{"uid":"cap_i1ZpKdm9w2NtAnXUhYw5c","slug":"mesh-budgets-record-quality-audit-string-normalisation-category-886c652b","name":"Mesh Budgets — Record Quality Audit + String Normalisation + Category Frequencies","description":"Mesh budgets — Record quality audit + String normalisation + Category frequencies: Record quality audit + String normalisation + Category frequencies for supplied mesh budgets records (triangle_count, vertex_count). 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-01-195?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","asset_group","date","triangle_count","vertex_count"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"asset_group":{"type":"string","default":"","maxLength":80},"vertex_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"triangle_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","asset_group":"group-a","vertex_count":1,"triangle_count":10},{"date":"2026-10-02","row_id":"row-2","asset_group":"group-b","vertex_count":2,"triangle_count":20},{"date":"2026-10-03","row_id":"row-3","asset_group":"group-a","vertex_count":3,"triangle_count":15},{"date":"2026-10-04","row_id":"row-4","asset_group":"group-b","vertex_count":4,"triangle_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_6nfxmGXDEWKbgkiMkmaW2","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 computes category frequencies for up to 200 mesh budget rows (triangle_count, vertex_count) in three independent analytical reports.","exampleAgentPrompt":"Can you run a full data quality audit, string normalisation, and category frequency analysis on my mesh budget records? I have about 50 rows with fields like row_id, asset_group, date, triangle_count, and vertex_count — for example row-1 in group-a on 2026-10-01 with 1500 vertices and 3000 triangles.","exampleUseCases":[{"title":"3D asset pipeline quality check","prompt":"I've got a batch of 120 mesh budget records from our asset pipeline — each has a row ID, asset group, date, triangle count, and vertex count. Can you audit them for record quality issues, normalise the asset group strings, and tell me the frequency of each category?"},{"title":"Game studio mesh budget review","prompt":"We're reviewing our mesh budgets for a game project. I have 80 rows with triangle and vertex counts grouped by asset_group. Can you run a quality audit on the records, normalise any inconsistent group name strings, and show me how often each asset group appears?"},{"title":"Monthly 3D content inventory analysis","prompt":"Here are 200 mesh budget rows from our monthly 3D content inventory — each row has a date, asset group, triangle count, and vertex count. Please check the data quality, clean up the string fields, and give me a breakdown of category frequencies by asset group."}],"resultDescription":"Three analytical reports: (1) a record quality audit flagging completeness and validity issues per row, (2) normalised string representations of categorical fields like asset_group, and (3) frequency counts for each category/asset group across the supplied rows. All analysis is local with no external lookups.","failureModes":["Submitting more than 200 rows causes rejection — keep batch size at or below the 200-row limit","Missing required fields (row_id, asset_group, date, triangle_count, vertex_count) causes validation errors","Malformed dates not matching YYYY-MM-DD pattern will fail schema validation","Extremely large numeric values (beyond ±1,000,000,000,000) are rejected","Empty rows array is rejected — at least 1 row is required"],"whenToPreferThis":"Choose this endpoint when you have mesh budget data (triangle_count and vertex_count per asset group) and need three bundled analytical reports — quality audit, string normalisation, and category frequencies — in a single low-cost call. It is ideal for 3D asset pipelines, game development budgeting workflows, or any scenario where you want to validate and summarise supplied data offline without live lookups or external predictions. Best suited for batches up to 200 rows per call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-27T00:44:40.487Z","isFirstParty":false,"canonicalSlug":"mesh-budgets-record-quality-audit-string-normalisation-category-886c652b"}