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Transaction Fee Observations — IQR Outlier Flags + Two-Measure Correlation
x402
Transaction Fee Observations — IQR Outlier Flags + Two-Measure Correlation 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).
Runs IQR-based outlier detection and two-measure correlation analysis on supplied transaction fee observation records (fee_units and transaction_count).
Price / call$0.01
Success—
StatusUnknown
How this service works
Transaction fee observations — IQR outlier flags + Two-measure correlation: IQR outlier flags + Two-measure correlation 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 independent analytical reports: (1) IQR outlier flags identifying which rows have fee_units (or transaction_count) values that fall outside the interquartile range bounds, and (2) a two-measure correlation report quantifying the statistical relationship between fee_units and transaction_count across the supplied rows. Results are derived purely from the submitted data with no external lookups.
Example use cases
Flag fee spikes in daily settlement data
“I have daily settlement fee records across two instrument groups for the past quarter — can you flag any fee_units values that look like IQR outliers and also tell me whether fee size correlates with transaction count?”
Audit fee data quality before reporting
“Before I submit our monthly fee report, can you run an IQR outlier check on fee_units and a correlation check between fee_units and transaction_count across these 150 rows to catch anything suspicious?”
Analyze fee behavior across instrument groups
“Here are transaction fee observations grouped by instrument type over several weeks — please identify which rows have outlier fee_units values using IQR and show me whether higher transaction counts tend to correlate with higher fees.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-03-176?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of transaction fee observation records and need both IQR-based outlier detection and two-measure correlation analysis in a single low-cost call ($0.01 USDC). It is ideal for lightweight, self-contained statistical QA on fee data where no external data sources, predictions, or live lookups are required — all computation is local and deterministic. Prefer this over general-purpose analytics platforms when you want a finance-specific, pay-per-use micro-analytical service bundling two reports in one request.
Side effects
- Input array is empty or missing required fields (row_id, date, fee_units, transaction_count, instrument_group) — validation error returned
- More than 200 rows submitted — request rejected due to row limit
- All values in the measured field are null — IQR and correlation cannot be computed
- Insufficient variance in data (e.g. all identical values) — correlation undefined or degenerate result
- Malformed date strings not matching YYYY-MM-DD pattern — schema validation failure
- Payment of 0.01 USDC not completed — request blocked
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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