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Mining Fleet Spare Coverage — Weighted Result Mean
x402
Mining Fleet Spare Coverage — Weighted Result Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).
Computes a weighted mean of spare-unit coverage ratios across multiple mining fleet scenarios using user-supplied spare and operating unit counts with custom weights.
Price / call$0.01
Success—
StatusUnknown
How this service works
Mining fleet spare coverage — Weighted result mean: Weighted result mean for Mining fleet spare coverage. Supplied mining assumptions only; formula and units disclosed. No live prices, mining or guaranteed return. Specialised preset in a shared 50-profile, 20-operation engine. 0.01 USDC includes one bounded weighted result mean report.
Output
A bounded weighted result mean report containing the computed weighted average of the spare-unit-to-operating-unit coverage ratios across all supplied rows, weighted by the provided weight values. The report is scoped to user-supplied mining assumptions; no live prices or guaranteed returns are included.
Example use cases
Multi-site fleet spare ratio summary
“I manage four open-pit mining sites and need a single weighted spare coverage figure. Site 1 has 6 spare and 80 operating units with weight 1, Site 2 has 10 spare and 200 operating units with weight 3, Site 3 has 4 spare and 60 operating units with weight 1, and Site 4 has 12 spare and 250 operating units with weight 2. Give me the weighted mean spare coverage across all sites.”
Fleet maintenance planning benchmark
“We're benchmarking our two mining fleets for a maintenance review. Fleet Alpha runs 5 spare units against 100 operating units, weight 2. Fleet Beta runs 5.5 spare units against 110 operating units, weight 1. What's the weighted mean spare coverage ratio I can present to the planning team?”
Spare coverage sensitivity comparison
“I want to compare two different spare allocation scenarios for our mining operation. Scenario 1: 3 spare units, 90 operating, weight 1. Scenario 2: 7 spare units, 90 operating, weight 2. Can you calculate the weighted result mean for spare coverage across those two scenarios?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-mining-spares-coverage-weighted-mean?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a single weighted aggregate metric summarising spare-unit coverage ratios across multiple mining fleet configurations or sites, especially when different sites have different importance levels expressed as weights. Prefer this over a simple mean when site-level weighting is meaningful (e.g. larger or higher-priority sites should count more). Not suitable for real-time price data, live mining telemetry, or financial return modelling.
Side effects
- Fewer than 2 rows or weights provided — minimum of 2 required
- operating_units value of 0 causes division error due to exclusiveMinimum constraint
- Row count and weight array length mismatch
- Values exceeding maximum bounds (1e16) rejected
- Non-numeric or missing required fields cause validation failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| weights | array |
Tags
x402
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