# Mesh Budgets Daily Sum Series & Date-by-Category Pivot

> Mesh Budgets Daily Sum 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).

Generates two analytical reports — a daily sum time series and a date-by-category pivot table — for mesh budget data (triangle_count, vertex_count) across asset groups, for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-01-143?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-daily-sum-series-date-by-category-pivot-4add66fe
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Dy9jkrfCjsKCMx6K1e-N7

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-daily-sum-series-date-by-category-pivot-4add66fe -d '<json body>'
```

Example prompt: Can you run a daily sum series and date-by-category pivot on these mesh budget records — I have triangle_count as the field, with asset groups 'group-a' and 'group-b' across dates in October 2026? Here are my rows: row-1 on 2026-10-01 group-a with 10 triangles and 1 vertex, row-2 on 2026-10-02 group-b with 20 triangles and 2 vertices, row-3 on 2026-10-03 group-a with 15 triangles and 3 vertices.

## When to prefer this

Choose this endpoint when you have up to 200 rows of mesh budget records (triangle_count and/or vertex_count) organized by asset group and date, and need both a daily aggregated time series and a pivot table breakdown in a single $0.01 call. It is ideal for 3D asset pipeline analytics, game development polygon budget reviews, and VFX mesh audits where all data is supplied by the caller and no live data lookups or external integrations are needed.

## Known failure modes

- Input array exceeds 200 rows — request rejected with validation error
- Missing required fields (row_id, asset_group, date, triangle_count, vertex_count) causes row-level validation failure
- Invalid date format not matching YYYY-MM-DD pattern returns schema error
- Numeric values outside ±1,000,000,000,000 range rejected
- Empty rows array returns error
- Invalid field enum value (not triangle_count or vertex_count) causes rejection

## How this service works

Mesh budgets — Daily sum series + Date by category pivot: Daily sum 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 independent analytical reports computed locally: (1) a daily sum series showing the total of the selected metric (triangle_count or vertex_count) aggregated by date, and (2) a date-by-category pivot table breaking down that metric by date and asset_group. Results cover up to 200 input rows with no external data 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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/mesh-budgets-daily-sum-series-date-by-category-pivot-4add66fe/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)