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Test Coverage Keyed Dataset Comparison with Missing-Value Fill
x402
Test Coverage Keyed Dataset Comparison with Missing-Value Fill 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).
Compares two keyed test coverage datasets (covered_lines or total_lines) row-by-row and fills in explicit missing values, returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Test coverage — Keyed dataset comparison + Explicit missing-value fill: Keyed dataset comparison + Explicit missing-value fill 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: a keyed dataset comparison showing row-by-row differences between the two input datasets on the selected field (covered_lines or total_lines), and an explicit missing-value fill report identifying and imputing null or absent values — all computed locally with no external lookups.
Example use cases
CI pipeline coverage regression check
“I have two test coverage exports from our CI pipeline — one from before the last merge and one after. They both have row_id, component, date, covered_lines, and total_lines. Can you compare them on covered_lines and flag any rows that changed or have missing values?”
Multi-component coverage audit
“We have two test coverage snapshots for our microservices — components auth-service, payment-service, and user-service across dates 2026-09-01 to 2026-09-30. Compare them on total_lines, fill any missing values, and tell me which components diverge between the two reports.”
QA coverage completeness validation
“My QA team exported test coverage data twice from two different tools — both have the same row IDs and components but some values are null. Compare the covered_lines field across both datasets, fill the missing values, and give me an analysis of the differences.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-software-10-190?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need to programmatically compare two snapshots of test coverage data keyed by row_id and component, especially when handling missing values explicitly. It is best suited for lightweight, offline analytical comparison of up to 200 rows at low cost ($0.01 USDC for 2 reports), with no need for live data lookup, ML prediction, or external integrations.
Side effects
- Missing required fields (row_id, component, date, covered_lines, total_lines) returns validation error
- Exceeding 200 rows returns a row limit error
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Field enum value other than 'covered_lines' or 'total_lines' is rejected
- Empty rows array returns minItems validation error
- Mismatched row_id keys between primary and other dataset may produce empty comparison results
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array | |
| method | string |
Tags
x402
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