{"uid":"cap_5GY5wyRRLzZrYQKgkjDaE","slug":"scene-geometry-iqr-outlier-flags-date-by-category-pivot-8348fb22","name":"Scene Geometry IQR Outlier Flags + Date by Category Pivot","description":"Scene geometry — IQR outlier flags + Date by category pivot: IQR outlier flags + Date by category pivot 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-05-178?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_8kKFW4jrGWS8o9qIxdtKs","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":"Analyzes supplied scene geometry records (object_count, triangle_count) to produce IQR-based outlier flags and a date-by-category pivot table, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"Can you run IQR outlier detection and a date-by-category pivot on my scene geometry data? Here are my rows with row_id, asset_group, date, object_count, and triangle_count — I want to flag outliers on object_count.","exampleUseCases":[{"title":"Flag anomalous object counts in game assets","prompt":"I have scene geometry records for my game levels — each row has a row_id, asset_group, date, object_count, and triangle_count. Can you run IQR outlier flagging on object_count and also pivot the data by date and asset group so I can see which levels have unusual complexity?"},{"title":"Audit triangle counts across art pipeline batches","prompt":"Here are 150 rows of 3D asset geometry exports from our art pipeline with row_id, asset_group, date, object_count, and triangle_count. Please flag any triangle_count outliers using IQR and give me a date-by-category pivot so I can see trends across groups."},{"title":"QA check on scene geometry before rendering","prompt":"Before we kick off the render job, can you analyze these scene geometry records — I need IQR-based outlier flags on object_count and a pivot table breaking down counts by date and asset_group? There are about 80 rows with row_id, date, asset_group, object_count, and triangle_count."}],"resultDescription":"Returns two analytical reports: (1) IQR outlier flags per row indicating whether the specified field (object_count or triangle_count) is an outlier based on interquartile range analysis, and (2) a pivot table showing the chosen metric summarized by date and asset_group category. Covers up to 200 input rows per call.","failureModes":["Fewer than 1 row supplied — minimum 1 row required","More than 200 rows supplied — maximum 200 rows enforced","Missing required fields (row_id, asset_group, date, object_count, triangle_count) on any row","Invalid date format (must match YYYY-MM-DD pattern)","Invalid field selector — must be 'object_count' or 'triangle_count'","Null values in the numeric field selected may reduce IQR accuracy or be excluded from calculations","row_id exceeds 80 character limit"],"whenToPreferThis":"Choose this endpoint when you have scene geometry records with object_count and/or triangle_count metrics and need both statistical outlier detection (IQR-based) and a categorical pivot in a single low-cost call. Ideal for 3D asset pipelines, game level QA, or rendering pre-checks where you want to identify anomalous geometry and summarize trends by date and asset group simultaneously without setting up your own analytics stack.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:43:31.774Z","isFirstParty":false,"canonicalSlug":"scene-geometry-iqr-outlier-flags-date-by-category-pivot-8348fb22"}