StatsPAI is the first agent-native Python library for causal inference and applied econometrics — unified API, broad...
Copy the install, test the workflow, then decide if it earns a permanent slot.
The signal is softer here. Treat it like a pattern source unless it solves a very specific gap.
Copy the install, test the workflow, then decide if it earns a permanent slot.
You can test this quickly and remove it cleanly if it misses.
GitHub health unknown. no security policy. 0 open issues make this testable, but not something to trust blind.
AI Agent
Universal
Model
Multiple
Fastest way to find out if StatsPAI belongs in your setup.
Copy the install command, run a real test, and back it out cleanly if it slows you down.
claude mcp add statspai -- npx statspaiRun this first. You will know quickly if the workflow earns a permanent slot.
claude mcp remove statspaiNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
~/ └─ .claude.json └─ mcp_servers/ └─ statspai ← registers here
StatsPAI is the first agent-native Python library for causal inference and applied econometrics — unified API, broad cross-method coverage, structured result objects, machine-readable schemas, an MCP server, and R/Stata parity validation.