{"uid":"cap_c0_E0ou5mJsAHvGB_j2D-","slug":"render-jobs-category-frequencies-and-date-by-category-pivot-039a3bc6","name":"Render Jobs Category Frequencies and Date-by-Category Pivot","description":"Render jobs — Category frequencies + Date by category pivot: Category frequencies + 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-02-110?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_xhTN3nCzIuoUj3XAY-oXV","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 to produce two reports: category frequencies by asset group and a date-by-category pivot for render_seconds or sample_count metrics.","exampleAgentPrompt":"Can you analyze these render job records — rows with asset_group, date, render_seconds, and sample_count — and give me both a category frequency table by asset group and a date-by-category pivot on render_seconds? I have about 50 rows to send.","exampleUseCases":[{"title":"Render pipeline workload distribution audit","prompt":"I have 120 render job records with asset groups and dates. Can you break them down into a category frequency report showing how many jobs each asset group has, and also pivot render_seconds by date and asset group so I can see workload patterns over time?"},{"title":"Sample count pivot for studio scheduling","prompt":"Take these render job rows from our studio pipeline — each has a date, asset_group, and sample_count — and give me a frequency table of asset groups plus a pivot of sample_count by date and category so we can plan resource allocation."},{"title":"Post-production render time analysis","prompt":"I want to understand which asset groups are consuming the most render time in our post-production batch. Can you run a category frequency breakdown and a date-by-asset-group pivot on render_seconds for these 80 job records?"}],"resultDescription":"Returns two analytical reports: (1) a category frequencies table showing how often each asset_group appears in the submitted rows, and (2) a date-by-category pivot table aggregating the chosen metric (render_seconds or sample_count) across dates and asset groups. Both reports are computed locally from the supplied data, up to 200 rows.","failureModes":["Fewer than 1 row submitted — validation error","More than 200 rows submitted — exceeds limit","Missing required fields (row_id, asset_group, date, render_seconds, sample_count) — schema validation failure","Date field does not match YYYY-MM-DD pattern — format validation error","Invalid field enum value (not render_seconds or sample_count) — rejected","Payment of 0.01 USDC not fulfilled — 402 response"],"whenToPreferThis":"Choose this endpoint when you have up to 200 render job records with asset_group and date fields and need both a frequency distribution across categories and a pivot table of a numeric metric (render_seconds or sample_count) by date and category — all in a single $0.01 call. Prefer this over general analytics tools when your data is already structured in the required schema and you want two complementary offline reports without external lookups or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T18:57:01.302Z","isFirstParty":false,"canonicalSlug":"render-jobs-category-frequencies-and-date-by-category-pivot-039a3bc6"}