{"uid":"cap_kaMS9OJhkjFLYAxPdbvqk","slug":"texture-baking-data-quality-suite-audit-string-normalisation-missing-b1c26780","name":"Texture Baking Data Quality Suite — Audit + String Normalisation + Missing-Value Fill","description":"Texture baking — Record quality audit + String normalisation + Explicit missing-value fill: Record quality audit + String normalisation + Explicit missing-value fill for supplied texture baking records (bake_seconds, texture_pixels). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-creative-10-208?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"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"}}},"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_JpIf4diuMUAsKT0H6nVH3","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 three data quality reports on texture baking records: a record quality audit, string normalisation, and explicit missing-value fill for up to 200 rows.","exampleAgentPrompt":"Can you audit the quality of these 50 texture baking rows, normalise the asset_group strings, and fill any missing bake_seconds values using the median method? I'll send you the records now.","exampleUseCases":[{"title":"Pre-pipeline texture data cleanup","prompt":"I have 120 texture baking records with messy asset_group names and some missing bake_seconds values — can you run the quality audit, normalise those strings, and fill missing bake_seconds using median imputation so the data is clean before I load it into the pipeline?"},{"title":"QA check on baked texture pixel data","prompt":"Run a full data quality audit plus string normalisation and fill in any missing texture_pixels values with zeros for these 80 texture baking records — I want to see all three reports."},{"title":"Batch validation for animation asset group","prompt":"I've got a batch of 200 texture baking records across multiple asset groups and I need to check for data quality issues, clean up any inconsistent string formatting, and replace missing bake_seconds with the mean. Can you process all three reports for me?"}],"resultDescription":"Three independent reports: (1) a record quality audit flagging issues across the submitted rows, (2) a string normalisation report showing cleaned asset_group and string fields, and (3) an explicit missing-value fill report showing imputed values for the chosen field (bake_seconds or texture_pixels) using the selected method (zero, mean, or median). All reports are based entirely on the supplied data with no external lookups.","failureModes":["Exceeding 200 rows causes rejection","Invalid date format (not YYYY-MM-DD) triggers validation error","Numeric values outside the allowed range cause schema rejection","Missing required fields (row_id, date, asset_group) cause row-level errors","Invalid enum values for method or field return a bad request error"],"whenToPreferThis":"Choose this endpoint when you need three combined data quality operations — audit, string normalisation, and missing-value fill — on texture baking records (bake_seconds, texture_pixels) in a single low-cost call. It is ideal for 3D graphics or creative production pipelines needing lightweight, offline data cleaning without any external API calls, ML predictions, or live lookups.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T00:48:45.997Z","isFirstParty":false,"canonicalSlug":"texture-baking-data-quality-suite-audit-string-normalisation-missing-b1c26780"}