{"uid":"cap_2gkCGUbOsGa0vgqlbXaxN","slug":"render-jobs-numeric-row-ordering-secondary-measure-weighted-mean-dabd4853","name":"Render Jobs Numeric Row Ordering + Secondary-Measure Weighted Mean","description":"Render jobs — Numeric row ordering + Secondary-measure weighted mean: Numeric row ordering + Secondary-measure weighted mean 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-02-121?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_v9QVtTValChM51kzJPhSK","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":"Ranks render job rows by a numeric field and computes a secondary-measure weighted mean for up to 200 supplied render job records (render_seconds, sample_count).","exampleAgentPrompt":"I have a list of render jobs with dates, asset groups, render_seconds, and sample_count — can you rank them numerically by render_seconds and also compute the sample_count-weighted mean of render_seconds across all rows? Here are up to 200 rows.","exampleUseCases":[{"title":"Rank render jobs by render time","prompt":"I have 150 render job records with render_seconds and sample_count values. Can you sort them numerically by render_seconds and also give me the sample_count-weighted mean of render_seconds so I know the weighted average render time across the whole batch?"},{"title":"Identify slow asset groups by weighted render cost","prompt":"Here are our render job logs for October — each row has an asset_group, date, render_seconds, and sample_count. Please order the rows by sample_count and compute the render_seconds weighted mean using sample_count as the weight, so I can see which jobs are most expensive on average."},{"title":"Audit render pipeline performance across two metrics","prompt":"I need two reports on this set of render job records: first, rank all rows numerically by render_seconds, and second, give me the weighted mean of sample_count using render_seconds as the weight. There are about 80 rows covering multiple asset groups and dates."}],"resultDescription":"Returns two analytical reports computed locally from the supplied data: (1) the input rows ordered numerically by the specified field (render_seconds or sample_count), and (2) a weighted mean of the secondary measure using the primary measure as weights. No external lookups or predictions are included.","failureModes":["More than 200 rows submitted — request exceeds row limit and will be rejected","Missing required fields (row_id, date, asset_group, render_seconds, or sample_count) on any row — validation error","Invalid date format (must be YYYY-MM-DD) — schema validation failure","Null values in both render_seconds and sample_count may produce undefined weighted mean results","Invalid field enum value (must be 'render_seconds' or 'sample_count') — rejected request"],"whenToPreferThis":"Choose this endpoint when you have up to 200 render job records and need both a numeric row ordering and a weighted mean computed from the same dataset in a single call. It is ideal for render pipeline analytics where you want to rank jobs by one metric and compute a weighted average of a secondary metric without setting up your own analytics infrastructure. Prefer this over general-purpose data tools when you want a fast, cheap ($0.01 USDC), self-contained computation on supplied data with no external dependencies.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T00:49:15.434Z","isFirstParty":false,"canonicalSlug":"render-jobs-numeric-row-ordering-secondary-measure-weighted-mean-dabd4853"}