{"uid":"cap_6BTZ6R1HBN8CStw9MJwSf","slug":"material-libraries-string-normalisation-and-exact-row-deduplication-8419cdb9","name":"Material Libraries String Normalisation and Exact Row Deduplication","description":"Material libraries — String normalisation + Exact row deduplication: String normalisation + Exact row deduplication 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-03-020?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_iZIWw_H5CEcuGQroVmdoD","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 strings and identifies exact duplicate rows in supplied material library records (material_count, texture_mb) across up to 200 rows, returning 2 analytical reports.","exampleAgentPrompt":"Can you clean up my material library records — normalise the strings and find any exact duplicate rows? I have 4 rows with fields like asset_group, date, material_count, and texture_mb.","exampleUseCases":[{"title":"Game asset library deduplication audit","prompt":"I have a list of 50 material library records for our game, each with an asset_group, date, material_count, and texture_mb value — can you normalise the strings and flag any exact duplicate rows so we can clean up our asset database?"},{"title":"3D texture dataset cleanup before pipeline import","prompt":"Before I import this batch of 120 material records into our render pipeline, can you run string normalisation and exact row deduplication on the data? Each row has a row_id, asset_group, date, material_count, and texture_mb."},{"title":"Material count data quality check for reporting","prompt":"We're preparing a materials usage report and I want to make sure our 85 rows of material_count and texture_mb data don't have any dirty strings or exact duplicate entries — can you normalise and deduplicate them?"}],"resultDescription":"Returns 2 analytical reports: one covering string normalisation results (standardised field values for asset_group and other string fields) and one covering exact row deduplication results (identified duplicate row_ids and deduplicated dataset), all computed locally against the supplied rows with no external lookups.","failureModes":["More than 200 rows submitted — endpoint rejects payloads exceeding the maxItems limit","Missing required fields (row_id, asset_group, date, material_count, texture_mb) cause row-level validation errors","Malformed date strings not matching YYYY-MM-DD pattern are rejected","Numeric fields outside the allowed range trigger schema validation errors","Empty rows array (minItems: 1 violated) returns an error"],"whenToPreferThis":"Choose this endpoint when you need a lightweight, low-cost ($0.01 USDC) local analytical pass over up to 200 material library records to both normalise string fields and detect exact duplicate rows in a single call. Prefer it over general-purpose data cleaning tools when your data specifically involves creative asset fields (material_count, texture_mb, asset_group) and you want two structured reports from a single API call without any external data lookups or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T18:57:30.860Z","isFirstParty":false,"canonicalSlug":"material-libraries-string-normalisation-and-exact-row-deduplication-8419cdb9"}