{"uid":"cap_gpnIpLt-O3xYFCiGJr3SW","slug":"render-jobs-grouped-numeric-summary-and-two-measure-correlation-3c9280c2","name":"Render Jobs Grouped Numeric Summary and Two-Measure Correlation","description":"Render jobs — Grouped numeric summary + Two-measure correlation: Grouped numeric summary + 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-02-095?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_51ckDIXjOnEobk-oCZ_GZ","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 a grouped numeric summary and a two-measure correlation report for up to 200 render job records across render_seconds and sample_count fields.","exampleAgentPrompt":"Can you run a grouped numeric summary and correlation analysis on my render job data? I have rows with asset_group, date, render_seconds, and sample_count — group them by asset_group and correlate render_seconds against sample_count for up to 200 rows.","exampleUseCases":[{"title":"Studio render pipeline performance review","prompt":"I have render job logs from our studio pipeline — each row has a row_id, asset_group, date, render_seconds, and sample_count. Can you summarize render_seconds grouped by asset_group and also show me how render_seconds and sample_count correlate across all jobs?"},{"title":"Comparing render workload across scene groups","prompt":"We have two asset groups, group-a and group-b, and I want to know the grouped stats for sample_count by group and whether sample_count is correlated with render_seconds in our latest batch of up to 200 render jobs."},{"title":"Quality assurance check on render farm output","prompt":"Here's our render farm output for October — rows with render_seconds and sample_count per asset group. Please give me a grouped numeric summary of render_seconds by asset_group and a two-measure correlation report between render_seconds and sample_count."}],"resultDescription":"Returns two independent analytical reports: (1) a grouped numeric summary of the selected numeric field (render_seconds or sample_count) broken down by asset_group, and (2) a two-measure correlation analysis between render_seconds and sample_count across the supplied rows. Both reports are computed locally from the provided data with no external lookups.","failureModes":["Input array exceeds 200 rows — rejected with validation error","Missing required fields (row_id, asset_group, date, render_seconds, sample_count) on any row causes rejection","Invalid date format (not YYYY-MM-DD) causes schema validation failure","All null values for a numeric field may produce undefined or degenerate correlation results","Fewer than 2 rows may produce statistically meaningless correlation output","Payment of 0.01 USDC not fulfilled via x402 protocol causes 402 response"],"whenToPreferThis":"Choose this endpoint when you have tabular render job data (up to 200 rows) and need both a grouped descriptive summary and a pairwise correlation between render_seconds and sample_count in a single low-cost call. It is ideal for media production pipelines, render farm analytics, or any workflow where you want offline statistical analysis without sending data to an external prediction or ML service.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:43:39.803Z","isFirstParty":false,"canonicalSlug":"render-jobs-grouped-numeric-summary-and-two-measure-correlation-3c9280c2"}