{"uid":"cap_nk3uO7iTDNLe_2D1EwSa5","slug":"texture-baking-analytics-numeric-distribution-two-measure-correlation-e20d7554","name":"Texture Baking Analytics — Numeric Distribution + Two-Measure Correlation","description":"Texture baking — Numeric distribution + Two-measure correlation: Numeric distribution + Two-measure correlation 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-10-081?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_csUpKuUxxtp9_HvJ6oEdp","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 numeric distribution statistics and two-measure correlation analysis for texture baking records (bake_seconds and texture_pixels) on up to 200 supplied rows.","exampleAgentPrompt":"I have 150 texture baking records with bake_seconds and texture_pixels columns — can you run both a numeric distribution report on bake_seconds and a correlation analysis between bake_seconds and texture_pixels across all rows?","exampleUseCases":[{"title":"Analyzing bake time distribution for asset pipeline","prompt":"Here are 80 texture baking records from last quarter — can you compute the numeric distribution of bake_seconds and also show me the correlation between bake_seconds and texture_pixels so I can spot outliers in our rendering pipeline?"},{"title":"Comparing texture quality vs render duration","prompt":"I want to know if longer bake times actually produce more texture pixels — run a distribution and two-measure correlation report on these 120 baking job records using bake_seconds as the field."},{"title":"QA report on texture baking across asset groups","prompt":"We have texture baking data across two asset groups, about 60 rows total, with bake_seconds and texture_pixels per job — can you generate the numeric distribution and correlation analysis so we can put it in our QA report?"}],"resultDescription":"Returns two analytical reports: (1) a numeric distribution report showing statistical spread and frequency breakdown for the selected field (bake_seconds or texture_pixels), and (2) a two-measure correlation report quantifying the relationship between bake_seconds and texture_pixels across the supplied rows (up to 200).","failureModes":["More than 200 rows submitted — request rejected or truncated","Missing required fields (row_id, bake_seconds, texture_pixels) — validation error","Invalid date format not matching YYYY-MM-DD pattern — schema rejection","Null values in both numeric fields may reduce correlation reliability","Invalid field enum value — rejected with schema error"],"whenToPreferThis":"Choose this endpoint when you have texture baking records with bake_seconds and texture_pixels fields and need both a distribution summary and a correlation between those two measures in a single low-cost call. It is purpose-built for 3D rendering / texture pipeline analytics on small-to-medium datasets (up to 200 rows) and delivers two reports for $0.01 USDC, making it ideal for quick QA checks or pipeline diagnostics without any external data lookups or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-27T00:44:15.626Z","isFirstParty":false,"canonicalSlug":"texture-baking-analytics-numeric-distribution-two-measure-correlation-e20d7554"}