# Mesh Budgets — Base-100 Series + Date by Category Pivot

> Mesh Budgets — Base-100 Series + Date by Category Pivot 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).

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.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-01-167?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-base-100-series-date-by-category-pivot-4336a441
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_gRMIn9kCeNeBu5ldSaLCp

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-base-100-series-date-by-category-pivot-4336a441 -d '<json body>'
```

Example prompt: 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.

## When to prefer this

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.

## Known failure modes

- 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)

## How this service works

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.

## Output

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.

## 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"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/mesh-budgets-base-100-series-date-by-category-pivot-4336a441/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)