← Top 100 Full directory (1,587)

Aleatoric

Dev Tools Remote ★ 1,125 9 tools

Aleatoric Engine is deterministic market simulation infrastructure for generating reproducible, schema-stable synthetic market data used in financial research, validation, and systems testing. It prioritizes explicit configuration, reproducibility, and operational clarity over statistical novelty or predictive modeling. Given the same SimulationManifest and seed, the engine produces identical outputs, enforces strict versioned schemas at boundaries, and emits provenance metadata with every run. Outputs include L2 order books, trade events, and funding events in Parquet, JSONL, or streaming form. Aleatoric Engine is infrastructure—not a predictive system—and it does not generate trading signals, optimize strategies, or forecast prices.

Connect

MCP endpoint

https://causal-mcp--aleatoric.run.tools

How to connect

Smithery (hosted)

1. Open https://smithery.ai/servers/aleatoric/causal-mcp
2. Click Connect and complete OAuth in your MCP client (Claude, Cursor, VS Code, etc.)
3. MCP endpoint: https://causal-mcp--aleatoric.run.tools

Tools (9)

get_health
Check server health status. Returns OK if the server is running correctly.
get_presets
List available market simulation presets. Returns preset names and configurations for common scenarios like high-volatility BTC or stable ETH markets.
get_config_schema
Get the JSON Schema for SimulationManifest configuration. Use this to understand all available configuration options.
validate_config
Validate a simulation configuration and get its deterministic hash. The hash ensures reproducibility - same config always produces same data.
generate_dataset
Generate synthetic L2 order book market data. Returns a download URL for a Parquet file containing trades and book updates.
normalize_events
Normalize raw exchange data to a canonical format. Converts exchange-specific payloads to unified event schema.
simulate_funding_regime
Simulate perpetual futures funding rates over multiple periods. Calculates expected funding payments based on spot-mark price divergence.
get_venue_details
Get exchange adapter capabilities including supported symbols, tick sizes, trading hours, and fee structures.
get_cache_stats
Get statistics about cached datasets including count, total size, and compression ratios.