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Mining Availability Fraction — Distribution Histogram
x402
Mining Availability Fraction — Distribution Histogram is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-16).
Computes a bounded distribution histogram of mining availability fractions from supplied running-hours and scheduled-hours row data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Mining availability fraction — Distribution histogram: Distribution histogram 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 distribution histogram report.
Output
A bounded distribution histogram report showing how mining availability fractions (running_hours / scheduled_hours) are spread across the requested number of bins, including bin ranges and frequencies, computed from the supplied row data.
Example use cases
Mining fleet uptime spread analysis
“I have 10 mining rigs with different running and scheduled hours each week. Can you compute a histogram of their availability fractions across 8 bins so I can see how spread out the uptime is?”
Identifying underperforming mining periods
“Here are 20 rows of running hours vs scheduled hours for my mining operation over the past month — bin the availability fractions into 10 buckets so I can spot which ranges have the most downtime concentration.”
Comparing availability distribution before and after maintenance
“I want to see a 5-bin distribution histogram of mining availability fractions for these 15 data points from before our maintenance window: [list of running_hours/scheduled_hours pairs]. I'm trying to see how availability was distributed.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-mining-uptime-histogram?utm_source=zero.xyzWhen to prefer
Use this endpoint when you have raw mining operational data (running hours and scheduled hours per period) and need a statistical distribution histogram of availability fractions — especially when you want to understand the spread, concentration, or shape of uptime across multiple mining periods. Prefer this over single-value or mean endpoints when distributional insight (not just a summary statistic) is the goal.
Side effects
- Fewer than 2 rows supplied — minimum of 2 rows required
- scheduled_hours of 0 passed — exclusiveMinimum enforces >0 to avoid division by zero
- More than 200 rows provided — exceeds maxItems limit
- bins value outside 1–30 range — validation error returned
- running_hours exceeds maximum allowed value — schema validation failure
- Malformed row objects missing required fields — schema rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array |
Tags
x402
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