SDK·GitHub·MIT
SimpleFunctions Python SDK
Calibrated world model for AI agents — real-time probabilities from 9,706 markets
Install
pip install simplefunctionsThin, typed Python client over the SimpleFunctions REST API. Designed for research notebooks and ML pipelines that need prediction-market signal as a feature.
One function gets you the current world state (top events, probabilities, trend). Another resolves a specific ticker. A third streams the SF Index. Everything returns plain dicts or pandas DataFrames.
Quickstart
from simplefunctions import SF
sf = SF(api_key="...")
world = sf.world_state() # top ~100 events w/ consensus probabilities
idx = sf.index() # current SF Index (disagreement, geo-risk, ...)
mkt = sf.market("KXRATE-25OCT30")
Install via pip install simplefunctions. API key from simplefunctions.dev/dashboard.
Quickstart
from simplefunctions import SF
sf = SF(api_key="...")
world = sf.world_state()Tags
pythonsdkapipandasresearch
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