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Mining Availability Fraction — Sequential Input-Change Attribution
x402
Mining Availability Fraction — 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).
Runs a sequential waterfall attribution analysis showing how each input change (running hours, scheduled hours) contributes to the delta in mining availability fraction.
Price / call$0.01
Success—
StatusUnknown
How this service works
Mining availability fraction — Sequential input-change attribution: Sequential input-change attribution for Mining availability fraction. 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 input-change attribution report for mining availability fraction, showing the individual contribution of each input change (running hours, scheduled hours) to the total delta in availability fraction, based on the supplied before and after values. No live prices or guaranteed returns are included.
Example use cases
Diagnosing an availability fraction drop
“My mine's availability fraction just fell and I need to know why — before the shift we had 20 running hours out of 24 scheduled, and after we had 18 running hours out of 22 scheduled. Can you do a sequential attribution waterfall to show which input change was responsible and by how much?”
Justifying a schedule extension impact
“We extended our scheduled hours from 24 to 30 and also increased running hours from 22 to 27. What does the sequential input-change attribution say about how much of the availability fraction change came from the schedule extension versus the extra running hours?”
Periodic availability performance review
“I want a breakdown of what drove our mining availability fraction improvement this quarter — before: 18 running hours out of 20 scheduled; after: 21 running hours out of 22 scheduled. Give me the waterfall attribution showing each input's contribution.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-mining-uptime-waterfall?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to understand the step-by-step contribution of individual input changes to a shift in mining availability fraction — specifically the decomposition into 'how much did running hours change contribute vs scheduled hours change.' It is purpose-built for this single metric's waterfall attribution and is not a general-purpose mining profitability or live-price tool.
Side effects
- scheduled_hours must be greater than 0 (exclusiveMinimum); passing 0 will cause a validation error
- running_hours exceeding scheduled_hours may produce an availability fraction above 1.0 — caller should validate inputs
- missing required fields (running_hours or scheduled_hours in either before or after object) will result in a schema validation error
- payment failure or insufficient USDC balance will prevent the report from being generated
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| after | object | |
| before | object |
Tags
x402
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