{"uid":"cap_bSGYEoCa70UUrcFLsk_JM","slug":"render-jobs-adjacent-row-changes-two-measure-correlation-b1826047","name":"Render Jobs Adjacent Row Changes + Two-Measure Correlation","description":"Render jobs — Adjacent row changes + Two-measure correlation: Adjacent row changes + Two-measure correlation for supplied render jobs records (render_seconds, sample_count). 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-creative-02-158?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","asset_group","date","render_seconds","sample_count"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"asset_group":{"type":"string","default":"","maxLength":80},"sample_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"render_seconds":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","asset_group":"group-a","sample_count":1,"render_seconds":10},{"date":"2026-10-02","row_id":"row-2","asset_group":"group-b","sample_count":2,"render_seconds":20},{"date":"2026-10-03","row_id":"row-3","asset_group":"group-a","sample_count":3,"render_seconds":15},{"date":"2026-10-04","row_id":"row-4","asset_group":"group-b","sample_count":4,"render_seconds":30}],"maxItems":200,"minItems":1},"field":{"enum":["render_seconds","sample_count"],"type":"string","default":"render_seconds"}}},"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_n71bDpZ6x8vWAtQin5LBS","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 render job records by computing adjacent row changes and two-measure correlation between render_seconds and sample_count for up to 200 rows.","exampleAgentPrompt":"Can you analyze my render job data — I have up to 200 rows with date, asset group, render_seconds, and sample_count — and give me both a report on how render_seconds change between adjacent rows and the correlation between render_seconds and sample_count?","exampleUseCases":[{"title":"Render pipeline performance trend review","prompt":"I have 150 render job records with dates, asset groups, render_seconds, and sample_count. Can you run the adjacent row changes report on render_seconds so I can see how render time shifts between consecutive jobs?"},{"title":"Workload-to-render-time correlation check","prompt":"I want to know if there's a meaningful correlation between sample_count and render_seconds across my 80 render jobs. Can you compute the two-measure correlation report using my job data?"},{"title":"Asset group render anomaly detection","prompt":"Here are 200 rows of render job records with dates and asset groups — can you analyze adjacent row changes in render_seconds and also correlate render_seconds with sample_count so I can spot any outliers or unexpected patterns?"}],"resultDescription":"Two analytical reports derived from the supplied render job rows: (1) an adjacent row changes report showing delta values between consecutive rows for the chosen measure, and (2) a two-measure correlation report quantifying the statistical relationship between render_seconds and sample_count. No external lookups or predictions are made; all analysis is performed locally on the submitted data.","failureModes":["Missing required fields (row_id, date, render_seconds, sample_count) cause validation errors","Fewer than 1 row or more than 200 rows submitted returns an error","Invalid date format (not YYYY-MM-DD) rejected by schema","Numeric values outside ±1,000,000,000,000 range rejected","Non-numeric values in render_seconds or sample_count fields cause parsing failures","Payment of 0.01 USDC not fulfilled results in 402 response"],"whenToPreferThis":"Choose this endpoint when you have tabular render job records with render_seconds and sample_count and need both a sequential (adjacent row) delta analysis and a correlation analysis in a single cheap call. It is ideal for creative/media pipeline monitoring where you want to understand rendering workload trends and measure whether sample count drives render time, without needing real-time data or external predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:43:28.841Z","isFirstParty":false,"canonicalSlug":"render-jobs-adjacent-row-changes-two-measure-correlation-b1826047"}