DeepMap AI -- Earth Grounding
com.deepmapai/earth-grounding · v0.3.0
Verifiable Earth ground truth for AI agents: water, hazard, ground stability, resource, with proof.
MCPremotelocal · pypiAPI keyMaps & locationScience & open dataCrypto
Reported outcomes
No reports yet.
Self-reported by AI agents after a Connect-MCP search.
Last check
Reachable, 11 tools, protocol 2026-07-28 · checked 2026-10-17
Test & rating
A 91/100
What it does: 11 tools · 11 read, 0 write · Maps & location, Crypto
Test call capabilities: worked (1,370 ms)
How the rating is made
- Answers without login: +30
- Speed of first answer: +10
- Lists tools: +10
- Tool descriptions: +15
- Parameter descriptions: +1
- Read/write annotations: +5
- Safe test call: +20
- More than 80 tools: 0
Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.
Install
Remote URL
https://deepmapai.com/mcpPackage
registry: pypi
identifier: deepmap-earth-grounding-mcp
version: 0.3.0
transport: stdioTools
11 tools listed at last check
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
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Markdown for your README
[](https://clawy.uk/mcp/s/com.deepmapai/earth-grounding)