CasafariMCP
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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

Use cases and worked examples · FAQ

How do I value a home or find comparables with Casafari MCP?

To value a home or find comparables, ask your assistant for comparables around an address, as in Casafari's example: a 3-bedroom flat near Avenida da Liberdade, Lisbon, with comparables within 1 km.

  1. The assistant calls comps_get-comparables with a circle. The target point is the address, coordinates or, in Spain, a cadastral reference, and the call also includes the distance in kilometres, operation sale, type apartment and bedrooms.
  2. It returns comparables ranked by similarity, with price, area, status, dates and price-change history. It also returns aggregated statistics and fast-sell, fair-market and out-of-market price estimates.
  3. Set sold_or_rented_after to a date to include properties sold or rented since then, or to null for active properties only.

Over REST, POST /api/v2/comparables/search and POST /api/v1/valuation/comparables-prices do the same job. For area-level questions, first resolve the place with ma_get_location_typeahead.

See: Comparables & Valuation.

Where this is documented

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