Transaction Fee Observations — Category Frequencies + Trailing Mean Series 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 supplied transaction fee observation records to produce category frequency distributions and trailing mean time series for fee_units or transaction_count fields.
Transaction fee observations — Category frequencies + Trailing mean series: Category frequencies + Trailing mean series 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 returned together: (1) a category frequency table showing how often each instrument_group value appears in the supplied rows, and (2) a trailing mean time series for the selected field (fee_units or transaction_count) computed with the specified window size — both derived locally from the supplied data with no external lookups.
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-03-103?utm_source=zero.xyzChoose this endpoint when you have transaction fee observation data already in hand and need two quick local statistical reports — category frequencies and trailing mean series — without any external API calls, predictions, or live data lookups. It is ideal for offline batch summarization of fee data up to 200 rows at very low cost ($0.01 USDC for both reports simultaneously).
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
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