# Animation Clips Category Frequencies + Two-Measure Correlation

> Animation Clips Category Frequencies + Two-Measure Correlation 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 category frequency counts and Pearson/Spearman correlation between frame_count and duration_seconds for up to 200 animation clip records, returning two independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-07-108?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-category-frequencies-two-measure-correlation-7a4dae7b
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_ONI56RyPAuoVwG37MARDn

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-category-frequencies-two-measure-correlation-7a4dae7b -d '<json body>'
```

Example prompt: Can you run a category frequency count and a correlation analysis between frame_count and duration_seconds for these 150 animation clip records I have — each row has a row_id, asset_group, date, frame_count, and duration_seconds?

## When to prefer this

Choose this endpoint when you have animation clip metadata (frame counts and durations) and need both a category frequency distribution of asset groups and a statistical correlation between the two numeric measures in a single API call. It is ideal for batch analysis of up to 200 records without needing live external data, predictive modeling, or professional assessment — just fast local computation on supplied data.

## Known failure modes

- Fewer than 1 row submitted — minimum row count not met
- More than 200 rows submitted — exceeds maximum batch size
- Missing required fields (row_id, asset_group, date, frame_count, duration_seconds) on any row
- Invalid date format — must match YYYY-MM-DD pattern
- Null values in both numeric columns preventing correlation computation
- row_id exceeds 80 character limit
- Payment of 0.01 USDC not provided or rejected

## How this service works

Animation clips — Category frequencies + Two-measure correlation: Category frequencies + Two-measure correlation 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 independent analytical reports: (1) a category frequency table showing count of records per asset_group value, and (2) a two-measure correlation result quantifying the statistical relationship between frame_count and duration_seconds across the supplied rows. Both reports are computed locally from the submitted 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
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/animation-clips-category-frequencies-two-measure-correlation-7a4dae7b/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)
