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Join Coverage Analytics: Duplicate Key Report + Numeric Row Ordering
x402
Join Coverage Analytics: Duplicate Key Report + 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 data (matched_rows, source_rows) to produce a duplicate key report and numeric row ordering for up to 200 supplied rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Join coverage — Duplicate key report + Numeric row ordering: Duplicate key report + 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 independent analytical reports: (1) a duplicate key report identifying any repeated row identifiers within the supplied join coverage records, and (2) a numeric row ordering ranking rows by the selected field (matched_rows or source_rows). Both reports are computed locally against the supplied data with no external lookups.
Example use cases
Auditing join key uniqueness in ETL pipeline
“I need to check my ETL join results for duplicate keys — here are 50 rows with row_id, dataset_group, date, source_rows, and matched_rows values. Run a duplicate key report and rank them numerically by source_rows so I can see which rows have repeated identifiers.”
Validating matched row counts across dataset groups
“Can you analyze these 120 join coverage records across groups A and B for duplicate keys and give me a numeric ordering by matched_rows? I want to spot which row IDs appear more than once and how the match counts rank.”
Ordering join coverage rows for QA review
“For our data quality review, run a duplicate key report and numeric row ordering on these 30 join coverage rows — use matched_rows as the field — so we can prioritize which records to investigate first.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-09-058?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to simultaneously check for duplicate row keys AND get a numeric ordering of join coverage records in a single API call. It is purpose-built for join coverage data with matched_rows and source_rows fields, processes up to 200 rows, and bundles two analytical reports for $0.01 USDC — ideal for lightweight data quality checks on join outputs without needing a full data warehouse or external analytics service.
Side effects
- Missing required fields (row_id, dataset_group, date, matched_rows, source_rows) causes validation error
- More than 200 rows submitted exceeds maxItems limit
- Date values not matching YYYY-MM-DD pattern are rejected
- Payment failure or insufficient USDC balance blocks request
- Null numeric values in the selected field may affect ordering output
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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