{"uid":"cap_dscZ1IDY2iItXWOb-Q-oF","slug":"mesh-budgets-numeric-interval-filter-date-by-category-pivot-8a714197","name":"Mesh Budgets — Numeric Interval Filter + Date by Category Pivot","description":"Mesh budgets — Numeric interval filter + Date by category pivot: Numeric interval filter + Date by category pivot 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-01-133?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"},"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_isnT8-Quw4V6LNEG5Ge5p","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 range and produces a date-by-category pivot table, delivered as two analytical reports for up to 200 supplied rows.","exampleAgentPrompt":"I have up to 200 mesh budget records with triangle_count and vertex_count per asset group and date — can you filter rows where triangle_count is between 10 and 500, then give me a date-by-category pivot table showing how those counts break down across asset groups?","exampleUseCases":[{"title":"Game asset polygon budget review","prompt":"Here are 150 mesh records for our game assets — filter down to rows where triangle_count is between 5000 and 50000, and pivot the results by date and asset_group so I can see which groups are over budget on which days."},{"title":"Vertex count compliance check by team","prompt":"I've got 80 mesh budget entries from different teams — run a numeric interval filter on vertex_count between 1000 and 20000, and generate a date-by-category pivot so I can see per-team vertex usage over the project timeline."},{"title":"Film VFX mesh complexity analysis","prompt":"Can you take these 200 VFX mesh records, filter for triangle_count between 0 and 100000, and produce a pivot table broken down by asset_group and date so we can track complexity trends for each department?"}],"resultDescription":"Returns two analytical reports: (1) a filtered list of mesh budget rows where the chosen field (triangle_count or vertex_count) falls within the specified minimum–maximum interval, and (2) a date-by-category pivot table cross-tabulating that field across asset groups and dates — all computed locally on the supplied data, up to 200 rows.","failureModes":["Input rows array is empty or exceeds 200 items — rejected with validation error","Invalid date format (not YYYY-MM-DD) causes row-level schema rejection","minimum greater than maximum produces an empty filtered result set","null values in triangle_count or vertex_count are handled but may reduce pivot completeness","Unknown field value outside enum [triangle_count, vertex_count] causes schema validation failure","Payment of 0.01 USDC not fulfilled — x402 payment required error returned"],"whenToPreferThis":"Choose this endpoint when you have pre-collected mesh budget records (up to 200 rows) with triangle_count and vertex_count fields and need both a numeric range filter and a date-by-category pivot in a single low-cost call ($0.01 USDC). It is ideal for 3D asset pipeline audits, game/film mesh complexity reviews, or any workflow where you want to isolate geometry within a budget band and cross-tabulate results by date and asset group without an external database or live lookup.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:42:31.689Z","isFirstParty":false,"canonicalSlug":"mesh-budgets-numeric-interval-filter-date-by-category-pivot-8a714197"}