{"uid":"cap_VfDcxcP1znrE52x3PH4Iu","slug":"render-jobs-numeric-interval-filter-secondary-measure-weighted-mean-0fd0279e","name":"Render Jobs Numeric Interval Filter + Secondary-Measure Weighted Mean","description":"Render jobs — Numeric interval filter + Secondary-measure weighted mean: Numeric interval filter + 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-02-132?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"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_rq1nH0tLL16XeBiaodBW0","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":"Filters render job records by a numeric interval on one measure and computes a secondary-measure weighted mean, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"I have a list of render job records with render_seconds and sample_count — can you filter to jobs where render_seconds is between 10 and 100, then compute the weighted mean of sample_count across those filtered rows? I've got about 50 rows to analyze.","exampleUseCases":[{"title":"Studio render pipeline performance review","prompt":"Here are our render job records for October — each has a row_id, asset_group, date, render_seconds, and sample_count. Filter to jobs where render_seconds is between 20 and 200 and give me the weighted mean of sample_count across those jobs."},{"title":"Outlier exclusion for sample-count averaging","prompt":"I want to exclude abnormal jobs from my analysis — can you filter my render job rows to only those with sample_count between 1 and 50, then compute the weighted mean of render_seconds for that filtered set? I'm sending 120 rows."},{"title":"Asset group quality assessment","prompt":"Take these 80 render job records and filter them to where render_seconds falls between 5 and 60, then give me the secondary-measure weighted mean for sample_count — I need both analytical reports to review performance across asset groups."}],"resultDescription":"Returns two analytical reports: (1) the subset of supplied render job rows whose chosen field value falls within the specified [minimum, maximum] interval, and (2) the weighted mean of the secondary numeric measure across those filtered rows — both computed locally without external lookup.","failureModes":["Fewer than 1 row supplied — request rejected","More than 200 rows supplied — exceeds limit","Invalid date format in any row — schema validation failure","null values in render_seconds or sample_count may affect weighted mean calculation","minimum greater than maximum — may return empty filter result","field enum value not one of render_seconds or sample_count — schema rejection"],"whenToPreferThis":"Choose this endpoint when you have up to 200 render job records with render_seconds and sample_count fields and need both an interval-filtered subset and a weighted mean of the secondary measure in a single call. Ideal for creative pipeline analytics where you want to exclude out-of-range jobs before computing averages, without relying on external data sources or live lookups.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:43:37.342Z","isFirstParty":false,"canonicalSlug":"render-jobs-numeric-interval-filter-secondary-measure-weighted-mean-0fd0279e"}