# Animation Clips — Base-100 Series + IQR Outlier Flags

> Animation Clips — Base-100 Series + 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 Base-100 indexed time series and IQR-based outlier flags for animation clip metrics (frame_count, duration_seconds) across up to 200 rows, returning two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-07-164?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-base-100-series-iqr-outlier-flags-321a6c48
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_kYCmh9C-jGKle3cBxbkR5

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-base-100-series-iqr-outlier-flags-321a6c48 -d '<json body>'
```

Example prompt: I have a list of up to 200 animation clip records with frame counts and durations — can you normalize the frame_count field to a Base-100 series starting from the first row and flag any IQR outliers across all the rows?

## When to prefer this

Choose this endpoint when you need both a Base-100 time series normalization and IQR outlier detection on animation clip metrics (frame_count or duration_seconds) in a single call. It is ideal for creative production pipelines that need to benchmark clips against a baseline row and simultaneously surface statistical anomalies, without requiring external data lookups or predictions. Prefer it over general-purpose analytics when your data fits the animation clip schema and you want two reports bundled at low cost.

## Known failure modes

- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, date, frame_count, duration_seconds) causing validation errors
- base_index out of bounds (must be 0–199 and within the actual row count)
- All numeric values are null, preventing IQR computation
- Date strings not matching YYYY-MM-DD format causing schema validation failure
- Numeric values outside allowed range causing rejection

## How this service works

Animation clips — Base-100 series + IQR outlier flags: Base-100 series + 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 analytical reports: (1) a Base-100 indexed series for the selected metric (frame_count or duration_seconds) relative to the specified base row, and (2) IQR-based outlier flags indicating which rows fall outside the interquartile range bounds — all computed locally without 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"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/animation-clips-base-100-series-iqr-outlier-flags-321a6c48/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)