{"uid":"cap_fqYS8JpDLVDkF0S8vCxiA","slug":"issue-throughput-numeric-interval-filter-adjacent-row-changes-a703f81f","name":"Issue Throughput — Numeric Interval Filter + Adjacent Row Changes","description":"Issue throughput — Numeric interval filter + Adjacent row changes: Numeric interval filter + 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-13-127?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"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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__r8_I47lph1cEnakFHS8-","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":"Filters issue throughput records (issues_opened/issues_closed) by a numeric interval and computes adjacent-row changes, returning two bundled analytical reports for up to 200 rows.","exampleAgentPrompt":"I have daily issue throughput data for two components — take these rows and filter to only the records where issues_closed is between 2 and 20, then show me how each row's value changed from the one before it. I want both the filtered results and the adjacent row changes in one report.","exampleUseCases":[{"title":"Sprint bug closure analysis","prompt":"Here's my sprint data with daily issues_closed counts for component 'backend' — filter it to rows where issues_closed is between 3 and 30, and show me how the number changed between consecutive days."},{"title":"Issue backlog growth monitoring","prompt":"I've got 90 days of issues_opened records for two teams. Can you filter to days where issues_opened was between 10 and 100, and also compute the adjacent row-over-row changes so I can see the trend?"},{"title":"Identify anomalous issue spikes","prompt":"Run an interval filter on these issue throughput rows — I want to focus on issues_opened values between 0 and 15 for the 'frontend' component, and also give me the adjacent row changes so I can spot any sudden jumps."}],"resultDescription":"Two bundled reports: (1) rows where the selected field (issues_opened or issues_closed) falls within the specified [minimum, maximum] interval, and (2) adjacent row-over-row differences for that field across the supplied dataset. Results cover up to 200 input rows and are computed locally without external lookups.","failureModes":["Input array exceeds 200 rows — request will be rejected or truncated","Missing required fields (row_id, date, issues_opened, issues_closed) cause validation errors","Date strings not matching YYYY-MM-DD pattern will fail schema validation","Minimum greater than maximum produces an empty interval filter result","Null numeric values in the selected field may produce null deltas in adjacent row changes","Payment of 0.01 USDC not fulfilled causes 402 rejection"],"whenToPreferThis":"Use this endpoint when you have tabular issue throughput data (issues opened/closed per row) that you want to slice by a numeric range AND simultaneously inspect row-to-row changes, all in one paid call. It is ideal for software teams that export bug tracker data and need two complementary analyses (range filter + delta series) without setting up their own analytics pipeline. Prefer it over general-purpose analytics services when cost predictability ($0.01 per 2 reports, up to 200 rows) and simplicity matter more than custom aggregations.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:33:16.224Z","isFirstParty":false,"canonicalSlug":"issue-throughput-numeric-interval-filter-adjacent-row-changes-a703f81f"}