{"uid":"cap_--15qqrTdKfhkF1MU-D_S","slug":"render-jobs-daily-sum-series-date-by-category-pivot-d69273c0","name":"Render Jobs Daily Sum Series + Date by Category Pivot","description":"Render jobs — Daily sum series + Date by category pivot: Daily sum series + 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-02-143?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_zjFMZ44xCjNCVQmq6IPLr","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 a daily sum time series and a date-by-category pivot table for render_seconds or sample_count metrics, using local analytical engines on up to 200 supplied rows.","exampleAgentPrompt":"Can you analyze these render job records and give me a daily sum series plus a date-by-category pivot for render_seconds? I have 4 rows: row-1 on 2026-10-01 for group-a with render_seconds=10 and sample_count=1, row-2 on 2026-10-02 for group-b with render_seconds=20 and sample_count=2, row-3 on 2026-10-03 for group-a with render_seconds=15 and sample_count=3, and row-4 on 2026-10-04 for group-b with render_seconds=30 and sample_count=4.","exampleUseCases":[{"title":"Render pipeline daily workload review","prompt":"I have 50 render job records from last month across asset groups like 'vfx', 'compositing', and 'animation' — can you give me a daily sum series and a date-by-category pivot for render_seconds so I can see where the heaviest rendering days were?"},{"title":"Sample count trends across asset groups","prompt":"Can you aggregate these 120 render job rows by date and asset group and give me both a daily total time series and a pivot table, but using sample_count as the metric instead of render_seconds?"},{"title":"Comparing render load between two production groups","prompt":"I want to compare how 'group-a' and 'group-b' contributed to our render workload over the past two weeks — here are 80 job records, please give me the daily sum series and the date-by-category breakdown for render_seconds."}],"resultDescription":"Two analytical reports: (1) a daily sum time series showing the total of the selected metric (render_seconds or sample_count) aggregated per date, and (2) a date-by-category pivot table showing the selected metric broken down by date and asset_group. Both reports are computed locally on the supplied rows using shared analytical engines.","failureModes":["Fewer than 1 row or more than 200 rows submitted — rejected by schema validation","Missing required fields (row_id, asset_group, date, render_seconds, sample_count) on any row — validation error","Invalid date format (not YYYY-MM-DD) — pattern validation failure","Numeric values outside allowed range (±1,000,000,000,000) — schema rejection","Invalid field enum value (not 'render_seconds' or 'sample_count') — rejected","Payment not attached or insufficient — x402 payment required error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 render job records and need both a daily aggregate time series and a date-by-category pivot in a single low-cost call ($0.01 USDC). It is ideal for creative/media pipeline analytics where you want to understand rendering workload patterns over time and across asset groups without setting up a full BI tool. Prefer this over generic analytics services when your data fits the render job schema (render_seconds, sample_count, asset_group, date) and you want two complementary reports in one request.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:43:46.151Z","isFirstParty":false,"canonicalSlug":"render-jobs-daily-sum-series-date-by-category-pivot-d69273c0"}