{"uid":"cap_S9xqarebmZAXfwByt-21t","slug":"mesh-budgets-record-quality-audit-string-normalisation-numeric-1839fe32","name":"Mesh Budgets — Record Quality Audit + String Normalisation + Numeric Distribution","description":"Mesh budgets — Record quality audit + String normalisation + Numeric distribution: Record quality audit + String normalisation + Numeric distribution 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-01-193?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},"field":{"enum":["triangle_count","vertex_count"],"type":"string","default":"triangle_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_YUOmTKU6YZBHOPgSgR1OA","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 three independent analytical reports (record quality audit, string normalisation, and numeric distribution) on supplied mesh budget records with triangle_count and vertex_count fields.","exampleAgentPrompt":"Run a data quality audit, string normalisation, and numeric distribution analysis on my mesh budget records for the 'characters' asset group — I have about 50 rows with triangle_count and vertex_count values and want all three reports at once.","exampleUseCases":[{"title":"Pre-pipeline mesh data validation","prompt":"Before I ingest these 120 mesh budget rows into our asset pipeline, can you run a full record quality audit and check the triangle_count distribution to flag anything weird or malformed?"},{"title":"Asset group string cleanup check","prompt":"My asset_group labels in this mesh budget dataset are a bit inconsistent — can you run the string normalisation report on these 80 rows so I can see what needs cleaning?"},{"title":"Vertex count distribution analysis","prompt":"Give me a numeric distribution report on the vertex_count field across all 60 rows of my mesh budget data so I can see the spread and spot any outliers before setting our LOD budgets."}],"resultDescription":"Three independent analytical reports returned together: (1) a record quality audit flagging missing, malformed, or out-of-range values across the supplied rows; (2) a string normalisation report identifying inconsistencies in text fields like asset_group; (3) a numeric distribution report summarising the statistical spread (min, max, mean, percentiles, outliers) of the selected numeric field (triangle_count or vertex_count). Covers up to 200 rows per call.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, date, asset_group, triangle_count, vertex_count) causes row-level rejection","Malformed date strings not matching YYYY-MM-DD pattern fail pattern validation","Payment not included or insufficient USDC causes 402 payment required response","Numeric values outside ±1,000,000,000,000 boundary are rejected"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of 3D mesh budget data (triangle_count, vertex_count) and need all three analytical passes — quality audit, string normalisation, and numeric distribution — bundled into a single low-cost call. It is ideal for pre-pipeline data hygiene checks on game or 3D asset datasets where no external lookup or prediction is needed, just local statistical analysis of your supplied records.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-31T06:49:57.637Z","isFirstParty":false,"canonicalSlug":"mesh-budgets-record-quality-audit-string-normalisation-numeric-1839fe32"}