Real Estate
Add measurable location context to property listings: transport, services, amenities and real walking-distance context around an address.
Location Intelligence API
City Context turns a location into structured, measurable information about its surroundings.
Growing every day
Live API demo
Change the search radius and watch City Context analyze the same location in real time.
Use Cases
City Context turns geographic surroundings into structured data that can be embedded into products, workflows and decisions.
Add measurable location context to property listings: transport, services, amenities and real walking-distance context around an address.
Enrich hotels, apartments and destinations with structured information about what actually exists nearby.
Compare locations using consistent, machine-readable data instead of vague descriptions or manually collected points of interest.
Give assistants, recommendation systems and local applications structured context they can reason about and present to users.
How it works
One request turns a geographic point into structured information about the surrounding area.
Provide coordinates and a search radius. City Context uses the location as the starting point for the analysis.
The API evaluates nearby transport stops, amenities and other indexed geographic entities within the requested area.
Get consistent, machine-readable JSON that can be displayed, compared, stored or used by another application.
GET /v1/location/analyze
?lat=50.3875
&lon=8.05
&radius=500
→ transport_stops[]
→ amenities[]
→ metaData Coverage
City Context combines multiple geographic layers around the same location, turning isolated objects into usable local context.
Indexed buildings tied to streets and addresses, forming the physical layer of a location.
Nearby public transport stops with measurable distance from the analyzed location.
Structured nearby places grouped by category and type instead of a flat list of POIs.
Every result is spatially related to the requested location, allowing consistent proximity analysis.
Streets, postal codes and buildings provide an address layer that can connect local context to real places.
City Context is designed as an extensible geographic graph. New datasets can become additional context layers over time.
The value is not any single dataset. It is the ability to connect different layers around the same geographic point.