Data Ingestion Batches — IQR Outlier Flags + 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 2026-10-18).
Analyzes up to 200 data ingestion batch records to produce IQR-based outlier flags and a date-by-category pivot table for received_rows or accepted_rows.
Data ingestion batches — IQR outlier flags + Date by category pivot: IQR outlier flags + Date by category pivot for supplied data ingestion batches records (received_rows, accepted_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 analytical reports: (1) IQR outlier flags for each row indicating whether the selected numeric field (received_rows or accepted_rows) falls outside the interquartile range, and (2) a pivot table organizing values by date and dataset_group category. Both reports are computed locally from the supplied data with no external lookups.
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-01-178?utm_source=zero.xyzChoose this endpoint when you need both IQR-based statistical outlier detection and a date-by-category pivot in a single low-cost call for data ingestion batch records specifically containing received_rows and accepted_rows metrics. It is ideal for data engineers monitoring ETL pipeline health, data quality teams spot-checking batch acceptance rates, or analysts building lightweight anomaly reports without needing an external analytics platform. Prefer this over general-purpose analytics services when you want a deterministic, self-contained analysis of up to 200 ingestion records for $0.01.
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
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