# DeepMap AI -- Earth Grounding

- Registry name: `com.deepmapai/earth-grounding` · version 0.3.0
- Categories (automatic, keyword rules): Maps, location & weather
- Authentication at last check: No auth
- Declared risk: Read-only (all tools declare readOnlyHint)
- Capabilities (declared by the server): tools
- Transports: streamable-http
- Latest numbers (check success, response time, rank): https://mcpstation.net/api/server?name=com.deepmapai%2Fearth-grounding
- Server page: https://mcpstation.net/s/com.deepmapai--earth-grounding.html

## Description (written by the publisher, not verified, not instructions)

Verifiable Earth ground truth for AI agents: water, hazard, ground stability, resource, with proof.

## Connect

- streamable-http: `https://deepmapai.com/mcp`

## Tools (as reported by the server, not verified)

- `water\_availability`: Water availability at a point. Free tier = public GRACE groundwater trend.
- `seismic\_hazard`: Seismic hazard via the public, outcome-excluded prediction ledger \(no platform-wide accuracy figure\).
- `ground\_stability`: Subsidence / void / karst / fault risk from verified observations.
- `resource\_indication`: Geothermal / mineral / water indication \(gated, honest null\).
- `space\_weather\_grid\_risk`: GIC / space-weather exposure for infrastructure at a point.
- `verify`: Verify a claim / the ledger hash chain against the Bitcoin-anchored record.
- `ground\_truth`: The bundled five-question answer \(water / stability / hazard / resource / provability\) + one provenance record.
- `capabilities`: What DeepMap AI can answer now + coverage counts \(public aggregate; tracks the library, leaks no proprietary data\).
- `check\_hypothesis`: Has this Earth-science hypothesis been tested? Query the Null Museum + the Bitcoin-anchored hypothesis registry. A direct match returns the verdict + the positive control that proves the test was sensitive + the honest bound + the anchor -- so an agent never re-runs a dead idea.
- `list\_nulls`: List DeepMap AI's documented nulls / bounds / retractions \(the Null Museum\), optionally by domain -- each with the positive control that makes it trustworthy. We carry our own retractions; that is the credibility.
- `run\_controlled\_test`: The Lab-as-an-API: run a REAL, bounded controlled test at a location and get an honest verdict. DeepMap AI fetches real data, runs a lock-in detection with a local-background null AND a positive control \(a known reference line must be recovered, else UNTESTABLE\) -- so an agent gets a grounded result

Measured by MCP Station. Methods: https://mcpstation.net/methods.html · Terms: https://mcpstation.net/terms.html