# Animation Clips — Category Frequencies + Adjacent Row Changes

> Animation Clips — Category Frequencies + Adjacent Row Changes 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).

Analyzes animation clip records to produce two reports: category frequency counts by asset group and adjacent row change detection for frame_count or duration_seconds fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-07-104?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-adjacent-row-changes-0fb33ad3
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_iMU3Q-pfbIg72pEcPhn-a

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-adjacent-row-changes-0fb33ad3 -d '<json body>'
```

Example prompt: Can you analyze these 4 animation clip records — row-1 group-a 2026-10-01 frame_count 10 duration 1s, row-2 group-b 2026-10-02 frame_count 20 duration 2s, row-3 group-a 2026-10-03 frame_count 15 duration 3s, row-4 group-b 2026-10-04 frame_count 30 duration 4s — and give me both a category frequency breakdown by asset_group and the adjacent row changes in frame_count?

## When to prefer this

Use this endpoint when you have animation clip tabular data and need both a categorical distribution summary (how many clips per asset group) and a sequential numeric change report (how values shift row-to-row) in a single low-cost call. Ideal for animation pipeline QA, asset audits, and creative dataset profiling where no external data, predictions, or live lookups are needed.

## Known failure modes

- Missing required fields (row_id, date, asset_group) cause validation errors
- Exceeding 200 rows results in rejection
- Invalid date format (non-YYYY-MM-DD) triggers schema error
- Invalid field enum value (not frame_count or duration_seconds) causes error
- Empty rows array rejected by minItems constraint
- Numeric values outside allowed range cause validation failure

## How this service works

Animation clips — Category frequencies + Adjacent row changes: Category frequencies + Adjacent row changes 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 category frequency table showing how many rows belong to each distinct asset_group value, and (2) an adjacent row change report showing the difference in the selected numeric field (frame_count or duration_seconds) between each consecutive row — both 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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/animation-clips-category-frequencies-adjacent-row-changes-0fb33ad3/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)