Platform

Casafari is the AI agent-native real estate data intelligence platform. The most complete property index in Europe: a deduplicated, cleaned property graph of residential and commercial property, for sale and for rent, in 16 countries.The most complete property index in Europe: a deduplicated, cleaned property graph.

How the graph is built

Claro AI · Use cases

Score every premises with your own agent

For AI Agent Builder. Use `search_premises` to identify targets and then iterate through pages using `next_cursor` to retrieve every match and its location figure sources.

How can I programmatically score every premises found in a search?

How to iterate through search results

MCP tool: search_premises (REST: POST /v1/claro/search). To ensure your agent evaluates all matching premises, you must implement pagination. Start with search_premises to get your initial results and a next_cursor if available. Use the next_cursor as the cursor parameter in subsequent calls until no further results remain. To get detailed figures for each, ensure your account has location access.

json
POST https://platform.casafari.com/v1/claro/search
Authorization: Bearer $CASAFARI_API_KEY
{
  "brief": "retail space in Madrid, 200 m2",
  "limit": 50
}

You get a list of premises, each with location_sources showing the unit, source, and vintage of the data. Limits are 200 results per page, with check forced off above 50 results.

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