{"uid":"cap_aXS9RCI3zIvvPvORdJBTL","slug":"render-jobs-two-measure-correlation-and-secondary-measure-weighted-mean-0b729cb8","name":"Render Jobs Two-Measure Correlation and Secondary-Measure Weighted Mean","description":"Render jobs — Two-measure correlation + Secondary-measure weighted mean: Two-measure correlation + Secondary-measure weighted mean 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-02-181?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_rEin-G6ZyyLHLBlwjbqcE","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":"Computes Pearson correlation between render_seconds and sample_count, plus a weighted mean of the secondary measure, for up to 200 supplied render job records.","exampleAgentPrompt":"Run a two-measure correlation between render_seconds and sample_count plus a weighted mean of sample_count for these render job records — I have 4 rows from October 2026 across asset groups group-a and group-b, with render_seconds as the primary field.","exampleUseCases":[{"title":"Render farm performance correlation","prompt":"I have 150 render job records from last month with render_seconds and sample_count per job — can you compute the correlation between those two measures and give me the weighted mean of sample_count weighted by render_seconds?"},{"title":"Asset group render efficiency check","prompt":"For my two asset groups alpha and beta, I've got 80 rows of render job data with dates, render times in seconds, and sample counts. Run both the two-measure correlation and the secondary weighted mean report on them so I can see if heavier samples are taking longer to render."},{"title":"Creative pipeline analytics snapshot","prompt":"Here are 200 rows from our creative render pipeline — each has a row ID, asset group, date, render_seconds, and sample_count. Give me the correlation between render_seconds and sample_count and the weighted mean of sample_count for the whole batch."}],"resultDescription":"Returns two analytical reports: (1) a Pearson or equivalent correlation coefficient between render_seconds and sample_count across all supplied rows, and (2) a weighted mean of the secondary measure (e.g. sample_count weighted by render_seconds), both computed locally on the supplied data without any external lookup or prediction.","failureModes":["Fewer than 1 row supplied — request rejected","More than 200 rows supplied — request rejected","Missing required fields (row_id, date, render_seconds, sample_count) — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Null values in both measures may affect correlation computation","Field enum value not one of render_seconds or sample_count — rejected"],"whenToPreferThis":"Choose this endpoint when you have up to 200 render job records and need both a bivariate correlation and a weighted mean statistic in a single low-cost call ($0.01 USDC). Ideal for creative pipeline analytics where render duration and sample volume are the two key metrics. Prefer over general statistics APIs when you want a bundled two-report output on render-domain data without setting up infrastructure.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T18:56:30.532Z","isFirstParty":false,"canonicalSlug":"render-jobs-two-measure-correlation-and-secondary-measure-weighted-mean-0b729cb8"}