One platform, two ways to plug Homesage.ai’s 155M+ property dataset into your product — a full set of real estate REST APIs for IT developers, and MCP connectors that drop the same investor-grade real estate intelligence straight into any AI assistant.
The real estate REST APIs and the MCP connectors run on the same engine behind Investment Property Search and Full Property Reports — pick the path that fits how you build.
Connect once and ask in plain English. The MCP brings investor-grade property analysis into Claude, ChatGPT, Gemini, Cursor, and any MCP-compatible assistant.
A Bearer-JWT REST API that adds AI-powered property data to any application — 30+ endpoints across property data, valuations, investment analysis, and skip tracing.
Browse every endpoint with full specs, then go live with step-by-step guides, copy-paste code recipes, and an interactive workbench.
Whether you’re embedding data through the API or adding property intelligence to your AI assistant, you’re working from the same 155M+ property dataset.
Homesage.ai provides insights on over 155 million US property records through one dataset, exposed two ways. Pick the integration that matches how your product works — or use both.
You're building a web app, backend service, or data pipeline — and want full control over requests, batching, and JSON responses. Standard HTTP endpoints fit any language or stack.
You're building an AI agent, assistant, or copilot. The Model Context Protocol drops Homesage.ai's property tools straight into your model, so it can pull valuations, comps, and rent estimates live in the flow of a conversation.
Both serve the same property dataset. The REST API is built for traditional applications and backends that make HTTP requests, while the MCP (Model Context Protocol) lets AI agents and assistants call Homesage.ai's property tools directly. Same data, two delivery methods.
Property valuations, comparable sales, long- and short-term (Airbnb) rent estimates, renovation cost breakdowns, flip and investment return projections, owner and skip-trace details, and neighborhood risk signals — drawn from insights on 155M+ US property records.
A real estate MCP is a Model Context Protocol server that exposes Homesage.ai's property data as tools an AI assistant can call on its own. It lets a model fetch live valuations, comps, and rental estimates inside a conversation without custom integration code.
Create a sandbox account at developers.homesage.ai to get an API key, explore the endpoints in the interactive docs, and start making test calls. The same credentials work for both the REST API and the MCP.
Access is credit-based, with plans starting at $160/month on annual billing. Larger tiers add more monthly credits, and Enterprise pricing is available. See the pricing page for current tiers.