{"uid":"cap_tqQ4Ll-Qx_3TQgzFJxtKW","slug":"material-libraries-string-normalisation-and-two-measure-correlation-84aeb736","name":"Material Libraries String Normalisation and Two-Measure Correlation","description":"Material libraries — String normalisation + Two-measure correlation: String normalisation + Two-measure correlation for supplied material libraries records (material_count, texture_mb). 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-03-033?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}}},"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_BwgkxrpLTYWQvQFle5U-i","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":"Performs string normalisation and two-measure correlation analysis on material library records (material_count, texture_mb) for up to 200 rows, returning two independent analytical reports.","exampleAgentPrompt":"Can you analyse my material library records and run string normalisation plus a two-measure correlation between material_count and texture_mb? I have about 50 rows across two asset groups (group-a and group-b) from October 2026.","exampleUseCases":[{"title":"Game asset library quality check","prompt":"I have a list of 120 game asset records with fields like asset_group, date, material_count, and texture_mb — can you normalise the string fields and tell me how correlated material count is with texture file size?"},{"title":"3D content pipeline analysis","prompt":"For our 3D content pipeline, can you take these 80 rows of material library data and run a correlation analysis between the number of materials and texture megabytes, plus normalise the group name strings?"},{"title":"Monthly material usage reporting","prompt":"Here are 200 rows of material library entries from last month across our asset groups — please normalise the string data and produce two reports showing the correlation between material_count and texture_mb."}],"resultDescription":"Returns two independent analytical reports: (1) a string normalisation report cleaning asset_group and other string fields, and (2) a two-measure correlation report showing the statistical relationship between material_count and texture_mb across the supplied rows. All computation is local with no external lookups.","failureModes":["Row count exceeds 200 items — request rejected","Missing required fields (row_id, asset_group, date, material_count, texture_mb) cause validation error","Invalid date format (must be YYYY-MM-DD) triggers schema validation failure","Null values in both numeric measures may reduce correlation reliability","Payment failure or insufficient USDC balance blocks processing"],"whenToPreferThis":"Choose this endpoint when you have tabular material library data with string fields and two numeric measures (material_count, texture_mb) and need both string normalisation and correlation analysis in a single low-cost call. Ideal for 3D asset pipelines, game development teams, or content management workflows needing lightweight local analytics on up to 200 rows without external data access or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T00:49:28.663Z","isFirstParty":false,"canonicalSlug":"material-libraries-string-normalisation-and-two-measure-correlation-84aeb736"}