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

Commercial rent benchmark

What premises ask in three candidate towns.

  • You get: Benchmark table.
  • Where: Spain.
  • Cost: €3.00 a run · 75 tokens, per project.
  • Status: runs today.

It uses Claro AI. Ask for another country and the plan names what is missing. Written for: Retail or commercial expansion, Investor or fund.

Run in Claude

Add the one Casafari MCP server, https://platform.casafari.com/mcp, to Claude, ChatGPT or any MCP client (it carries Claro AI), and sign in the first time you use it (a Free account, no card, is created then; console).

In Claude Code:

bash
claude mcp add --transport http casafari https://platform.casafari.com/mcp

Then ask:

text
Run the commercial rent benchmark playbook for Spain: call claro_market_snapshot, in that order, and tell me what each step cost in tokens.

Get the API calls

The same steps as REST calls, in order. Create a platform API key in the console and export it as CASAFARI_API_KEY; each call takes the parameters its operation documents in the REST reference.

bash
# 1. Claro AI (3 times), 25 tokens a call
curl -X POST https://platform.casafari.com/v1/claro/market \
  -H "Authorization: Bearer $CASAFARI_API_KEY"
The steps, and what each costs
#StepProductTokens
1claro_market_snapshot × 3Claro AI75

One run: €3.00, 75 tokens at €0.04 each. Each call costs the same over MCP and REST, so the run always costs what the table says. How many tokens your volume needs, and plans and credits.

Other playbooks

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