# Mesh Budgets Data Quality Audit: Record Quality, String Normalisation & IQR Outlier Flags

> Mesh Budgets Data Quality Audit: Record Quality, String Normalisation & IQR Outlier Flags 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 — record quality audit, string normalisation, and IQR-based outlier detection — for triangle_count and vertex_count fields across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-01-203?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-audit-record-quality-string-normalisation-bdb7b2a2
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_QraAfNlFSZOoTr1ojS8cL

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-audit-record-quality-string-normalisation-bdb7b2a2 -d '<json body>'
```

Example prompt: Can you run a full data quality audit on these mesh budget records — I have about 50 rows with row_id, asset_group, date, triangle_count, and vertex_count — and flag any IQR outliers and normalise the strings? Focus on the triangle_count field.

## When to prefer this

Choose this endpoint when you have tabular mesh budget data (triangle counts, vertex counts) and need a bundled, cost-effective set of three data quality checks — record auditing, string normalisation, and IQR outlier detection — in a single call for up to 200 rows, without needing any external data lookups, predictions, or professional assessments.

## Known failure modes

- More than 200 rows submitted — request rejected or truncated
- Missing required fields (row_id, date, triangle_count, vertex_count) — validation error returned
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Numeric values outside the allowed range (±1 trillion) — schema rejection
- Empty rows array — error response
- Invalid field enum value — schema validation error

## How this service works

Mesh budgets — Record quality audit + String normalisation + IQR outlier flags: Record quality audit + String normalisation + IQR outlier flags 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

Three independent analytical reports: (1) a record quality audit identifying missing, malformed, or invalid values; (2) a string normalisation report cleaning and standardising text fields like asset_group; (3) an IQR outlier flag report identifying statistically anomalous values in the selected numeric field (triangle_count or vertex_count). All reports are computed locally 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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/mesh-budgets-data-quality-audit-record-quality-string-normalisation-bdb7b2a2/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)