DeepMap AI -- Earth Grounding

com.deepmapai/earth-grounding · v0.3.0 · agents-and-memory

DeepMap AI -- Earth Grounding is healthy: it completed an MCP handshake in 2285 ms and exposes 11 tools. It scores 57/100.

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

Endpoint: https://deepmapai.com/mcp (streamable-http)

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Score 57/100

health17 / 25
authEase15 / 15
toolQuality15 / 15
maintenance5 / 15
adoption0 / 10
usage0 / 10
security5 / 10

Scoring v0.3, computed 2026-10-14T20:26:03.264Z.

Health history

Checked (UTC)StatusLatencyError
2026-10-14T18:55:46.624ZHealthy2285

Tools (11)

water_availabilityReplenishable-water availability at a point. Free tier = public GRACE groundwater trend; authenticated tier adds a derived (non-locating) replenishable-atlas indication.
seismic_hazardSeismic hazard via the public, outcome-excluded prediction ledger (no platform-wide accuracy figure).
ground_stabilitySubsidence / void / karst / fault risk from verified observations.
resource_indicationGeothermal / mineral / gas / water indication (gated, honest null).
space_weather_grid_riskGIC / space-weather exposure for infrastructure at a point.
verifyVerify a claim / the ledger hash chain against the Bitcoin-anchored record.
ground_truthThe bundled five-question answer (water / stability / hazard / resource / provability) + one provenance record.
capabilitiesWhat DeepMap can answer now + coverage counts (public aggregate; tracks the library, leaks no proprietary data).
check_hypothesisHas 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_nullsList DeepMap'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_testThe Lab-as-an-API: run a REAL, bounded controlled test at a location and get an honest verdict. DeepMap 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 it