Rental yield screen

Rank areas by gross yield and price momentum.

You get: Ranked sheet. It uses Area Insights, takes 125 tokens a run (€5.00 at €0.04 a token) and runs monthly. For: Investor or fund.

Status: runs today.

#What it does

One run: 125 tokens, €5.00. 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

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).

• Area Insights: https://platform.casafari.com/mcp/area-insights

In Claude Code:

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

Then ask:

Run the rental yield screen playbook for Spain every month: call area-insights_get_heatmap, 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. Area Insights (10 times), 10 tokens a call
curl -X POST https://platform.casafari.com/v1/area-insights/rental-yield \
  -H "Authorization: Bearer $CASAFARI_API_KEY"

# 2. Area Insights, 25 tokens a call
curl -X POST https://platform.casafari.com/v1/area-insights/heatmap \
  -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.
• Below-market deal feed: Homes asking well under our market value, with the evidence.
• Market entry brief: Should we enter this city: prices, momentum, liquidity, registered sales.
• All playbooks and the calculator