Aggregation Checks — 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 aggregation check records (source_sum, aggregate_sum) for up to 200 rows, returning two analytical reports.
Aggregation checks — Trailing mean series + Explicit missing-value fill: Trailing mean series + Explicit missing-value fill for supplied aggregation checks records (source_sum, aggregate_sum). 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 per call: a trailing mean series (rolling window average over the specified field across sorted date rows) and an explicit missing-value fill report (nulls replaced using the chosen method — zero, mean, or median). Reports cover up to 200 input rows grouped by dataset_group and date.
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-17-154?utm_source=zero.xyzChoose this endpoint when you need both trailing mean smoothing and missing-value imputation applied to aggregation check records (source_sum / aggregate_sum) in a single $0.01 call covering up to 200 rows. It is especially useful for data quality pipelines that need to reconcile source and aggregate totals before reporting or downstream processing, without requiring any external data lookup or live computation infrastructure.
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string | |
| window | integer |
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