# Animation Clips — Record Quality Audit + IQR Outlier Flags

> Animation Clips — Record Quality Audit + 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).

Performs a record quality audit and IQR-based outlier detection on up to 200 animation clip records (frame_count, duration_seconds), returning two independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-07-014?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-record-quality-audit-iqr-outlier-flags-747c22fe
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_R4pHxfWd20ArbIgKAOcd6

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-record-quality-audit-iqr-outlier-flags-747c22fe -d '<json body>'
```

Example prompt: Can you audit the quality of these animation clip records and flag any IQR outliers in frame_count? I have about 50 rows with fields like row_id, asset_group, date, frame_count, and duration_seconds — I want both the record quality report and the outlier flags.

## When to prefer this

Choose this endpoint when you have animation clip tabular data (with frame_count and duration_seconds) and need both a record-level quality audit and statistical outlier detection in a single call. It is ideal for pre-processing pipelines where you want to catch bad or anomalous records before downstream rendering or ingestion, without requiring any external data sources or live lookups. Prefer it over generic data quality tools when your data specifically matches the animation clip schema (row_id, asset_group, date, frame_count, duration_seconds).

## Known failure modes

- Fewer than 1 row supplied — minimum of 1 row required
- More than 200 rows supplied — exceeds maxItems limit
- Missing required fields (row_id, asset_group, date, frame_count, duration_seconds) on any row
- Date field does not match YYYY-MM-DD format — pattern validation failure
- Invalid field enum value supplied — must be 'frame_count' or 'duration_seconds'
- Numeric fields out of supported range (±1,000,000,000,000)
- Payment not provided or insufficient — endpoint requires $0.01 USDC via x402 protocol

## How this service works

Animation clips — Record quality audit + IQR outlier flags: Record quality audit + IQR outlier flags for supplied animation clips records (frame_count, duration_seconds). 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

Two independent analytical reports: (1) a record quality audit identifying issues such as nulls, invalid values, and data completeness problems across the supplied animation clip rows, and (2) an IQR-based outlier detection report flagging records whose frame_count or duration_seconds values fall outside the interquartile range. Both reports are generated locally from the supplied data 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",
     "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-record-quality-audit-iqr-outlier-flags-747c22fe/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)