{"uid":"cap_dRgNNU8K0Z6OLtleyHlXy","slug":"test-coverage-string-normalisation-and-adjacent-row-changes-analyzer-2bedcb77","name":"Test Coverage String Normalisation and Adjacent Row Changes Analyzer","description":"Test coverage — String normalisation + Adjacent row changes: String normalisation + 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.","url":"https://market.datapackvibe.com/x402/assistant-ib26-software-10-029?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","component","date","covered_lines","total_lines"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"component":{"type":"string","default":"","maxLength":80},"total_lines":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"covered_lines":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","component":"group-a","total_lines":1,"covered_lines":10},{"date":"2026-10-02","row_id":"row-2","component":"group-b","total_lines":2,"covered_lines":20},{"date":"2026-10-03","row_id":"row-3","component":"group-a","total_lines":3,"covered_lines":15},{"date":"2026-10-04","row_id":"row-4","component":"group-b","total_lines":4,"covered_lines":30}],"maxItems":200,"minItems":1},"field":{"enum":["covered_lines","total_lines"],"type":"string","default":"covered_lines"}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.01","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.01/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_ZXX8om0D9J47FkYRKvebm","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Analyzes test coverage records by performing string normalization and detecting adjacent row changes across up to 200 rows of covered/total line data.","exampleAgentPrompt":"Can you run string normalization and adjacent row change analysis on these 4 test coverage records — component group-a on 2026-10-01 with covered_lines=10 and total_lines=1, group-b on 2026-10-02 with covered_lines=20 and total_lines=2, group-a on 2026-10-03 with covered_lines=15 and total_lines=3, and group-b on 2026-10-04 with covered_lines=30 and total_lines=4 — focusing on the covered_lines field?","exampleUseCases":[{"title":"Daily test coverage drift detection","prompt":"I have 5 days of test coverage snapshots for our main app components and I want to see how covered_lines changed row by row — can you normalize the component names and flag all adjacent row changes? Here are the rows: row-1 on 2025-01-10 component auth-service covered_lines=320 total_lines=400, row-2 on 2025-01-11 component Auth_Service covered_lines=315 total_lines=400, row-3 on 2025-01-12 component auth-service covered_lines=330 total_lines=405, row-4 on 2025-01-13 component auth-service covered_lines=310 total_lines=405, row-5 on 2025-01-14 component auth-service covered_lines=340 total_lines=410."},{"title":"CI pipeline coverage regression audit","prompt":"Can you analyze my CI pipeline test coverage data for string normalization issues and adjacent row changes in total_lines? Rows: row-1 2025-03-01 component backend covered_lines=500 total_lines=600, row-2 2025-03-02 component BackEnd covered_lines=480 total_lines=600, row-3 2025-03-03 component backend covered_lines=510 total_lines=610, row-4 2025-03-04 component backend covered_lines=490 total_lines=610."},{"title":"Sprint-over-sprint coverage comparison","prompt":"I need to compare test coverage records across our two sprint components — please run string normalization and adjacent row change detection on covered_lines for these entries: row-1 2025-06-01 component sprint-1 covered_lines=200 total_lines=250, row-2 2025-06-02 component sprint-2 covered_lines=220 total_lines=260, row-3 2025-06-03 component Sprint_1 covered_lines=195 total_lines=250, row-4 2025-06-04 component sprint-2 covered_lines=230 total_lines=265."}],"resultDescription":"Returns two independent analytical reports using local analytical engines: one covering string normalization of component and row fields, and one covering adjacent row-to-row changes for the selected numeric field (covered_lines or total_lines). Reports span up to 200 input rows and include computed deltas and normalized string values.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, component, date, covered_lines, total_lines) — validation error","Invalid date format (must match YYYY-MM-DD pattern) — schema validation failure","Numeric values out of acceptable range — error returned","Empty rows array — minimum 1 item required","Payment failure or insufficient USDC balance — request not processed"],"whenToPreferThis":"Choose this endpoint when you need to simultaneously normalize string fields and detect adjacent row-to-row changes in test coverage data (covered_lines or total_lines) across up to 200 records in a single low-cost call. Ideal for QA pipelines, CI/CD coverage audits, and sprint comparisons where both data cleaning and delta detection are needed together without external lookups or live data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:32:38.107Z","isFirstParty":false,"canonicalSlug":"test-coverage-string-normalisation-and-adjacent-row-changes-analyzer-2bedcb77"}