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Join Coverage — Numeric Row Ordering + IQR Outlier Flags
x402
Join Coverage — Numeric Row Ordering + 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 2026-10-15).
Analyzes join coverage records (matched_rows, source_rows) by applying numeric row ordering and IQR-based outlier detection, producing 2 analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Join coverage — Numeric row ordering + IQR outlier flags: Numeric row ordering + IQR outlier flags 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
Two analytical reports covering: (1) numeric row ordering of the selected field (matched_rows or source_rows) across the supplied rows, and (2) IQR-based outlier flags identifying which rows fall outside the interquartile range. Reports are computed locally from the supplied data with no external lookups.
Example use cases
Audit ETL pipeline join ratios
“I've got 50 rows of join coverage output from my ETL pipeline with matched_rows and source_rows per day — can you rank them numerically and flag any IQR outliers in the matched_rows field so I know which days had anomalous join behavior?”
Compare join coverage across dataset groups
“Here are 120 join coverage records split across three dataset groups over the last quarter. Run numeric ordering and IQR outlier detection on the source_rows field so I can see which groups consistently fall outside normal range.”
QA check before data warehouse load
“Before we load this join coverage batch into the warehouse, can you order these 80 rows by their matched_rows values and flag any IQR outliers? The data has row IDs, dates, and group labels already included.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-09-119?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 join coverage records and need both numeric ordering and IQR-based outlier detection in a single call with no external dependencies. Ideal for data engineers auditing ETL pipelines, QA workflows checking join ratios before loads, or analysts flagging anomalous coverage across dataset groups. The fixed $0.01 cost covers 2 reports per call, making it cost-effective for batch audits of join data.
Side effects
- Fewer than 1 row supplied — request rejected
- More than 200 rows submitted — exceeds limit, request rejected
- Invalid date format (not YYYY-MM-DD) — schema validation error
- Missing required fields (row_id, dataset_group, date, matched_rows, source_rows) — validation failure
- Null values in numeric fields may affect IQR computation
- Invalid field enum value (not 'matched_rows' or 'source_rows') — schema error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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