{"uid":"cap_dcqZMXzycKmy_LjkTtAWq","slug":"material-libraries-data-quality-audit-string-normalisation-numeric-4e9b6b45","name":"Material Libraries Data Quality Audit, String Normalisation & Numeric Row Ordering","description":"Material libraries — Record quality audit + String normalisation + Numeric row ordering: Record quality audit + String normalisation + Numeric row ordering 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-03-196?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"}}},"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_lIrFb-pc55sirB6cRg2zz","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":"Audits record quality, normalises strings, and orders rows numerically for supplied material library records containing material_count and texture_mb fields — up to 200 rows, 3 independent reports per call.","exampleAgentPrompt":"Can you audit the quality of my material library records, normalise the asset group strings, and sort everything by material_count? Here are up to 200 rows with fields: row_id, asset_group, date, material_count, and texture_mb.","exampleUseCases":[{"title":"Game asset pipeline data hygiene","prompt":"I have a dataset of 3D material library entries — each row has a row_id, asset_group, date, material_count, and texture_mb. Can you run a quality audit, normalise the asset_group strings, and order the rows by material_count for me?"},{"title":"Texture budget anomaly detection","prompt":"We're reviewing our texture memory usage across asset groups. Can you audit these material library records for data quality issues and sort them by texture_mb so I can spot outliers?"},{"title":"Pre-export material record validation","prompt":"Before we export our material library to the engine, I need to check for bad or missing values in our records and get normalised asset group labels. Here are about 150 rows with material_count and texture_mb — can you run all three reports?"}],"resultDescription":"Three independent analytical reports per call: (1) a record quality audit flagging issues such as missing, null, or out-of-range values in material_count and texture_mb; (2) a string normalisation report for asset_group and other text fields; and (3) a numerically ordered row listing sorted by the selected field (material_count or texture_mb). No external lookups or predictions are made — all analysis is performed locally on the supplied data.","failureModes":["Rows array exceeds 200 items — request rejected","Missing required fields (row_id, asset_group, date, material_count, texture_mb) on any row — validation error","Invalid date format (must match YYYY-MM-DD pattern) — schema rejection","Field selector not one of 'material_count' or 'texture_mb' — enum validation failure","Empty rows array — minimum items constraint violation","Non-numeric values provided for material_count or texture_mb when not null — type error"],"whenToPreferThis":"Choose this endpoint when you have tabular material library records (with material_count and texture_mb fields) and need all three of: data quality auditing, string normalisation, and numeric ordering in a single low-cost call. It is purpose-built for 3D/game asset material data and processes up to 200 rows entirely from supplied data without any external lookups, making it suitable for offline or pre-export data hygiene pipelines.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T00:49:16.491Z","isFirstParty":false,"canonicalSlug":"material-libraries-data-quality-audit-string-normalisation-numeric-4e9b6b45"}