CoreLogic Property Data API
CoreLogic Property Data and Analytics REST API for real estate property intelligence, valuation, and risk assessment. Enables AI agents to manage automated valuation model (AVM) and property value estimation for mortgage and insurance underwriting, handle property characteristics and improvement data for property intelligence, access flood zone and natural hazard risk data for property risk assessment, retrieve mortgage lien and ownership history for title and lending research, manage property tax assessment and assessment appeal data for tax analytics, handle rental market data and rent estimate for investment analytics, access MLS data integration and listing analytics for real estate market intelligence, retrieve property condition and quality scoring for underwriting, manage neighborhood demographics and market analytics for real estate research, and integrate CoreLogic with LOS, insurance core systems, and real estate platforms.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
Property intelligence. SOC2, ISO27001. OAuth2 with scopes. US. Property and real estate data.
⚡ Reliability
Best When
A mortgage lender, insurer, real estate investor, or title company wants AI agents to automate property valuation, risk assessment, lien research, rental analytics, and real estate market intelligence.
Avoid When
FAIR HOUSING AND VALUATION BIAS: Automated property valuations used in lending must be tested for Fair Housing Act disparate impact; AVM models trained on historical data can perpetuate historical housing discrimination patterns; AVM-based lending decisions require regular bias audit. ECOA adverse action on AVM — adverse lending decisions based on automated property valuations require ECOA adverse action notice including the specific AVM used; AVM-only decisions without human review may not meet ECOA requirements for complex appraisal situations. Appraisal independence — automated AVM integration in mortgage lending must comply with FIRREA appraisal independence requirements; AVM substitution for regulated appraisals requires compliance with GSE and agency guidance on AVM acceptability.
Use Cases
- • Estimating property values from AVM agents
- • Assessing flood risk from property risk agents
- • Researching lien history from title research agents
- • Scoring property condition from underwriting agents
Not For
- • Non-real-estate industries without property data needs
- • International property markets outside CoreLogic US coverage
- • Simple address validation without property analytics
Interface
Authentication
CoreLogic uses API key and OAuth 2.0 with scopes. REST API with JSON. Developer portal at developer.corelogic.com. Irvine, California HQ. Founded 2010 (spun off from First American Financial). Private (Stone Point Capital, TA Associates, 2021 $6B privatization). 19,000+ clients. Largest US property data company. Mortgage, real estate, and insurance data. Competes with Verisk, Attom, and Black Knight for property data and analytics.
Pricing
Irvine, California. Stone Point/TA Associates (private 2021 $6B). Founded 2010. 19,000+ clients. Largest US property data company. Competes with Verisk and Attom.
Agent Metadata
Known Gotchas
- ⚠ FAIR HOUSING AVM BIAS: Automated AVM valuations used in lending must be audited for disparate impact on protected classes; historical property data reflects historical discrimination patterns; automated lending using unchecked AVM models creates Fair Housing Act and ECOA exposure
- ⚠ FIRREA appraisal independence — automated AVM integration in residential mortgage lending must comply with appraisal independence requirements; AVM substitution for regulated appraisals requires compliance with GSE (Fannie Mae, Freddie Mac) AVM acceptability guidelines
- ⚠ ECOA adverse action notice for AVM — adverse lending decisions based on property valuations require ECOA adverse action notice including the specific tool; automated AVM-only decisions without human review may not meet ECOA requirements for complex situations
- ⚠ Data licensing use restrictions — CoreLogic property data has strict end use license restrictions; automated data redistribution, bulk download, or competitive use may violate CoreLogic license terms
- ⚠ AVM model confidence intervals — automated decisions based on AVM must consider forecast standard deviation (FSD); AVMs with high FSD (>15%) are less reliable and require human review or traditional appraisal
- ⚠ Flood zone data FEMA vs private — CoreLogic flood data supplements FEMA NFIP flood zone maps with enhanced modeling; automated insurance decisions using CoreLogic flood data vs official FEMA determinations require understanding of which source controls for regulatory purposes
Alternatives
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Scores are editorial opinions as of 2026-03-07.