{"uid":"cap_anAl_VEDpF4SikFv5M7mB","slug":"test-coverage-duplicate-key-report-date-by-category-pivot-2b504e44","name":"Test Coverage Duplicate Key Report + Date by Category Pivot","description":"Test coverage — Duplicate key report + Date by category pivot: Duplicate key report + 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. 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Here are up to 200 rows.","exampleUseCases":[{"title":"Audit CI pipeline coverage for duplicate entries","prompt":"I've exported test coverage records from our CI pipeline with row IDs, component names, dates, covered_lines, and total_lines — can you check for any duplicate row keys and also pivot the covered_lines by date and component so I can see coverage trends?"},{"title":"Spot duplicated test records across releases","prompt":"Here are 150 rows of test coverage data tagged by component and date — run a duplicate key report on the row IDs and give me a pivot of total_lines by date and category so I can spot any repeated records across our release cycles."},{"title":"Summarize coverage metrics by team and sprint","prompt":"I have covered_lines and total_lines records for each of our teams across different sprint dates — can you find any duplicate row IDs in this dataset and pivot the covered_lines values by date and component so I can see which teams had the best coverage each sprint?"}],"resultDescription":"Two independent analytical reports: (1) a duplicate key report identifying any repeated row_id values within the submitted dataset, and (2) a date-by-category pivot table aggregating the selected metric (covered_lines or total_lines) by date and component, for up to 200 input rows.","failureModes":["Empty or missing rows array returns an error","More than 200 rows submitted exceeds the limit and is rejected","Invalid date format (not YYYY-MM-DD) causes row-level validation failure","Non-numeric values in covered_lines or total_lines outside allowed range rejected","Missing required fields (row_id, component, date) cause validation errors","Invalid field enum value (not covered_lines or total_lines) returns bad request"],"whenToPreferThis":"Choose this endpoint when you need both a duplicate key audit and a date-by-category pivot on test coverage data in a single call, without requiring any external lookups, predictions, or live data. It is ideal for local, offline analytical QA of code coverage datasets with up to 200 rows where cost-efficiency matters (two reports for $0.01 USDC).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:32:10.144Z","isFirstParty":false,"canonicalSlug":"test-coverage-duplicate-key-report-date-by-category-pivot-2b504e44"}