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Join Coverage Analytics — Duplicate Key Report + Date by Category Pivot
x402
Join Coverage Analytics — Duplicate Key Report + 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).
Analyzes join coverage records (matched_rows, source_rows) to produce two reports: a duplicate key detection report and a date-by-category pivot table, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Join coverage — Duplicate key report + Date by category pivot: Duplicate key report + 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 independent analytical reports: (1) a duplicate key report identifying repeated row_ids within the supplied join coverage records, and (2) a date-by-category pivot table summarizing the selected metric (matched_rows or source_rows) broken down by date and dataset_group — all computed locally without external lookups.
Example use cases
ETL pipeline join quality audit
“I have 150 rows from my ETL join step with row_id, dataset_group, date, matched_rows, and source_rows — can you run a duplicate key report and pivot the matched_rows by date and category so I can see where joins are breaking down?”
Daily dataset coverage monitoring
“Here are my daily join coverage records across two dataset groups for the past month. Can you check for any duplicate keys and give me a pivot of source_rows by date and dataset_group?”
Data reconciliation anomaly detection
“I'm reconciling two data sources and want to spot duplicate row IDs and see how matched_rows trend over dates by group. Can you run the duplicate key report and date-by-category pivot on these 80 join coverage records?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-09-068?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both duplicate key detection and a date-by-category pivot on join coverage data in a single low-cost call. It is ideal for data engineers validating ETL join quality, reconciling datasets, or auditing coverage metrics across time and category without needing external lookups or predictions. At $0.01 USDC for two reports on up to 200 rows, it is cost-efficient for routine data quality checks.
Side effects
- Missing required fields (row_id, dataset_group, date, matched_rows, source_rows) cause validation errors
- Date strings not matching YYYY-MM-DD pattern are rejected
- Submitting more than 200 rows returns an error
- Empty rows array is rejected (minItems: 1)
- Invalid field enum value (not 'matched_rows' or 'source_rows') causes rejection
- Malformed numeric values outside allowed range cause schema validation failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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