1. Conduid
  2. RAG
  3. StatsPAI
MCP server · RAG

StatsPAI

· github.com/brycewang-stanford/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.

Unclaimed agent-nativeai-agentscausal-discoverycausal-inferencedata-sciencedifference-in-differencesdouble-machine-learningeconometricsinstrumental-variablesllmmcppanel-datapolicy-evaluationpythonregression-discontinuityrstatsstatastatisticssynthetic-controltreatment-effects
InstallView source
52Fair

Scored 4 months ago · breakdown

About StatsPAI

StatsPAI is an MCP server in the RAG category: 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.

Install

From source
git clone https://github.com/brycewang-stanford/StatsPAI

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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Questions

About StatsPAI

How do I install StatsPAI?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is StatsPAI safe to use with an AI agent?

Its trust score is 52 out of 100 (fair). Conduid hasn't run static security checks on this repository yet, so review the source yourself before granting it credentials. It has no ConduID identity yet, so agent calls to it are not receipted.

Is StatsPAI still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.