Time Series Completeness — Grouped Numeric Summary + IQR Outlier Flags 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).
Analyzes time series completeness data (observed vs expected points) grouped by dataset category, producing numeric summary statistics and IQR-based outlier flags across up to 200 rows.
Time series completeness — Grouped numeric summary + IQR outlier flags: Grouped numeric summary + IQR outlier flags for supplied time series completeness records (observed_points, expected_points). 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 supplied rows: (1) a grouped numeric summary breaking down statistics (mean, median, min, max, etc.) for the selected field (observed_points or expected_points) by dataset_group, and (2) IQR-based outlier flags identifying which rows contain values that fall outside the interquartile range thresholds within their group. No external data is fetched; all analysis is performed on the submitted rows only.
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-16-094?utm_source=zero.xyzChoose this endpoint when you have pre-collected time series completeness records (observed vs expected data points) and need grouped statistical summaries plus IQR-based outlier detection in a single call, without requiring any external data lookup or live monitoring. Ideal for batch QA pipelines, ETL audits, or data coverage checks where data is already assembled and you need fast local analytical output for up to 200 rows across multiple groups.
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
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