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Test Coverage Analyzer — Exact Row Deduplication + Date by Category Pivot
x402
Test Coverage Analyzer — Exact Row Deduplication + Date by Category Pivot is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-26).
Performs exact row deduplication and a date-by-category pivot on supplied test coverage records (covered_lines, total_lines) for up to 200 rows, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Test coverage — Exact row deduplication + Date by category pivot: Exact row deduplication + Date by category pivot 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 reports: (1) an exact row deduplication report identifying and removing fully duplicate entries from the supplied test coverage records, and (2) a date-by-category pivot table cross-tabulating the selected metric (covered_lines or total_lines) by date and component. Both reports are derived locally from the supplied data with no external lookups.
Example use cases
CI pipeline coverage deduplication
“Our CI system emits test coverage records and sometimes logs duplicates — can you deduplicate these rows exactly and also give me a date-by-category pivot on covered_lines so I can see clean coverage numbers per component each day? Here are up to 200 rows with row_id, component, date, covered_lines, and total_lines.”
Component coverage trend pivot
“I want to see how total_lines vary by component across dates for our monorepo — can you run exact deduplication to remove any repeated rows and produce a date-by-category pivot table on total_lines from this dataset of up to 200 test coverage records?”
QA data quality audit
“Before our sprint review I need to audit our test coverage records for exact duplicate rows and also get a pivot of covered_lines by date and component — can you process these 150 records with row_id, component, date, covered_lines, and total_lines and give me both reports?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-software-10-052?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 test coverage records and need both exact duplicate row removal and a date-by-component pivot in a single low-cost call. It is purpose-built for software test coverage data (covered_lines, total_lines) and runs both reports together for $0.01 USDC, making it more efficient than general-purpose data tools when your dataset fits the schema and size limit.
Side effects
- Input array has fewer than 1 row or more than 200 rows — request rejected
- Missing required fields (row_id, component, date, covered_lines, total_lines) in any row — validation error
- Date values not matching YYYY-MM-DD pattern — schema validation failure
- Numeric fields outside allowed range — validation error
- Invalid field enum value (not 'covered_lines' or 'total_lines') — schema rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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