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Data Ingestion Batches — IQR Outlier Flags + Keyed Dataset Comparison
x402
Data Ingestion Batches — IQR Outlier Flags + Keyed Dataset Comparison is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-22).
Analyzes up to 200 data ingestion batch records to produce two reports: IQR-based outlier detection and a keyed comparison between two datasets, for received_rows or accepted_rows metrics.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data ingestion batches — IQR outlier flags + Keyed dataset comparison: IQR outlier flags + Keyed dataset comparison 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.
Output
Two independent analytical reports: (1) IQR outlier flags identifying which rows have statistically anomalous values for the selected field (received_rows or accepted_rows), and (2) a keyed dataset comparison report showing differences between the primary and secondary supplied datasets, matched by row_id.
Example use cases
Pipeline anomaly detection for ETL monitoring
“I have 80 rows of daily ingestion batch records with row_id, dataset_group, date, received_rows, and accepted_rows — can you flag any outliers in accepted_rows using IQR and also compare them against last week's dataset to spot discrepancies?”
Dataset drift check between two ingestion runs
“We ran our ingestion pipeline twice this week and I want to compare the two result sets side by side using keyed matching on row_id — can you also run IQR outlier flags on the received_rows column for both batches? I have about 120 rows each.”
Data quality audit for received row counts
“Our data team wants a quick quality check on ingestion metrics — run IQR outlier detection on the received_rows field for our 60-row ingestion log, and compare it against our baseline dataset to see what changed.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-01-179?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need fast, local statistical analysis of data ingestion batch records — specifically IQR-based outlier detection combined with keyed dataset comparison — without any external data lookup or live system access. It is ideal for data quality audits, pipeline monitoring, and before/after ingestion comparisons on datasets up to 200 rows, and is cost-effective at $0.01 USDC for both reports in a single call.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, dataset_group, date, received_rows, accepted_rows) causes schema rejection
- Invalid date format (not YYYY-MM-DD) triggers pattern validation failure
- Null values in the selected numeric field may reduce IQR analysis accuracy
- Empty rows array (minItems:1 not met) returns an error
- Payment not included or insufficient USDC causes 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array |
Tags
x402
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