{"uid":"cap_XF_32fC_ehFlyYfw5UkEi","slug":"mesh-budgets-grouped-numeric-summary-with-iqr-outlier-flags-ee7257ca","name":"Mesh Budgets Grouped Numeric Summary with IQR Outlier Flags","description":"Mesh budgets — Grouped numeric summary + IQR outlier flags: Grouped numeric summary + IQR outlier flags for supplied mesh budgets records (triangle_count, vertex_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-01-094?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_VG9AAC_YnMzz-7hDKkSDn","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 numeric summary statistics and IQR-based outlier flags for mesh budget records containing triangle count and vertex count fields.","exampleAgentPrompt":"I have up to 200 rows of mesh budget data with asset groups, dates, triangle counts, and vertex counts — can you group them by asset_group and give me a numeric summary plus IQR outlier flags for triangle_count? Here are the rows: row-1, group-a, 2026-10-01, triangle_count=10, vertex_count=1; row-2, group-b, 2026-10-02, triangle_count=20, vertex_count=2; row-3, group-a, 2026-10-03, triangle_count=15, vertex_count=3.","exampleUseCases":[{"title":"Detecting bloated mesh assets in a game build","prompt":"I've got a list of 3D assets from our game build pipeline — each has an asset_group, date, triangle_count, and vertex_count. Can you group them and flag any triangle_count values that are IQR outliers so I know which meshes are blowing the budget?"},{"title":"Auditing vertex counts across LOD groups","prompt":"We have multiple LOD asset groups and I want a grouped numeric summary of vertex_count for each group, plus IQR outlier flags — here are the rows with row IDs, asset groups, dates, and vertex counts for about 150 records."},{"title":"Quality check on imported mesh batch","prompt":"After importing a batch of 3D meshes, I need to sanity-check the triangle counts — can you run a grouped summary and IQR outlier detection on this dataset of up to 200 rows grouped by asset_group so I can spot anything abnormal?"}],"resultDescription":"Returns two analytical reports: (1) a grouped numeric summary (e.g. mean, median, min, max, std dev) of the selected field (triangle_count or vertex_count) broken down by asset_group, and (2) IQR-based outlier flags indicating which individual rows fall outside the interquartile range bounds, helping identify anomalous mesh assets.","failureModes":["Exceeding 200 rows causes rejection — caller must paginate or reduce dataset","Missing required fields (row_id, asset_group, date, triangle_count, vertex_count) causes validation error","Invalid date format (not YYYY-MM-DD) triggers schema rejection","Null values in the selected numeric field may affect IQR computation or be excluded from analysis","Payment failure (insufficient USDC balance) blocks the call entirely"],"whenToPreferThis":"Choose this endpoint when you have tabular mesh budget data (triangle_count, vertex_count) grouped by asset categories and need both a descriptive numeric summary and IQR-based outlier detection in a single call, without requiring an external analytics environment. Ideal for 3D asset pipeline QA, LOD budget auditing, or batch mesh validation where datasets fit within 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:42:20.692Z","isFirstParty":false,"canonicalSlug":"mesh-budgets-grouped-numeric-summary-with-iqr-outlier-flags-ee7257ca"}