ATTOM Adds 3 AI Agents That Turn Licensed Property Data Into Research and Reports
The practical shift is from data retrieval toward defined natural-language workflows, while permissions, metering and plan limits remain at the access layer.
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The practical shift is from data retrieval toward defined natural-language workflows, while permissions, metering and plan limits remain at the access layer.
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ATTOM is turning its licensed U.S. property database into three task-specific agent workflows: property research, market analysis, and customer-ready reporting. The agents are delivered through an MCP-based workbench that can connect with Claude and ChatGPT, while APIs, bulk licensing, and cloud delivery remain available. Each tool call counts as one request, with plan-based quotas and permissions enforced by the MCP server.
Property & Place Insights covers individual properties, parcels, neighborhoods and places; Data Analyst handles aggregated market and portfolio questions.
Report Generation combines characteristics, valuations, comparable sales, maps and neighborhood insights into customer-facing deliverables.
The MCP server applies authentication, entitlements, permissions, logging and monitoring; ATTOM says it does not retain requests or responses.
ATTOM customers can now use specialized AI workflows to investigate a property, analyze a housing market or produce a customer-facing report from property data. The company added three agents and an enhanced MCP Server to ATTOM Intelligence, moving beyond raw record retrieval toward defined workflow outputs.
The new agents divide property work by output. Property & Place Insights handles questions about a property, parcel, neighborhood or place. Data Analyst is for aggregated housing and property questions, including trends, market comparisons, portfolio evaluation and research retrieval.
Report Generation is the furthest step from a conventional data lookup: it assembles several categories of ATTOM data into a finished deliverable. ATTOM says it plans to add more specialized agents and capabilities.
ATTOM’s MCP server sits between a model’s tool call and its existing systems. It translates those calls into data requests while applying authentication, customer-plan entitlements, permissions, logging and usage monitoring. ATTOM says the server acts as a real-time broker and does not persist requests or responses.
The commercial mechanics remain granular. Each tool invocation counts as one request regardless of the amount returned, and customer plans set rate limits and monthly quotas. Calling separate tools for a property profile, valuation, comparable sales and permits consumes four requests.
The agents are part of a self-service workbench built with MCP and Agent2Agent. ATTOM says customers can connect the service to supporting applications, including Claude and ChatGPT. Direct APIs, bulk licensing and cloud delivery remain available, making the agents an additional access route rather than a replacement.
ATTOM also says it is continuing a technical collaboration with Snowflake on enterprise AI solutions powered by its property data.
ATTOM says its data estate covers 160 million U.S. properties, representing 99% of the U.S. population. Those company-supplied coverage figures do not measure whether an agent retrieves the right records, applies a suitable analysis or produces an appropriate report. No independent accuracy evaluation for the new agents is described, leaving that question open for customers using the outputs in consequential property workflows.
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