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ProspectPulse Mineral Prospectivity Assessment
x402
ProspectPulse Mineral Prospectivity Assessment is a paid API for AI agents from prospectpulse.theaslangroupllc.com, paid per call via x402, $0.25/call, status unknown (last checked 2026-09-13).
Ranks the mineral prospectivity of any region by combining USGS MRDS deposit inventory, geochemical anomaly data, and AI geological synthesis to identify what mineral commodities a region is likely to host.
Price / call$0.25
Success—
StatusUnknown
How this service works
Mineral prospectivity assessment for any region, for exploration and geology agents. Combines USGS MRDS deposit inventory, geochemical anomaly data, and AI geological synthesis to rank what a region is likely to host.
Output
Returns a ranked list of mineral commodities the region is likely to host, supported by USGS MRDS deposit inventory records, geochemical anomaly data, and an AI-generated geological synthesis that explains the prospectivity reasoning and exploration implications.
Example use cases
Prioritize mineral targets for exploration strategy
“We're planning an exploration campaign in the Atacama Desert. Can you rank what minerals this region is most prospective for based on USGS data and geochemistry? I need to know which commodities we should focus on first.”
Assess new concession prospectivity quickly
“We just acquired exploration rights in a region of Peru we're not familiar with. Give me a ranked mineral prospectivity assessment combining USGS deposit records and geochemical anomalies so we can decide where to drill.”
Evaluate copper and lithium potential regionally
“I'm evaluating exploration potential across the Andes belt for copper and lithium deposits. Can you synthesize the USGS MRDS data and geochemistry to tell me which sub-regions rank highest for these commodities?”
Technical details
Endpoint
GEThttps://prospectpulse.theaslangroupllc.com/api/prospect/mineral-potentialWhen to prefer
Use this endpoint when you need a rapid, multi-source mineral prospectivity assessment for a specific region that combines structured USGS data with AI geological reasoning. Prefer this over raw USGS MRDS queries when you want a synthesized, ranked output rather than raw records. Prefer over the geochemical endpoint when you want a holistic prospectivity view rather than just geochemical data interpretation.
Side effects
- Region not recognized or too vague — returns error asking for more precise geographic input
- No USGS MRDS records found for target area — returns low-confidence assessment with limited data
- Geochemical data unavailable for remote regions — partial result with caveat
- API returns 402 if payment header is missing or insufficient
- Overly large bounding box may result in degraded or generic synthesis
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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