# Simulation Caches — Record Quality Audit + Numeric Distribution

> Simulation Caches — Record Quality Audit + Numeric Distribution is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-22).

Runs a data quality audit and numeric distribution analysis on simulation cache records (cache_gb, simulation_seconds) for up to 200 rows, returning two independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-08-004?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-22
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/simulation-caches-record-quality-audit-numeric-distribution-67369660
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_IN-px7z3dTrFFkWZoDjUr

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 simulation-caches-record-quality-audit-numeric-distribution-67369660 -d '<json body>'
```

Example prompt: Can you run a record quality audit and numeric distribution report on my simulation cache data? Here are 4 rows — row-1 on 2026-10-01 with cache_gb=10 and simulation_seconds=1 for group-a, row-2 on 2026-10-02 with cache_gb=20 and simulation_seconds=2 for group-b, row-3 on 2026-10-03 with cache_gb=15 and simulation_seconds=3 for group-a, and row-4 on 2026-10-04 with cache_gb=30 and simulation_seconds=4 for group-b — and focus the distribution on cache_gb.

## When to prefer this

Choose this endpoint when you need both a data quality audit and a numeric distribution analysis on simulation cache records (cache_gb, simulation_seconds) in a single $0.01 call covering up to 200 rows. It is ideal when you want two bundled reports without making separate API calls and when all data is supplied inline (no external data sources needed). Prefer alternatives if you need outlier flagging, deduplication, grouped summaries, or more than 200 rows.

## Known failure modes

- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, asset_group, date, cache_gb, simulation_seconds) causes rejection
- Invalid date format (non-YYYY-MM-DD) triggers a pattern validation error
- Supplying an invalid field enum value (not cache_gb or simulation_seconds) returns an error
- Empty rows array rejected due to minItems:1 constraint

## How this service works

Simulation caches — Record quality audit + Numeric distribution: Record quality audit + Numeric distribution for supplied simulation caches records (cache_gb, simulation_seconds). 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 independent analytical reports: (1) a record quality audit identifying completeness issues, invalid values, formatting problems, or anomalies across the supplied rows; and (2) a numeric distribution report (statistics such as min, max, mean, percentiles, counts) for the selected numeric field (cache_gb or simulation_seconds). 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",
     "asset_group",
     "date",
     "cache_gb",
     "simulation_seconds"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "cache_gb": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "asset_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "simulation_seconds": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "cache_gb": 10,
     "asset_group": "group-a",
     "simulation_seconds": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "cache_gb": 20,
     "asset_group": "group-b",
     "simulation_seconds": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "cache_gb": 15,
     "asset_group": "group-a",
     "simulation_seconds": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "cache_gb": 30,
     "asset_group": "group-b",
     "simulation_seconds": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "cache_gb",
    "simulation_seconds"
   ],
   "type": "string",
   "default": "cache_gb"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/simulation-caches-record-quality-audit-numeric-distribution-67369660/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)