{"uid":"cap_yERFWxwuXXSheETcvIPhX","slug":"issue-throughput-exact-row-deduplication-duplicate-key-report-21140564","name":"Issue Throughput — Exact Row Deduplication + Duplicate Key Report","description":"Issue throughput — Exact row deduplication + Duplicate key report: Exact row deduplication + Duplicate key report 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-13-038?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}}},"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__9I9t7KaY3j3jZO68M44B","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":"Deduplicates exact rows and reports duplicate keys in issue throughput records (issues_opened, issues_closed) for up to 200 rows, producing two independent analytical reports.","exampleAgentPrompt":"Can you run exact row deduplication and a duplicate key report on my issue throughput data? Here are up to 200 rows with fields row_id, component, date, issues_opened, and issues_closed — I need both reports back.","exampleUseCases":[{"title":"Sprint data deduplication audit","prompt":"I've got a CSV of issue throughput records from our last sprint — each row has a row_id, component, date, issues_opened, and issues_closed. Can you check for exact duplicate rows and also flag any duplicate row_id keys? I have about 150 rows."},{"title":"Multi-team component deduplication","prompt":"We merged issue tracking exports from three teams and I suspect there are duplicate entries. Can you run exact row deduplication and a duplicate key report on these issue records — I'll give you the rows with row_id, component, date, issues_opened, and issues_closed fields."},{"title":"Monthly issue data quality check","prompt":"Before I load this month's issue throughput data into our dashboard, can you check it for exact duplicate rows and duplicate row_ids? I have around 80 records with issues_opened and issues_closed per component per day."}],"resultDescription":"Returns two independent reports: (1) an exact row deduplication report identifying which rows are perfect duplicates across all fields, and (2) a duplicate key report flagging rows sharing the same key identifier (row_id), covering up to 200 supplied issue throughput rows. No external lookups or predictions are made — all analysis is performed locally on the supplied data.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, component, date, issues_opened, issues_closed) — validation error","Invalid date format (must be YYYY-MM-DD) — schema validation failure","Empty rows array — minimum 1 item required","Numeric values outside allowed range (±1,000,000,000,000) — validation error"],"whenToPreferThis":"Choose this endpoint when you need to clean or audit issue throughput records (issues_opened/issues_closed) specifically and need both exact-row deduplication AND duplicate key identification in a single cost-effective call. It is well-suited for pre-processing issue tracking data exports before loading into dashboards or analytics pipelines, especially when datasets are up to 200 rows. Prefer alternatives if you need deduplication on non-issue-tracking domains, require more than 200 rows, or need additional transformations beyond deduplication and key reporting.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T12:48:35.421Z","isFirstParty":false,"canonicalSlug":"issue-throughput-exact-row-deduplication-duplicate-key-report-21140564"}