# Simulation Caches — Numeric Distribution + Trailing Mean Series

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

Computes numeric distribution statistics and a trailing mean series for cache_gb and simulation_seconds fields across up to 200 simulation cache records.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-08-076?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-numeric-distribution-trailing-mean-series-3932e917
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_0lBItC-29_4k8HBhrraqR

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-numeric-distribution-trailing-mean-series-3932e917 -d '<json body>'
```

Example prompt: Analyze my simulation cache records — I have 4 rows with cache_gb values like 10, 20, 15, 30 and simulation_seconds like 1, 2, 3, 4 across dates 2026-10-01 through 2026-10-04 for groups a and b — give me the numeric distribution and trailing mean series for cache_gb with a window of 2.

## When to prefer this

Choose this endpoint when you need both a numeric distribution summary and a trailing mean time series for simulation cache metrics (cache_gb or simulation_seconds) from your own supplied data, without requiring any external data source or live lookup. It is ideal for lightweight, batch statistical analysis of up to 200 simulation cache records at very low cost ($0.01 USDC for both reports).

## Known failure modes

- Fewer than 1 row submitted returns an error
- More than 200 rows submitted exceeds limit
- Invalid date format (not YYYY-MM-DD) causes validation failure
- Window size outside 2–200 range is rejected
- Missing required fields (row_id, asset_group, date, cache_gb, simulation_seconds) cause schema validation errors
- Non-numeric values in cache_gb or simulation_seconds (when not null) may cause computation errors
- Payment of 0.01 USDC not provided results in 402 response

## How this service works

Simulation caches — Numeric distribution + Trailing mean series: Numeric distribution + Trailing mean series 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 for the supplied simulation cache records: (1) a numeric distribution summary (e.g. min, max, mean, percentiles, histogram) for the specified field, and (2) a trailing mean series computed over the specified window size — all computed locally from submitted 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"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/simulation-caches-numeric-distribution-trailing-mean-series-3932e917/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)