# Animation Clips Trailing Mean Series + Missing Value Fill

> Animation Clips Trailing Mean Series + Missing Value Fill 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 trailing moving average series and fills missing values for animation clip metrics (frame_count or duration_seconds) across up to 200 rows of supplied data.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-07-154?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-trailing-mean-series-missing-value-fill-a43b109e
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_y1RGUf5GkssJbroZL1vvv

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-trailing-mean-series-missing-value-fill-a43b109e -d '<json body>'
```

Example prompt: I have animation clip records for two asset groups with frame_count and duration_seconds by date — can you run a trailing mean series with a window of 3 and fill any missing frame_count values using median imputation across up to 50 rows?

## When to prefer this

Choose this endpoint when you need both a trailing moving average series and missing-value imputation for animation clip metrics (frame_count or duration_seconds) in a single low-cost call. Ideal for creative production pipelines needing local statistical smoothing and data cleaning without external data sources or ML predictions. Best when working with up to 200 rows of dated, grouped animation records.

## Known failure modes

- Empty or malformed rows array returns validation error
- Row count exceeding 200 items rejected
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Window size outside 2–200 range rejected
- Field value not in enum (frame_count, duration_seconds) causes error
- Method value not in enum (zero, mean, median) causes error
- Payment of 0.01 USDC not provided or rejected blocks execution

## How this service works

Animation clips — Trailing mean series + Explicit missing-value fill: Trailing mean series + Explicit missing-value fill 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 trailing mean series showing the rolling average of the selected metric (frame_count or duration_seconds) over the specified window, and (2) a missing-value fill report showing imputed values using the chosen method (zero, mean, or median). Both reports are computed locally from the supplied data, with no external lookups or predictions.

## 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"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/animation-clips-trailing-mean-series-missing-value-fill-a43b109e/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)