{"uid":"cap_gRMIn9kCeNeBu5ldSaLCp","slug":"mesh-budgets-base-100-series-date-by-category-pivot-4336a441","name":"Mesh Budgets — Base-100 Series + Date by Category Pivot","description":"Mesh budgets — Base-100 series + Date by category pivot: Base-100 series + 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-01-167?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"},"base_index":{"type":"integer","default":0,"maximum":199,"minimum":0}}},"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_wrhSlOamvg_npFICUWrTk","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":"Runs two local analytical reports on mesh budget data (triangle_count or vertex_count): a Base-100 indexed time series and a date-by-category pivot table, for up to 200 rows.","exampleAgentPrompt":"I have mesh budget records for two asset groups over the past week — can you run a Base-100 series and a date-by-category pivot on triangle_count, using row 0 as the base index? Here's my data: group-a on 2026-10-01 had 10 triangles and 1 vertex, group-b on 2026-10-02 had 20 triangles and 2 vertices, group-a on 2026-10-03 had 15 triangles and 3 vertices, group-b on 2026-10-04 had 30 triangles and 4 vertices.","exampleUseCases":[{"title":"Track mesh complexity growth by asset group","prompt":"I have 50 rows of mesh budget data across three asset groups collected daily throughout October — can you index triangle_count to base-100 starting from the first row and also give me a date-by-category pivot so I can see how each group's complexity evolved?"},{"title":"Normalize vertex counts for VFX budget review","prompt":"Can you run a base-100 series on vertex_count for my mesh records, using row 0 as the baseline, and include a date-by-category pivot? I've got groups named 'characters', 'environments', and 'props' with dates from 2026-09-01 to 2026-09-30."},{"title":"Compare triangle budgets across game asset categories","prompt":"I need two reports on my game asset mesh data: a base-100 indexed series for triangle_count with base_index 0, and a pivot of dates by asset group. My data has up to 150 rows across groups like 'hero', 'npc', and 'prop'."}],"resultDescription":"Returns two analytical reports: (1) a Base-100 indexed time series showing how the selected metric (triangle_count or vertex_count) evolves relative to a chosen baseline row, and (2) a date-by-category pivot table cross-tabulating values by date and asset_group. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["Missing required fields (row_id, asset_group, date, triangle_count, vertex_count) cause validation errors","Date strings not matching YYYY-MM-DD pattern are rejected","More than 200 rows submitted exceeds the maxItems limit","base_index referencing a non-existent row index causes an error","Invalid field enum value (not 'triangle_count' or 'vertex_count') is rejected","Empty rows array is rejected (minItems: 1)"],"whenToPreferThis":"Choose this endpoint when you have tabular mesh budget data (triangle and vertex counts by date and asset group) and need both a normalized trend analysis (Base-100 indexed series) and a cross-tabulated summary (date-by-category pivot) in a single low-cost call. It is ideal for 3D production pipelines, game asset audits, or VFX budget tracking where you supply your own data and want two complementary analytical views without any external data fetching or model inference.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:42:24.986Z","isFirstParty":false,"canonicalSlug":"mesh-budgets-base-100-series-date-by-category-pivot-4336a441"}