Transaction Fee Observations — Trailing Mean Series + Explicit Missing-Value Fill is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-24).
Computes a trailing mean time series and fills missing values in transaction fee observation records using a chosen fill method (zero, mean, or median).
Transaction fee observations — Trailing mean series + Explicit missing-value fill: Trailing mean series + Explicit missing-value fill 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 for the supplied rows: (1) a trailing mean series computed over the specified window for the chosen field (fee_units or transaction_count), and (2) an explicit missing-value fill of that field using the selected method (zero, mean, or median). Results include per-row output aligned to the input row_ids and dates.
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-03-154?utm_source=zero.xyzUse this endpoint when you need both a trailing mean time series and explicit missing-value imputation on transaction fee data (fee_units or transaction_count) in a single low-cost call. It is optimized for small-to-medium datasets up to 200 rows and runs entirely on local analytical engines without any external data lookup or live market data. Prefer it over general-purpose analytics tools when you want a deterministic, reproducible, offline computation with a fixed per-call cost.
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string | |
| window | integer |
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