# Animation Clips — Grouped Numeric Summary + Trailing Mean Series

> Animation Clips — Grouped Numeric Summary + Trailing Mean Series 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 a grouped numeric summary and a trailing mean time series for animation clip records (frame_count or duration_seconds), returning two analytical reports from user-supplied data.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-07-090?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-grouped-numeric-summary-trailing-mean-series-d8b25f5b
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_udscBRH7eBYcEH-C9fhJr

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-grouped-numeric-summary-trailing-mean-series-d8b25f5b -d '<json body>'
```

Example prompt: Can you run a grouped summary and trailing mean series on my animation clip data? I have frame_count and duration_seconds for rows across groups like 'group-a' and 'group-b' over several dates — use frame_count as the field and a window size of 3.

## When to prefer this

Choose this endpoint when you need both a grouped categorical summary and a rolling/trailing mean time series for animation clip metrics (frame_count or duration_seconds) in a single API call. It is ideal for creative/media production workflows where clips are tagged with asset groups and dates, and you want up to two analytical views without building your own analytics pipeline. Prefer this over generic analytics endpoints when your data specifically models animation clips with the required schema fields.

## Known failure modes

- Missing required fields (row_id, asset_group, date, frame_count, duration_seconds) cause validation errors
- Date strings not matching YYYY-MM-DD pattern are rejected
- More than 200 rows supplied exceeds the row limit
- Invalid field enum value (anything other than frame_count or duration_seconds) causes an error
- Window value outside 2–200 range is rejected
- All-null values for the selected field may produce empty or degenerate statistics

## How this service works

Animation clips — Grouped numeric summary + Trailing mean series: Grouped numeric summary + Trailing mean series 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 analytical reports: (1) a grouped numeric summary (e.g. count, mean, min, max, std) of the selected field (frame_count or duration_seconds) broken down by asset_group; and (2) a trailing mean time series of the selected field over the specified rolling window, both computed locally on the supplied rows (up to 200).

## 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"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/animation-clips-grouped-numeric-summary-trailing-mean-series-d8b25f5b/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)