{"uid":"cap_wxkwECDyFHGsS7cceCYNK","slug":"render-jobs-analytics-numeric-distribution-date-by-category-pivot-debe0d56","name":"Render Jobs Analytics: Numeric Distribution + Date-by-Category Pivot","description":"Render jobs — Numeric distribution + Date by category pivot: Numeric distribution + Date by category pivot 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-02-083?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_h4lA1H9MzSGwfSk-rX0A6","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":"Runs two local analytical reports on supplied render job records — a numeric distribution (histogram/stats) and a date-by-category pivot — for up to 200 rows of render_seconds or sample_count data.","exampleAgentPrompt":"I have up to 200 render job records with asset groups, dates, render_seconds, and sample_counts — can you run a numeric distribution report and a date-by-category pivot on the render_seconds field so I can see how render times are spread across groups and dates?","exampleUseCases":[{"title":"Render time distribution for pipeline audit","prompt":"Here are 150 render job records with dates, asset_group labels, and render_seconds values — can you give me a numeric distribution of render_seconds and also pivot those times by date and asset group so I can spot where the slowdowns are?"},{"title":"Sample count pivot for budget planning","prompt":"I've got render job data for two asset groups across the past month — please run a numeric distribution and date-by-category pivot on the sample_count field so I can see how sampling load breaks down over time per group."},{"title":"Creative team QA on render batch","prompt":"Our studio just finished a render batch — I'll supply the row data with render_seconds and sample_count per job. Can you produce a numeric distribution and a date-pivot by asset_group for render_seconds, so we can QA the results before sign-off?"}],"resultDescription":"Returns two analytical reports: (1) a numeric distribution (e.g. histogram bins, min, max, mean, percentiles) for the chosen field (render_seconds or sample_count), and (2) a date-by-category pivot table aggregating values by date and asset_group — all computed locally from the supplied rows, no external lookups.","failureModes":["More than 200 rows submitted — request rejected or truncated","Missing required fields (row_id, asset_group, date, render_seconds, sample_count) cause validation errors","Date format not matching YYYY-MM-DD pattern causes rejection","Invalid field enum value (not render_seconds or sample_count) causes error","All numeric values null — distribution report may be empty or degenerate","Fewer than 1 row provided — rejected by minItems constraint"],"whenToPreferThis":"Choose this endpoint when you have up to 200 render job records and need both a numeric distribution AND a date-by-category pivot in a single low-cost call ($0.01 USDC). It is ideal for creative/3D pipeline analytics where render_seconds and sample_count are the key metrics, and no live data lookup or external enrichment is needed — pure local analysis on supplied data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:43:36.606Z","isFirstParty":false,"canonicalSlug":"render-jobs-analytics-numeric-distribution-date-by-category-pivot-debe0d56"}