{"uid":"cap_U5c8cIo7cJztjtseAiV95","slug":"scene-geometry-grouped-numeric-summary-with-iqr-outlier-flags-10d9dcef","name":"Scene Geometry Grouped Numeric Summary with IQR Outlier Flags","description":"Scene geometry — Grouped numeric summary + IQR outlier flags: Grouped numeric summary + 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-05-094?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_Am0Y7ErrFo0YrOQDCzuLB","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":"Computes grouped descriptive statistics and IQR-based outlier flags for scene geometry records (object_count, triangle_count) across up to 200 rows, producing two independent analytical reports.","exampleAgentPrompt":"Analyze my scene geometry data for outliers and group summaries — here are 50 rows with row_id, asset_group, date, object_count, and triangle_count fields; flag any IQR outliers in object_count and give me a grouped numeric summary per asset group.","exampleUseCases":[{"title":"3D pipeline geometry audit","prompt":"I have 120 scene geometry records from our rendering pipeline, each with an asset_group, date, object_count, and triangle_count. Can you group them by asset_group and flag any rows where triangle_count looks like an IQR outlier?"},{"title":"Game asset count anomaly detection","prompt":"Here are my game asset scene records for October — about 80 rows with object_count per asset group. I want a grouped numeric summary and any IQR-based outlier flags on the object_count field so I can spot bad data before our QA pass."},{"title":"Scene complexity distribution analysis","prompt":"Can you summarize and find outliers in this set of 200 scene geometry entries? I need the grouped stats on triangle_count across my different asset groups and a flag for any records that are unusually far from the norm."}],"resultDescription":"Two analytical reports: (1) a grouped numeric summary (e.g. mean, median, min, max, quartiles) of the selected field (object_count or triangle_count) broken down by asset_group, and (2) per-row IQR outlier flags indicating which records fall outside the interquartile range bounds. Both reports are derived entirely from the supplied data with no external lookups.","failureModes":["Fewer than 1 row supplied — rejected by minItems constraint","More than 200 rows supplied — rejected by maxItems constraint","Missing required row fields (row_id, asset_group, date, object_count, triangle_count) — validation error","Invalid date format (must match YYYY-MM-DD pattern) — schema rejection","Field value not one of allowed enum values (object_count, triangle_count) — rejected","All values null for selected field — may produce empty or degenerate statistics","row_id exceeds 80 character limit — schema rejection"],"whenToPreferThis":"Choose this endpoint when you have tabular scene geometry records (up to 200 rows) and need both grouped descriptive statistics and IQR outlier detection in a single call for object_count or triangle_count. It is ideal for 3D pipeline QA, game asset audits, or any workflow where you want to spot geometry anomalies by asset group without setting up your own analytics infrastructure. It is not appropriate for real-time lookups, predictions, or datasets larger than 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:43:02.311Z","isFirstParty":false,"canonicalSlug":"scene-geometry-grouped-numeric-summary-with-iqr-outlier-flags-10d9dcef"}