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Data Pipeline Runs – IQR Outlier Flags
x402
Data Pipeline Runs – 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 2026-10-17).
Detects IQR-based statistical outliers in data pipeline run metrics (processed_rows or rejected_rows) across up to 200 typed records
Price / call$0.01
Success—
StatusUnknown
How this service works
Data pipeline runs - IQR outlier flags: IQR outlier flags for Data pipeline runs. Up to 200 supplied typed records. Local descriptive analytics; no enrichment or forecast. One of 25 new profiles across 20 shared operations in this industry. 0.01 USDC includes one bounded iqr outlier flags report.
Output
A bounded IQR outlier flags report identifying which of the submitted pipeline run records are statistical outliers for the chosen metric field (processed_rows or rejected_rows), based on interquartile range analysis. No forecasting or external enrichment is included — results are purely descriptive analytics on the supplied data.
Example use cases
Flagging bad ETL batch runs
“I have 90 days of daily pipeline run data for three pipelines and I want to know which runs had statistically outlying processed_row counts — can you flag the IQR outliers in processed_rows for me?”
Spotting rejection rate spikes
“Run an IQR outlier check on my pipeline runs using the rejected_rows field — I want to know which specific run dates had abnormally high rejection counts compared to the rest.”
Data quality audit before reporting
“Before I publish our monthly pipeline health report, can you flag any outlier runs in processed_rows using IQR analysis on all 150 run records I'm providing?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-analytics-pipeline-runs-outliers?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a quick, local IQR-based outlier detection report on a set of data pipeline run records (up to 200) without any external enrichment or forecasting. It is ideal for data engineers and analysts who want to statistically flag anomalous pipeline runs by processed or rejected row counts using a well-understood robust method (IQR), at very low cost per call ($0.01 USDC).
Side effects
- Fewer than 1 row submitted — validation error
- More than 200 rows submitted — request rejected (maxItems exceeded)
- Missing required fields (row_id, pipeline, date, processed_rows, rejected_rows) — schema validation failure
- Invalid date format (not YYYY-MM-DD) — pattern validation error
- Invalid field enum value (not 'processed_rows' or 'rejected_rows') — rejected
- Payment not provided or insufficient USDC — 402 payment required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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