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Mining Operating Contribution Margin — IQR Outlier Flags
x402
Mining Operating Contribution Margin — IQR Outlier Flags 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).
Detects IQR-based statistical outliers in mining operating contribution margin rates across a set of revenue/contribution data rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Mining operating contribution margin — IQR outlier flags: IQR outlier flags for Mining operating contribution margin. 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 iqr outlier flags report.
Output
Returns a bounded IQR outlier flags report identifying which rows in the input dataset have contribution margin rates (contribution_usd / revenue_usd) that fall outside the interquartile range, with flags indicating statistical outlier status per row.
Example use cases
Mining portfolio margin anomaly review
“I have 15 mining sites and want to know which ones have abnormal contribution margins — here are the revenue and contribution amounts for each. Flag any IQR outliers for me.”
Pre-reporting data quality check
“Before I submit my quarterly mining financials, can you run an IQR outlier check on these contribution margin figures so I can spot any suspicious entries that need review?”
Identifying underperforming operations
“I'm looking at 20 mining operations and some might have unusually low or high contribution margins. Run the IQR outlier flags on this revenue and contribution data and tell me which rows are anomalous.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-mining-cash-margin-rate-outliers?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, low-cost ($0.01 USDC) statistical outlier check specifically on mining operating contribution margin rates using IQR methodology, with up to 200 rows, and you have revenue and contribution figures in USD. Best for mining finance analytics pipelines, pre-reporting data validation, or portfolio anomaly detection where live price feeds are not needed.
Side effects
- Fewer than 2 rows provided — minimum 2 rows required
- revenue_usd set to zero or negative — exclusiveMinimum constraint violated
- More than 200 rows submitted — maxItems limit exceeded
- Missing required fields contribution_usd or revenue_usd in any row
- Malformed JSON body returns 400-level error
- Payment not included or insufficient — x402 payment required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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