{"uid":"cap_JddddKLk_FWJVoUKEzxYR","slug":"mesh-budgets-string-normalisation-iqr-outlier-flags-ca78fd1a","name":"Mesh Budgets — String Normalisation + IQR Outlier Flags","description":"Mesh budgets — String normalisation + IQR outlier flags: String normalisation + 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-01-032?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_AXT2iXaYxO9z5ft9_ncZQ","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":"Normalises string fields and flags IQR-based outliers in mesh budget records (triangle_count, vertex_count) for up to 200 rows, producing 2 analytical reports.","exampleAgentPrompt":"Can you run string normalisation and IQR outlier detection on my mesh budget records? Here are up to 200 rows with triangle_count and vertex_count per asset group — I want to flag which rows are outliers based on triangle_count.","exampleUseCases":[{"title":"Game asset polygon budget audit","prompt":"I have a list of 3D game assets with triangle and vertex counts per group and date — can you normalize the asset group names and flag any triangle_count values that look like IQR outliers so I know which assets are over budget?"},{"title":"3D scene mesh QA pipeline","prompt":"We're doing a quality check on our scene meshes. Can you take these rows of mesh data with triangle_count and vertex_count, clean up the string fields, and tell me which rows are statistical outliers based on vertex_count?"},{"title":"Asset library data cleaning","prompt":"I've exported mesh budget data from our asset library — about 150 rows with asset_group, date, triangle_count, and vertex_count. Can you normalize the strings and use IQR analysis to highlight any outlier triangle counts?"}],"resultDescription":"Two analytical reports: (1) a string normalisation report for the asset_group and related string fields, and (2) an IQR outlier flagging report identifying which rows have triangle_count or vertex_count values that fall outside the interquartile range bounds, with per-row outlier indicators.","failureModes":["More than 200 rows submitted — request rejected or truncated","Missing required fields (row_id, date, triangle_count, vertex_count) — validation error","Invalid date format (must match YYYY-MM-DD pattern) — schema validation failure","Field enum value not in [triangle_count, vertex_count] — rejected","Null numeric values may reduce IQR calculation accuracy","Empty rows array — no analysis possible"],"whenToPreferThis":"Choose this endpoint when you need local, offline-style statistical analysis of 3D mesh geometry data — specifically string normalisation combined with IQR-based outlier detection on triangle_count or vertex_count fields — without requiring any external lookup, prediction, or live data. Ideal for 3D asset pipeline QA, game development budget checks, or batch validation of mesh records at low cost ($0.01 for up to 200 rows).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:42:23.002Z","isFirstParty":false,"canonicalSlug":"mesh-budgets-string-normalisation-iqr-outlier-flags-ca78fd1a"}