# Physics Scenes — Record Quality Audit + String Normalisation + Date by Category Pivot

> Physics Scenes — Record Quality Audit + String Normalisation + 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 2026-11-04).

Runs three analytical reports on physics scene records (body_count, step_ms): a record quality audit, string normalisation, and a date-by-category pivot, for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-game-08-206?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-11-04
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/physics-scenes-record-quality-audit-string-normalisation-date-by-1a133155
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_OB2DDrNxkHTxyGnnfGCO1

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 physics-scenes-record-quality-audit-string-normalisation-date-by-1a133155 -d '<json body>'
```

Example prompt: Can you run all three reports — record quality audit, string normalisation, and date-by-category pivot — on my physics scene data? I have up to 50 rows with fields row_id, game_area, date, body_count, and step_ms, and I want to analyse the body_count field.

## When to prefer this

Choose this endpoint when you have physics scene simulation records with body_count and step_ms fields and need all three of a data quality audit, string normalisation, and date-by-category pivot in a single low-cost call. It is ideal for batch offline analysis of up to 200 rows with no need for live data lookup or external prediction.

## Known failure modes

- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, game_area, date, body_count, step_ms) cause validation errors
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Numeric values outside allowed range cause validation failure
- Empty rows array returns an error

## How this service works

Physics scenes — Record quality audit + String normalisation + Date by category pivot: Record quality audit + String normalisation + Date by category pivot for supplied physics scenes records (body_count, step_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 analytical reports delivered together: (1) a record quality audit flagging data issues such as nulls or out-of-range values, (2) string normalisation output for the game_area and other string fields, and (3) a date-by-category pivot table summarising the selected numeric field (body_count or step_ms) grouped by date and game area.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/physics-scenes-record-quality-audit-string-normalisation-date-by-1a133155/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)