Self-hosted forecasting + prediction service. Five zero-shot time-series foundation models (Chronos-2, TimesFM 2.5, Moirai-2, Toto-1, Sundial) across six forecast types, plus nine supervised tabular ML backends (LightGBM, XGBoost, sklearn family) with calibrated / stacking / diversified meta-learners. Unified REST API + MCP server.
Drift inferred · capture-to-capture
No drift recorded — single capability capture; advisories appear once its surface changes.
transport — counts 0 tools · 0 res
· 0 prompts
permission surface via README inference
no tools enumerated yet for this server.
evidence-backed
findings quoted directly from the published source artifact — not inferred
This server hasn't been statically analyzed yet (npm/PyPI artifacts only).