Discover the toolingbehind modern intelligence
The operating system for AI infrastructure discovery. Search a live map of MCP servers, AI agents, LLM tools, automation systems, and developer infrastructure.
StatsPAI
StatsPAI is the first agent-native Python platform for causal inference and applied econometrics — unified API, broad cross-method coverage, structured result objects, machine-readable schemas, and R/Stata parity validation.
215stars
42forks
Python
agent-nativeai-agentscausal-discoverycausal-inferencedata-sciencedifference-in-differencesdouble-machine-learningeconometricsinstrumental-variablesllmmcppanel-data
Quality signals
ActiveNo testsNo CIThin docsNo licensePopular
InstallMCPRun via uvx (Python)
Universal installANY TOOL
$ npx skillcity@latest brycewang-stanford/StatsPAIAuto-detects the skill or MCP server in this repo and installs it for Claude Code, Codex, Cursor, Cline, OpenCode, Gemini CLI, Anti-Gravity, OpenClaw and Hermes.
Requires Node.js 18+ (ships with npx).
Or install manually
uvx statspai
MCP Configuration
Add this to your claude_desktop_config.json
{
"mcpServers": {
"statspai": {
"command": "uvx",
"args": [
"statspai"
]
}
}
}Loading README…
Ask a simulated agent to run this skill. It loads the real SKILL.md and reasons over your task with NVIDIA.
statspai — sandboxAI sandbox
Pick a quick prompt below or type your own — watch the agent execute this skill step by step.
guest@skillcity:~$Try a prompt