approach across more than $2.5 trillion in property value, supporting lenders, servicers, investors, and government agencies that require defensible data—not assumptions.
While others optimize for speed or scale alone, AFX optimizes for truth at the source, then delivers that truth in a format modern systems can trust.
In today’s lending environment, trust is no longer granted by reputation alone. It is earned through transparency.
JSON title reports do not eliminate judgment; they document it. They do not replace expertise; they expose it. They give investors and regulators the ability to see not just conclusions, but the data and logic behind them.
AFX Research leads this shift by delivering title intelligence that is verifiable, structured, and built for scrutiny—because in modern lending, the most valuable asset is not speed, but certainty.
Regulators prioritize verifiability and audit trails. JSON title reports separate source data, verification timestamps, and conclusions into structured fields, making it easier to confirm what information was relied on at the time of a lending or servicing decision. PDFs summarize outcomes but obscure how those outcomes were reached, which complicates audits and enforcement reviews.
Structured title data allows investors to apply consistent logic across thousands of loans, rather than relying on file-by-file narrative review. This enables portfolio-level validation of lien priority, vesting consistency, and exception handling, reducing the likelihood of post-sale defects, repurchase exposure, or unexpected loss severity.
Yes. Aggregated data is typically batch-fed, normalized, and delivered with disclaimers regarding accuracy and timeliness. JSON title reports sourced from live public records expose verification dates and source-level findings, making them materially more defensible in regulatory examinations, securitization reviews, and litigation contexts.
No. JSON title reports enhance transparency but do not replace judgment. AFX’s hybrid model combines certified abstractor verification with AI-driven structure, ensuring that human expertise is preserved while conclusions are clearly documented and machine-readable for oversight, review, and compliance purposes.
Structured title reports are most valuable in high-risk or time-sensitive scenarios such as construction draws, loan modifications, pre-sale quality control, portfolio surveillance, and foreclosure preparation. In these cases, reliance on outdated or inferred title data can materially impact lien priority, recovery outcomes, and regulatory exposure.
{
"your_order_number": "1663232-1212",
"afx_property_id": "79-275248-47",
"file_name": "1663232-1212-TS.pdf",
"public_url_to_file": "https://ourfileurl.com/files/download/431365FR2aPVJhUTIs6K4emWn7LPN5RGDvrT1WtQAHRKE3g",
"report_data":
{
"productID": "116",
"productName": "Current Owner Search w/ Taxes",
"propertyID": "79-275248-47",
"yourReferenceNumber": "ABCD1234",
"yourOrderNumber": "1663232-1212",
"yourMortgageeSiteName": "ABC MONEYSOURCE MORTGAGE COMPANY",
"dateComplete": "08/19/2024",
"dateEffective": "08/16/2024",
"propAddress": "123 SE TEST ROAD",
"propCity": "ESTACADA",
"propState": "OR",
"propZip": "97020",
"propCounty": "CLACKAMAS",
"propAPN": "111025371-012",
"propAltAPN": "R-3-4E-21-C-A-01500",
"propLegal": "SUBDIVISION VISTA TEST 4366 TRACT C",
"propOwner": "CORY TIPTON",
"landValue": "100000.00",
"buildingValue": "250000.00",
"propValue": "350000.00",
"overallTaxNotes": "",
"taxesExists": 1,
"taxes": [
{
"year": "2023",
"period": "",
"status": "PAID",
"date": "",
"amount": "3141.26"
},
{
"year": "2024",
"period": "",
"status": "DUE",
"date": "",
"amount": "3721.10"
}
],
"deedsExists": 1,
"deeds": [
{
"type": "WARRANTY DEED",
"dated": "03/13/2024",
"recorded": "03/13/2024",
"instrument": "2024-008696",
"book": "",
"page": "",
"torrens": "",
"grantorName": [
"NORTHWEST CORE HOLDINGS, LLC"
],
"granteeName": [
"CORY TIPTON"
],
"notes": ""
},
{
"type": "DEED",
"dated": "01/31/2024",
"recorded": "02/02/2024",
"instrument": "2024-003832",
"book": "",
"page": "",
"torrens": "",
"grantorName": [
"VISTA TEST HOMEOWNER'S ASSOCIATION"
],
"granteeName": [
"JOHN DOE"
],
"notes": ""
}
],
"mortgagesExists": 1,
"mortgages": [
{
"type": "DEED OF TRUST",
"dated": "04/20/2024",
"recorded": "04/30/2024",
"instrument": "2024-015037",
"book": "",
"page": "",
"amount": "312000.00",
"mortgagorName": "JOHN DOE",
"mortgageeName": "ABC MONEYSOURCE MORTGAGE COMPANY",
"trusteeName": "FIDELITY NATIONAL TITLE COMPANY OF OREGON",
"mersName": "EVERGREEN MONEYSOURCE MORTGAGE COMPANY",
"mersMIN": "1000235-0023016999-7",
"mersStatus": "ACTIVE",
"relatedDocsExists": 1,
"relatedDocs": [
{
"type": "ASSIGNMENT",
"desc": "UMB BANK NATIONAL",
"recorded": "02/28/2024",
"instrument": "",
"book": "1130",
"page": "415"
}
],
"notes": ""
},
{
"type": "HELOC",
"dated": "06/25/2024",
"recorded": "06/30/2024",
"instrument": "2024-016054",
"book": "",
"page": "",
"amount": "30000.00",
"mortgagorName": "JOHN DOE",
"mortgageeName": "TRUST CREDIT UNION",
"trusteeName": "",
"mersName": "",
"mersMIN": "",
"mersStatus": "",
"relatedDocsExists": 0,
"notes": ""
}
],
"liensExists": 0,
"overallLienNotes": "",
"miscsExists": 0,
"reportNotes": "",
"dateSubmitted": "08/19/2024 10:14:31 AM",
"currentDeedRecordDate": "03/13/2024"
}
}