{"uid":"cap_6Kw-VO4_k9V20rm7O7Zpo","slug":"texture-baking-data-quality-suite-record-audit-string-normalisation-98827c83","name":"Texture Baking Data Quality Suite — Record Audit + String Normalisation + IQR Outlier Flags","description":"Texture baking — Record quality audit + String normalisation + IQR outlier flags: Record quality audit + String normalisation + IQR outlier flags 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-10-203?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_fBLzzqYeaa-19g3-W4gNE","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 local analytical reports on texture baking records: a record quality audit, string normalisation, and IQR-based outlier flagging for bake_seconds and texture_pixels fields.","exampleAgentPrompt":"Can you run the full data quality check on these texture baking records — I need the record quality audit, string normalisation, and IQR outlier flags for bake_seconds — here are up to 200 rows with row_id, asset_group, date, bake_seconds, and texture_pixels.","exampleUseCases":[{"title":"Pre-pipeline texture bake data validation","prompt":"I have a batch of texture baking logs with up to 150 rows — each has a row_id, asset_group, date, bake_seconds, and texture_pixels. Can you audit them for record quality issues, normalise the asset_group strings, and flag any IQR outliers in bake_seconds?"},{"title":"QA audit for texture rendering anomalies","prompt":"My rendering team exported 80 texture baking records and I suspect there are outlier bake times messing up our estimates. Run the three-report quality suite on these rows and flag anything outside the IQR range for texture_pixels."},{"title":"Data cleaning before asset group reporting","prompt":"Before I roll these texture baking records into our weekly report, can you normalise the string fields and do a record quality audit on all 200 rows? Also flag any IQR outliers in bake_seconds so I know which rows to investigate."}],"resultDescription":"Returns three independent analytical reports for the submitted texture baking rows: (1) a record quality audit identifying missing, malformed, or invalid fields; (2) normalised string representations of text fields such as asset_group; (3) IQR-based outlier flags indicating which rows have anomalous values in the selected numeric field (bake_seconds or texture_pixels). All analysis is performed locally with no external lookups.","failureModes":["Submitting more than 200 rows returns an error (maxItems constraint)","Missing required fields (row_id, asset_group, date, bake_seconds, texture_pixels) causes validation failure","Invalid date format (non-YYYY-MM-DD) triggers schema rejection","Null values in both numeric fields may reduce usefulness of IQR outlier report","Selecting an invalid field enum value causes request rejection"],"whenToPreferThis":"Choose this endpoint when you have texture baking tabular data (up to 200 rows) and need all three of: record quality auditing, string normalisation, and IQR outlier detection in a single low-cost call. It is purpose-built for the 3D graphics / texture baking domain and combines three reports for $0.01 USDC, making it efficient versus calling separate data-quality services. Prefer it when no live lookup or ML prediction is needed — purely local analytical processing of supplied records.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T00:49:21.392Z","isFirstParty":false,"canonicalSlug":"texture-baking-data-quality-suite-record-audit-string-normalisation-98827c83"}