{"uid":"cap_WEuLmbiVs1qEYpc00ejVk","slug":"texture-baking-analytics-weighted-mean-date-category-pivot-2eb5ac11","name":"Texture Baking Analytics — Weighted Mean & Date-Category Pivot","description":"Texture baking — Secondary-measure weighted mean + Date by category pivot: Secondary-measure weighted mean + Date by category pivot 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-10-185?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_dQ0KTHIM05VEsKx1AkCQd","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 secondary-measure weighted mean and a date-by-category pivot table for up to 200 texture baking records (bake_seconds, texture_pixels) using local analytical engines.","exampleAgentPrompt":"I have 4 texture baking records for group-a and group-b across dates 2026-10-01 to 2026-10-04, with bake_seconds values of 10, 20, 15, 30 and texture_pixels of 1, 2, 3, 4 — can you compute the weighted mean and a date-by-category pivot using bake_seconds as the primary field?","exampleUseCases":[{"title":"Bake time weighted average by asset group","prompt":"I've got 150 texture baking records with bake_seconds and texture_pixels per asset group and date — can you compute the weighted mean of bake_seconds (weighted by texture_pixels) and also pivot the results by date and category?"},{"title":"Date-category pivot for rendering pipeline audit","prompt":"We need to audit our rendering pipeline: here are 80 texture baking rows across several asset groups and dates. Please generate a date-by-category pivot table and a secondary-measure weighted mean report for bake_seconds."},{"title":"Texture pixel weighted analysis for art team","prompt":"Our art team captured texture baking data for 200 assets across group-a and group-b over two months. Can you pivot this by date and asset_group and also give us the weighted mean for texture_pixels?"}],"resultDescription":"Returns two analytical reports: (1) a secondary-measure weighted mean (e.g. bake_seconds weighted by texture_pixels, or vice versa) broken down by relevant groupings, and (2) a date-by-category pivot table showing how the chosen measure varies across asset_group categories and dates — all computed locally from the supplied rows without any external lookup.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Missing required fields (row_id, asset_group, date, bake_seconds, texture_pixels) — validation error","Invalid date format (must match YYYY-MM-DD pattern) — schema validation failure","Null values in both bake_seconds and texture_pixels for a row — weighted mean may be undefined","Invalid field enum value (must be 'bake_seconds' or 'texture_pixels') — rejected input","Payment failure via x402 protocol — call not processed"],"whenToPreferThis":"Choose this endpoint when you have up to 200 texture baking records with bake_seconds and texture_pixels fields and need both a weighted mean summary and a date-by-category pivot in a single low-cost call ($0.01 USDC). It is a purely local computation — no external APIs, no live data lookup — making it fast, deterministic, and suitable for offline or batch analytical workflows in 3D rendering or game asset pipelines.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T00:49:01.453Z","isFirstParty":false,"canonicalSlug":"texture-baking-analytics-weighted-mean-date-category-pivot-2eb5ac11"}