{"uid":"cap_AgsoMfBNHkkiIzcyHy5md","slug":"render-jobs-grouped-numeric-summary-and-daily-sum-series-fb2c90f8","name":"Render Jobs Grouped Numeric Summary and Daily Sum Series","description":"Render jobs — Grouped numeric summary + Daily sum series: Grouped numeric summary + Daily sum series 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-02-089?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_B2Yh9yJBn-ZJBNdlfQFnW","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":"Produces a grouped numeric summary and a daily sum time series for render job data (render_seconds and sample_count) across up to 200 rows.","exampleAgentPrompt":"Can you run a grouped numeric summary and daily sum series on my render job records — I have rows with asset groups like 'group-a' and 'group-b', dates from 2026-10-01 to 2026-10-04, and I want to analyze the render_seconds field?","exampleUseCases":[{"title":"Render farm cost analysis by asset group","prompt":"I have 150 render job records with dates, asset groups, and render_seconds values — can you give me a grouped numeric summary and a daily sum series so I can see which groups are consuming the most render time?"},{"title":"Daily sample count trend for QA review","prompt":"Run a daily sum series and grouped summary on my render job data using the sample_count field — I want to see how sample counts trend day by day and compare totals across my different asset groups."},{"title":"Post-project render performance audit","prompt":"Here are my render job logs from the past sprint — rows with row_id, asset_group, date, render_seconds, and sample_count for up to 200 jobs. Give me a grouped numeric summary and daily sum series on render_seconds so I can audit performance across asset groups."}],"resultDescription":"Two reports: (1) a grouped numeric summary breaking down the chosen metric (render_seconds or sample_count) by asset_group, and (2) a daily sum time series showing totals of the chosen metric per date. Both are computed locally from the supplied rows with no external data lookup.","failureModes":["Fewer than 1 row supplied — request rejected","More than 200 rows supplied — exceeds row limit","Missing required fields (row_id, asset_group, date, render_seconds, sample_count) — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Field enum value not 'render_seconds' or 'sample_count' — invalid input","Null numeric values may be excluded from aggregation silently"],"whenToPreferThis":"Choose this endpoint when you have render job tabular data (up to 200 rows) and need both a grouped breakdown by asset_group and a daily trend series for either render_seconds or sample_count in a single low-cost call. Ideal for post-hoc analytics on creative pipeline data without needing a full BI tool or live data connection.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:42:41.038Z","isFirstParty":false,"canonicalSlug":"render-jobs-grouped-numeric-summary-and-daily-sum-series-fb2c90f8"}