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Mining Fleet Spare Coverage — Sequential Input-Change Attribution
x402
Mining Fleet Spare Coverage — Sequential Input-Change Attribution 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 sequential (waterfall) attribution report showing how changes to spare_units and operating_units individually shift the mining fleet spare coverage ratio.
Price / call$0.01
Success—
StatusUnknown
How this service works
Mining fleet spare coverage — Sequential input-change attribution: Sequential input-change attribution 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 sequential input-change attribution report.
Output
A bounded sequential (waterfall) input-change attribution report showing the spare coverage ratio before and after, and the isolated contribution of each input change (spare_units delta, then operating_units delta) to the total coverage ratio shift, expressed using supplied assumptions and disclosed formula/units with no live pricing.
Example use cases
Fleet expansion spare ratio impact
“My mining fleet grew from 100 to 110 operating units and I added half a spare unit — can you run a waterfall attribution to show me how much the extra operating units vs the extra spare unit each contributed to changing my spare coverage ratio?”
Spare parts procurement justification
“I need to justify adding 2 spare units to a 200-unit mining fleet. Right now I have 8 spares for 200 units, and I want to see the sequential attribution of how the spare coverage changes if I bring it to 10 spares — show the step-by-step contribution.”
Before-after operational review
“Our operations review shows fleet went from 50 operating units with 3 spares to 55 units with 3 spares. Can you do a sequential input-change attribution to break down exactly what drove the spare coverage ratio shift?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-mining-spares-coverage-waterfall?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to understand not just the net change in fleet spare coverage ratio but the isolated, ordered contribution of each input variable — i.e. when stakeholders need a sequential (waterfall) decomposition to see whether spare additions or fleet size growth is the dominant driver of coverage change. Prefer alternatives (single calculation or batch) when you only need the final ratio, not the attribution breakdown.
Side effects
- operating_units of 0 rejected due to exclusiveMinimum constraint — coverage ratio undefined for zero operating units
- missing required before or after sub-fields returns validation error
- non-numeric values for spare_units or operating_units cause schema rejection
- values exceeding maximum (1e16) are out of bounds
- payment of 0.01 USDC not confirmed — request blocked by x402 payment gate
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| after | object | |
| before | object |
Tags
x402
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