{"uid":"cap_CPsr_g514stWSot5Z0hYB","slug":"continuous-integration-data-quality-audit-record-quality-string-5d70e35d","name":"Continuous Integration Data Quality Audit — Record Quality, String Normalisation & Numeric Distribution","description":"Continuous integration — Record quality audit + String normalisation + Numeric distribution: Record quality audit + String normalisation + Numeric distribution for supplied continuous integration records (build_seconds, test_count). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-software-01-193?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","component","date","build_seconds","test_count"],"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},"test_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"build_seconds":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","component":"group-a","test_count":1,"build_seconds":10},{"date":"2026-10-02","row_id":"row-2","component":"group-b","test_count":2,"build_seconds":20},{"date":"2026-10-03","row_id":"row-3","component":"group-a","test_count":3,"build_seconds":15},{"date":"2026-10-04","row_id":"row-4","component":"group-b","test_count":4,"build_seconds":30}],"maxItems":200,"minItems":1},"field":{"enum":["build_seconds","test_count"],"type":"string","default":"build_seconds"}}},"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_tgSTXF9M63TetElGxBuYV","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":"Runs three analytical reports on CI build data: a record quality audit, string normalisation check, and numeric distribution analysis for build_seconds or test_count fields.","exampleAgentPrompt":"Audit the quality of my CI build records and give me a string normalisation check and numeric distribution report for build_seconds — here are my rows: row-1, auth-service, 2024-03-01, build_seconds=145, test_count=320; row-2, payments-service, 2024-03-02, build_seconds=210, test_count=415; row-3, auth-service, 2024-03-03, build_seconds=98, test_count=280.","exampleUseCases":[{"title":"CI pipeline data quality check","prompt":"Can you run a record quality audit, string normalisation, and numeric distribution report on these build records for our main-api component — I have about 50 rows covering March 2024 with build_seconds and test_count values, and I want to audit build_seconds specifically."},{"title":"Detecting anomalies in build durations","prompt":"I have 120 CI build records from our monorepo with columns row_id, component, date, build_seconds, and test_count — please run a numeric distribution and quality audit on build_seconds so I can spot any weird outliers or data issues."},{"title":"Validating test count data before reporting","prompt":"Before I hand off our CI metrics to the QA team, can you audit the record quality and check the string normalisation and numeric distribution of the test_count field across these 80 rows of build data?"}],"resultDescription":"Returns three independent analytical reports: (1) a record quality audit flagging completeness, nulls, and data integrity issues; (2) a string normalisation report on text fields like component; (3) a numeric distribution summary (min, max, mean, percentiles, etc.) for the selected field (build_seconds or test_count). Up to 200 rows processed per call.","failureModes":["Exceeding 200 rows returns an error or truncation","Missing required fields (row_id, date, component, build_seconds, test_count) causes validation failure","Invalid date format (not YYYY-MM-DD) rejected by schema","Numeric values outside allowed range trigger schema error","Empty rows array not accepted (minItems: 1)"],"whenToPreferThis":"Choose this endpoint when you need a combined data quality, string normalisation, and numeric distribution analysis on CI build records (build_seconds or test_count) in a single call for up to 200 rows. It is especially suited for pre-reporting validation, pipeline hygiene checks, or debugging data anomalies in build logs without needing an external data warehouse or live pipeline connection.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:32:32.455Z","isFirstParty":false,"canonicalSlug":"continuous-integration-data-quality-audit-record-quality-string-5d70e35d"}