# Simulation Caches — Record Quality Audit + String Normalisation + Numeric Interval Filter

> Simulation Caches — Record Quality Audit + String Normalisation + Numeric Interval Filter is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-21).

Audits record quality, normalises strings, and filters by numeric interval for up to 200 simulation cache records (cache_gb, simulation_seconds) in three independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-08-197?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-21
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/simulation-caches-record-quality-audit-string-normalisation-numeric-2504e225
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_of6IkV9WV-k3Mh3b0omFg

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-numeric-2504e225 -d '<json body>'
```

Example prompt: Can you run a record quality audit, string normalisation, and numeric interval filter on my simulation cache data? I have about 50 rows with cache_gb and simulation_seconds values — I want to filter cache_gb between 0 and 100 and get all three reports back.

## When to prefer this

Choose this endpoint when you have simulation cache records with cache_gb and/or simulation_seconds numeric fields and need three combined analytical operations — quality audit, string normalisation, and numeric interval filtering — in a single low-cost call (up to 200 rows, $0.01 USDC). It is ideal for data engineering pre-processing workflows where you want to validate, clean, and filter simulation data without any external API calls or live predictions.

## Known failure modes

- Submitting more than 200 rows returns a validation error
- Missing required fields (row_id, asset_group, date, cache_gb, simulation_seconds) causes row-level rejection
- Invalid date format (non-YYYY-MM-DD) triggers schema validation failure
- Minimum greater than maximum for interval filter may produce empty filter results or an error
- Numeric values outside the allowed range (-1e12 to 1e12) are rejected by schema validation

## How this service works

Simulation caches — Record quality audit + String normalisation + Numeric interval filter: Record quality audit + String normalisation + Numeric interval filter 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 supplied simulation cache rows: (1) a record quality audit identifying issues like missing or malformed values; (2) a string normalisation report for fields such as asset_group and date; and (3) a numeric interval filter report identifying which rows fall within or outside the specified minimum/maximum bounds for the selected numeric field (cache_gb or simulation_seconds). All analysis is performed locally with no external lookups or live data.

## 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"
  },
  "maximum": {
   "type": "number",
   "default": 100,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  },
  "minimum": {
   "type": "number",
   "default": 0,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/simulation-caches-record-quality-audit-string-normalisation-numeric-2504e225/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)