Data Ingestion Batches — Numeric Interval Filter + 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 2026-10-21).
Applies a numeric interval filter and IQR-based outlier detection to up to 200 data ingestion batch records, returning two analytical reports on received_rows or accepted_rows.
Data ingestion batches — Numeric interval filter + IQR outlier flags: Numeric interval filter + IQR outlier flags 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.
Two analytical reports: one identifying rows whose selected numeric field (received_rows or accepted_rows) falls outside the specified minimum–maximum interval, and one flagging rows that are IQR-based statistical outliers — both derived locally from the supplied batch data with no external lookups.
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-01-130?utm_source=zero.xyzChoose this endpoint when you need lightweight, local statistical analysis of data ingestion batch records — specifically interval range filtering and IQR outlier flagging on received_rows or accepted_rows — without needing external data, predictions, or professional assessment. Ideal for data quality checks on small-to-medium ingestion logs (up to 200 rows) at very low cost ($0.01 for two reports). Prefer alternatives if you need more than 200 rows, different field types, time-series forecasting, or live pipeline monitoring.
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
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