# `agentgraph_agent_profile`

> **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).

Agent in full. Product: [AgentGraph AI](/docs/agentgraph). Annotations: Read-only.

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

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

## Description

One agent's own figures, quarter by quarter, their agency, career across agencies (where Casafari's directory has it), contacts, and every partner profile they match, benchmarked against their main city (or the area you give). Pass an id from screen_agents, or a name with their agency.

## Parameters

- `id` (string, optional): The id a screen returned (a:... or p:...).
- `name` (string, optional): The agent's name when no id is known.
- `company` (string, optional): Their agency, to tell two people of the same name apart.
- `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}$`.
- `operation` (string, optional): Sales listings (default) or rentals. Values: `sale`, `rent`. default "sale".
- `client_brand` (string, optional): Your own network's name, if you are one. Its offices and agents are not offered as matches from "another network's franchise".

## 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_agent_profile",
    "arguments": {
      "id": "…"
    }
  }
}
```