{"uid":"cap_1uB6aOaXb0WViJHmU4Dwk","slug":"render-jobs-grouped-numeric-summary-with-weighted-mean-a3ac08dc","name":"Render Jobs Grouped Numeric Summary with Weighted Mean","description":"Render jobs — Grouped numeric summary + Secondary-measure weighted mean: Grouped numeric summary + 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-02-096?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_mmWa4TGMiG1pB1MceYvbR","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 a grouped numeric summary and secondary-measure weighted mean for up to 200 render job records across render_seconds and sample_count fields.","exampleAgentPrompt":"Can you summarize these render job records by asset group — I need a grouped numeric summary plus a weighted mean for render_seconds using sample_count as the weight? Here are my rows: row-1 on 2026-10-01 group-a with render_seconds=10 and sample_count=1, row-2 on 2026-10-02 group-b with render_seconds=20 and sample_count=2, row-3 on 2026-10-03 group-a with render_seconds=15 and sample_count=3.","exampleUseCases":[{"title":"Render farm performance by asset group","prompt":"I have 150 render job records from our farm with asset groups like 'scene-exterior' and 'scene-interior' — can you group them and give me a numeric summary of render_seconds, plus a weighted mean using sample_count as the weight?"},{"title":"Comparing render throughput across production batches","prompt":"Here are our render job logs for October, broken into two production groups. Can you compute grouped statistics on sample_count for each group, including a weighted mean using render_seconds as the secondary measure?"},{"title":"QA check on render time distribution by studio unit","prompt":"I need a grouped numeric summary of these 80 render job entries across studio units A through D — summarize render_seconds and give me the weighted mean per group so I can spot which units are running slow."}],"resultDescription":"Returns two reports: (1) a grouped numeric summary of the selected field (render_seconds or sample_count) broken down by asset_group, including stats like count, mean, min, max, and std; and (2) a weighted mean of the selected field using the other measure as the weight, also grouped. Both reports cover up to 200 input rows and are computed locally without external lookups.","failureModes":["Missing required fields (row_id, asset_group, date, render_seconds, sample_count) cause validation errors","More than 200 rows submitted exceeds the maxItems limit and will be rejected","Invalid date format (not YYYY-MM-DD) causes schema validation failure","Null values in both render_seconds and sample_count may produce undefined weighted mean results","Submitting an empty rows array returns an error due to minItems:1 constraint"],"whenToPreferThis":"Choose this endpoint when you have render job data organized by asset group and need both a grouped descriptive summary and a weighted mean for render time or sample count in a single low-cost call ($0.01 USDC for 2 reports). Ideal for small-to-medium datasets (up to 200 rows) where you want offline/local analytics without connecting to a live database or prediction service.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:43:12.992Z","isFirstParty":false,"canonicalSlug":"render-jobs-grouped-numeric-summary-with-weighted-mean-a3ac08dc"}