{"uid":"cap__AIRVtJIAU-whXZ5Dfmd8","slug":"texture-baking-analytics-iqr-outlier-flags-two-measure-correlation-e8cdb60c","name":"Texture Baking Analytics — IQR Outlier Flags + Two-Measure Correlation","description":"Texture baking — IQR outlier flags + Two-measure correlation: IQR outlier flags + 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-10-176?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_8B3io-96BVvF8LqkaoDmJ","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":"Runs IQR-based outlier detection and Pearson/Spearman correlation analysis on texture baking records (bake_seconds, texture_pixels) for up to 200 rows, returning two independent analytical reports.","exampleAgentPrompt":"Can you analyze this batch of texture baking records and flag any IQR outliers in bake_seconds, then also run a correlation between bake_seconds and texture_pixels across all rows? I have about 80 rows covering asset groups 'characters' and 'environments' from October 2026.","exampleUseCases":[{"title":"Outlier detection in rendering pipeline","prompt":"I have 150 rows of texture baking logs from our game studio — each row has a bake_seconds value and texture_pixels count. Can you flag which rows have outlier bake times using IQR, and also tell me how correlated bake duration is with texture size?"},{"title":"Asset group quality audit","prompt":"We ran a texture bake across two asset groups, 'props' and 'characters', last week and I want to know if any rows had unusually high or low bake_seconds (IQR outliers), and whether bake_seconds and texture_pixels are statistically correlated — send me both reports."},{"title":"Identifying anomalous texture data","prompt":"Can you take these 60 texture baking records with their bake_seconds and texture_pixels values and run an IQR outlier check on texture_pixels, plus compute the correlation between the two measures? I want to spot any suspicious data points before we archive the results."}],"resultDescription":"Returns two independent analytical reports: (1) IQR outlier flags identifying which rows have bake_seconds or texture_pixels values outside the interquartile range, and (2) a two-measure correlation report quantifying the statistical relationship between bake_seconds and texture_pixels across the supplied dataset.","failureModes":["Fewer than 1 row supplied — minimum 1 row required","More than 200 rows submitted — maxItems limit exceeded","Missing required fields (row_id, bake_seconds, texture_pixels) on any row","Invalid date format — must match YYYY-MM-DD pattern","Null values in both numeric measures may degrade correlation reliability","row_id exceeds 80-character maxLength"],"whenToPreferThis":"Choose this endpoint when you have up to 200 texture baking records and need both IQR-based outlier detection and two-measure correlation in a single low-cost call ($0.01 USDC). It is ideal for offline/batch statistical QA on 3D rendering pipeline data without requiring any external data sources or live lookups. Prefer alternatives if you need predictions, time-series forecasting, more than two measures, or more than 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-27T06:54:41.719Z","isFirstParty":false,"canonicalSlug":"texture-baking-analytics-iqr-outlier-flags-two-measure-correlation-e8cdb60c"}