EMBEDEARTH / SEARCH API
Gym Search API
Search gyms by type, neighborhood, office access, transit, parking, and nearby residential demand.
SEARCH WORKFLOW
From intent to results that remain useful in maps, routes, and spatial analysis.
Query Gyms as Spatial Data, Not Just Text
EDK turns gyms into queryable geographic features. Use a gym API to find candidates by location and intent, not only exact names. Search across regions, radii, polygons, or the current viewport and receive data ready for GeoJSON, maps, ranking, or spatial analysis.
A Developer Stack for Gyms Search, Maps, and Analysis
EDK lets developers use gyms as more than one endpoint. Search produces structured geography, maps and tiles render it, routing measures access, and Compute handles spatial relationships. The API, SDK, CLI, and MCP expose those capabilities for different parts of the stack.
What You Can Build with Gyms Data
Use nearby gym search for store locators, local discovery, recommendation systems, travel assistants, marketplace search, and competitive mapping. Add gyms on a commute when convenience matters, or use competition inside walk- and drive-time catchments for market analysis. The same gyms layer can serve both a consumer experience and a location-intelligence workflow.
Explore Gyms with Viewport-Based Map Search
Use gym map API to build an interactive explorer rather than a static overlay. Viewport bounds drive search, zoom controls detail, and selected gyms can open related geography such as residential areas or offices. The same query layer can support a public map or internal dashboard.
Power “Gyms Near Me” and Nearby Search
Use nearby gym search for location-aware discovery around a user, address, stop, or destination. Rank gyms by real accessibility and nearby context instead of only straight-line distance. Nearby search can feed a locator, mobile experience, marketplace, or agent response.
Filter Gyms by the Attributes Users Actually Care About
Add domain filters to gym locator API results instead of treating every gym as interchangeable. Combine feature metadata with residential areas, offices, and local geography to produce more useful ranking and filtering for real product experiences.
Search Gyms by Travel Time, Detour, or Route
Turn the road, walking, or cycling network into a filter for gyms. Search by drive time, walking time, detour threshold, or route corridor instead of a circular radius. A route-aware gym API can answer which locations are practically reachable, not merely geographically close.
Give AI Agents Real Gyms Tools
Expose gym API, routing, map, and compute operations through MCP so an AI agent can perform geographic work instead of approximating it in language. The model can find gyms, compare them with residential areas and offices, calculate proximity or access, and return structured results.
ONE GEOGRAPHIC WORKFLOW
Search, map, route, and compute with EDK.
RELATED SEARCH APIS