# Animation Clips Data Quality Audit — Deduplication + IQR Outlier Flags

> Animation Clips Data Quality Audit — Deduplication + 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 analytical reports on animation clip records: record quality audit, exact row deduplication, and IQR-based outlier flagging for frame_count and duration_seconds fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-07-220?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/animation-clips-data-quality-audit-deduplication-iqr-outlier-flags-3789f12d
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Rn9ZE59dUsHeSQEsrBJ3T

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 animation-clips-data-quality-audit-deduplication-iqr-outlier-flags-3789f12d -d '<json body>'
```

Example prompt: Can you audit these animation clip records for data quality issues, exact duplicates, and IQR outliers on frame_count? I have rows with row_id, asset_group, date, frame_count, and duration_seconds — up to 200 rows total.

## When to prefer this

Choose this endpoint when you have animation clip records (with frame_count and duration_seconds) and need a combined quality audit, deduplication check, and IQR outlier analysis in a single call at low cost. Ideal for pre-processing pipelines, data cleaning workflows, or QA checks on creative asset datasets. Not suitable for live data lookups, predictive analytics, or datasets exceeding 200 rows per call.

## Known failure modes

- Exceeding 200 rows returns an error — batch must be split
- Missing required fields (row_id, date, frame_count, duration_seconds) causes validation failure
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Null values in numeric fields are accepted but may reduce outlier detection accuracy
- Empty rows array is rejected by minItems:1 constraint

## How this service works

Animation clips — Record quality audit + Exact row deduplication + IQR outlier flags: Record quality audit + Exact row deduplication + IQR outlier flags for supplied animation clips records (frame_count, duration_seconds). 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 reports: (1) a record quality audit identifying missing, malformed, or invalid field values; (2) an exact row deduplication report listing duplicate records; and (3) IQR-based outlier flags for the specified numeric field (frame_count or duration_seconds). All reports are generated locally from the supplied data — 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",
     "frame_count",
     "duration_seconds"
    ],
    "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
     },
     "duration_seconds": {
      "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,
     "duration_seconds": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "asset_group": "group-b",
     "frame_count": 20,
     "duration_seconds": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "asset_group": "group-a",
     "frame_count": 15,
     "duration_seconds": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "asset_group": "group-b",
     "frame_count": 30,
     "duration_seconds": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "frame_count",
    "duration_seconds"
   ],
   "type": "string",
   "default": "frame_count"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/animation-clips-data-quality-audit-deduplication-iqr-outlier-flags-3789f12d/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)