Transaction Fee Observations — Two-Measure Correlation + Date by Category Pivot is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-29).
Runs two local analytical reports on uploaded transaction fee data: a Pearson/Spearman-style correlation between fee_units and transaction_count, and a date-by-instrument-group pivot table, for up to 200 rows at $0.01 USDC.
Transaction fee observations — Two-measure correlation + Date by category pivot: Two-measure correlation + Date by category pivot 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.
Returns two analytical reports: (1) a two-measure correlation analysis showing the statistical relationship between fee_units and transaction_count across the supplied rows, and (2) a date-by-category pivot table breaking down the selected measure (fee_units or transaction_count) by date and instrument_group. Both reports are computed locally on the supplied data without external lookups.
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-03-182?utm_source=zero.xyzChoose this endpoint when you have up to 200 rows of transaction fee observations with both fee_units and transaction_count and need two analyses in one call: a statistical correlation between those two measures AND a date-by-category pivot, all for a flat $0.01 USDC. It is ideal when data is already structured client-side and no live market data, predictions, or external lookups are needed — pure local computation on supplied rows.
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
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