{"uid":"cap_C2xeAhmQMQT3DhzlwSyuk","slug":"mesh-budgets-iqr-outlier-flags-and-missing-value-fill-71b455f5","name":"Mesh Budgets IQR Outlier Flags and Missing Value Fill","description":"Mesh budgets — IQR outlier flags + Explicit missing-value fill: IQR outlier flags + Explicit missing-value fill 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-01-180?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"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"}}},"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_MB67uHP8jyV55bulrK3is","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":"Detects IQR-based outliers and fills missing values in mesh budget records (triangle_count, vertex_count) for up to 200 rows","exampleAgentPrompt":"Can you check my mesh budget records for IQR outliers in triangle_count and fill any missing values using median imputation? I have about 50 rows with row_id, asset_group, date, triangle_count, and vertex_count.","exampleUseCases":[{"title":"3D pipeline mesh audit","prompt":"I've got 120 rows of mesh budget data from our game asset pipeline — can you flag any triangle_count values that look like IQR outliers and fill in any missing triangle_count entries using median? Fields are row_id, asset_group, date, triangle_count, and vertex_count."},{"title":"Vertex count data cleaning","prompt":"My vertex count records have some nulls and I'm worried there are bad values too. Can you run IQR outlier detection and fill missing vertex_count values with the mean across my 80 mesh budget rows?"},{"title":"Asset group outlier review","prompt":"Before I send this mesh budget report to the art director, can you check all 35 rows for triangle_count outliers using IQR and replace any missing triangle_count values with zero so nothing is blank?"}],"resultDescription":"Two analytical reports: (1) an IQR-based outlier flag report identifying which rows have statistically anomalous values for the chosen field, and (2) a missing-value fill report showing which null/missing entries were replaced and with what imputed value (zero, mean, or median), all computed locally without external lookups.","failureModes":["Fewer than 1 or more than 200 rows submitted returns a validation error","Invalid date format (not YYYY-MM-DD) causes row rejection","Missing required fields (row_id, asset_group, date) cause schema validation failure","Unsupported fill method enum value returns an error","All-null field values may prevent meaningful IQR or mean/median computation"],"whenToPreferThis":"Choose this endpoint when you need fast, local statistical analysis of 3D mesh budget data — specifically IQR outlier flagging combined with missing value imputation for triangle_count or vertex_count fields. It is ideal for 3D asset pipeline QA, game studio mesh audits, or any workflow where you need two complementary data-quality reports in a single cheap call without relying on external ML models or professional assessments.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:43:07.590Z","isFirstParty":false,"canonicalSlug":"mesh-budgets-iqr-outlier-flags-and-missing-value-fill-71b455f5"}