# Aleatoric Engine

> Use this tool when you need to generate high-quality synthetic market data for backtesting and validation workflows. The Aleatoric Engine solves problems related to data scarcity and reproducibility, supporting multiple exchanges and allowing for simulation of extreme market conditions. It takes exchange specifications and seed values as inputs and outputs institutional-grade synthetic market data, making it ideal for use cases requiring reliable and consistent dataset generation.

Canonical page: https://skillsregistry.net/skills/aleatoric-systems  
JSON: https://api.skillsregistry.net/v1/skills/aleatoric-systems

## Description

Aleatoric Engine provides AI assistants with tools to generate institutional-grade synthetic market data. It supports reproducible dataset generation across Binance, HyperLiquid, OKX, Bybit, CME, and SGX exchanges, enabling simulation of extreme market conditions with consistent seeds for backtesting and validation workflows.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/aleatoric-systems)
- **Repository:** <https://github.com/aleatoric-systems/aleatoric-engine-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "aleatoric-systems"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/aleatoric-systems` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/aleatoric-systems/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt