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Vinkius

Data Analysis Prover Connector for AI agents.

1 live capability

Ensure your data science reports are statistically sound and honest.

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Why people use Data Analysis Prover

Data Analysis Prover: Stop AI from making fake statistical claims

This Connector automates that scrutiny. It acts as a gatekeeper that forces your agent to justify every claim with actual statistical evidence. Instead of guessing if the AI's conclusion is valid, you get a structured reflection that proves it.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • Visual Studio Code
  • Windsurf

What Vinkius changes

That it turns your AI from a data summarizer into a rigorous statistical reviewer.

Use it from Claude, ChatGPT, Cursor or another AI client you already have.

One account · 6,100+ Connectors

  1. Real-world use case 01

    Verifying marketing campaign ROI

    A manager asks the AI to prove a new email subject line increased sales.

  2. Real-world use case 02

    Checking product feature retention

    A product team wants to know if a new feature improved retention.

  3. Real-world use case 03

    Summarizing skewed salary data

    A researcher is analyzing salary data.

Complete set · 1capability

The complete Data Analysis Prover capability set.

These are the exact actions your AI can choose when you ask it to work with Data Analysis Prover.

Capability set01 / 01

01

1 capability in this set.

Part of 1 available through Data Analysis Prover.

  1. 01 Capability

    Validate data analysis

    Pass a statistical claim or research interpretation to the Connector to get a rigorous peer review of the methodology. It checks for sample validity, causal logic, and visual honesty to ensure your data is not misleading.

Set up in minutes

One URL. Then ask Data Analysis Prover to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Data Analysis Prover from the conversation.

Choose your client

Live preview
Advanced clients IDE · CLI

Claude · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP
https://edge.vinkius.com/vk_preview_z0UOTGMw5z9e0sSzQndQJ5ZX9DZMH1doH3kzey3a/mcp
  1. Step 01

    Open Connectors

    In Claude Web or Claude Desktop, open Settings and choose Connectors.

  2. Step 02

    Add the URL

    Choose Add custom connector, name it Data Analysis Prover, and paste the URL above.

  3. Step 03

    Turn it on in chat

    Select +, open Connectors, and enable Data Analysis Prover for the conversation.

Where the request belongs

Work Data Analysis Prover can move forward.

Built around the request

This is for data professionals who need to ensure their AI generated reports are bulletproof. It is built for anyone whose job involves presenting data to stakeholders who will notice a sloppy p-value or a misleading chart.

01

Marketing Analyst

Uses this to verify that a campaign actually drove sales rather than just happening at the same time.

02

Data Scientist

Uses this to quickly peer review AI generated research summaries for statistical rigor.

03

Business Intelligence Lead

Uses this to ensure that executive dashboards aren't using deceptive scales or biased samples.

04

Academic Researcher

Uses this to maintain high standards of data integrity when interpreting large scale experimental results.

When one Connector is not enough

Combine Data Analysis Prover with the systems that finish the task.

View all recipes
01

How to Fact-Check Data Content Using MCP

Every claim source-verified, every statistic methodology-audited, every bias exposed , publish data-driven content that withstands scrutiny

 02

MCP Recipe for Board-Ready Marketing Reports

Monthly marketing reports transformed from dashboard screenshots to strategic intelligence , vanity metrics eliminated, causal insights surfaced, executive action driven

 03

MCP Recipe to Find Top Revenue Channels

Attribution models stress-tested with first principles, statistical methodology audited for false confidence , make budget decisions on truth, not dashboards

 04

Connectors for Reliable A/B Test Analysis

A/B test results interrogated for hidden assumptions, statistical validity verified before shipping , stop making product decisions on p-values alone

Build the capability set

Add more capabilities.

Each Connector adds new actions and data without changing how you work.

Browse Connectors
A/B Test Significance Calculator logo
01 4 capabilities

A/B Test Significance Calculator

Calculate statistical significance, required sample sizes, and power for A/B tests.

View Connector
Multivariate Test Analyzer logo
02 3 capabilities

Multivariate Test Analyzer

Perform 2k factorial analysis to identify optimal element combinations and interaction effects in multivariate experiments.

View Connector
AB Test Sample Size Calculator logo
03 3 capabilities

AB Test Sample Size Calculator

Calculate required sample size, test duration, and peeking risk for A/B experiments.

View Connector
Test Duration Calculator logo
04 3 capabilities

Test Duration Calculator

Calculate required A/B test duration, sample sizes, and experiment risk levels.

View Connector
Chi-Square Test Engine logo
05 1 capability

Chi-Square Test Engine

Run exact Chi-Square independence tests on contingency tables local. Get CPU-guaranteed chi² statistics and p-values for categorical analysis.

View Connector
ANOVA Calculator Engine logo
06 1 capability

ANOVA Calculator Engine

Run exact One-Way ANOVA tests to compare means across multiple groups local. Get CPU-guaranteed F-scores and p-values, not LLM guesses.

View Connector

Bring your own AI

Change the model, client or framework. Keep Data Analysis Prover connected.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • VS Code
  • Windsurf
  • ZCode
  • Cline
  • Zed
  • Continue
  • Kiro
  • Roo Code
  • Zencoder
  • Goose
  • Void
  • Augment Code
  • Amp
  • Qodo
  • Tabnine
  • Pieces
  • Sourcegraph Cody
  • JetBrains
  • Warp
  • Amazon Q
  • Antigravity
  • BoltAI
  • Raycast
  • Jan
  • LM Studio
  • AnythingLLM
  • Open WebUI
  • Msty
  • Cherry Studio
  • LibreChat
  • TypingMind
  • Chorus
  • 5ire
  • n8n
  • LangChain
  • LlamaIndex
  • CrewAI
  • Vercel AI SDK

Before you connect

Questions about Data Analysis Prover.

The practical details behind the request, access and result.

Can the Data Analysis Prover catch misleading charts?

Yes. It audits your charts for common tricks like truncated Y-axes, dual scales, and distorted proportions to ensure your data remains honest.

Does Data Analysis Prover help with small sample sizes?

Yes. It flags Sample Blindness by forcing the AI to report the sample size (N) and conduct a power analysis to see if the results are actually reliable.

How does Data Analysis Prover handle p-values?

It prevents Significance Theater by requiring the AI to include effect sizes like Cohen's d alongside p-values, so you know if a result actually matters.

Can I use Data Analysis Prover for marketing research?

Absolutely. It is perfect for checking if marketing campaign results are statistically significant or just a result of random noise.

Will Data Analysis Prover make my AI more accurate?

It makes your AI's statistical claims more accurate by forcing it to follow rigorous data science methodologies instead of taking shortcuts.

Can it detect if a correlation is actually a cause?

Yes, it identifies Correlation Confusion by checking for confounders and distinguishing between observational associations and experimental evidence.

Why is p<0.05 not enough?

p-value measures probability, not magnitude. Cohen's d: 0.2=small, 0.5=medium, 0.8=large. A p<0.001 with d=0.05 is trivial. Report effect size + 95% CI + practical significance.

When can I say 'causes' vs 'associated with'?

Only RCTs establish causation. Observational studies show association. Control confounders, test reverse causality, check dose-response. Even then: 'associated with' unless experimental design.

Why is the mean misleading on skewed data?

Income example: mean $65K, median $45K. The mean is pulled by outliers. Right-skewed data: median represents 'typical' better. Test normality with Shapiro-Wilk before choosing parametric tests.

One connection away

Give your agent a direct line to Data Analysis Prover.

Connect Data Analysis Prover once. Keep it beside 6,100+ managed Connectors when the next task needs more.

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