• LOGIC
  • MATH
  • METHOD
  • HUMAN

How to audit statistical claims with your AI

Connect your agent to the Data Analysis Prover to stress-test its own math and logic. It subjects every conclusion to a rigorous five-axis peer review.

Ask AI about this page

Short answer

How can I use my AI to check if its statistical claims are true?

You use the Data Analysis Prover to force your agent through a five-axis peer review of its own logic and math. This process catches errors in methodology and calculation. You'll see exactly where the data holds up and where it fails.

The audit outcomes.

Where the findings land.

The agent categorizes every issue it finds into one of four specific areas.

LOGIC

Structural integrity

The agent checks if the conclusion actually follows the data. You get a report on logical leaps or fallacies.

MATH

Calculation accuracy

It re-runs the arithmetic and statistical formulas. This catches rounding errors or incorrect coefficients.

METHOD

Process validity

The agent evaluates if the statistical model fits the data type. You see if the approach was appropriate for the sample.

HUMAN

Manual review needed

The AI flags high-uncertainty areas that require your judgment. These are the points where the math is too thin to trust.

The workflow

What your AI does when the data arrives.

The agent doesn't just agree with you; it actively tries to find reasons why the claim might be wrong.

  1. Deconstruct the claim

    The agent breaks the statistical conclusion into its core components, isolating the variables and the specific math used.

    validate_data_analysis

  2. Stress-test the math

    It re-calculates every coefficient and p-value to ensure the numbers aren't hallucinations.

    validate_data_analysis

  3. Evaluate the model

    The agent checks if the statistical assumptions, like normality or independence, actually hold true for this dataset.

    validate_data_analysis

  4. Generate the audit

    The final output is a structured review across the five axes, highlighting specific points of failure.

    validate_data_analysis

Try it

Copy these to start.

Use these prompts to trigger the audit immediately.

Starting points

These are opening lines. Swap the bracketed text for your specific files or datasets.

Data Analysis Prover Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_z0UOTGMw5z9e0sSzQndQJ5ZX9DZMH1doH3kzey3a/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Data Analysis Prover capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "data-analysis-prover-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_z0UOTGMw5z9e0sSzQndQJ5ZX9DZMH1doH3kzey3a/mcp"
    }
  }
}
Copy into chat04

  • Run a five-axis audit on the statistical conclusions in this CSV file.

  • Audit the p-values and regression results found in this research paper.

  • Check the logic and math behind the growth projections in this spreadsheet.

  • Perform a rigorous peer review on the data summary I just generated.

  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Start here

Connect Data Analysis Prover once, then ask.

One click connects this MCP to your client. Your credentials stay encrypted and your data stays under your control.

Connect Data Analysis Prover to your AI

FAQ

How the audit behaves

  • 01

    Can the AI change my original data?

    No. The agent only reads and analyzes the data to perform the audit. It cannot modify your files.

  • 02

    Does it fix the math errors for me?

    No. It identifies and flags the errors, but you must decide how to correct the underlying analysis.

  • 03

    What is a five-axis review?

    It is a structured check covering logic, math, methodology, sampling, and uncertainty.

  • 04

    Can I use this with any data file?

    Yes, as long as your AI client can read the file and pass the content to the agent.

  • 05

    Does the AI decide if a claim is true?

    No. The AI provides a technical audit of the math and logic. The final determination of truth is yours.

  • More questions about Data Analysis Prover? The Connector page answers them. See everything the Data Analysis Prover Connector can do

Connect Data Analysis Prover to Claude, Cursor, ChatGPT & more