# Animation Clips Numeric Distribution and IQR Outlier Flags

> Animation Clips Numeric Distribution and 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).

Computes numeric distribution statistics and IQR-based outlier flags for animation clip records (frame_count and/or duration_seconds) across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-07-080?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-numeric-distribution-and-iqr-outlier-flags-1426f557
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Z9H5f-98mcfoD3ivCI994

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-numeric-distribution-and-iqr-outlier-flags-1426f557 -d '<json body>'
```

Example prompt: Can you analyze the distribution of frame_count values in my animation clips and flag any IQR outliers? Here are my clips: row-1 (group-a, 2026-10-01, frame_count=10, duration_seconds=1), row-2 (group-b, 2026-10-02, frame_count=200, duration_seconds=2), row-3 (group-a, 2026-10-03, frame_count=15, duration_seconds=3), row-4 (group-b, 2026-10-04, frame_count=30, duration_seconds=4).

## When to prefer this

Choose this endpoint when you have a batch of animation clip records and need both a distributional summary and IQR-based outlier flags for frame_count or duration_seconds — especially when working locally without an external analytics pipeline. Ideal for QA workflows, pre-production data checks, or pipeline audits on up to 200 clips at $0.01 per call. Not suitable if you need live lookup, predictions, or analysis on non-animation datasets.

## Known failure modes

- Empty or missing rows array returns a validation error
- More than 200 rows supplied exceeds the row limit and is rejected
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Missing required fields (row_id, frame_count, duration_seconds) triggers a field-level error
- Invalid field enum value (not frame_count or duration_seconds) causes rejection
- All-null values for the selected numeric field may yield empty or degenerate distribution results

## How this service works

Animation clips — Numeric distribution + IQR outlier flags: Numeric distribution + 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

Returns two reports per call: one numeric distribution summary (min, max, mean, quartiles, IQR, etc.) and one set of IQR-based outlier flags per row, for the selected field (frame_count or duration_seconds) across up to 200 supplied animation clip records.

## 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-numeric-distribution-and-iqr-outlier-flags-1426f557/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)