{"uid":"cap_iujYnJVFj0LsidUzcY6BW","slug":"texture-baking-analytics-exact-row-deduplication-secondary-measure-d9e914ab","name":"Texture Baking Analytics — Exact Row Deduplication + Secondary-Measure Weighted Mean","description":"Texture baking — Exact row deduplication + Secondary-measure weighted mean: Exact row deduplication + 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-10-051?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_5xhYY5nyxB8jLbgY1VzS1","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":"Deduplicates texture baking records exactly by row and computes a secondary-measure weighted mean across bake_seconds and texture_pixels fields, returning two analytical reports.","exampleAgentPrompt":"I have up to 200 rows of texture baking records with row_id, asset_group, date, bake_seconds, and texture_pixels — can you deduplicate them exactly and give me a secondary-measure weighted mean report using bake_seconds as the primary field?","exampleUseCases":[{"title":"Clean and summarize baking job logs","prompt":"I've got a batch of texture baking job records across several asset groups — some rows are duplicated. Can you deduplicate them exactly and compute a weighted mean of bake_seconds using texture_pixels as the weight?"},{"title":"Asset group bake time analysis","prompt":"Here are 150 texture baking records from our latest render farm run, with row_id, asset_group, date, bake_seconds, and texture_pixels. Please deduplicate and give me the secondary-measure weighted mean report for texture_pixels."},{"title":"QA pipeline deduplication check","prompt":"We're auditing our texture pipeline output — can you run exact row deduplication on these baking records and produce two analytical reports including a weighted mean of bake_seconds across the asset groups?"}],"resultDescription":"Two analytical reports: (1) an exact-deduplicated version of the input rows (up to 200), and (2) a secondary-measure weighted mean computation over the specified field (bake_seconds or texture_pixels), all computed locally without external lookups.","failureModes":["Input exceeds 200 rows — request will be rejected","Missing required fields (row_id, date, bake_seconds, texture_pixels) cause validation errors","Invalid date format (not YYYY-MM-DD) causes schema rejection","Null values in numeric fields may affect weighted mean computation","Empty rows array returns an error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 texture baking records and need both exact duplicate removal and a weighted mean calculation across bake_seconds/texture_pixels in a single low-cost call. Ideal for 3D asset pipeline QA, render farm auditing, or summarizing baking job outputs without needing external prediction or live data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T18:56:28.964Z","isFirstParty":false,"canonicalSlug":"texture-baking-analytics-exact-row-deduplication-secondary-measure-d9e914ab"}