# Animation Budgets — Record Quality Audit + Exact Row Deduplication + Numeric Interval Filter

> Animation Budgets — Record Quality Audit + Exact Row Deduplication + Numeric Interval Filter is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-24).

Runs three local analytical reports on animation budget records (bone_count, frame_ms): a data quality audit, exact row deduplication, and a numeric interval filter — all in a single $0.01 USDC call for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-game-07-214?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-24
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/animation-budgets-record-quality-audit-exact-row-deduplication-b65c6873
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_pWAaKOM1LU9knq1_BE9Uw

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-exact-row-deduplication-b65c6873 -d '<json body>'
```

Example prompt: Can you run a quality audit, deduplicate exact rows, and filter by bone_count between 0 and 100 on this set of animation budget records I have — each row has a row_id, game_area, date, bone_count, and frame_ms?

## When to prefer this

Choose this endpoint when you have animation budget tabular data (up to 200 rows) and need simultaneous data quality auditing, deduplication, and numeric range filtering in one low-cost call — especially for game development pipelines where bone_count and frame_ms are the key metrics. It is purely local/analytical with no external calls, making it fast, deterministic, and suitable for automated QA workflows.

## Known failure modes

- Fewer than 1 row provided — request rejected
- More than 200 rows submitted — request rejected
- Invalid date format (not YYYY-MM-DD) — row fails validation
- Missing required fields (row_id, game_area, date, bone_count, frame_ms) — row rejected
- minimum greater than maximum — interval filter may return empty results
- Field enum value other than 'bone_count' or 'frame_ms' — request rejected

## How this service works

Animation budgets — Record quality audit + Exact row deduplication + Numeric interval filter: Record quality audit + Exact row deduplication + Numeric interval filter 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

Three independent report outputs: (1) a record quality audit identifying missing, malformed, or out-of-range values; (2) an exact row deduplication report listing duplicate records; and (3) a numeric interval filter report identifying rows where the selected field (bone_count or frame_ms) falls within or outside the specified minimum/maximum range. All computed locally 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"
  },
  "maximum": {
   "type": "number",
   "default": 100,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  },
  "minimum": {
   "type": "number",
   "default": 0,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/animation-budgets-record-quality-audit-exact-row-deduplication-b65c6873/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)