{"uid":"cap_Sz1fT0_JYWQIs_Vkc3HlA","slug":"texture-baking-analytics-category-frequencies-date-by-category-pivot-17fae0a4","name":"Texture Baking Analytics — Category Frequencies + Date by Category Pivot","description":"Texture baking — Category frequencies + Date by category pivot: Category frequencies + 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-10-110?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_JUEsxfxmR1EPDfzkKOs4U","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 two analytical reports on texture baking data: category frequency counts and a date-by-category pivot table, for up to 200 supplied rows.","exampleAgentPrompt":"Analyze my texture baking records and give me both a category frequency breakdown and a date-by-category pivot for bake_seconds — here are my 12 rows covering asset groups 'chars', 'envs', and 'props' from October 2026.","exampleUseCases":[{"title":"Pipeline throughput by asset group","prompt":"I have 80 texture baking job records from last month with asset groups 'characters', 'environments', and 'props' — can you give me a frequency count of how often each group appears and a pivot of bake_seconds by date and group?"},{"title":"Texture resolution audit over time","prompt":"Run an analysis on these 150 texture baking rows using texture_pixels as the measure — I want to see category frequencies across asset groups and a date-by-category breakdown to spot trends week by week."},{"title":"Studio bake time reporting","prompt":"We finished a project with 60 render jobs across three asset groups; can you compute category frequencies and a date-by-asset-group pivot on bake_seconds so I can put together a studio performance report?"}],"resultDescription":"Returns two independent analytical reports: (1) a category frequency table showing how many records fall into each asset_group, and (2) a date-by-category pivot table summarizing the chosen measure (bake_seconds or texture_pixels) broken down by date and asset_group — all computed locally from the supplied rows with no external lookups.","failureModes":["Input array exceeds 200 rows — request will be rejected","Missing required fields (row_id, asset_group, date, bake_seconds, texture_pixels) on any row causes validation failure","Date field not matching YYYY-MM-DD pattern causes schema error","Numeric fields outside ±1,000,000,000,000 range rejected","Empty rows array (minItems: 1) not accepted","Invalid field enum value (must be 'bake_seconds' or 'texture_pixels') causes error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 texture baking records with asset_group and date dimensions and need both a category frequency summary and a date-pivoted breakdown in a single $0.01 call. It is ideal for 3D production pipelines, render farm reporting, or studio analytics where you need two complementary views of baking workload data without any external data enrichment or prediction.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T18:56:54.446Z","isFirstParty":false,"canonicalSlug":"texture-baking-analytics-category-frequencies-date-by-category-pivot-17fae0a4"}