Property Valuation with AI: How ATTOM Data Gives Your Agent Real Estate Intelligence
ATTOM property data — AVMs, sales history, tax assessments, rental estimates — is now accessible to AI agents through Pipeworx Housing Intel. Metered per query.
ATTOM Data Solutions is one of the largest property data providers in the United States. Their data powers real estate platforms, lending decisions, insurance underwriting, and investment analysis. If you’ve used a tool that gives you a home value estimate, there’s a good chance ATTOM data is behind it.
Accessing ATTOM directly has traditionally required an enterprise contract — annual subscriptions that start in the thousands of dollars. Through Pipeworx Housing Intel, your AI agent can access ATTOM data on a per-query basis. No enterprise contract, no annual commitment. Metered access to institutional-grade property intelligence.
What ATTOM provides
Property detail (attom_property_detail)
Complete property characteristics for any address: bedrooms, bathrooms, square footage, lot size, year built, stories, property type, and more. This is the foundation for any property analysis.
Automated Valuation Model (attom_avm)
ATTOM’s AVM provides an estimated market value for a property based on comparable sales, property characteristics, and local market conditions. This is the same class of valuation model that lenders and institutional investors use for preliminary assessments.
Sales history (attom_sales_history)
Every recorded sale transaction for a property — sale dates, sale prices, buyer/seller information, and transaction types. See what a property sold for in 2015, 2019, and 2023 to understand appreciation patterns.
Tax assessment (attom_assessment)
County tax assessments including assessed value, land value, improvement value, and tax amounts. Assessed value vs. market value gaps can indicate opportunity or risk.
Rental AVM (attom_rental_avm)
Estimated rental value for a property based on local rental market data. Essential for investment analysis — combine with the purchase AVM and you can estimate cap rates and cash flow potential.
School search (attom_school_search)
Nearby schools with ratings, distance, grade levels, and enrollment. School quality is one of the strongest predictors of property value in residential real estate.
Property search (attom_search)
Find properties by address, ZIP code, or geographic area. The starting point for market research and portfolio analysis.
Sales trends (attom_sales_trend)
Market-level sales volume and price trends by geography. See whether a market’s transaction volume is increasing or declining and how median prices are moving.
Example: Complete property report
Ask your AI: “Tell me everything about 456 Oak Avenue, Austin TX.”
Housing Intel chains ATTOM tools:
attom_property_detail— 3 bed, 2 bath, 1,850 sq ft, built 2004, 0.18 acre lotattom_avm— estimated market value: $485,000attom_sales_history— sold for $310,000 in 2018, $425,000 in 2021attom_assessment— tax assessed at $445,000, annual taxes $8,900attom_rental_avm— estimated rental value: $2,400/monthattom_school_search— 3 schools within 2 miles, ratings 7-9/10
Or call housing_property_report — the compound tool that runs all of this in one call.
Example: Investment analysis
Ask: “What’s the cap rate potential for rental properties in ZIP 78704?”
Housing Intel chains:
attom_search— find properties in ZIP 78704attom_avm— estimated values for eachattom_rental_avm— estimated rents for eachhud_fair_market_rents— HUD’s fair market rent for the area (Section 8 benchmark)altos_market_stats— current inventory and days on market
Example: Market comparison
Ask: “Compare the housing markets in Denver, Austin, and Nashville.”
Housing Intel chains:
attom_sales_trend— sales volume and median price trends for each metroaltos_market_stats— inventory, new listings, pending sales for eachfred_get_series— metro-level Case-Shiller indicesbls_get_series— employment and wage data for each metro
Who uses this
- Real estate agents providing property reports to clients without manual data gathering
- Investors evaluating acquisition targets and portfolio performance
- Lenders running preliminary property assessments before formal appraisal
- Homebuyers researching properties with institutional-quality data
- Analysts comparing markets and identifying trends
Connect
{
"mcpServers": {
"pipeworx-housing": {
"url": "https://gateway.pipeworx.io/mcp?vertical=housing"
}
}
}
ATTOM data is proprietary and metered per query through Pipeworx. This is data that real estate professionals pay thousands per year to access through enterprise subscriptions. Through Pipeworx, it’s available to any AI agent on a per-use basis — pay for what you query, nothing more.