# Animation Clips String Normalisation and Daily Sum Series

> Animation Clips String Normalisation and Daily Sum Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-22).

Computes string normalisation and daily sum series for animation clip data (frame_count or duration_seconds) across up to 200 rows, returning two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-07-027?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-22
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/animation-clips-string-normalisation-and-daily-sum-series-cbbe1c2f
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_AC06SZYXK_cRW5-pxX65i

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-string-normalisation-and-daily-sum-series-cbbe1c2f -d '<json body>'
```

Example prompt: Can you run string normalisation and daily sum series reports on these animation clips — I have rows with frame_count and duration_seconds for asset groups A and B across dates in October 2026, and I want the analysis for frame_count?

## When to prefer this

Choose this endpoint when you have animation clip records with frame_count or duration_seconds metrics and need both a string normalisation pass and a daily sum time series in a single cheap call ($0.01 USDC for both reports). Ideal for creative production pipelines needing lightweight local analytics on up to 200 rows without requiring external data sources or live lookups.

## Known failure modes

- More than 200 rows submitted — request rejected or truncated
- Missing required fields (row_id, date, asset_group, frame_count, or duration_seconds) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- field enum value not one of frame_count or duration_seconds — invalid input
- All numeric values are null — unable to compute meaningful aggregates

## How this service works

Animation clips — String normalisation + Daily sum series: String normalisation + Daily sum 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 string normalisation report transforming the selected numeric field (frame_count or duration_seconds) across all supplied rows, and (2) a daily sum series aggregating that field by date — both computed locally from the supplied data without any 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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/animation-clips-string-normalisation-and-daily-sum-series-cbbe1c2f/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)