Commercial rent benchmark

What premises ask in three candidate towns.

You get: Benchmark table. It uses Claro AI, takes 75 tokens a run (€3.00 at €0.04 a token) and runs per project. For: Retail or commercial expansion, Investor or fund.

Status: runs today.

#What it does

One run: 75 tokens, €3.00. 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

Spain. Ask for another country and the plan names what is missing.

#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).

• Claro AI: https://platform.casafari.com/mcp/claro

In Claude Code:

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

Then ask:

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.

# 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"

#Other playbooks

• Check the AI's shortlist: Paste five links, get each home's evidence side by side.
• Price a new-build scheme: Set the price of each home and the mix from what sells, not what is asked.
• Commercial plots in Germany: Find commercial plots that fit a brief.
• Below-market deal feed: Homes asking well under our market value, with the evidence.
• All playbooks and the calculator