# Mesh Budgets Grouped Numeric Summary and Date-by-Category Pivot

> Mesh Budgets Grouped Numeric Summary and 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 local analytical reports — a grouped numeric summary and a date-by-category pivot — for supplied mesh budget records (triangle_count, vertex_count) across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-01-097?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-grouped-numeric-summary-and-date-by-category-pivot-171fcd47
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_t6FiTYUl8zi8rIkt_19SE

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-grouped-numeric-summary-and-date-by-category-pivot-171fcd47 -d '<json body>'
```

Example prompt: I have 4 mesh budget records for two asset groups — group-a and group-b — with dates from 2026-10-01 to 2026-10-04 and triangle_count values. Can you run a grouped numeric summary and a date-by-category pivot on triangle_count for me?

## When to prefer this

Choose this endpoint when you have raw mesh budget records with asset group and date labels and need both a grouped statistical summary and a date-by-category pivot in a single low-cost call. It is ideal for 3D asset pipeline analytics, game development polygon budgeting, and mesh complexity audits where no external data lookup or prediction is needed — just fast local aggregation over your supplied rows.

## Known failure modes

- Fewer than 1 or more than 200 rows supplied — request rejected
- Missing required fields (row_id, asset_group, date, triangle_count, vertex_count) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Null numeric values may be excluded from aggregation silently
- Invalid field enum value (not triangle_count or vertex_count) — schema rejection
- Payment of 0.01 USDC not completed — 402 response blocking access

## How this service works

Mesh budgets — Grouped numeric summary + Date by category pivot: Grouped numeric summary + 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 from the supplied rows: (1) a grouped numeric summary of the selected field (triangle_count or vertex_count) broken down by asset_group, including stats like count, sum, mean, min, and max; and (2) a date-by-category pivot table showing the selected metric across dates and asset groups. Up to 200 rows supported per call.

## 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-grouped-numeric-summary-and-date-by-category-pivot-171fcd47/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)