{"uid":"cap_QuVsjBbXRsJ3LdMdP4ydD","slug":"texture-baking-analytics-numeric-distribution-secondary-measure-3a86b456","name":"Texture Baking Analytics — Numeric Distribution + Secondary-Measure Weighted Mean","description":"Texture baking — Numeric distribution + Secondary-measure weighted mean: Numeric distribution + 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-10-082?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_vpLpZ4IeKC7gTbLn9OLev","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 a secondary-measure weighted mean for up to 200 texture baking records (bake_seconds, texture_pixels) using local analytical engines.","exampleAgentPrompt":"Can you run a numeric distribution report and secondary-measure weighted mean on my texture baking records — I have about 50 rows with bake_seconds and texture_pixels for two asset groups, and I want the analysis on the bake_seconds field?","exampleUseCases":[{"title":"Bake time distribution for asset pipeline","prompt":"I have 120 rows of texture baking job data with bake_seconds and texture_pixels split across several asset groups — can you compute the numeric distribution of bake_seconds and the weighted mean using texture_pixels as the secondary measure?"},{"title":"QA check on texture render durations","prompt":"We ran a batch of texture bakes and recorded the results in a table with bake_seconds and texture_pixels for each row. Can you generate a distribution report and a weighted mean on bake_seconds so we can spot outliers before signing off?"},{"title":"Comparing bake performance across asset groups","prompt":"I've got baking records for two asset groups over the past week — about 80 rows with bake_seconds and texture_pixels. Can you analyze the numeric distribution of texture_pixels and compute a secondary-measure weighted mean so I can compare group performance?"}],"resultDescription":"Returns two analytical reports for the supplied texture baking records: (1) a numeric distribution report for the selected field (bake_seconds or texture_pixels), and (2) a secondary-measure weighted mean computed from the same dataset. Both reports are generated locally with no external lookups.","failureModes":["More than 200 rows submitted — exceeds maximum row limit","Missing required fields (row_id, asset_group, date, bake_seconds, texture_pixels) in any row","Invalid date format (must be YYYY-MM-DD)","Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000)","Invalid field enum value (must be 'bake_seconds' or 'texture_pixels')","Empty rows array"],"whenToPreferThis":"Choose this endpoint when you have texture baking pipeline data (bake_seconds, texture_pixels) and need both a numeric distribution report and a weighted mean statistic in a single low-cost call. It is ideal for offline/local analysis of up to 200 rows without needing external data lookups, predictions, or live data enrichment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T00:49:22.418Z","isFirstParty":false,"canonicalSlug":"texture-baking-analytics-numeric-distribution-secondary-measure-3a86b456"}