Generate reproducible synthetic market data
causal-mcpmcp_serversetup L2★0
smithery:aleatoric/causal-mcp ↗What it does
Generate deterministic synthetic market data
Best for
Quantitative research and stress testing with reproducible market simulation datasets.
Inputs
- · venue parameters (Binance/OKX/CME)
- · L2 order book specs
- · funding rate regimes
- · seed values
Outputs
- · L2 order books
- · funding rate timeseries
- · Parquet datasets
- · reproducible manifests
Requires
- · Aleatoric API
- · HTTPS REST endpoint
Preconditions
- · Deterministic seeds required
- · venue microstructure calibrated
Failure modes
- · Manifest mismatch
- · venue unsupported
- · seed collision
Trust signals
- · Cryptographic manifest reproducibility
- · Multi-venue support
- · Calibrated against real data