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Join Coverage IQR Outlier Flags + Date-by-Category Pivot
x402
Join Coverage 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 2026-10-19).
Runs two local analytical reports on join coverage data: IQR-based outlier flagging and a date-by-category pivot, for up to 200 rows of matched_rows/source_rows records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Join coverage — IQR outlier flags + Date by category pivot: IQR outlier flags + Date by category pivot for supplied join coverage records (matched_rows, source_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
Returns two analytical reports computed locally on the supplied data: (1) IQR outlier flags indicating which rows have matched_rows or source_rows values outside the interquartile range, and (2) a pivot table of the selected field aggregated by date and dataset_group category. No external data is fetched.
Example use cases
Outlier detection in ETL join coverage
“I have daily join coverage records for two pipeline groups, group-a and group-b, covering October 2026. Can you flag any IQR outliers in the matched_rows field and also show me a date-by-category pivot so I can see which days and groups look unusual?”
Source row coverage audit by dataset group
“Run an IQR outlier analysis and a date-by-category pivot on my source_rows coverage data — I've got about 50 rows across three dataset groups spanning the last two months. I want to see which groups have statistically anomalous source counts.”
Join match rate QA before data pipeline release
“Before we release this pipeline, can you check our join coverage table for outliers using IQR and pivot the matched_rows by date and dataset_group? We have around 120 records and I need both reports at once.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-09-178?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both IQR outlier detection and a date-by-category pivot on join coverage data (matched_rows, source_rows) in a single low-cost call, with no external lookups or ML models — pure local statistical computation on up to 200 user-supplied rows. Ideal for data engineers and analysts monitoring ETL join quality who need fast, deterministic anomaly flags and summary pivots.
Side effects
- Fewer than 1 row supplied — request rejected
- More than 200 rows supplied — request rejected
- Missing required fields (row_id, dataset_group, date, matched_rows, source_rows) — validation error
- Invalid date format (must be YYYY-MM-DD) — schema validation failure
- All values null for selected field — IQR computation may be undefined
- Invalid field enum value (must be matched_rows or source_rows) — rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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