mcp-server

StatsPAI: Accelerate Causal Inference and Econometrics in Python

Name: StatsPAI: Accelerate Causal Inference and Econometrics in Python
Author: brycewang-stanford

Use StatsPAI’s unified API and MCP server to run robust causal analysis—ideal for founders building data‑driven policy or product impact tools.

From the repo · “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, Skills, an MCP server, and R/Stata parity validation.”

345 stars+6★ this week72 forksPythonGuide quality 8/10 · reviewed Oct 22Updated 10/22/2026100% free · open source

What it does

StatsPAI provides a unified API for causal inference and applied econometrics, allowing data-driven founders to easily perform complex statistical analyses.

When to use it

•When you need to perform causal inference on your startup's data to inform business decisions
•When you want to unify different statistical methods under a single API for easier comparison and analysis
•When you require machine-readable schemas and structured result objects for further data processing and visualization

Ready-to-paste prompt

Run `statspai.CausalModel(y='outcome', T='treatment', X=['covariate1', 'covariate2']).estimate()` to estimate the causal effect of a treatment on an outcome while controlling for covariates

Heads up: Make sure you have Python 3.8 or later installed, as StatsPAI is not compatible with earlier Python versions

Saves to your device

Use with Claude

New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

✅ Light setup

Installs with a command or two; your AI agent can do it for you.

Try it instantly — no install

Claude Code

mkdir -p ~/.claude/skills/statspai && curl -fsSL https://workflowstacks.com/api/skills/statspai/claude-skill -o ~/.claude/skills/statspai/SKILL.md

Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)

claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

What's inside — free to inspect

No purchase needed

Read the entire source before you build — unlike paid marketplaces that hide it behind a buy button.

top-level files

folders

134.7M

source size

MIT

license

Key files

.pre-commit-config.yaml

AGENTS.md

README_CN.md

README.md

File tree

.coverage_campaign/

.github/

.tier_eg_campaign/

.tierd_campaign/

benchmarks/

docs/

examples/

papers/

plans/

rust/

schemas/

scripts/

src/

StatsPAI_full_data_analysis_skill/

tests/

tools/

.codespellrc

.flake8

.gitattributes

.gitignore

.pre-commit-config.yaml

.zenodo.json

AGENTS.md

CHANGELOG.md

Use with Claude

New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

✅ Light setup

Installs with a command or two; your AI agent can do it for you.

Try it instantly — no install

Claude Code

mkdir -p ~/.claude/skills/statspai && curl -fsSL https://workflowstacks.com/api/skills/statspai/claude-skill -o ~/.claude/skills/statspai/SKILL.md

Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)

claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

Quick Actions

Details

Creator

brycewang-stanford

Language

Python

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