DA

DeepMap AI -- Earth Grounding

com.deepmapai/earth-grounding

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

Yes, your AI can use this right now.Answered a live MCP handshake in 494 ms with no sign-in needed and exposes 11 tools.

Connect it

Settings → Connectors → Add custom connector
URL: https://deepmapai.com/mcp

11 tools, verified live

Pulled straight from the server with tools/list on 2026-10-18.
water_availabilityread-only

Replenishable-water availability at a point. Free tier = public GRACE groundwater trend; authenticated tier adds a derived (non-locating) replenishable-atlas indication.

seismic_hazardread-only

Seismic hazard via the public, outcome-excluded prediction ledger (no platform-wide accuracy figure).

ground_stabilityread-only

Subsidence / void / karst / fault risk from verified observations.

resource_indicationread-only

Geothermal / mineral / gas / water indication (gated, honest null).

space_weather_grid_riskread-only

GIC / space-weather exposure for infrastructure at a point.

verifyread-only

Verify a claim / the ledger hash chain against the Bitcoin-anchored record.

ground_truthread-only

The bundled five-question answer (water / stability / hazard / resource / provability) + one provenance record.

capabilitiesread-only

What DeepMap can answer now + coverage counts (public aggregate; tracks the library, leaks no proprietary data).

check_hypothesisread-only

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_nullsread-only

List 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_testread-only

The 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 cannot fake. Free tier runs a synthetic demo; the live lab is the authenticated tier. v1 recipe: pe

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