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Test Coverage Exact Row Deduplication and Two-Measure Correlation
x402
Test Coverage Exact Row Deduplication and Two-Measure Correlation 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).
Deduplicates exact rows and computes correlation between covered_lines and total_lines for up to 200 test coverage records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Test coverage — Exact row deduplication + Two-measure correlation: Exact row deduplication + Two-measure correlation 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) an exact row deduplication report identifying and removing fully duplicate records from the supplied dataset, and (2) a two-measure correlation report quantifying the statistical relationship between covered_lines and total_lines across up to 200 submitted rows. Both reports are generated locally without external lookups.
Example use cases
Sprint coverage data deduplication
“I've got a batch of test coverage entries from our last sprint and I suspect there are duplicate rows — can you deduplicate them exactly and also tell me how strongly covered_lines correlates with total_lines across all entries? Here are the rows: row-1, auth-service, 2025-03-01, 340 covered, 400 total; row-2, payment-service, 2025-03-02, 210 covered, 300 total; row-3, auth-service, 2025-03-01, 340 covered, 400 total.”
Multi-component coverage correlation check
“We track coverage for several components daily. Can you analyze these 10 coverage records — strip out any exact duplicates and then run a correlation between covered_lines and total_lines so I know if the two measures move together? Components are frontend, backend, and db-layer with dates ranging 2025-04-01 to 2025-04-10.”
CI pipeline coverage report cleanup
“Our CI pipeline exports coverage CSVs and they sometimes contain repeated rows. Please deduplicate these coverage records exactly and compute the correlation between covered_lines and total_lines: row-1 api-gateway 2025-06-01 500 covered 800 total, row-2 worker-service 2025-06-02 300 covered 450 total, row-3 api-gateway 2025-06-01 500 covered 800 total, row-4 cache-layer 2025-06-03 120 covered 200 total.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-software-10-050?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both exact-duplicate detection and a two-measure Pearson/statistical correlation on software test coverage data (covered_lines vs total_lines) in a single low-cost call. It is ideal for CI/CD pipelines, sprint retrospectives, or data quality audits on coverage exports where you want to clean duplicates and understand metric relationships simultaneously without sending data to external prediction or lookup services.
Side effects
- Fewer than 1 row submitted — validation error
- More than 200 rows submitted — exceeds maximum item limit
- Missing required fields (row_id, component, date, covered_lines, or total_lines) — schema validation failure
- Date field not matching YYYY-MM-DD pattern — pattern validation error
- Non-numeric values in covered_lines or total_lines — type error
- Insufficient variance in measures prevents meaningful correlation computation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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