Transformation Throughput Analytics — Trailing Mean Series + Two-Measure Correlation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-28).
Computes a trailing moving average series and a Pearson/linear correlation between processed_rows and duration_seconds for supplied transformation throughput records, returning two analytical reports in one call.
Transformation throughput — Trailing mean series + Two-measure correlation: Trailing mean series + Two-measure correlation for supplied transformation throughput records (processed_rows, duration_seconds). 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 series over the specified window for the chosen field (processed_rows or duration_seconds), with a smoothed value per row in date order; and (2) a two-measure correlation statistic (e.g. Pearson r) between processed_rows and duration_seconds across the supplied dataset. Up to 200 rows supported per call.
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-13-150?utm_source=zero.xyzChoose this endpoint when you have transformation pipeline records with processed_rows and duration_seconds fields and need both a smoothed time series trend (trailing mean) and a linear correlation between the two numeric measures in a single API call at low cost ($0.01 USDC for both reports). Prefer this over general-purpose analytics tools when you want a cheap, self-contained statistical summary without external data lookup or prediction. It is ideal for offline/batch analytical review of ETL or data processing logs.
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
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