Data Reconciliation — Daily Sum Series + 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 2026-10-19).
Computes daily sum series and trailing mean series analytics for supplied data reconciliation records comparing source and target totals, returning two independent reports for up to 200 rows.
Data reconciliation — Daily sum series + Trailing mean series: Daily sum series + Trailing mean series for supplied data reconciliation records (source_total, target_total). 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 independent analytical reports: (1) a daily sum series aggregating the specified field (source_total or target_total) across dataset groups by date, and (2) a trailing mean series computed over the specified rolling window size — both derived from the supplied reconciliation rows with no external data lookups.
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-11-136?utm_source=zero.xyzChoose this endpoint when you need both a daily sum aggregation and a trailing moving average computed together in a single paid call on up to 200 reconciliation rows — ideal for comparing source vs target totals across groups over time without any external lookups, predictions, or live data. Best suited for offline or batch analytical workflows where you supply all the data and want lightweight statistical summaries at low cost ($0.01 USDC for both reports).
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
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