{"uid":"cap_LLzM3_vjuVFEnDUP9X3PJ","slug":"scene-geometry-record-quality-audit-iqr-outlier-flags-f61e3d7d","name":"Scene Geometry Record Quality Audit + IQR Outlier Flags","description":"Scene geometry — Record quality audit + IQR outlier flags: Record quality audit + IQR outlier flags for supplied scene geometry records (object_count, triangle_count). 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-05-014?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","asset_group","date","object_count","triangle_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},"object_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","object_count":10,"triangle_count":1},{"date":"2026-10-02","row_id":"row-2","asset_group":"group-b","object_count":20,"triangle_count":2},{"date":"2026-10-03","row_id":"row-3","asset_group":"group-a","object_count":15,"triangle_count":3},{"date":"2026-10-04","row_id":"row-4","asset_group":"group-b","object_count":30,"triangle_count":4}],"maxItems":200,"minItems":1},"field":{"enum":["object_count","triangle_count"],"type":"string","default":"object_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_dF32d2Fa70nuXxktdppfk","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 quality and flags IQR-based outliers for scene geometry records containing object_count and triangle_count metrics, returning two independent analytical reports for up to 200 rows.","exampleAgentPrompt":"Can you run a quality audit and IQR outlier check on my scene geometry data? I have rows with row IDs like 'row-1' through 'row-50', asset groups 'characters' and 'environments', dates in October 2026, and I want to check the object_count field for anomalies.","exampleUseCases":[{"title":"3D game asset pipeline QA","prompt":"I need a quality audit and outlier report for my game's scene geometry records — I've got 120 rows covering asset groups 'props', 'terrain', and 'npcs' with dates from 2026-09-01 to 2026-09-30. Flag any IQR outliers in the triangle_count field so I can catch bad exports before shipping."},{"title":"Animation studio geometry validation","prompt":"Can you audit these 80 scene geometry records from our animation pipeline? They span asset groups 'background' and 'foreground' with dates in November 2026 and I want to check object_count for data quality issues and outliers."},{"title":"VR scene data health check","prompt":"Run a record quality audit and IQR outlier detection on my 50 VR scene geometry rows — asset groups are 'static_meshes' and 'dynamic_objects', dates range from 2026-08-01 to 2026-08-15, and check the object_count field for anything suspicious."}],"resultDescription":"Returns two independent analytical reports: (1) a record quality audit identifying missing, null, or malformed values across the supplied geometry rows, and (2) IQR-based outlier flags indicating which rows have statistically anomalous values in the selected field (object_count or triangle_count). Results cover up to 200 input rows using local analytical engines with no external data lookups.","failureModes":["More than 200 rows submitted — exceeds maxItems limit","Missing required fields (row_id, date, asset_group) in one or more rows","Invalid date format not matching YYYY-MM-DD pattern","row_id empty or exceeds 80 characters","field enum value not one of 'object_count' or 'triangle_count'","Payment failure via x402 protocol blocks execution"],"whenToPreferThis":"Choose this endpoint when you need both a record quality audit and IQR-based outlier detection specifically for scene geometry data (object_count, triangle_count) in a single low-cost call. It processes up to 200 rows locally with no external lookups, making it ideal for fast, offline-safe data QA in 3D asset pipelines, game development, or animation workflows where you need statistical anomaly detection alongside quality checks.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:42:50.059Z","isFirstParty":false,"canonicalSlug":"scene-geometry-record-quality-audit-iqr-outlier-flags-f61e3d7d"}