# Simulation Caches — Record Quality Audit + String Normalisation + Secondary-Measure Weighted Mean

> Simulation Caches — Record Quality Audit + String Normalisation + Secondary-Measure Weighted Mean 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 three local analytical reports on simulation cache records: record quality audit, string normalisation, and secondary-measure weighted mean, for up to 200 rows of cache_gb and simulation_seconds data.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-08-205?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-string-normalisation-secondary-c77bfa9e
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_INq8aVN6avMP6uN6E3wGG

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-string-normalisation-secondary-c77bfa9e -d '<json body>'
```

Example prompt: Can you run a record quality audit, string normalisation, and weighted mean analysis on my simulation cache data — I have rows with cache_gb and simulation_seconds fields for groups like 'group-a' and 'group-b' across October 2026, and I want the weighted mean computed on cache_gb?

## When to prefer this

Choose this endpoint when you need three combined local analytical operations — quality audit, string normalisation, and weighted mean — on simulation cache records (cache_gb, simulation_seconds) in a single low-cost call. It is ideal when you have up to 200 rows of simulation data and want bundled reporting without external API dependencies, live data lookups, or professional assessments. Prefer alternatives if you need real-time simulation metrics, predictions, or more than 200 rows processed at once.

## Known failure modes

- More than 200 rows submitted — endpoint rejects input exceeding maxItems limit
- Missing required fields (row_id, date, cache_gb, simulation_seconds, asset_group) cause validation errors
- Malformed date strings not matching YYYY-MM-DD pattern rejected
- Numeric values outside allowed range (-1e12 to 1e12) fail schema validation
- Empty rows array (minItems:1 not met) returns error
- Invalid field enum value (not cache_gb or simulation_seconds) causes rejection

## How this service works

Simulation caches — Record quality audit + String normalisation + Secondary-measure weighted mean: Record quality audit + String normalisation + Secondary-measure weighted mean for supplied simulation caches records (cache_gb, simulation_seconds). 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

Returns three independent analytical reports for the submitted simulation cache rows: (1) a record quality audit flagging missing, invalid, or anomalous values; (2) a string normalisation report cleaning asset_group and other string fields; and (3) a secondary-measure weighted mean of the selected field (cache_gb or simulation_seconds), all computed locally without 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-string-normalisation-secondary-c77bfa9e/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)