{"uid":"cap_HpIqa0YVGbfQeLhplKAGN","slug":"mesh-budgets-numeric-interval-filter-explicit-missing-value-fill-e10c5bf1","name":"Mesh Budgets — Numeric Interval Filter + Explicit Missing-Value Fill","description":"Mesh budgets — Numeric interval filter + Explicit missing-value fill: Numeric interval filter + 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-01-135?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"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_Z6UbYdlXGgMDSsNRMAiIG","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":"Filters mesh budget rows (triangle_count or vertex_count) by a numeric interval and fills missing values using zero, mean, or median imputation, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"I have a list of up to 200 mesh budget records with triangle_count and vertex_count — can you filter them to only keep rows where triangle_count is between 0 and 100, and fill any missing triangle_count values using median imputation? Use these rows: [{row_id: 'row-1', asset_group: 'props', date: '2026-10-01', triangle_count: null, vertex_count: 500}, {row_id: 'row-2', asset_group: 'characters', date: '2026-10-02', triangle_count: 80, vertex_count: 1200}].","exampleUseCases":[{"title":"Filter polygon counts for LOD budgeting","prompt":"I have mesh budget records for our character assets and I need to filter out any rows where triangle_count falls outside the range 500 to 50000, then fill any missing triangle_count values with the median — can you run that analysis on my 120 rows?"},{"title":"Clean vertex data before asset review","prompt":"Our vertex_count data has a bunch of nulls and some clearly out-of-range entries — please filter to only rows between 0 and 1000000 vertex_count and replace the missing ones with zero so we can review a clean dataset."},{"title":"Audit mesh complexity across asset groups","prompt":"I want to audit our mesh budgets across different asset groups: filter all records where triangle_count is between 1000 and 200000, and use mean imputation for any missing triangle_count values — here are my 85 rows with asset_group and date fields."}],"resultDescription":"Two analytical reports covering the supplied mesh budget rows: one applying the numeric interval filter to the specified field (triangle_count or vertex_count), and one applying the chosen missing-value fill method (zero, mean, or median). Reports are generated locally from the supplied data with no external lookups.","failureModes":["Fewer than 1 or more than 200 rows supplied — validation error","Invalid date format (not YYYY-MM-DD) on any row — schema rejection","Missing required fields (row_id, asset_group, date, triangle_count, vertex_count) — validation error","Minimum value greater than maximum value — may produce empty filtered result set","Unsupported fill method value not in [zero, mean, median] — enum validation error","Numeric values outside allowed range (-1e12 to 1e12) — schema rejection"],"whenToPreferThis":"Choose this endpoint when you have raw mesh budget tabular data (triangle_count and vertex_count per asset row) and need to both bound the data to a valid numeric interval and impute missing values in a single low-cost call. Ideal for creative/game production pipelines doing pre-analysis data cleaning. Prefer this over general-purpose analytics tools when your data is structured around 3D mesh complexity metrics and you want two combined reports (interval filter + null fill) from locally-executed analytics at minimal cost.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-27T00:45:00.208Z","isFirstParty":false,"canonicalSlug":"mesh-budgets-numeric-interval-filter-explicit-missing-value-fill-e10c5bf1"}