{"uid":"cap_vhE0SqzzlR6GwkKxa2QKj","slug":"material-libraries-data-quality-audit-record-quality-audit-string-5e195448","name":"Material Libraries Data Quality Audit: Record Quality Audit + String Normalisation + Explicit Missing-Value Fill","description":"Material libraries — Record quality audit + String normalisation + Explicit missing-value fill: Record quality audit + String normalisation + Explicit missing-value fill for supplied material libraries records (material_count, texture_mb). 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-03-208?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","asset_group","date","material_count","texture_mb"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"texture_mb":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"asset_group":{"type":"string","default":"","maxLength":80},"material_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","texture_mb":1,"asset_group":"group-a","material_count":10},{"date":"2026-10-02","row_id":"row-2","texture_mb":2,"asset_group":"group-b","material_count":20},{"date":"2026-10-03","row_id":"row-3","texture_mb":3,"asset_group":"group-a","material_count":15},{"date":"2026-10-04","row_id":"row-4","texture_mb":4,"asset_group":"group-b","material_count":30}],"maxItems":200,"minItems":1},"field":{"enum":["material_count","texture_mb"],"type":"string","default":"material_count"},"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_6zqdGAeHQ2CXAdxduxZnC","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 analytical reports on material library records — a record quality audit, string normalisation, and explicit missing-value fill — for up to 200 rows of material_count and texture_mb data.","exampleAgentPrompt":"Can you run a quality audit, string normalisation, and missing-value fill (using median) on my material library records — here are up to 200 rows with row_id, asset_group, date, material_count, and texture_mb fields — and give me all three reports?","exampleUseCases":[{"title":"Audit game asset material library","prompt":"I have a list of up to 150 game asset records with material_count and texture_mb values — can you run a full quality audit, normalise the asset_group strings, and fill any missing material_count values using the median? Here are the rows."},{"title":"Clean missing texture sizes in 3D library","prompt":"My 3D material library export has some null texture_mb entries. Can you run the record quality audit, string normalisation, and fill those missing texture_mb values using zero for up to 200 rows I'll give you?"},{"title":"Validate material records before pipeline import","prompt":"Before I import these material library rows into our pipeline, can you audit them for quality issues, normalise the strings, and fill any missing material_count fields using the mean? I've got about 80 rows ready."}],"resultDescription":"Returns three independent analytical reports: (1) a record quality audit flagging data issues in the supplied rows, (2) a string normalisation report for text fields such as asset_group, and (3) an explicit missing-value fill report for the specified numeric field (material_count or texture_mb) using the chosen fill method (zero, mean, or median). All reports are computed locally with no external lookups.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Invalid date format (must be YYYY-MM-DD) — validation error","Unrecognised fill method enum value — schema validation error","Numeric field values outside acceptable range — schema rejection","Empty rows array — minimum 1 row required","Missing required fields (row_id, asset_group, date) — schema validation error"],"whenToPreferThis":"Choose this endpoint when you need a combined data quality audit, string normalisation, and missing-value fill on material library records (material_count, texture_mb) in a single low-cost call. It is ideal for creative/3D production pipelines where asset data needs cleaning before downstream processing, and where no live external lookup or predictive model is needed — just fast, local analytical reports on up to 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T00:49:10.656Z","isFirstParty":false,"canonicalSlug":"material-libraries-data-quality-audit-record-quality-audit-string-5e195448"}