{"uid":"cap_3Lwk6GXjerInw86SZo45W","slug":"texture-baking-analytics-exact-row-deduplication-two-measure-66edf5c9","name":"Texture Baking Analytics — Exact Row Deduplication + Two-Measure Correlation","description":"Texture baking — Exact row deduplication + Two-measure correlation: Exact row deduplication + 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-10-050?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}}},"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_Z6f0N9Gzh8ADTD2tZIX4p","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 and computes Pearson correlation between bake_seconds and texture_pixels for up to 200 supplied rows, returning two analytical reports.","exampleAgentPrompt":"I have a set of texture baking records with bake_seconds and texture_pixels columns — can you deduplicate exact duplicate rows and then run a correlation analysis between those two measures across all rows?","exampleUseCases":[{"title":"Clean duplicate bake logs before reporting","prompt":"I've got up to 200 texture baking log entries with dates, asset groups, bake_seconds, and texture_pixels, and I suspect there are exact duplicates — can you remove them and also tell me how bake time correlates with pixel count?"},{"title":"QA pipeline for 3D asset baking metrics","prompt":"As part of our QA step, deduplicate these texture baking records and compute the correlation between bake_seconds and texture_pixels so I can flag anomalies in the asset pipeline."},{"title":"Compare bake efficiency across asset groups","prompt":"Here are my texture baking results for groups A and B across the past week — strip any exact duplicate rows and run a two-measure correlation on bake_seconds vs texture_pixels so I can see if render time scales with pixel density."}],"resultDescription":"Returns two analytical reports: (1) an exact row deduplication report showing which rows were duplicates and the cleaned dataset, and (2) a correlation report quantifying the statistical relationship between bake_seconds and texture_pixels across the supplied (deduplicated) records. No external data is fetched; all analysis is performed on the submitted rows.","failureModes":["Empty or missing rows array returns a validation error","More than 200 rows submitted exceeds the row limit and is rejected","Rows missing required fields (row_id, date, bake_seconds, texture_pixels) fail schema validation","Date strings not matching YYYY-MM-DD pattern are rejected","All rows being duplicates may result in insufficient data for correlation","Both numeric fields being null for all rows prevents correlation computation"],"whenToPreferThis":"Choose this endpoint when you need a lightweight, low-cost ($0.01 USDC) self-contained analysis of texture baking records — specifically combining exact duplicate removal with a two-measure statistical correlation — without any external lookups, ML inference, or live data dependencies. Ideal for 3D production pipelines, game asset QA, or VFX workflows where you want to audit baking logs offline.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T18:52:25.697Z","isFirstParty":false,"canonicalSlug":"texture-baking-analytics-exact-row-deduplication-two-measure-66edf5c9"}