# Animation Budgets — Record Quality Audit + String Normalisation + Grouped Numeric Summary

> Animation Budgets — Record Quality Audit + String Normalisation + Grouped Numeric Summary 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).

Runs three local analytical reports on animation budget data (bone_count, frame_ms): record quality audit, string normalisation, and grouped numeric summary — up to 200 rows, no external lookups.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-game-07-194?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-record-quality-audit-string-normalisation-grouped-002300f2
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_SzuabMKH_ZC_Yol_xXjgB

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-record-quality-audit-string-normalisation-grouped-002300f2 -d '<json body>'
```

Example prompt: Can you run a quality audit, string normalisation, and grouped numeric summary on my animation budget data? I have rows with game_area, date, bone_count, and frame_ms fields — the field I want grouped is bone_count.

## When to prefer this

Choose this endpoint when you have animation budget tabular data (bone_count, frame_ms) and need all three analytical operations — quality audit, string normalisation, and grouped numeric summary — in a single low-cost call ($0.01 USDC). Ideal for game development pipelines where animation data needs cleaning and summarisation before downstream use, with no need for external lookups or predictions.

## Known failure modes

- Rows array is empty or missing — validation error returned
- More than 200 rows submitted — request rejected with item limit error
- Invalid date format (not YYYY-MM-DD) in any row — schema validation failure
- Field value outside allowed numeric range — rejected by schema constraints
- row_id missing or blank — required field error
- Invalid enum value for field parameter (must be bone_count or frame_ms)

## How this service works

Animation budgets — Record quality audit + String normalisation + Grouped numeric summary: Record quality audit + String normalisation + Grouped numeric summary for supplied animation budgets records (bone_count, frame_ms). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.

## Output

Returns three independent reports: (1) a record quality audit identifying malformed, missing, or out-of-range values; (2) a string normalisation report standardising game_area and other string fields; and (3) a grouped numeric summary (counts, means, min/max, etc.) for the selected field (bone_count or frame_ms) segmented by game_area — all computed locally without any external data lookup.

## 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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/animation-budgets-record-quality-audit-string-normalisation-grouped-002300f2/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)