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Test Coverage Duplicate Key Report + Adjacent Row Changes
x402
Test Coverage Duplicate Key Report + Adjacent Row Changes is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-28).
Analyzes test coverage records to produce a duplicate key report and adjacent row change detection report for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Test coverage — Duplicate key report + Adjacent row changes: Duplicate key report + Adjacent row changes 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 independent analytical reports: (1) a duplicate key report identifying rows with repeated row_id values across the supplied test coverage records, and (2) an adjacent row changes report highlighting where the specified field (covered_lines or total_lines) changes between consecutive rows, all computed locally without external lookups.
Example use cases
CI pipeline coverage data audit
“I just exported my CI pipeline's test coverage records and want to check if there are any duplicate row IDs and where covered_lines changes between consecutive rows — can you run both reports on my dataset?”
Regression test deduplication check
“We have about 150 rows of regression test coverage data by component and date. Can you run a duplicate key report and adjacent row changes analysis on the total_lines field to find any oddities?”
Coverage data integrity before reporting
“Before I finalize our monthly coverage report, can you check these 80 test coverage records for duplicate keys and flag any adjacent row changes in covered_lines so I can clean the data first?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-software-10-062?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to simultaneously audit test coverage records for duplicate row keys AND detect adjacent row-level changes in a coverage metric, without requiring any external data sources or live lookups. Ideal for pre-reporting data quality checks on software test coverage datasets of up to 200 rows when you want two analytical reports in a single low-cost call.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, component, date, covered_lines, total_lines) — validation error
- Invalid date format not matching YYYY-MM-DD pattern — validation error
- Empty rows array — minimum 1 item required
- Field enum value not one of covered_lines or total_lines — validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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