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ProspectPulse Mineral Potential Assessment
x402
ProspectPulse Mineral Potential Assessment is a paid API for AI agents from prospectpulse-pi.vercel.app, paid per call via x402, $0.25/call, status unknown (last checked 2026-09-15).
Ranks the mineral prospectivity of any geographic region by combining USGS MRDS deposit data, geochemical anomaly datasets, and AI geological synthesis
Price / call$0.25
Success—
StatusUnknown
How this service works
Global mineral and resource exploration intelligence. USGS MRDS deposit inventory, geochemical anomaly analysis, satellite scene availability, jurisdiction entry-risk,…
Output
Returns a ranked mineral prospectivity assessment for the queried region, including USGS MRDS deposit inventory records, geochemical anomaly data highlights, a ranked list of likely hosted commodities or deposit types, and an AI-generated geological synthesis explaining the region's endowment potential for exploration decision-making.
Example use cases
Example prompt
“What minerals is the Pilbara region of Western Australia most likely to host? Give me a prospectivity ranking combining USGS MRDS deposit records and geochemical anomaly data with a geological synthesis.”
Technical details
Endpoint
GEThttps://prospectpulse-pi.vercel.app/api/prospect/mineral-potentialWhen to prefer
Use this endpoint when an exploration or geology agent needs a comprehensive, multi-source mineral prospectivity assessment for a specific region — combining USGS MRDS deposit records, geochemical anomaly data, and AI geological interpretation in a single ranked output. Prefer this over raw MRDS queries or standalone geochemical lookups when you need a synthesized, decision-ready view of what a region is likely to host.
Side effects
- Region too vague or ambiguous — endpoint may fail to resolve geographic extent
- No MRDS records or geochemical data available for very remote or data-sparse regions
- Payment of $0.25 USDC not completed — 402 response returned
- Invalid or unparseable geographic input returns 400 error
- AI synthesis may be limited in quality for regions with sparse underlying data
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"target_area": "Carlin Trend, Nevada, USA",
"analyst_summary": "One of the world's premier gold districts with proven billion-dollar deposit density...",
"deposit_systems": [
{
"type": "Carlin-type gold",
"evidence": "60+ deposits, 50Moz+ gold endowment",
"commodities": [
"Au",
"As",
"Hg"
]
}
],
"geological_setting": "Paleozoic carbonate host rocks in Roberts Mountains allochthon, overlain by clastic rocks",
"prospectivity_tier": "HIGHLY PROSPECTIVE",
"prospectivity_score": 88
}
}Tags
x402
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