# Mesh Budgets — Date by Category Pivot + Keyed Dataset Comparison > Mesh Budgets — Date by Category Pivot + Keyed Dataset Comparison is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-17). 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. ## Facts - Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-01-188?utm_source=zero.xyz - Price: $0.01/call - Payment: x402 - Status: unknown - Last checked: 2026-10-17 - Activations on Zero: 0 - Tags: x402 - Canonical page: https://www.zero.xyz/c/mesh-budgets-date-by-category-pivot-keyed-dataset-comparison-205585ab - Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_QBPFlAfzLrxPl6-TrauMV Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently. ## How to call it through Zero Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`): ```sh zero fetch --capability mesh-budgets-date-by-category-pivot-keyed-dataset-comparison-205585ab -d '' ``` Example prompt: 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. ## When to prefer this 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 $0.01 USDC. Prefer this over generic analytics services when your data is specifically structured as mesh geometry records with asset_group, date, and polygon/vertex metrics. ## Known failure modes - Missing required fields (row_id, asset_group, date, triangle_count, vertex_count) causes validation error - Date strings not matching YYYY-MM-DD pattern are rejected - More than 200 rows in either dataset exceeds the row limit and will be rejected - Invalid field enum value (not triangle_count or vertex_count) causes error - Empty rows array returns an error - Null numeric values are accepted but may produce incomplete pivot cells ## How this service works Mesh budgets — Date by category pivot + Keyed dataset comparison: Date by category pivot + Keyed dataset comparison for supplied mesh budgets records (triangle_count, vertex_count). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows. ## Output Returns two independent analytical reports: (1) a date-by-category pivot table of the selected field (triangle_count or vertex_count) broken down by asset_group across dates, and (2) a keyed dataset comparison showing row-by-row differences between the primary and secondary mesh budget datasets. Both reports are computed locally on the supplied data with no external lookups. ## Request schema (JSON Schema) ```json { "type": "object", "properties": { "rows": { "type": "array", "items": { "type": "object", "required": [ "row_id", "asset_group", "date", "triangle_count", "vertex_count" ], "properties": { "date": { "type": "string", "default": "", "pattern": "^\\d{4}-\\d{2}-\\d{2}$", "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" ], "max … (truncated) ``` ## More - Live health (JSON, refreshed every minute): https://www.zero.xyz/c/mesh-budgets-date-by-category-pivot-keyed-dataset-comparison-205585ab/health.json - [Zero catalog index](https://www.zero.xyz/llms.txt) - [Other services from market.datapackvibe.com](https://www.zero.xyz/host/market.datapackvibe.com/llms.txt)