Real estate app development moves faster when the data layer is already built. Homesage.ai gives your application or AI agent two ways in — REST APIs and MCPs — both powered by insights on 155M+ US property records. Pick your path, grab a sandbox key, and ship.
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.
Step 1 — create a free sandbox account and get an API key instantly. Step 2 — explore all 30+ endpoints with full specs, credit pricing, and code recipes in the API library. Step 3 — swap to a production key, pick a credit plan, and go live. The same credentials work for both the REST API and the MCP, and everything runs on insights from 155M+ US property records.
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.
30+ REST endpoints cover every layer of property intelligence, each documented in the API Library with sample calls, credit pricing, and code recipes.
Core parcel facts, ownership records, sold properties by ZIP, square footage per floor, and home value history for any US address.
Flip return analysis, long- and short-term rental projections, renovation returns, and investment potential grades for deal screening.
Current value estimates, comparable sales, property condition from photos, Seller Motivation Score, and market outlook forecasts.
Verified owner names, mailing addresses, phone numbers, and emails, plus associated people and bulk lookups for outreach.
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.
The API uses Bearer-JWT authentication with OAuth 2.0 support and is SOC 2 compliant. Generate a key from your dashboard and pass it as a Bearer token in the Authorization header — one key works for both REST and MCP access.
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.
Yes. Sandbox accounts include free test credits so you can call every endpoint before paying. Production access is credit-based with plans starting at $160/month on annual billing — see the pricing page for current tiers.