{"uid":"cap_mRniyfnRovz3VUdWmHeuL","slug":"mesh-budgets-string-normalisation-explicit-missing-value-fill-d7e2cf09","name":"Mesh Budgets — String Normalisation + Explicit Missing-Value Fill","description":"Mesh budgets — String normalisation + Explicit missing-value fill: String normalisation + 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-01-037?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_Fq5Yk-nhRKw9f6x-W_JcL","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 fills missing triangle_count or vertex_count values in mesh budget records using zero, mean, or median imputation, for up to 200 rows.","exampleAgentPrompt":"I have a batch of 3D asset mesh budget records with some missing triangle_count values — can you normalise the string fields and fill those gaps using median imputation for up to 200 rows?","exampleUseCases":[{"title":"Game asset pipeline data cleanup","prompt":"My game engine's asset registry has 150 mesh budget rows where some triangle_count fields are null — can you normalise the asset_group strings and fill in the missing triangle_count values using median imputation?"},{"title":"3D model vertex count gap filling","prompt":"I've got mesh budget records for our character models and about 30 rows are missing vertex_count — please normalise the string fields and fill those nulls using mean imputation across all rows."},{"title":"Zero-fill missing polygon counts for budgeting","prompt":"Can you clean up these mesh budget records by normalising asset group names and filling any missing triangle_count entries with zero so we can run totals for the quarter?"}],"resultDescription":"Returns two analytical reports per call: one covering string normalisation results (standardised asset_group and date fields) and one detailing explicit missing-value fill results for the chosen field (triangle_count or vertex_count), showing original nulls replaced by the selected imputation method (zero, mean, or median), across up to 200 input rows.","failureModes":["More than 200 rows submitted — request exceeds row limit and will be rejected","Invalid date format not matching YYYY-MM-DD pattern — row validation failure","Missing required fields (row_id, asset_group, date) — schema validation error","Numeric values outside allowed range (±1,000,000,000,000) — validation rejection","Empty rows array — minimum 1 row required","Invalid enum value for field or method parameters — request error"],"whenToPreferThis":"Choose this endpoint when you have 3D mesh budget tabular data (triangle_count, vertex_count) with dirty string fields or missing numeric values and need a fast, cheap ($0.01 USDC for 2 reports, up to 200 rows) local analytical clean-up without any external lookup, ML prediction, or live data enrichment. Best suited for asset pipeline preprocessing, data quality passes before analytics, or budget reporting preparation in game development or 3D content workflows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-27T00:44:54.257Z","isFirstParty":false,"canonicalSlug":"mesh-budgets-string-normalisation-explicit-missing-value-fill-d7e2cf09"}