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Join Coverage Analytics: Category Frequencies + Numeric Row Ordering
x402
Join Coverage Analytics: Category Frequencies + Numeric Row Ordering 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).
Analyzes join coverage records (matched_rows, source_rows) to produce category frequency distributions by dataset_group and numeric row ordering for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Join coverage — Category frequencies + Numeric row ordering: Category frequencies + Numeric row ordering 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: (1) category frequencies showing how often each dataset_group appears in the supplied records, and (2) a numeric row ordering ranking each record by the selected field (matched_rows or source_rows). Both reports are computed locally on the submitted data without any external lookups.
Example use cases
ETL pipeline join quality audit
“I have join coverage results from my ETL pipeline — 10 records across 3 dataset groups with matched_rows and source_rows for each date in November 2025. Can you give me the category frequencies by group and rank the rows numerically by matched_rows so I can spot which groups have the worst coverage?”
Data warehouse match rate review
“Here are 50 rows of join coverage data from our data warehouse reconciliation, each tagged with a dataset_group, matched_rows, and source_rows. Please compute the category frequencies across groups and give me a numeric row ordering by source_rows so I can see which records rank highest.”
Daily join coverage monitoring summary
“I'm tracking daily join coverage for two groups over the past 30 days — each row has a date, matched_rows, source_rows, and a group label. Can you produce category frequencies by dataset_group and a numeric ordering ranked by matched_rows for today's batch of up to 150 records?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-09-100?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have join coverage data (matched_rows and source_rows per record) and need both a category frequency breakdown by dataset_group and a numeric ranking of rows by one of those fields in a single $0.01 call. It is ideal for data engineers auditing ETL join quality, reconciling dataset match rates, or summarizing pipeline coverage statistics without needing any external data sources or live predictions.
Side effects
- Exceeding 200 rows returns a validation error — batch must be split
- Missing required fields (row_id, dataset_group, date, matched_rows, source_rows) cause schema validation failure
- Invalid date format (not YYYY-MM-DD) triggers pattern validation error
- Providing an invalid field enum value (anything other than matched_rows or source_rows) causes rejection
- Null numeric values for the selected field may affect ordering completeness
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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