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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

Portfolio revaluation

Revalue a book of homes every month.

You get: File per run (per 100 homes). It uses Comparables, takes 2,500 tokens a run (€100 at €0.04 a token) and runs monthly. For: Bank, valuer or servicer, Investor or fund.

Status: runs today.

What it does

#StepProductTokens
1comparables_get_comparables × 100: a hundred homesComparables2,500

One run: 2,500 tokens, €100. 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.

Where it runs

Every country the products it uses cover. The plan names a country that one of them does not.

Run in Claude

This playbook calls one Casafari MCP server. Add it to Claude, ChatGPT or any MCP client, and sign in the first time you use it (a Free account, no card, is created then; console).

  • Comparables: https://platform.casafari.com/mcp/comparables

In Claude Code:

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

Then ask:

text
Run the portfolio revaluation playbook for Spain every month: call comparables_get_comparables, 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. Comparables (100 times), 25 tokens a call
curl -X POST https://platform.casafari.com/v1/comparables/search \
  -H "Authorization: Bearer $CASAFARI_API_KEY"

Other playbooks

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