Transaction Fee Observations — Category Frequencies + 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).
Analyzes supplied transaction fee observation records by computing category frequencies and a date-by-category pivot table for a chosen numeric field (fee_units or transaction_count).
Transaction fee observations — Category frequencies + Date by category pivot: Category frequencies + 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.
Two analytical reports derived from the supplied rows: (1) a category frequency table showing how often each instrument_group appears, and (2) a date-by-category pivot table cross-tabulating the chosen numeric field (fee_units or transaction_count) across dates and instrument groups. Up to 200 input rows supported. No external data sources are used.
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-03-110?utm_source=zero.xyzChoose this endpoint when you have up to 200 transaction fee observation records with instrument groups and dates and need both a category frequency breakdown and a date-by-category pivot table in a single low-cost call ($0.01 USDC). It is best suited for offline/batch analytical summarization of pre-collected fee data rather than live lookups or predictions.
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
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