com.deepmapai/earth-grounding

DeepMap AI -- Earth Grounding

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

Endpointhttps://deepmapai.com/mcp (streamable-http)
Registry version0.3.0
Now11 tools · grade A (98) · pin ts_f7c3252cf5d4b47ca40d0d943130de83 · protocol 2026-07-28
First / last listed2026-11-01 02:03 UTC / 2026-11-01 02:03 UTC
Grade over time2026-11-01: A (98), 11 tools

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Timeline

First listing · 2026-11-01 02:03 UTC
11 tools, grade A (98)

Tools: water_availability seismic_hazard ground_stability resource_indication space_weather_grid_risk verify ground_truth capabilities check_hypothesis list_nulls run_controlled_test

Current tools (11)

water_availabilityWater availability at a point. Free tier = public GRACE groundwater trend.
params: lat*, lon*, depth_m, authenticated
seismic_hazardSeismic hazard via the public, outcome-excluded prediction ledger (no platform-wide accuracy figure).
params: lat*, lon*, region, horizon_days
ground_stabilitySubsidence / void / karst / fault risk from verified observations.
params: lat*, lon*, radius_km
resource_indicationGeothermal / mineral / water indication (gated, honest null).
params: lat*, lon*, type
space_weather_grid_riskGIC / space-weather exposure for infrastructure at a point.
params: lat*, lon*
verifyVerify a claim / the ledger hash chain against the Bitcoin-anchored record.
params: claim_hash
ground_truthThe bundled five-question answer (water / stability / hazard / resource / provability) + one provenance record.
params: lat*, lon*
capabilitiesWhat DeepMap AI can answer now + coverage counts (public aggregate; tracks the library, leaks no proprietary data).
params: none
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.
params: claim*, domain, limit
list_nullsList 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.
params: domain, limit
run_controlled_testThe 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 it cannot fake. Free tier runs a synthetic demo; the live lab is the authenticated tier. v1 recipe:
params: observable, lat, lon, carrier, window_days, hypothesis

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