Location Intelligence API

An address is more than coordinates.

City Context turns a location into structured, measurable information about its surroundings.

Growing every day

29,479
Buildings indexed
5,226
Streets mapped
120
Places indexed
96
Transport stops

Live API demo

Coordinates tell you where something is.
Context tells you what is there.

Change the search radius and watch City Context analyze the same location in real time.

Search radius
Input
50.3875, 8.0500
Radius: 500 m
City Context
Analyzing location…
GET /v1/location/analyze?lat=50.3875&lon=8.05&radius=500

Use Cases

One API.
Many ways to use context.

City Context turns geographic surroundings into structured data that can be embedded into products, workflows and decisions.

01

Real Estate

Add measurable location context to property listings: transport, services, amenities and real walking-distance context around an address.

02

Travel & Hospitality

Enrich hotels, apartments and destinations with structured information about what actually exists nearby.

03

Location Intelligence

Compare locations using consistent, machine-readable data instead of vague descriptions or manually collected points of interest.

04

AI & Applications

Give assistants, recommendation systems and local applications structured context they can reason about and present to users.

How it works

From coordinates
to usable context.

One request turns a geographic point into structured information about the surrounding area.

01

Send a location

Provide coordinates and a search radius. City Context uses the location as the starting point for the analysis.

50.3875, 8.0500 · 500 m
02

Analyze the surroundings

The API evaluates nearby transport stops, amenities and other indexed geographic entities within the requested area.

Transport · Services · Places
03

Receive structured data

Get consistent, machine-readable JSON that can be displayed, compared, stored or used by another application.

JSON response
GET /v1/location/analyze
    ?lat=50.3875
    &lon=8.05
    &radius=500

→ transport_stops[]
→ amenities[]
→ meta

Data Coverage

More than points
on a map.

City Context combines multiple geographic layers around the same location, turning isolated objects into usable local context.

Context layer

Buildings

Indexed buildings tied to streets and addresses, forming the physical layer of a location.

Addresses · coordinates · building data
Context layer

Transport

Nearby public transport stops with measurable distance from the analyzed location.

Stops · distance · accessibility data
Context layer

Amenities

Structured nearby places grouped by category and type instead of a flat list of POIs.

Healthcare · retail · education · services
Context layer

Distances

Every result is spatially related to the requested location, allowing consistent proximity analysis.

Meters · radius · nearest objects
Context layer

Addresses

Streets, postal codes and buildings provide an address layer that can connect local context to real places.

Street · number · postal code
Context layer

Growing layers

City Context is designed as an extensible geographic graph. New datasets can become additional context layers over time.

Routes · urban features · more

The value is not any single dataset. It is the ability to connect different layers around the same geographic point.