List all geospatial datasets available for querying. Returns pre-loaded public datasets (US states, counties, ZIP codes, etc.) and your custom uploaded datasets. Each dataset has an id (UUID) — always use the id when calling other tools.

Check which feature in a polygon dataset contains a given coordinate (point-in-polygon query). Returns the properties of all matching features, or indicates no match. Requires latitude, longitude, and a dataset id (UUID) from list_datasets. Call list_datasets first to get the id. This is NOT a geocoder — it requires numeric coordinates, not addresses or place names.

Find the nearest counties, districts, ZIP codes, or other features to a coordinate. Use this for proximity queries, finding what's nearby, or ranking features by distance. Returns features sorted by distance (meters and miles), measured to feature boundary. Also works as a reverse lookup — returns the containing feature (distance=0) plus neighbors. Requires latitude, longitude, and a dataset id (UUID) from list_datasets.

Calculate the exact geodesic distance between two points on Earth's surface. Uses the WGS84 ellipsoid model for high accuracy. No dataset needed. Returns distance in both meters and miles.

Enrich a set of coordinates with attributes from a polygon dataset. For each point, returns the properties of the polygon it falls within. Like running check_location on multiple points at once, but more efficient. Requires an array of coordinate objects and a dataset id (UUID) from list_datasets. Call list_datasets first to get the id. Points need numeric coordinates, not addresses.

Get location attributes (county, flood zone, school district, etc.) for a coordinate. Queries all available datasets in one call and returns what matched. No dataset id needed — this is the simplest way to find out what's at a location. Optional radius expands the search area (meters). This is NOT a geocoder — it requires numeric coordinates, not addresses or place names.