BatchData launches Comparables API for AI-driven property valuations

BatchData has released a Comparables API that lets customers define what counts as a matching property and returns 24 attributes per comparable across more than 155 million U.S. property records. The launch is aimed at valuation models, agents and real estate workflows that need explainable results instead of black-box estimates.

Why it matters: - BatchData is aiming at a long-running problem in property valuation: many tools produce a number without showing how they got there. - The new API is designed to make comparable-sales analysis explainable, configurable and usable by AI agents as well as human teams. - More transparent valuation inputs can help sellers, lenders, investors and brokers defend pricing decisions with specific evidence.

What happened: - BatchData released its Comparables API for U.S. property data. - The API returns 24 attributes per comparable sale. - The coverage spans more than 155 million U.S. property records. - Customers get nine controls to define what qualifies as a match. - The service is available now to customers in the United States. - API documentation is available at developer.batchdata.com.

The details: - The nine matching controls include distance from the subject property, a custom geographic boundary, bedroom count, bathroom count, living area, year built, lot size, story count and subdivision. - Characteristic controls work as ranges around the subject property instead of fixed absolute values. - BatchData says that lets the same configuration work across different property types, from a two-bedroom bungalow to a six-bedroom new build. - Each comparable returns size, layout and age data, including bedrooms, bathrooms, living area, total building area, stories, year built and pool presence. - Sale-history fields include last sale price, price per square foot, sale date and hold period before resale. - Returned value data includes an estimated value plus low and high bounds. - Lot and land fields include lot size in acres and square feet. - Classification fields include property class, property type, standardized land use and vacant status. - Ownership context includes ownership type and whether the owner occupies the property. - Each record also includes subdivision name, listing status, address and record identifiers. - The API is built to support automated valuation models, instant market analyses, home value tools, pricing and offer engines, portfolio revaluation and mispricing detection. - Delivery works from a single address to millions of properties, using paging for interactive use and bulk delivery for scheduled or analytical work. - Customers can also request counts and aggregate metrics without pulling full records. - The API is exposed through BatchData's MCP server, so assistants, coding agents and custom agents can request matches directly. - BatchData says the underlying records are assembled from multiple independent sources and are normalized for consistent comparison. - The same BatchData property data API endpoints also serve ownership, mortgage, valuation and listing data. - Existing customers do not need a second vendor, second contract or second data model to add comparables.

Between the lines: - The product is built around a narrower data payload than a full property record, which should make it faster for software and agents to request and parse. - The control set gives customers more ownership of the valuation logic, which matters when a number has to be explained to a seller, partner or client. - BatchData is also positioning comparables as infrastructure for agentic workflows, not just a feature for classic real estate software. - The launch broadens the company's pitch from property data access to decision-ready valuation workflows.

What's next: - BatchData expects adoption across investment platforms, property portals, brokerage software, lending technology, institutional portfolio operators, market research teams, title and transaction services, and AI agents or assistants. - The company says AI agents and assistants are the newest segment and the one it expects to grow fastest. - Customers can use the same comparable tools from any MCP-compatible client they adopt next, without new integration work. - BatchData says full attribute detail, matching controls and integration guidance are available directly from the company.

The bottom line: - BatchData is packaging comparable-sales data as a configurable, explainable building block for valuation software and AI agents, with one integration for both human workflows and autonomous ones.