# Motion Capture Data Quality Audit, String Normalisation & Weighted Mean

> Motion Capture Data Quality Audit, String Normalisation & Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-02).

Runs three local analytical reports on motion capture records: record quality audit, string normalisation, and secondary-measure weighted mean for frame_count or missing_frames fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-21-205?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-11-02
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/motion-capture-data-quality-audit-string-normalisation-weighted-mean-9f5fbccd
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_TFvHNMsIeITSAn5Joshrb

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 motion-capture-data-quality-audit-string-normalisation-weighted-mean-9f5fbccd -d '<json body>'
```

Example prompt: Can you run a record quality audit, string normalisation, and weighted mean on these motion capture records — I have 4 rows with fields row_id, asset_group, date, frame_count, and missing_frames — and I want the weighted mean calculated on frame_count?

## When to prefer this

Choose this endpoint when you need three bundled analytical operations (quality audit, string normalisation, weighted mean) on motion capture records in a single cost-effective call. It is ideal for animation and media production pipelines that need lightweight, local data validation and summarisation without any external API dependencies, predictions, or professional assessments. Best suited for batch sizes of up to 200 rows processed at once.

## Known failure modes

- Input array exceeds 200 rows — request will be rejected
- Missing required fields (row_id, date, frame_count, missing_frames) cause row-level validation errors
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Null or out-of-range numeric values may be flagged in the quality audit
- Unrecognised field enum value (not frame_count or missing_frames) causes request failure
- Payment not provided or insufficient USDC causes 402 response

## How this service works

Motion capture — Record quality audit + String normalisation + Secondary-measure weighted mean: Record quality audit + String normalisation + Secondary-measure weighted mean for supplied motion capture records (frame_count, missing_frames). 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 covering: (1) a record quality audit flagging data issues in the supplied motion capture rows, (2) a string normalisation report cleaning asset_group and related text fields, and (3) a secondary-measure weighted mean computed over the selected numeric field (frame_count or missing_frames). All computation is local with no external lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "asset_group",
     "date",
     "frame_count",
     "missing_frames"
    ],
    "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
     },
     "frame_count": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "missing_frames": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "asset_group": "group-a",
     "frame_count": 10,
     "missing_frames": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "asset_group": "group-b",
     "frame_count": 20,
     "missing_frames": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "asset_group": "group-a",
     "frame_count": 15,
     "missing_frames": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "asset_group": "group-b",
     "frame_count": 30,
     "missing_frames": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "frame_count",
    "missing_frames"
   ],
   "type": "string",
   "default": "frame_count"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/motion-capture-data-quality-audit-string-normalisation-weighted-mean-9f5fbccd/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)