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

> Physics Scenes — Record Quality Audit + 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 2026-10-30).

Runs two analytical reports on physics scene records: a record quality audit and a date-by-category pivot, using body_count or step_ms as the metric field.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-game-08-017?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-30
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/physics-scenes-record-quality-audit-date-by-category-pivot-5289779b
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_kARtj5Y108W8pNDzkIEsl

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-date-by-category-pivot-5289779b -d '<json body>'
```

Example prompt: Can you run a record quality audit and a date-by-category pivot on my physics scene data — I have rows with row_id, game_area, date, body_count, and step_ms fields (up to 200 rows) and I want to analyze the body_count metric?

## When to prefer this

Choose this endpoint when you need both a data quality audit and a date-by-category pivot on physics scene records in a single low-cost call. It is ideal for game developers or simulation engineers who want to validate their body_count or step_ms data and explore trends by game area and date without any external API calls or live data lookups. Best suited for batch sizes up to 200 rows at $0.01 per call.

## Known failure modes

- Fewer than 1 row supplied returns validation error
- More than 200 rows exceeds the maxItems limit and is rejected
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Numeric values outside allowed range trigger input rejection
- Missing required fields (row_id, game_area, date) cause row-level errors
- Invalid field enum value (not body_count or step_ms) causes rejection

## How this service works

Physics scenes — Record quality audit + Date by category pivot: Record quality audit + Date by category pivot for supplied physics scenes records (body_count, step_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

Two analytical reports: (1) a record quality audit flagging completeness, null values, and anomalies in the supplied rows; and (2) a date-by-category pivot table summarizing the chosen numeric field (body_count or step_ms) broken down by date and game_area category. 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",
     "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-date-by-category-pivot-5289779b/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)