{"uid":"cap_0ooRijLDiwo_TTYwZqrXA","slug":"mesh-budgets-daily-sum-series-and-two-measure-correlation-0c9ca4bd","name":"Mesh Budgets Daily Sum Series and Two-Measure Correlation","description":"Mesh budgets — Daily sum series + Two-measure correlation: Daily sum series + Two-measure correlation 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-01-141?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"}}},"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_lSZ3Iw4hVQGFEu-zqiN97","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":"Computes daily sum time series and Pearson correlation between triangle_count and vertex_count for supplied mesh budget records (up to 200 rows).","exampleAgentPrompt":"I have mesh budget data for my 3D assets — here are up to 200 rows with date, asset_group, triangle_count, and vertex_count fields. Can you give me the daily sum series for triangle_count and also compute the correlation between triangle_count and vertex_count across all the records?","exampleUseCases":[{"title":"Game Asset Complexity Trend Analysis","prompt":"I want to see the daily total triangle counts over time for my game asset groups — here's my mesh budget data with dates, asset_group labels, triangle_count, and vertex_count for about 150 rows. Give me the daily sum series for triangle_count and tell me how correlated triangle_count and vertex_count are."},{"title":"3D Pipeline Budget Review","prompt":"We're reviewing our 3D pipeline budgets for last quarter. I have records with date, asset_group, triangle_count, and vertex_count — around 120 rows. Can you run the daily sum series on vertex_count and compute the two-measure correlation between triangle_count and vertex_count so I can see if the two metrics move together?"},{"title":"Mesh Optimization Audit","prompt":"Can you analyze this mesh budget dataset — 80 rows with dates ranging over several weeks, each row has an asset_group, triangle_count, and vertex_count. I need the daily aggregated sums for triangle_count and the correlation between triangle_count and vertex_count to see if our optimization efforts are consistent."}],"resultDescription":"Returns two analytical reports: (1) a daily sum time series aggregating the selected measure (triangle_count or vertex_count) by date across asset groups, and (2) a Pearson or equivalent correlation coefficient between triangle_count and vertex_count across all supplied rows. No external data is fetched; all computation is performed on the user-supplied rows.","failureModes":["Missing required fields (row_id, date, asset_group, triangle_count, vertex_count) cause validation errors","More than 200 rows submitted — endpoint rejects oversized payloads","Malformed date strings not matching YYYY-MM-DD pattern cause rejection","Null values in both measures across all rows may produce undefined correlation","Payment failure via x402 protocol results in 402 response and no report"],"whenToPreferThis":"Choose this endpoint when you have 3D mesh budget data with triangle and vertex counts keyed by date and asset group and need both a daily aggregated time series and a cross-measure correlation in a single low-cost call. Ideal for game developers, 3D pipeline engineers, or technical artists auditing mesh complexity budgets. At $0.01 USDC for two reports on up to 200 rows, it is cost-efficient for small-to-medium dataset analytics without setting up a local analytics environment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:43:24.208Z","isFirstParty":false,"canonicalSlug":"mesh-budgets-daily-sum-series-and-two-measure-correlation-0c9ca4bd"}