Documentation
Install
pip install fastbi — one package, all tiers. Then fastbi.login() to authenticate.
Deterministic engine (all tiers)
Profiling, measures, evidence (facts, z-scores, aggregates) run locally in every tier, including Free.
Measures manifest
fastbi.measures(df) returns the derived measures — Revenue, Return Rate, AOV, Units per Order — each with its pandas expression, format, and confidence.
AI insights ($9)
The $9 Plus tier unlocks AI insights served from our backend over locally-computed facts.
Local-LLM mode ($24)
The $24 Pro tier swaps the endpoint: set FASTBI_BASE_URL to any Anthropic-Messages-API-compatible server (Ollama ≥ 0.14, LM Studio). Minimum context window 32K; a mid-size instruct model is recommended. Your data stays on your machine for narration.