{"uid":"cap_khTOYa3God1Uzg__DGfSH","slug":"render-jobs-numeric-row-ordering-trailing-mean-series-60587b90","name":"Render Jobs Numeric Row Ordering + Trailing Mean Series","description":"Render jobs — Numeric row ordering + Trailing mean series: Numeric row ordering + Trailing mean 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-02-115?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"},"window":{"type":"integer","default":2,"maximum":200,"minimum":2}}},"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_wSpbELRq_ZTPm38we5_-j","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 sorting rows numerically and computing a trailing moving-average series over render_seconds or sample_count, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"Can you rank my render job rows numerically by render_seconds and also compute a trailing mean series with a window of 3, using this data: row-1 group-a 2026-10-01 render_seconds=10 sample_count=1, row-2 group-b 2026-10-02 render_seconds=20 sample_count=2, row-3 group-a 2026-10-03 render_seconds=15 sample_count=3?","exampleUseCases":[{"title":"Render pipeline performance trending","prompt":"I have 50 render job records with dates, asset groups, render_seconds, and sample counts — can you sort them numerically by render_seconds and give me a trailing mean series with a window of 5 so I can spot performance trends?"},{"title":"Sample count ranking for asset groups","prompt":"Take my 30 render job rows and rank them by sample_count numerically, then compute a rolling average of sample_count with a window of 4 — I want to see which asset groups are consistently high volume."},{"title":"Post-production batch render audit","prompt":"Here are 100 render job records from last month's batch — can you do a numeric row ordering and a trailing mean series on render_seconds with a window of 10? I need both reports to audit rendering efficiency across the pipeline."}],"resultDescription":"Returns two analytical reports: (1) a numeric row ordering of the supplied render job rows ranked by the selected field (render_seconds or sample_count), and (2) a trailing moving-average series computed over the chosen field with the specified window size. Both reports operate on the supplied data locally with no external lookups.","failureModes":["Fewer than 1 row supplied — request rejected","More than 200 rows supplied — exceeds maximum row limit","Window size larger than number of rows — trailing mean series may be undefined or empty","Invalid date format (not YYYY-MM-DD) — schema validation error","Missing required fields (row_id, render_seconds, sample_count) — request rejected","Invalid field enum value (not render_seconds or sample_count) — schema validation error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 render job records and need both a numeric ordering of rows and a rolling/trailing mean time series in a single API call for $0.01 USDC. It is ideal for creative production pipelines where you want to rank jobs by render time or sample count and simultaneously identify moving-average trends, without any external data lookups or live predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T00:48:52.222Z","isFirstParty":false,"canonicalSlug":"render-jobs-numeric-row-ordering-trailing-mean-series-60587b90"}