# Simulation Caches — Record Quality Audit + Two-Measure Correlation

> Simulation Caches — Record Quality Audit + Two-Measure Correlation 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).

Audits data quality and computes Pearson correlation between cache_gb and simulation_seconds for up to 200 supplied simulation cache records.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-08-015?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-two-measure-correlation-f33e1e93
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_S2L5yUdSHtuZsa5_R20Sg

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-two-measure-correlation-f33e1e93 -d '<json body>'
```

Example prompt: Can you run a data quality audit and correlation analysis on my simulation cache records? I have up to 200 rows with fields like row_id, asset_group, date, cache_gb, and simulation_seconds — I want to know if there are quality issues and how cache size correlates with simulation time.

## When to prefer this

Choose this endpoint when you need both a data quality audit and a bivariate correlation analysis on simulation cache records in a single low-cost call. It is ideal for pre-processing validation before downstream analytics, or when you want to quantify the relationship between cache size and simulation runtime without building custom statistical pipelines. It works entirely on supplied data with no external dependencies.

## Known failure modes

- Fewer than 1 row supplied — minimum row count not met
- More than 200 rows supplied — exceeds maximum row limit
- Missing required fields (row_id, asset_group, date, cache_gb, simulation_seconds) on any row
- Malformed date strings not matching YYYY-MM-DD pattern
- Non-numeric values in cache_gb or simulation_seconds fields
- All cache_gb or simulation_seconds values are null — correlation cannot be computed

## How this service works

Simulation caches — Record quality audit + Two-measure correlation: Record quality audit + Two-measure correlation 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 analytical reports: (1) a record quality audit identifying missing values, out-of-range entries, and data completeness issues per row; and (2) a two-measure correlation report quantifying the statistical relationship between cache_gb and simulation_seconds across all supplied rows. 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
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/simulation-caches-record-quality-audit-two-measure-correlation-f33e1e93/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)