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Transaction Fee Observations — Numeric Interval Filter + IQR Outlier Flags
x402
Transaction Fee Observations — Numeric Interval Filter + 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 2026-10-26).
Applies a numeric interval filter and IQR-based outlier detection to user-supplied transaction fee observation records, returning up to 2 analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transaction fee observations — Numeric interval filter + IQR outlier flags: Numeric interval filter + IQR outlier flags 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
Returns up to 2 analytical reports: one showing rows that pass the specified numeric interval filter on the chosen field, and one flagging IQR-based outliers in that field — all computed locally against the supplied data without external lookups.
Example use cases
Fee spike detection for trading desk
“I've got daily fee_units and transaction_count records for two instrument groups over the past quarter — can you filter fee_units between 5 and 2000 and flag any IQR outliers so I can spot abnormal fee days?”
Transaction count anomaly audit
“Run an IQR outlier analysis on my transaction_count field for these 80 rows, filtering to counts between 1 and 10000, so I can identify which dates had statistically unusual trading volumes.”
Cross-group fee range validation
“I need to validate my fee observation data across group-a and group-b instrument groups — filter fee_units from 0 to 750 and flag outliers using IQR so I know which rows to investigate before submitting the report.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-03-130?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of transaction fee observations and need both a numeric range filter and IQR outlier flagging applied to fee_units or transaction_count in a single paid call — especially useful for lightweight, offline-style statistical QA on financial fee data without needing a full analytics platform.
Side effects
- Fewer than 1 row supplied returns an error
- More than 200 rows submitted exceeds the row limit
- Invalid date format (non-YYYY-MM-DD) causes validation failure
- Field value outside ±1,000,000,000,000 bounds rejected
- Missing required fields (row_id, fee_units, transaction_count, instrument_group, date) cause schema validation errors
- Non-numeric values in fee_units or transaction_count rejected if not null
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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