{"uid":"cap_QBPFlAfzLrxPl6-TrauMV","slug":"mesh-budgets-date-by-category-pivot-keyed-dataset-comparison-205585ab","name":"Mesh Budgets — Date by Category Pivot + Keyed Dataset Comparison","description":"Mesh budgets — Date by category pivot + Keyed dataset comparison: Date by category pivot + Keyed dataset comparison 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-01-188?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}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"asset_group":{"type":"string","default":"","maxLength":80},"vertex_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"triangle_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","asset_group":"group-a","vertex_count":1,"triangle_count":10},{"date":"2026-10-02","row_id":"row-2","asset_group":"group-b","vertex_count":2,"triangle_count":20},{"date":"2026-10-03","row_id":"row-3","asset_group":"group-a","vertex_count":3,"triangle_count":15},{"date":"2026-10-04","row_id":"row-4","asset_group":"group-b","vertex_count":4,"triangle_count":30}],"maxItems":200,"minItems":1},"field":{"enum":["triangle_count","vertex_count"],"type":"string","default":"triangle_count"},"other":{"type":"array","items":{"type":"object","required":["row_id","asset_group","date","triangle_count","vertex_count"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","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":21},{"date":"2026-10-03","row_id":"row-3","asset_group":"group-a","vertex_count":3,"triangle_count":17},{"date":"2026-10-04","row_id":"row-4","asset_group":"group-b","vertex_count":4,"triangle_count":33}],"maxItems":200,"minItems":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_sLSBhA0TJutZsC_OWNzpw","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 or vertex_count) by date and asset group category, and compares two keyed datasets — returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"I have two sets of mesh budget records with triangle_count and vertex_count per asset group and date — can you pivot the triangle_count by date and category, and also compare the two datasets row by row? Here's the primary dataset: row-1, group-a, 2026-10-01, triangle_count 10, vertex_count 1; row-2, group-b, 2026-10-02, triangle_count 20, vertex_count 2. And the comparison dataset has the same rows but with triangle_count 10 and 21 respectively.","exampleUseCases":[{"title":"3D Asset Triangle Budget Review","prompt":"I want to see a pivot of triangle_count by date and asset group for my main mesh dataset, and compare it against last sprint's mesh data — here are both sets of up to 200 rows with row_id, asset_group, date, triangle_count, and vertex_count fields. Use triangle_count as the field."},{"title":"Vertex Count Cross-Sprint Comparison","prompt":"Can you compare vertex counts between my two mesh budget snapshots? Primary dataset is this sprint's records, the other is last sprint's. I want the date-by-category pivot on vertex_count plus a keyed comparison of the two datasets side by side."},{"title":"Multi-Group Mesh Budget Anomaly Check","prompt":"I've got two mesh budget exports — one from the art team and one from the tech team — each with asset_group, date, triangle_count, and vertex_count. Can you pivot triangle_count by date and group for the first dataset and run a keyed comparison between the two to spot where they diverge?"}],"resultDescription":"Returns two independent analytical reports: (1) a date-by-category pivot table of the selected field (triangle_count or vertex_count) broken down by asset_group across dates, and (2) a keyed dataset comparison showing row-by-row differences between the primary and secondary mesh budget datasets. Both reports are computed locally on the supplied data with no external lookups.","failureModes":["Missing required fields (row_id, asset_group, date, triangle_count, vertex_count) causes validation error","Date strings not matching YYYY-MM-DD pattern are rejected","More than 200 rows in either dataset exceeds the row limit and will be rejected","Invalid field enum value (not triangle_count or vertex_count) causes error","Empty rows array returns an error","Null numeric values are accepted but may produce incomplete pivot cells"],"whenToPreferThis":"Choose this endpoint when you need both a date-by-category pivot table and a keyed dataset comparison on mesh budget data (triangle_count or vertex_count) in a single call. It is purpose-built for 3D production pipeline analytics where you want to compare two mesh datasets (e.g., two sprints, two teams, two revisions) alongside a category breakdown, and you want both reports for a flat $0.01 USDC. Prefer this over generic analytics services when your data is specifically structured as mesh geometry records with asset_group, date, and polygon/vertex metrics.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:42:44.697Z","isFirstParty":false,"canonicalSlug":"mesh-budgets-date-by-category-pivot-keyed-dataset-comparison-205585ab"}