ATTOM, one of the country’s largest property data providers, has introduced three specialized artificial intelligence agents designed to let real estate professionals, lenders and investors query its database using natural language instead of building custom reports or code, the company announced Tuesday.
The agents expand ATTOM Intelligence, the AI framework the company introduced earlier this year to govern how its property data is structured and delivered to AI systems. The new tools sit on top of ATTOM’s existing MCP Server, an integration layer that lets large language models and AI applications pull structured property data directly into automated, multi-step workflows.
The three agents target different use cases. The Property & Place Insights Agent answers natural-language questions about individual properties, parcels, neighborhoods and locations, surfacing details in seconds that would otherwise require a manual database query. The Data Analyst Agent handles aggregated, market-level questions, letting users compare markets, evaluate portfolios and pull research-grade trend data without a data science background. The Report Generation Agent automates the creation of client-facing reports, combining property characteristics, valuations, comparable sales, maps and neighborhood data into a finished document.
“Artificial intelligence is reshaping every industry, and organizations are increasingly looking for new ways to turn data into insights,” ATTOM CEO Rob Barber said in the announcement.
Todd Teta, ATTOM’s chief product and technology officer, said the company’s advantage over general-purpose AI tools is the underlying data itself. “The real value of ATTOM Intelligence is its ability to transform data into intelligence,” Teta said, pointing to the depth of the company’s property records as the differentiator against off-the-shelf AI assistants that lack authoritative real estate data.
ATTOM’s database covers roughly 160 million U.S. properties, or about 99% of the population, drawing on property tax records, deeds, mortgages, foreclosure filings, environmental risk data, natural hazard data and neighborhood-level information. That foreclosure data has powered some of RealtyWire’s own market coverage, including reporting on Florida’s rising foreclosure filings earlier this year. The company sells access through APIs, bulk licensing, cloud delivery and now its MCP Server and AI agents, serving lenders, investors, government agencies, insurers and real estate technology firms that build products on top of ATTOM’s data.
The three agents are available now. ATTOM has scheduled a live webinar to demonstrate the products for September 24 at 11 a.m. Pacific time.
What it means: The launch is part of a broader shift among established real estate data vendors toward “agentic” AI — tools that don’t just return raw data but can independently look up, analyze and package information the way an analyst would. ATTOM has moved quickly on this front this year, layering AI agents on top of the MCP Server and AI-powered valuation model it introduced earlier in 2026. For an industry that has historically relied on manually built dashboards and static reports, natural-language access to property records could meaningfully cut the time brokers, lenders and investors spend compiling market research — though, as with any AI tool built on proprietary data, the quality of the output will depend on how well the underlying data is maintained and how the agents are trained to avoid errors in edge cases.
ATTOM’s agents are the latest example of proptech vendors racing to bolt AI tools onto established data platforms; RealtyWire has also tracked brokerages themselves adopting third-party AI operating platforms to automate back-office and client-facing work.
What to watch: Whether competing property data providers respond with similar natural-language tools, and how quickly lenders and brokerages incorporate agentic AI research tools into day-to-day workflows versus treating them as a novelty.
