{"uid":"cap_FWzEqxUqjujjHCOuNDcpK","slug":"render-jobs-numeric-distribution-secondary-measure-weighted-mean-7eccfc8f","name":"Render Jobs Numeric Distribution & Secondary-Measure Weighted Mean","description":"Render jobs — Numeric distribution + Secondary-measure weighted mean: Numeric distribution + 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-02-082?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_XlxRli9wTd_AoUwL9Lb1l","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 numeric distribution report and a sample_count-weighted mean for up to 200 render job records, returning two analytical reports for render_seconds or sample_count.","exampleAgentPrompt":"Analyze these render job records and give me both the numeric distribution of render_seconds and the sample_count-weighted mean — I have 4 rows: row-1 on 2026-10-01 group-a with 10 render seconds and 1 sample, row-2 on 2026-10-02 group-b with 20 render seconds and 2 samples, row-3 on 2026-10-03 group-a with 15 render seconds and 3 samples, row-4 on 2026-10-04 group-b with 30 render seconds and 4 samples.","exampleUseCases":[{"title":"Render farm performance audit","prompt":"I have 50 render job records from last month across two asset groups — can you compute the numeric distribution of render_seconds and the sample_count-weighted mean so I can see how rendering time is spread out and which jobs are pulling the average up?"},{"title":"Animation studio throughput analysis","prompt":"We ran 120 render jobs this quarter across groups like 'hero-assets' and 'background-assets' — analyze the distribution of render_seconds weighted by sample_count so we can identify where we're spending the most compute time."},{"title":"Comparing render efficiency by asset group","prompt":"Can you take these 80 rows of render job data with dates, render_seconds, and sample_counts and give me a numeric distribution report plus a weighted mean for sample_count, so I can compare efficiency across our asset groups?"}],"resultDescription":"Returns two analytical reports: (1) a numeric distribution breakdown of the selected field (render_seconds or sample_count) across up to 200 supplied rows, and (2) a secondary-measure weighted mean where sample_count weights the primary metric. No external data is fetched; all analysis runs on the submitted rows.","failureModes":["Missing required fields (row_id, date, render_seconds, sample_count) cause validation errors","Submitting more than 200 rows exceeds the row limit and may be rejected","Invalid date format (not YYYY-MM-DD) fails pattern validation","Null values in numeric fields may affect distribution and weighted mean calculations","Invalid field enum value (not 'render_seconds' or 'sample_count') returns an error"],"whenToPreferThis":"Choose this endpoint when you have render job tabular data (up to 200 rows) and need both a numeric distribution and a weighted mean in a single cost-efficient call ($0.01 USDC for two reports). It is ideal for offline/batch statistical analysis of rendering performance without requiring a live data connection, prediction, or external lookup.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:43:13.805Z","isFirstParty":false,"canonicalSlug":"render-jobs-numeric-distribution-secondary-measure-weighted-mean-7eccfc8f"}