{"uid":"cap_Q3mSet0PNzgHd4f9KLnsW","slug":"texture-baking-analytics-numeric-distribution-date-by-category-pivot-3a976daa","name":"Texture Baking Analytics — Numeric Distribution + Date by Category Pivot","description":"Texture baking — Numeric distribution + Date by category pivot: Numeric distribution + 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-10-083?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_cmanMUcMg94g0xiT3oWMf","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 date-by-category pivot table for up to 200 texture baking records (bake_seconds or texture_pixels fields).","exampleAgentPrompt":"Can you run a numeric distribution and date-by-category pivot on these texture baking records — analyzing bake_seconds — for my four asset groups across October 2026? I have up to 200 rows with row IDs, asset_group labels, dates, bake_seconds, and texture_pixels values.","exampleUseCases":[{"title":"Bake time distribution for render farm","prompt":"I have 150 texture baking job records with row IDs, asset groups, dates, and bake_seconds values — can you give me a numeric distribution of the bake_seconds and also pivot the data by date and asset group so I can see how bake times vary across categories?"},{"title":"Texture pixel spread across asset groups","prompt":"Analyze the distribution of texture_pixels across my baking dataset and show me a date-by-category breakdown — I've got about 80 rows covering groups like characters, environments, and props across the past month."},{"title":"Creative pipeline QA for texture jobs","prompt":"I need to QA my texture baking pipeline — can you run a numeric distribution plus a date-by-category pivot on my bake_seconds data for these 60 records so I can spot outliers or irregular patterns by asset group over time?"}],"resultDescription":"Returns two analytical reports: (1) a numeric distribution of the selected field (bake_seconds or texture_pixels) showing spread, frequency, and statistical breakdown; and (2) a date-by-category pivot table grouping values by asset_group and date. Both reports are derived from the supplied rows using local analytical engines — no external data is fetched.","failureModes":["Rows array is empty or missing — minimum 1 row required","More than 200 rows submitted — maxItems limit exceeded","Invalid date format in any row — must match YYYY-MM-DD pattern","Null values in bake_seconds or texture_pixels may affect distribution accuracy","Invalid field selector — must be either 'bake_seconds' or 'texture_pixels'","Missing required row fields (row_id, asset_group, date, bake_seconds, texture_pixels) causes schema validation failure"],"whenToPreferThis":"Choose this endpoint when you have texture baking records and need both a numeric distribution and a date-by-category pivot in a single call at low cost ($0.01 USDC for both reports). It is ideal for 3D rendering pipeline analytics, creative asset QA, or production reporting where data is already collected and you need fast offline statistical summaries without external lookups or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-27T00:44:23.062Z","isFirstParty":false,"canonicalSlug":"texture-baking-analytics-numeric-distribution-date-by-category-pivot-3a976daa"}