# Animation Budgets — Category Frequencies + Base-100 Series

> Animation Budgets — Category Frequencies + Base-100 Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-23).

Analyzes animation budget records (bone_count, frame_ms) to produce category frequency distributions and a Base-100 indexed time series for a chosen metric.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-game-07-105?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-23
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/animation-budgets-category-frequencies-base-100-series-5d868c9b
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_3g2JoWAK2-9kC_SrMY4Bv

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-budgets-category-frequencies-base-100-series-5d868c9b -d '<json body>'
```

Example prompt: I have animation budget data for my game with bone_count and frame_ms measurements across different game areas — can you run a category frequency report and a Base-100 series on bone_count, using row 0 as the base index, for these records?

## When to prefer this

Choose this endpoint when you have animation budget tabular data (bone_count and frame_ms keyed by game area and date) and need both a categorical frequency breakdown and a normalized Base-100 time series in a single low-cost call. Ideal for game developers doing lightweight performance budget analysis without needing live lookups, ML predictions, or external data enrichment.

## Known failure modes

- Fewer than 1 row supplied — minimum 1 row required
- More than 200 rows supplied — excess rows will be rejected
- Invalid date format (must be YYYY-MM-DD)
- Missing required row fields: row_id, game_area, date, bone_count, frame_ms
- base_index out of range (must be 0–199 and within actual row count)
- base_index row has a null or zero value for the selected field — division by zero in Base-100 calculation
- field value not in allowed enum: must be 'bone_count' or 'frame_ms'

## How this service works

Animation budgets — Category frequencies + Base-100 series: Category frequencies + Base-100 series for supplied animation budgets records (bone_count, frame_ms). 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 often each game_area value appears in the supplied rows, and (2) a Base-100 indexed series for the selected numeric field (bone_count or frame_ms), where the value at base_index row is set to 100 and all other values are expressed relative to it. Both reports are computed locally from the supplied data with no external lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "game_area",
     "date",
     "bone_count",
     "frame_ms"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "frame_ms": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "game_area": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "bone_count": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "frame_ms": 1,
     "game_area": "group-a",
     "bone_count": 10
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "frame_ms": 2,
     "game_area": "group-b",
     "bone_count": 20
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "frame_ms": 3,
     "game_area": "group-a",
     "bone_count": 15
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "frame_ms": 4,
     "game_area": "group-b",
     "bone_count": 30
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "bone_count",
    "frame_ms"
   ],
   "type": "string",
   "default": "bone_count"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/animation-budgets-category-frequencies-base-100-series-5d868c9b/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)