# Simulation Caches — Record Quality Audit + String Normalisation + Daily Sum Series

> Simulation Caches — Record Quality Audit + String Normalisation + Daily Sum Series 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).

Runs three local analytical reports on simulation cache records: record quality audit, string normalisation, and daily sum series aggregation — up to 200 rows per call.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-08-198?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-daily-sum-1d3858a1
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_XAmOaRo9oHEBrE3krcbVM

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-daily-sum-1d3858a1 -d '<json body>'
```

Example prompt: Can you run a record quality audit, string normalisation, and daily sum series on my simulation cache data? I have rows with asset groups like 'group-a' and 'group-b', dates from 2026-10-01 to 2026-10-04, and cache_gb values — use cache_gb as the numeric field.

## When to prefer this

Choose this endpoint when you need three specific analytical operations — quality audit, string normalisation, and daily sum series — performed together on simulation cache data (cache_gb, simulation_seconds) in a single cost-effective call. It is ideal for batch sizes up to 200 rows where no live external data, predictions, or professional assessments are required, and all computation is self-contained.

## Known failure modes

- More than 200 rows submitted — endpoint rejects or truncates input
- Invalid date format (not YYYY-MM-DD) causes row-level errors
- Missing required fields (row_id, asset_group, date) causes validation failure
- Invalid field enum value (not 'cache_gb' or 'simulation_seconds') causes request rejection
- Empty rows array returns an error
- Payment of 0.01 USDC not included or declined results in 402 response

## How this service works

Simulation caches — Record quality audit + String normalisation + Daily sum series: Record quality audit + String normalisation + Daily sum series 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 rows: (1) a record quality audit flagging data issues such as nulls or out-of-range values, (2) a string normalisation report cleaning the asset_group text field, and (3) a daily sum series aggregating the chosen numeric field (cache_gb or simulation_seconds) by date. All processing is local 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-string-normalisation-daily-sum-1d3858a1/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)