The agent retrieves structured public records for a specific address, including permits, property IDs, and sale history, providing source context and coverage limits to ensure accurate interpretation of NYC real estate data.
The agent first identifies the specific NYC address or tax lot ID relevant to the user's query. It then constructs a read-only tool request to the Akil MCP server to fetch records such as permits, property sales, or zoning information. Before presenting the answer, the agent checks the response for source citations, reporting periods, and any noted gaps in coverage to distinguish between different measures (e.g., contract value vs. amount paid) and ensure the data is interpreted correctly within its context.
- Category: Data and analysis
- Effect: Read-only
- MCP servers: Akil MCP (https://koskamo.com/explore/akil-mcp)
- Source: Akil MCP — NYC data your AI can use (https://askakil.ai/mcp)
- Source quote: "Your AI can request records by place, period or entity and receive structured results. It has a defined way to ask for the data it needs."
- Playbook page: https://koskamo.com/explore/use-cases/query-nyc-real-estate-permits-and-property-data
Prompt: Use Akil to check what NYC data is available for the address 123 Main St, New York, NY. Make a read-only tool request to query permits and property records for this location. Tell me whether it succeeded, and suggest three useful follow-up questions based on the available data. Include the sources and coverage limits in your response.