# `agentgraph_area_benchmark`

> **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. Every property is one record with its full price and market history. [How the property graph is built](/docs/property-graph).

Area benchmark. Product: [AgentGraph AI](/docs/agentgraph). Annotations: Read-only.

Call it as `agentgraph_area_benchmark` on `https://mcp.casafari.com/` (the backend's own name is `area_benchmark`).

Over REST: no operation in the public API description does this. [MCP and REST compared](/docs/parity#agentgraph-ai).

## Description

What normal looks like for brokers in a German area: percentiles of active homes, exits, days on market, price cuts and momentum, how the market splits between independents, franchises, banks and online brokerages, and the biggest networks there.

## Parameters

- `location` (string | integer, optional): A German city, district or state by name ("München", "Hamburg-Altona", "Bayern") or a location id from find_location. A 5-digit value is read as a postcode.
- `zipcodes` (string[], optional): Limit to these postcodes (with or without a location). at most 200 items; pattern `^\d{5}$`.
- `unit` (string, optional) Values: `agency`, `agent`. default "agency".
- `operation` (string, optional): Sales listings (default) or rentals. Values: `sale`, `rent`. default "sale".

## Example call

Required arguments only, with placeholder values; see the parameters above for real ones.

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "agentgraph_area_benchmark",
    "arguments": {
      "location": "…"
    }
  }
}
```