# Mesh Budgets Data Quality Suite: Audit, Normalise & Fill

> Mesh Budgets Data Quality Suite: Audit, Normalise & Fill 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 three local analytical reports on mesh budget records — a record quality audit, string normalisation, and explicit missing-value fill — for up to 200 rows of triangle_count and vertex_count data.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-01-208?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-data-quality-suite-audit-normalise-fill-f3c57b39
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_ACi_72I0cpDau9WkxBdjg

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-data-quality-suite-audit-normalise-fill-f3c57b39 -d '<json body>'
```

Example prompt: Can you run the full three-part quality suite on my mesh budget records — audit, string normalise, and fill missing triangle_count values using median — here are my rows with row_id, asset_group, date, triangle_count and vertex_count?

## When to prefer this

Choose this endpoint when you need a combined data-quality pass (audit + string normalisation + null fill) on mesh budget data specifically containing triangle_count and vertex_count fields. It is well-suited for 3D asset pipelines, game development studios, or any workflow that must clean mesh geometry budgets before downstream processing. Prefer it over generic data-cleaning tools when your data fits the mesh budget schema and you want all three reports in a single $0.01 USDC call.

## Known failure modes

- More than 200 rows submitted — request rejected
- Invalid date format (not YYYY-MM-DD) — validation error
- Missing required fields (row_id, asset_group, date, triangle_count, vertex_count) — schema error
- Invalid fill method or field enum value — rejected with error
- Empty rows array — rejected with minItems violation

## How this service works

Mesh budgets — Record quality audit + String normalisation + Explicit missing-value fill: Record quality audit + String normalisation + Explicit missing-value fill for supplied mesh budgets records (triangle_count, vertex_count). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.

## Output

Returns three independent analytical reports per submission: (1) a record quality audit flagging issues per row, (2) string-normalised versions of text fields like asset_group, and (3) a dataset with missing values in the chosen field explicitly filled using the selected method (zero, mean, or median). All processing is local — no external lookups or predictions are made.

## 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"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/mesh-budgets-data-quality-suite-audit-normalise-fill-f3c57b39/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)