Join Coverage IQR Outlier Flags + Secondary-Measure Weighted Mean 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).
Analyzes join coverage data (matched_rows, source_rows) to flag IQR-based outliers and compute a secondary-measure weighted mean across up to 200 rows in two independent reports.
Join coverage — IQR outlier flags + Secondary-measure weighted mean: IQR outlier flags + Secondary-measure weighted mean for supplied join coverage records (matched_rows, source_rows). 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 for the submitted join coverage rows: (1) IQR-based outlier flags indicating which rows have matched_rows or source_rows values outside the interquartile range, and (2) a secondary-measure weighted mean computed across the supplied data. No external data is fetched; all analysis is performed locally on the supplied rows.
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-09-177?utm_source=zero.xyzChoose this endpoint when you need both IQR-based outlier detection and a weighted mean on join coverage metrics (matched_rows or source_rows) in a single call, without any external lookup or live data dependency. It is well-suited for data quality pipelines, ETL monitoring dashboards, or ad-hoc statistical checks on up to 200 join coverage records. Prefer this over generic stats libraries when you want a bundled two-report output (outlier flags + weighted mean) with a predictable per-call cost.
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
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