Property Data & Intelligence – Built for AI

Trusted property data with AI-native delivery and AI-powered analytics designed for modern real estate applications. ATTOM multi-sources property tax, deed, mortgage/transactions, ownership, foreclosure, AVM, environmental risk, natural hazard, boundary, schools, and neighborhood data for more than 160+ million U.S. residential and commercial properties covering 99 percent of the nation’s population.

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Award-Winning Innovation

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Flexible Delivery Solutions for Consuming Real Estate Data

ATTOM’s customizable property data delivery solutions will meet your specific challenges, opportunities, and objectives. We streamline data management and allow for easy implementation, through a variety of delivery solutions to meet your real estate data needs, including:

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Property Data APIs

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AI-Native & Cloud Delivery

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Bulk Data Licensing

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Research Tools

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And More

ATTOM Table Of Elements

Comprehensive Real Estate Data

ATTOM has built a national data warehouse that encompasses more than 160 million residential and commercial properties, multi-sourced from more than 3,000 U.S. counties.

Our Table of Data Elements represents a structured foundation of nationwide property, ownership, mortgage, market, and risk datasets. On top of that foundation, we offer advanced analytics and AI-powered models to transform raw records into connected, enterprise-ready intelligence.

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LendingTree optimizes its digital mortgage application process with the help of bulk property data from ATTOM.”

Tendayi Kapfizde

Tendayi Kapfizde

Chief Economist, LendingTree

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How Various Industries Utilize ATTOM

Residential Real Estate

  • Buyer/seller lead generation
  • Consumer portal UX
  • CRM and marketing

Home Services

  • Lead generation
  • Customer retention
  • Contractor workflow management

Financial Services

  • Real estate investing
  • Asset management
  • Alternative/algorithmic Investing

Mortgage

  • Lead generation
  • POS and LOS enrichment
  • Underwriting
  • Securitization & servicing
  • Portfolio risk analytics

Insurance

  • Claims analysis
  • Streamlined inspections
  • Loss/control decisions
  • Cat modeling
  • Tier placements

Marketing

  • Predictive analytics
  • Propensity models
  • Real-time data

And More

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