{"uid":"cap_ed4CWgTczgHMekhIuPVEw","slug":"render-jobs-analytics-numeric-row-ordering-daily-sum-series-49b58d74","name":"Render Jobs Analytics: Numeric Row Ordering + Daily Sum Series","description":"Render jobs — Numeric row ordering + Daily sum series: Numeric row ordering + 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-02-114?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_1kqls9ihG15m1EZdyGywo","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 by computing numeric row ordering and daily sum series for render_seconds or sample_count fields across up to 200 rows.","exampleAgentPrompt":"Analyze my render job data — here are 4 rows with dates from 2026-10-01 to 2026-10-04, asset groups 'group-a' and 'group-b', and render_seconds values of 10, 20, 15, and 30 — give me both a numeric row ordering and a daily sum series for render_seconds.","exampleUseCases":[{"title":"Ranking render jobs by duration","prompt":"I have a list of 50 render job records with dates, asset groups, and render_seconds values — can you rank them numerically by render_seconds and also show me how the daily totals add up over time?"},{"title":"Daily sample count aggregation for pipeline review","prompt":"Here are 120 rows of render job data from October. Can you compute the numeric row ordering and daily sum series for the sample_count field so I can see which days had the heaviest sampling load?"},{"title":"Asset group performance summary","prompt":"I've got render job records across two asset groups over the past two weeks — can you run both the row ordering and daily sum series reports on the render_seconds field so I can compare performance trends across groups?"}],"resultDescription":"Returns two reports: (1) a numeric row ordering that ranks each supplied render job row by the selected metric field, and (2) a daily sum series that aggregates the selected metric (render_seconds or sample_count) by date. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — exceeds maximum row limit","Missing required fields (row_id, date, render_seconds, sample_count) on any row — validation error","Date values not matching YYYY-MM-DD pattern — schema validation failure","Field selector not one of 'render_seconds' or 'sample_count' — invalid enum value","Payment not included or insufficient — x402 payment required error"],"whenToPreferThis":"Choose this endpoint when you need both a ranked row ordering and a daily time-series aggregation for render job data in a single call. It is best suited for creative/media production pipelines where you want to compare job-level performance rankings alongside day-over-day totals without needing external data enrichment or live lookups.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T00:49:17.623Z","isFirstParty":false,"canonicalSlug":"render-jobs-analytics-numeric-row-ordering-daily-sum-series-49b58d74"}