# Animation Clips Category Frequencies + Date by Category Pivot

> Animation Clips Category Frequencies + Date by Category Pivot 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 user-supplied animation clip records to produce two local analytical reports: category frequency counts and a date-by-category pivot table, based on frame_count or duration_seconds.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-07-110?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-date-by-category-pivot-9222af09
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_07_RdFy_FRbR5rZKM-Q_l

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-date-by-category-pivot-9222af09 -d '<json body>'
```

Example prompt: Can you run a category frequency count and date-by-category pivot on my animation clips data — I have about 50 rows with asset_group, date, frame_count, and duration_seconds — and use frame_count as the measure field?

## When to prefer this

Choose this endpoint when you need two fast, offline analytical reports on animation clip data — category frequency distribution and a date-by-category pivot — without any external data enrichment or prediction. Ideal for up to 200 rows of animation asset records where you want both reports in a single $0.01 call. Prefer over generic data tools when your data specifically uses the animation clip schema (asset_group, frame_count, duration_seconds).

## Known failure modes

- Rows array empty or missing — validation error returned
- More than 200 rows submitted — request rejected
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- field value not in enum [frame_count, duration_seconds] — schema error
- Null numeric values may be excluded or treated as zero in aggregations
- row_id missing or empty string — required field validation error

## How this service works

Animation clips — Category frequencies + Date by category pivot: Category frequencies + Date by category pivot 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 category frequency table showing how often each asset_group appears in the supplied rows, and (2) a date-by-category pivot table aggregating the selected numeric field (frame_count or duration_seconds) across dates and asset groups. Results are computed entirely on supplied 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
  },
  "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-date-by-category-pivot-9222af09/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)