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Transaction Fee Observations — IQR Outlier Flags + Secondary-Measure Weighted Mean
x402
Transaction Fee Observations — IQR Outlier Flags + Secondary-Measure Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-25).
Analyzes transaction fee observation rows to flag IQR-based outliers and compute a secondary-measure weighted mean, delivering two statistical reports from supplied data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transaction fee observations — IQR outlier flags + Secondary-measure weighted mean: IQR outlier flags + Secondary-measure weighted mean for supplied transaction fee observations records (fee_units, transaction_count). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.
Output
Two analytical reports derived from the supplied rows: (1) per-row IQR outlier flags indicating which fee observations fall outside the interquartile range, and (2) a secondary-measure weighted mean computed using the specified field (fee_units or transaction_count), all processed locally without external data lookup.
Example use cases
Outlier detection in daily fee data
“Here are my daily transaction fee records across two instrument groups for October — can you flag any IQR outliers in the fee_units field and also give me the transaction-count-weighted mean?”
Fee anomaly review across instrument groups
“I've got 150 rows of fee observations across multiple instrument groups and I want to know which fee_units values are statistical outliers using IQR, plus what the weighted mean fee is using transaction_count as the weight.”
Weighted mean fee computation for reporting
“Can you take these transaction fee records and compute the weighted mean of transaction_count using fee_units as the secondary measure, and also flag any outliers by IQR? I need two reports from the same dataset.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-03-177?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of transaction fee observations and need both IQR-based outlier detection and a weighted mean computation in a single call. It is ideal for offline/batch analytical workflows where no live market data or external lookup is needed, and the computation is purely on user-supplied data. It is cost-effective at $0.01 USDC for two reports simultaneously.
Side effects
- Fewer than 1 row supplied — minimum row count not met
- More than 200 rows supplied — exceeds maximum batch size
- Missing required fields (row_id, instrument_group, date, fee_units, transaction_count) — validation error
- Date format not matching YYYY-MM-DD pattern — schema rejection
- Numeric values outside allowed range (-1e12 to 1e12) — validation failure
- All values null for selected field — unable to compute IQR or weighted mean
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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