{"uid":"cap_fFMu0DI4ouyEufIE_ghMt","slug":"texture-baking-analytics-category-frequencies-weighted-mean-b03512e1","name":"Texture Baking Analytics — Category Frequencies + Weighted Mean","description":"Texture baking — Category frequencies + Secondary-measure weighted mean: Category frequencies + Secondary-measure weighted mean for supplied texture baking records (bake_seconds, texture_pixels). 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-10-109?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","asset_group","date","bake_seconds","texture_pixels"],"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},"bake_seconds":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"texture_pixels":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","asset_group":"group-a","bake_seconds":10,"texture_pixels":1},{"date":"2026-10-02","row_id":"row-2","asset_group":"group-b","bake_seconds":20,"texture_pixels":2},{"date":"2026-10-03","row_id":"row-3","asset_group":"group-a","bake_seconds":15,"texture_pixels":3},{"date":"2026-10-04","row_id":"row-4","asset_group":"group-b","bake_seconds":30,"texture_pixels":4}],"maxItems":200,"minItems":1},"field":{"enum":["bake_seconds","texture_pixels"],"type":"string","default":"bake_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_GbdhzLSX9D5Yj47ptE3jM","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 frequencies and secondary-measure weighted mean for texture baking records (bake_seconds, texture_pixels) across up to 200 rows, returning two independent analytical reports.","exampleAgentPrompt":"Analyze my texture baking records and give me the category frequencies by asset group plus the weighted mean of bake_seconds — here are my rows: row-1, group-a, 2026-10-01, 10 seconds, 1024 pixels; row-2, group-b, 2026-10-02, 20 seconds, 2048 pixels; row-3, group-a, 2026-10-03, 15 seconds, 512 pixels.","exampleUseCases":[{"title":"Asset group bake time breakdown","prompt":"I have 50 texture baking jobs across two asset groups — can you calculate how often each group appears and what the weighted average bake_seconds is? Here are the rows with row IDs, dates, asset_group, bake_seconds, and texture_pixels."},{"title":"Pixel resolution distribution by category","prompt":"Run a frequency count on the asset groups in my texture baking dataset and compute the weighted mean of texture_pixels — I want to see which groups dominate and what the typical pixel count looks like weighted by occurrences."},{"title":"Render pipeline QA summary","prompt":"For our render pipeline QA, can you take these 120 texture baking records and produce category frequencies for asset_group plus the weighted mean of bake_seconds so we can spot which groups are taking the most time?"}],"resultDescription":"Two independent analytical reports: (1) category frequency counts for each distinct asset_group found in the submitted rows, and (2) a secondary-measure weighted mean for the selected field (bake_seconds or texture_pixels) aggregated across the dataset — all computed locally from the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — request exceeds row limit","Missing required fields (row_id, asset_group, date, bake_seconds, texture_pixels) — validation error","Invalid date format (must be YYYY-MM-DD) — schema rejection","Numeric values outside allowed range (±1,000,000,000,000) — validation error","Empty rows array — minimum 1 row required"],"whenToPreferThis":"Choose this endpoint when you have texture baking pipeline data (bake_seconds, texture_pixels) and need both a categorical frequency breakdown by asset group and a weighted mean of a numeric measure in a single call, without needing external predictions or live lookups. Ideal for 3D asset pipeline analysis, render farm audits, or QA summaries where datasets are 200 rows or fewer.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T00:49:26.215Z","isFirstParty":false,"canonicalSlug":"texture-baking-analytics-category-frequencies-weighted-mean-b03512e1"}