{"uid":"cap_Fi4FHtQyl1p_aUhHu7UAh","slug":"release-readiness-numeric-distribution-adjacent-row-changes-analyzer-9a502581","name":"Release Readiness Numeric Distribution + Adjacent Row Changes Analyzer","description":"Release readiness — Numeric distribution + Adjacent row changes: Numeric distribution + Adjacent row changes for supplied release readiness records (checks_passed, checks_total). 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-12-077?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","component","date","checks_passed","checks_total"],"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},"checks_total":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"checks_passed":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","component":"group-a","checks_total":1,"checks_passed":10},{"date":"2026-10-02","row_id":"row-2","component":"group-b","checks_total":2,"checks_passed":20},{"date":"2026-10-03","row_id":"row-3","component":"group-a","checks_total":3,"checks_passed":15},{"date":"2026-10-04","row_id":"row-4","component":"group-b","checks_total":4,"checks_passed":30}],"maxItems":200,"minItems":1},"field":{"enum":["checks_passed","checks_total"],"type":"string","default":"checks_passed"}}},"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_2G-qFOlVcJblt9TqvPBLK","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":"Analyzes release readiness check data (checks_passed, checks_total) by computing numeric distribution statistics and detecting adjacent row changes across up to 200 supplied records.","exampleAgentPrompt":"Can you run a numeric distribution and adjacent row changes analysis on our release readiness data — here are 4 rows with row IDs row-1 through row-4, components group-a and group-b, dates 2026-10-01 through 2026-10-04, and I want to analyze the checks_passed field?","exampleUseCases":[{"title":"Daily release gate check trend analysis","prompt":"I have a week of release readiness records across three software components — can you compute the numeric distribution and adjacent row changes for checks_passed so I can see where pass rates jumped or dropped day over day?"},{"title":"Sprint-end QA coverage summary","prompt":"At the end of this sprint I want to understand how checks_total is distributed and where it changed between consecutive days — here are 50 rows of release readiness data, please analyze the checks_total field."},{"title":"Multi-component release health comparison","prompt":"We have release readiness records for five components over the past month. Can you give me both a numeric distribution and the adjacent row changes for checks_passed so we can identify which component had the most volatility?"}],"resultDescription":"Returns two independent analytical reports: (1) a numeric distribution report summarizing statistical properties of the selected field (checks_passed or checks_total) across all supplied rows, and (2) an adjacent row changes report identifying value differences between consecutive rows in the dataset. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["Fewer than 1 or more than 200 rows supplied — request rejected","Invalid date format (not YYYY-MM-DD) — validation error","Missing required fields (row_id, component, date, checks_passed, checks_total) — schema validation failure","Invalid field enum value (not checks_passed or checks_total) — error","Null numeric values may affect distribution statistics","Payment of 0.01 USDC not completed — endpoint returns 402"],"whenToPreferThis":"Choose this endpoint when you have up to 200 release readiness records with check pass/total counts and need two analytical reports — numeric distribution and adjacent row changes — in a single low-cost call. Ideal for CI/CD pipelines, sprint retrospectives, or release gate dashboards where you want local statistical analysis without any external data fetching or prediction.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T12:48:35.833Z","isFirstParty":false,"canonicalSlug":"release-readiness-numeric-distribution-adjacent-row-changes-analyzer-9a502581"}