{"uid":"cap_xk8PgTKD7Bb9o5Mnw5JSS","slug":"texture-baking-record-quality-audit-iqr-outlier-flags-7b63e654","name":"Texture Baking Record Quality Audit + IQR Outlier Flags","description":"Texture baking — Record quality audit + IQR outlier flags: Record quality audit + IQR outlier flags 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-10-014?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_g8N1PCk90k1mc7TPUVyRa","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 a data quality audit and IQR-based outlier detection on up to 200 texture baking records (bake_seconds and texture_pixels), returning two independent analytical reports.","exampleAgentPrompt":"Can you audit this batch of texture baking records for data quality issues and flag any IQR outliers in the bake_seconds field? I have about 50 rows with row_id, asset_group, date, bake_seconds, and texture_pixels.","exampleUseCases":[{"title":"QA sweep on baking pipeline logs","prompt":"I've got 120 texture baking job records from last month with bake_seconds and texture_pixels columns — can you run a quality audit and flag any IQR outliers in the bake_seconds field so I can spot broken jobs?"},{"title":"Detect anomalous texture resolutions","prompt":"Please check these 80 texture baking records for data quality problems and find any IQR outliers in the texture_pixels field — I want to catch any assets that rendered at the wrong resolution."},{"title":"Pre-delivery asset data validation","prompt":"Before I hand off this dataset of 200 texture baking records to the client, can you do a quality audit and IQR outlier check on the bake_seconds values to make sure there's nothing weird in there?"}],"resultDescription":"Two independent reports per call: (1) a record-level data quality audit identifying missing, null, or malformed values across the supplied rows, and (2) IQR-based outlier flags identifying which rows contain statistically anomalous values in the selected field (bake_seconds or texture_pixels). Results are derived entirely from the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — exceeds per-call row limit","Missing required fields (row_id, date, bake_seconds, texture_pixels) cause validation errors","Invalid date format (must be YYYY-MM-DD) triggers schema rejection","Numeric values outside the allowed range (-1e12 to 1e12) cause rejection","Empty rows array returns an error","Payment not fulfilled results in 402 response"],"whenToPreferThis":"Choose this endpoint when you have texture baking pipeline records (bake_seconds, texture_pixels) and need both a data quality audit and IQR outlier detection in a single call at low cost. It is purpose-built for 3D asset production workflows and requires no external data — ideal for validating batches up to 200 rows before downstream processing or client delivery.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T00:49:00.083Z","isFirstParty":false,"canonicalSlug":"texture-baking-record-quality-audit-iqr-outlier-flags-7b63e654"}