Sampling Observations — Trailing Mean Series + 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 2026-10-15).
Computes a trailing mean time series and a date-by-category pivot table for up to 200 sampling observation records (sample_value or sample_weight).
Sampling observations — Trailing mean series + Date by category pivot: Trailing mean series + Date by category pivot for supplied sampling observations records (sample_value, sample_weight). 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: (1) a trailing mean time series showing smoothed values of the selected field (sample_value or sample_weight) over time using the specified window size, and (2) a date-by-category pivot table cross-tabulating the selected field across dataset groups and dates — both computed locally from the supplied rows, with no external data fetching.
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-15-152?utm_source=zero.xyzChoose this endpoint when you need two specific analytical outputs from sampling observation data in a single call: a trailing (rolling) mean time series AND a date-by-category pivot, without needing prediction, external data lookup, or professional assessment. It is ideal when your data fits within 200 rows, you want local computation only, and cost efficiency matters (both reports for $0.01 USDC). Prefer alternatives if you need correlation analysis, outlier detection, deduplication, or string normalization — sibling endpoints on the same platform cover those.
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
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