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Join Coverage Analytics: Record Quality Audit + Exact Row Deduplication + IQR Outlier Flags
x402
Join Coverage Analytics: Record Quality Audit + Exact Row Deduplication + 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 2026-10-23).
Runs three local analytical reports on join coverage data (matched_rows, source_rows): a record quality audit, exact row deduplication, and IQR-based outlier flagging — all in one call for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Join coverage — Record quality audit + Exact row deduplication + IQR outlier flags: Record quality audit + Exact row deduplication + IQR outlier flags for supplied join coverage records (matched_rows, source_rows). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Returns three independent analytical reports: (1) a record quality audit identifying missing values, format errors, and data integrity issues; (2) an exact row deduplication report listing duplicate records; and (3) IQR-based outlier flags highlighting statistically anomalous values in the selected field (matched_rows or source_rows). All analysis is performed locally on the supplied data — no external lookups or predictions.
Example use cases
Pre-pipeline join coverage quality gate
“Before I merge these datasets, can you audit my join coverage records for quality issues, remove any exact duplicate rows, and flag statistical outliers in the matched_rows column? I have about 150 rows across two dataset groups dated from 2026-01-01 to 2026-03-31.”
ETL anomaly detection on source row counts
“I want to check my ETL output for problems — run the quality audit, deduplication, and IQR outlier detection on my join coverage data focusing on the source_rows field. There are 80 rows across groups 'prod' and 'staging' from 2025-06-01 to 2025-06-30.”
Data validation report for join coverage audit
“Can you give me a full data health report on these join coverage records — I need to know which rows are duplicates, which have quality issues, and which matched_rows values are outliers based on IQR? About 50 rows for dataset group 'warehouse' from 2024-Q4.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-09-220?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a bundled three-in-one analytical pass on join coverage records — quality audit, deduplication, and IQR outlier detection — in a single cost-efficient call ($0.01 USDC for all three reports). Prefer this over separate endpoints when your data has up to 200 rows and you want a comprehensive data health snapshot without external lookups or live data enrichment. If you only need one or two of the three reports, check sibling endpoints that offer narrower combinations.
Side effects
- Exceeds 200 row limit — request rejected or truncated
- 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
- Field selector not in enum ['matched_rows','source_rows'] — rejected
- Numeric values outside allowed range (-1T to +1T) — schema error
- Empty rows array — minimum 1 item required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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