{"uid":"cap_kU1-FzEib6b6JdToUfeHz","slug":"material-libraries-string-normalisation-numeric-row-ordering-c9c5eb97","name":"Material Libraries — String Normalisation + Numeric Row Ordering","description":"Material libraries — String normalisation + Numeric row ordering: String normalisation + Numeric row ordering 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-03-025?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_cQHb-LEQUxRub5V5urhwZ","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":"Normalises asset_group strings and orders rows numerically by material_count or texture_mb for up to 200 material library records, producing 2 analytical reports per call.","exampleAgentPrompt":"Can you normalise the asset_group strings and sort these material library rows by material_count? I have 4 records: row-1 (group-a, 2026-10-01, material_count=10, texture_mb=1), row-2 (group-b, 2026-10-02, material_count=20, texture_mb=2), row-3 (group-a, 2026-10-03, material_count=15, texture_mb=3), row-4 (group-b, 2026-10-04, material_count=30, texture_mb=4).","exampleUseCases":[{"title":"Rank game asset materials by count","prompt":"I have a list of 50 game asset material records with messy group names — can you normalise the asset_group strings and sort everything by material_count so I can see which groups have the most materials? Here are the rows with row_id, asset_group, date, material_count, and texture_mb for each."},{"title":"Sort texture library by file size","prompt":"Please clean up the asset_group labels in my texture library data and order all 120 rows by texture_mb so I can identify which material groups are consuming the most storage — I'll send you the full list of records."},{"title":"Prepare normalised material report for review","prompt":"I need two clean analytical reports on my material library — one with string-normalised asset group names and one with rows ordered numerically by material_count. I have around 80 rows, each with a row_id, asset_group, date, material_count, and texture_mb."}],"resultDescription":"Two analytical reports: one showing string-normalised asset_group values across the supplied rows, and one showing rows ordered numerically by the chosen field (material_count or texture_mb). Results are computed locally from the submitted data with no external lookups.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Missing required fields (row_id, asset_group, date, material_count, texture_mb) cause validation errors","Invalid date format (must be YYYY-MM-DD) triggers schema validation failure","Null numeric values may affect ordering output","Payment not processed in USDC results in no response"],"whenToPreferThis":"Choose this endpoint when you have up to 200 material library records and need both string normalisation of asset group labels and numeric row ordering by material_count or texture_mb in a single call. It is ideal for creative/3D asset pipeline workflows where clean, ranked material data is needed without external data lookups or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:42:47.057Z","isFirstParty":false,"canonicalSlug":"material-libraries-string-normalisation-numeric-row-ordering-c9c5eb97"}