{"uid":"cap_p79Jm0qsdSNs-2Dt8g8x8","slug":"issue-throughput-exact-row-deduplication-numeric-row-ordering-dfeb86f2","name":"Issue Throughput — Exact Row Deduplication + Numeric Row Ordering","description":"Issue throughput — Exact row deduplication + Numeric row ordering: Exact row deduplication + Numeric row ordering 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-13-042?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_o6Xif6dojOLpuP4D7BIwK","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 and numerically orders up to 200 rows of issue throughput records (issues_opened, issues_closed) and produces 2 analytical reports per call.","exampleAgentPrompt":"Can you deduplicate and numerically order this batch of issue throughput records for me — I have about 50 rows with columns for row_id, component, date, issues_opened, and issues_closed — and give me 2 reports on the issues_opened field?","exampleUseCases":[{"title":"Clean up duplicate sprint issue data","prompt":"I have a CSV export from our issue tracker with 120 rows covering multiple components and dates — some rows are duplicated. Can you deduplicate them and give me numerically ordered reports on issues_closed for the sprint?"},{"title":"Multi-component issue throughput audit","prompt":"We track issues across three product components daily and I think there are duplicate entries in our 80-row dataset. Please deduplicate the records and order them numerically, then give me both the issues_opened and issues_closed reports."},{"title":"Verify issue count data before board review","prompt":"Before our weekly board review I need to clean this 45-row issue throughput dataset — remove any exact duplicates, sort the rows numerically, and produce the two standard reports focusing on issues_opened."}],"resultDescription":"Two analytical reports per call covering the selected field (issues_opened or issues_closed) across the submitted rows, with exact duplicate rows removed and remaining rows presented in numeric order. Output reflects cleaned, ordered issue throughput data ready for downstream use.","failureModes":["Exceeding 200 rows results in rejection or truncation","Missing required fields (row_id, component, date, issues_opened, issues_closed) causes validation error","Invalid date format (not YYYY-MM-DD) triggers schema validation failure","Payment of 0.01 USDC not fulfilled causes 402 response","Submitting fewer than 1 row causes a minItems validation error","Numeric values outside the allowed range (-1,000,000,000,000 to 1,000,000,000,000) are rejected"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of software issue throughput data (issues_opened/issues_closed by component and date) that need exact duplicate removal and numeric ordering, and you want two analytical summary reports from a single low-cost call. Prefer this over general-purpose analytics when the data is already supplied and you need lightweight local computation without external lookups or live integrations.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:34:09.745Z","isFirstParty":false,"canonicalSlug":"issue-throughput-exact-row-deduplication-numeric-row-ordering-dfeb86f2"}