{"uid":"cap_sg6tX7kbYORCDSdksvsp9","slug":"render-jobs-category-frequencies-secondary-measure-weighted-mean-fbb9bc57","name":"Render Jobs — Category Frequencies + Secondary-Measure Weighted Mean","description":"Render jobs — Category frequencies + Secondary-measure weighted mean: Category frequencies + 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-02-109?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_DvowUoPmSPF1FzSm6t5Dt","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":"Computes category frequency distributions and a secondary-measure weighted mean for up to 200 render job records (render_seconds, sample_count).","exampleAgentPrompt":"Can you analyze these render job records — I have rows with asset_group, render_seconds, and sample_count — and give me both the frequency of each asset group category and the weighted mean of render_seconds weighted by sample_count? Here are up to 200 rows.","exampleUseCases":[{"title":"Render pipeline audit by asset group","prompt":"I have a CSV of render jobs from last quarter with columns row_id, asset_group, date, render_seconds, and sample_count — can you tell me how frequently each asset group appears and what the sample-count-weighted mean render time is for render_seconds?"},{"title":"Identifying heavy-cost render categories","prompt":"Here are 150 render job records. I want to know which asset groups dominate our render queue by count, and also what the weighted average render duration is using sample_count as the weight — use render_seconds as the field."},{"title":"Daily render workload summary for ops review","prompt":"Can you take these render job rows — each with a date, asset_group, render_seconds, and sample_count — and produce a category frequency report plus a weighted mean of sample_count so I can present a workload summary to my ops team?"}],"resultDescription":"Two analytical reports: (1) a frequency count of each category value in the asset_group field, and (2) a weighted mean of the selected numeric measure (render_seconds or sample_count) weighted by the complementary measure — both computed locally on the supplied rows, with no external lookups.","failureModes":["Missing required fields (row_id, asset_group, date, render_seconds, sample_count) cause validation errors","Submitting more than 200 rows exceeds the row limit","Invalid date format (not YYYY-MM-DD) fails pattern validation","Null values in both numeric fields may produce undefined weighted mean","Payment not included or insufficient USDC causes payment-required rejection"],"whenToPreferThis":"Choose this endpoint when you have tabular render job data (up to 200 rows) and need both a category frequency distribution over asset groups and a weighted mean of a numeric measure in a single low-cost call. It is ideal for lightweight, offline analytical summaries of rendering pipeline data without requiring a full analytics platform.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:42:57.055Z","isFirstParty":false,"canonicalSlug":"render-jobs-category-frequencies-secondary-measure-weighted-mean-fbb9bc57"}