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Join Coverage Duplicate Key Report and Category Frequencies
x402
Join Coverage Duplicate Key Report and Category Frequencies 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 up to 200 join coverage records to produce a duplicate key report and category frequency distribution across dataset groups.
Price / call$0.01
Success—
StatusUnknown
How this service works
Join coverage — Duplicate key report + Category frequencies: Duplicate key report + Category frequencies 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 any repeated row_id values across the supplied records, and (2) a category frequency table showing how often each dataset_group value appears across all rows. Both reports are computed locally without external lookups.
Example use cases
ETL pipeline join audit
“I just ran a join between my orders and customers tables — here are the coverage rows with row IDs, dates, matched_rows, and source_rows. Can you check for any duplicate row IDs and tell me how often each dataset group appears? Groups are 'orders' and 'customers'.”
Data quality check before merge
“Before I merge these two datasets, can you run a duplicate key report and show me the category frequencies? I have 50 join coverage records with row IDs, dates ranging from 2025-01-01 to 2025-02-20, matched_rows and source_rows counts, spread across three dataset groups: alpha, beta, and gamma.”
Monthly join coverage summary
“Here are my 120 join coverage records for October — each has a row_id, date, matched_rows, source_rows, and dataset_group. Can you find any duplicate row IDs and give me a frequency count broken down by dataset group?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-09-057?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 duplicate key check and category frequency analysis in a single call. It is ideal for data engineers auditing ETL pipelines, analysts checking data quality before a merge, or anyone needing fast local analytics on up to 200 join coverage rows without sending data to an external prediction or enrichment service.
Side effects
- Exceeds 200-row limit — request rejected with validation error
- Missing required fields (row_id, dataset_group, date, matched_rows, source_rows) — row rejected
- Invalid date format (not YYYY-MM-DD) — validation error
- Numeric values outside allowed range (-1e12 to 1e12) — validation error
- Empty rows array — rejected with minItems violation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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