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Test Coverage Duplicate Key Report and Keyed Dataset Comparison
x402
Test Coverage Duplicate Key Report and Keyed Dataset Comparison is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-25).
Analyzes up to 200 test coverage records to produce a duplicate key report and a keyed dataset comparison between two supplied datasets.
Price / call$0.01
Success—
StatusUnknown
How this service works
Test coverage — Duplicate key report + Keyed dataset comparison: Duplicate key report + Keyed dataset comparison for supplied test coverage records (covered_lines, total_lines). 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) a duplicate key report identifying any rows with repeated row_id values within the supplied dataset, and (2) a keyed dataset comparison showing row-level differences between the primary and secondary datasets based on matching keys, covering covered_lines and total_lines fields. No external data is fetched; all analysis is performed locally on the submitted records.
Example use cases
Pre-merge coverage data audit
“I have two CSV exports of test coverage data from before and after a refactor — each has row_id, component, date, covered_lines, and total_lines. Can you check both for duplicate row keys and compare them to highlight which rows changed?”
CI pipeline duplicate key check
“Our CI pipeline produced 80 test coverage records today. Can you scan them for any duplicate row IDs and also compare this run against yesterday's records to see what shifted in covered_lines?”
Cross-team coverage dataset reconciliation
“I have coverage data from two different teams for the same components and dates — up to 150 rows each. Can you flag any duplicate keys within each dataset and compare the two to show discrepancies in total_lines and covered_lines?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-software-10-069?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to simultaneously detect duplicate keys and compare two test coverage datasets (by covered_lines and total_lines) in a single call at minimal cost. It is ideal for CI/CD pipelines auditing coverage data integrity, reconciling coverage snapshots from different teams or time periods, or validating data before ingestion. It is not suitable for live coverage measurement, prediction, professional code review, or datasets exceeding 200 rows.
Side effects
- Fewer than 1 row submitted — validation error
- More than 200 rows submitted — request rejected or truncated
- Missing required fields (row_id, component, date, covered_lines, total_lines) — schema validation error
- Invalid date format (not YYYY-MM-DD) — pattern validation failure
- Numeric values out of allowed range — validation error
- Empty or whitespace-only row_id — minLength validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| other | array |
Tags
x402
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