EMBEDEARTH / SEARCH API
Data Center Search API
Find data centers and analyze proximity to substations, transmission, industrial land, water, roads, and metro demand.
Data Centers Search API Built for Geographic Queries
Use EDK as a data center API for radius search, bounding boxes, polygons, viewports, and named places. Return coordinates, geometry, metadata, and map-ready results in one response. Developers can search data centers across a neighborhood or an entire region without maintaining a separate geospatial index.
Screen Data Centers Locations with Site-Selection Criteria
Evaluate candidate sites against substations, transmission, water infrastructure, industrial land. Use hard exclusions, distance thresholds, weighted proximity, route access, and custom polygons to build a data center site selection model that matches the project. EDK returns the candidate geometry and the factors behind the score.
Connect Data Centers to the Infrastructure They Depend On
For data centers, location is inseparable from substations, transmission, water infrastructure. Use EDK to measure those relationships directly: nearest asset, distance to network, overlap with service areas, or count of supporting infrastructure nearby. That makes data center API useful for engineering and infrastructure intelligence, not just mapping.
Compute Power, Water and Population Proximity
Use EDK Compute for power, water and population proximity. Run nearest, distance, count-within, buffer, containment, intersection, density, or spatial joins directly against data centers. Return a score, geometry, ranked list, or map layer without copying the dataset into a separate GIS database first.
Build a Data Centers Map from Live Geographic Queries
Render data centers as points, lines, polygons, clusters, or density layers depending on the source geometry. The map can re-query the visible bounds as users pan and zoom, then fetch nearby substations or transmission on selection. Search state and map state stay connected.
Screen Risk and Constraints Around Data Centers
Evaluate data center sites against flood exposure, nearby population, grid constraints, water availability, and infrastructure concentration. Combine data center GIS data with hazard and utility layers to flag candidates that look attractive on connectivity but carry physical-world risk.
From Energy to Infrastructure Investing for Data Centers
Energy, utilities, engineering, and infrastructure investors can use data center API to study network position, access, constraints, and nearby assets. EDK stays programmable, so each team can apply its own scoring model or private project data rather than adopting a fixed industry dashboard.
Give AI Agents Real Data Centers Tools
Let an AI agent execute data center site research with real spatial tools: find facilities, measure distance to substations and transmission, compare highway access, screen hazards, and return a ranked map. MCP keeps the language interface flexible while EDK handles deterministic geographic search and compute.
ONE GEOGRAPHIC WORKFLOW
Search, map, route, and compute with EDK.
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