{"uid":"cap_Gk3OYo7kLaCvlNhsaRvDF","slug":"material-libraries-string-normalisation-numeric-distribution-bbec7f4a","name":"Material Libraries — String Normalisation + Numeric Distribution","description":"Material libraries — String normalisation + Numeric distribution: String normalisation + Numeric distribution 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-03-022?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_FvE7G6tZkMy5pIjO2aHPY","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 string normalisation and numeric distribution analysis on material library records (material_count, texture_mb) for up to 200 rows, producing two independent analytical reports.","exampleAgentPrompt":"Can you normalize the asset_group strings and give me a numeric distribution report for material_count across these material library records? I have about 50 rows with fields like row_id, asset_group, date, material_count, and texture_mb.","exampleUseCases":[{"title":"Auditing material count spread across asset groups","prompt":"I've got 120 rows of material library data with asset_group names and material_count values — can you normalize those group name strings and show me a numeric distribution of material counts so I can spot outliers?"},{"title":"Analyzing texture size distribution for a project","prompt":"Here are my material library records for the current project, up to 150 rows. Please normalize the asset_group strings and run a numeric distribution report on texture_mb so I can see how our texture sizes are spread out."},{"title":"Cleaning creative asset metadata before pipeline handoff","prompt":"Before I hand off these material library records to the render pipeline, can you normalize the asset_group string field and give me a distribution breakdown of material_count across all 80 rows?"}],"resultDescription":"Returns two independent analytical reports: (1) a string normalisation report on the asset_group field, and (2) a numeric distribution report on the selected numeric field (material_count or texture_mb), both computed locally against the supplied rows (up to 200).","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, asset_group, date, material_count, texture_mb) causes rejection","Invalid date format (not YYYY-MM-DD) fails schema validation","Numeric values outside the allowed range cause schema rejection","Empty rows array is not accepted (minItems: 1)"],"whenToPreferThis":"Choose this endpoint when you need both string normalisation of categorical/string fields and numeric distribution analysis on material library data in a single call for up to 200 rows, without requiring any external data lookup, live enrichment, or professional assessment. Ideal for 3D production pipelines auditing asset metadata before handoff.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-31T06:48:55.595Z","isFirstParty":false,"canonicalSlug":"material-libraries-string-normalisation-numeric-distribution-bbec7f4a"}