# Mesh Budgets — Category Frequencies + Keyed Dataset Comparison

> Mesh Budgets — Category Frequencies + 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).

Analyzes two datasets of mesh budget records (triangle_count, vertex_count) by computing category frequency distributions and performing keyed row-level comparison between the two datasets.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-01-111?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-category-frequencies-keyed-dataset-comparison-83c72b79
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_PXgtaVF8tKYPjIf0rNn1b

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-category-frequencies-keyed-dataset-comparison-83c72b79 -d '<json body>'
```

Example prompt: Compare these two sets of mesh budget records for me — one from last week and one from this week — and tell me the category frequencies by asset group plus any differences in triangle_count and vertex_count between matching rows. I have up to 50 rows in each dataset.

## When to prefer this

Choose this endpoint when you have two structured mesh budget datasets (with triangle and vertex counts per asset group) and need both a categorical frequency breakdown and a row-keyed side-by-side comparison in a single call. It is ideal for 3D asset pipeline audits, LOD budget comparisons, and pre/post optimization analysis where datasets are under 200 rows and no external data lookup or prediction is required.

## Known failure modes

- Missing required fields (row_id, asset_group, date, triangle_count, vertex_count) causes validation error
- Exceeding 200 rows per dataset returns an error or truncation
- Invalid date format (non-YYYY-MM-DD) causes schema rejection
- Null values in triangle_count or vertex_count are accepted but may affect comparison output
- Empty rows array returns an error due to minItems:1 constraint

## How this service works

Mesh budgets — Category frequencies + Keyed dataset comparison: Category frequencies + 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 category frequency distribution showing how records are distributed across asset groups in the supplied datasets, and (2) a keyed comparison aligning rows from both datasets by row_id to surface differences in triangle_count and vertex_count values. Covers up to 200 rows per dataset.

## 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}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "asset_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "vertex_count": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "triangle_count": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "asset_group": "group-a",
     "vertex_count": 1,
     "triangle_count": 10
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "asset_group": "group-b",
     "vertex_count": 2,
     "triangle_count": 20
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "asset_group": "group-a",
     "vertex_count": 3,
     "triangle_count": 15
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "asset_group": "group-b",
     "vertex_count": 4,
     "triangle_count": 30
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "other": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "asset_group",
     "date",
     "triangle_count",
     "vertex_count"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "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": [
    {

… (truncated)
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/mesh-budgets-category-frequencies-keyed-dataset-comparison-83c72b79/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)