{"uid":"cap_ZTL3IYrKCPvIjE0wAsCgF","slug":"issue-throughput-record-quality-audit-adjacent-row-changes-703e6319","name":"Issue Throughput Record Quality Audit + Adjacent Row Changes","description":"Issue throughput — Record quality audit + Adjacent row changes: Record quality audit + Adjacent row changes for supplied issue throughput records (issues_opened, issues_closed). 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-13-011?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","component","date","issues_opened","issues_closed"],"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},"issues_closed":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"issues_opened":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","component":"group-a","issues_closed":1,"issues_opened":10},{"date":"2026-10-02","row_id":"row-2","component":"group-b","issues_closed":2,"issues_opened":20},{"date":"2026-10-03","row_id":"row-3","component":"group-a","issues_closed":3,"issues_opened":15},{"date":"2026-10-04","row_id":"row-4","component":"group-b","issues_closed":4,"issues_opened":30}],"maxItems":200,"minItems":1},"field":{"enum":["issues_opened","issues_closed"],"type":"string","default":"issues_opened"}}},"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_q0-UjPMC7fi_UtNSiwbgQ","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 two local analytical reports on issue throughput data: a record quality audit and an adjacent row changes analysis, for up to 200 rows of issues_opened/issues_closed data.","exampleAgentPrompt":"Can you run a record quality audit and adjacent row changes report on this issue throughput data — I have up to 50 rows with component, date, issues_opened, and issues_closed fields, and I want to check the issues_opened column specifically?","exampleUseCases":[{"title":"Sprint data quality check","prompt":"I've got about 80 rows of daily issue tracking data across a few components — can you audit the record quality and flag adjacent row changes in the issues_closed numbers so I can catch any weird spikes or bad entries before our sprint review?"},{"title":"Backlog anomaly detection","prompt":"Run a record quality audit and adjacent row changes analysis on my backlog data — I have rows with date, component, issues_opened, and issues_closed for the past quarter, and I want to focus on the issues_opened field to find anything suspicious."},{"title":"CI pipeline data validation","prompt":"Before I feed our issue throughput records into the dashboard, can you do a quality audit and check for unusual changes between consecutive rows? I have about 150 rows covering multiple components, and I want to look at the issues_closed column."}],"resultDescription":"Two independent analytical reports: (1) a record quality audit identifying missing values, format errors, out-of-range values, and other data integrity issues in the supplied rows; and (2) an adjacent row changes report highlighting differences between consecutive rows for the selected field (issues_opened or issues_closed), grouped by component and date. Results are computed locally without external lookups.","failureModes":["Missing required fields (row_id, component, date, issues_opened, issues_closed) cause validation errors","Date strings not matching YYYY-MM-DD pattern are rejected","Submitting more than 200 rows exceeds the maxItems limit","Submitting an empty rows array (minItems: 1 violation) is rejected","Invalid field enum value (not issues_opened or issues_closed) causes an error","Payment not included or insufficient USDC causes a 402 response"],"whenToPreferThis":"Use this endpoint when you have issue throughput tabular data (issues opened/closed by component and date) and need both a data quality audit and a consecutive-row change analysis in a single low-cost call ($0.01 USDC). It is ideal for pre-processing issue tracking exports before dashboarding or reporting, especially when you want offline/local analytical results without any external data enrichment or prediction.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T12:56:53.830Z","isFirstParty":false,"canonicalSlug":"issue-throughput-record-quality-audit-adjacent-row-changes-703e6319"}