{"uid":"cap_sPUKL_lY8hi6L4Hkcyv67","slug":"mesh-budgets-date-by-category-pivot-explicit-missing-value-fill-5ab206d6","name":"Mesh Budgets — Date by Category Pivot + Explicit Missing-Value Fill","description":"Mesh budgets — Date by category pivot + Explicit missing-value fill: Date by category pivot + 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-01-189?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_pjf0PEwaogClzfDIBETLO","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":"Pivots mesh budget data (triangle_count, vertex_count) by date and asset category, and fills missing values using zero, mean, or median methods, across up to 200 rows.","exampleAgentPrompt":"Can you pivot my mesh budget records by date and asset group, filling any missing triangle_count values using median imputation? Here are up to 50 rows with row_id, asset_group, date, triangle_count, and vertex_count fields.","exampleUseCases":[{"title":"Game asset complexity budget review","prompt":"I have 120 rows of mesh budget data for our game assets — each row has a row_id, asset_group like 'characters' or 'environment', a date, and triangle_count values (some are missing). Can you pivot that by date and asset group and fill the missing triangle_counts using median?"},{"title":"3D pipeline vertex count gap filling","prompt":"My 3D pipeline tracking sheet has vertex_count entries across several asset groups and dates, but there are gaps. Can you reshape it into a date-by-category pivot and fill those missing vertex_count values with zeros?"},{"title":"Monthly mesh budget cross-group comparison","prompt":"I need to compare triangle counts across different asset groups over the past few months. Can you take my 80 mesh budget records and produce a date-by-category pivot with missing values filled using mean imputation?"}],"resultDescription":"Returns two analytical reports: (1) a date-by-category pivot table reorganizing the supplied mesh budget rows by date and asset_group for either triangle_count or vertex_count, and (2) a missing-value-filled version of the dataset using the specified fill method (zero, mean, or median). Both reports are derived locally from the supplied data with no external lookups.","failureModes":["Fewer than 1 or more than 200 rows supplied — request rejected","Invalid date format (not YYYY-MM-DD) — schema validation error","Missing required fields (row_id, asset_group, date) — validation failure","Invalid field enum value (not triangle_count or vertex_count) — rejection","Invalid method enum value (not zero, mean, or median) — rejection","All values present with no missing data — fill report returns unchanged data"],"whenToPreferThis":"Choose this endpoint when you need to both reshape mesh budget records into a date-by-category pivot AND handle missing numeric values in a single paid call. It is purpose-built for 3D asset pipeline analytics involving triangle_count and vertex_count fields across asset groups and dates, and bundles two local analytical reports for $0.01 USDC. Prefer it over general-purpose analytics tools when your data fits the 200-row limit and you need reproducible offline computation without external data lookups.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-27T00:44:45.124Z","isFirstParty":false,"canonicalSlug":"mesh-budgets-date-by-category-pivot-explicit-missing-value-fill-5ab206d6"}