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Vinkius

jstat Connector for AI agents.

1 live capability

Run precise variance analysis and ANOVA tests on your local data.

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AI Agent

Why people use jstat

ANOVA Calculator Engine for Accurate Statistical Significance

You get a clear path forward with this Connector. You just tell your agent which groups to look at, and it handles the variance analysis using a local engine. You get a solid, reproducible F-score and p-value without ever leaving your workspace.

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

What Vinkius changes

You get guaranteed mathematical accuracy for complex variance analysis without relying on AI logic.

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

One account · 5,900+ Connectors

  1. Real-world use case 01

    Marketing Channel Analysis

    A manager wants to see if 4 different social platforms have different average costs.

  2. Real-world use case 02

    A/B/C/D Testing

    A product lead needs to see if three different UI layouts result in different engagement scores.

  3. Real-world use case 03

    Store Performance

    A retail owner compares average revenue across 10 different store locations.

Complete set · 1capability

The complete jstat capability set.

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

Capability set01 / 01

01

1 capability in this set.

Part of 1 available through jstat.

  1. 01 Capability

    Calculate anova

    Performs a deterministic One-Way ANOVA test to compare means across multiple groups. It provides exact F-scores and p-values to replace AI math guesses.

Set up in minutes

One URL. Then ask jstat to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use jstat 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_Y3FRmjCc1hVIsWw13pHqQIML1p2ZdxKzjHcS70ga/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 jstat, and paste the URL above.

  3. Step 03

    Turn it on in chat

    Select +, open Connectors, and enable jstat for the conversation.

Where the request belongs

Work jstat can move forward.

Built around the request

This is for the data analyst who needs to prove a marketing campaign actually worked. The researcher who can't risk a hallucinated p-value in a paper. The operations manager who needs to know if three different shipping routes have different costs.

01

Data Analyst

Performs rigorous variance analysis on marketing spend across multiple regions to identify high-performing channels.

02

Academic Researcher

Compares test scores or experimental results across various control groups to ensure statistical significance.

03

Marketing Manager

Determines which of five different ad campaigns is actually driving the highest average conversion rate.

Build the capability set

Add more capabilities.

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

Browse Connectors
T-Test Statistics Engine logo
01 1 capability

T-Test Statistics Engine

Run exact Student's, Welch's, and Paired t-tests local. Get CPU-guaranteed p-values instead of LLM-hallucinated guesses.

View Connector
Chi-Square Test Engine logo
02 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
Statistics Engine logo
03 5 capabilities

Statistics Engine

A zero-latency statistical engine to process datasets. Instantly compute the exact mean, median, mode, standard deviation, and percentiles completely local.

View Connector
Normality Test Engine logo
04 1 capability

Normality Test Engine

Test whether your data is normally distributed using Skewness and Kurtosis analysis local. Essential pre-check before running parametric statistical tests.

View Connector
Data Analysis Prover logo
05 1 capability

Data Analysis Prover

A marketing team asked an AI to analyze campaign data. The AI reported 'significant correlation between email frequency and purchase rate (p<0.05).' The team tripled emails. Unsubscribes spiked 340%. Sample: N=47 self-selected respondents, no power analysis. Correlation: observational, no confounders. Distribution: right-skewed but mean used. p=0.043 but Cohen's d=0.12. trivial. Chart: truncated Y-axis making a 2% difference look enormous. This capability forces five axes: sample validity, causal inference, distribution awareness, significance with effect size, and visualization integrity.

View Connector
Multivariate Test Analyzer logo
06 3 capabilities

Multivariate Test Analyzer

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

View Connector

Bring your own AI

Change the model, client or framework. Keep jstat connected.

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  • Cursor
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Before you connect

Questions about jstat.

The practical details behind the request, access and result.

What is the ANOVA Calculator Engine for?

It's used to compare the averages of three or more groups to see if the differences between them are statistically significant. It's perfect for research, marketing, and any data-heavy analysis.

Does this Connector handle my data privately?

Yes, it runs on your local CPU. Your sensitive data never leaves your machine, making it a secure choice for private business metrics.

Can I use this for more than 3 groups?

Yes, you can compare as many groups as your data set contains, whether that's 3, 5, or 20.

How is this better than just asking my AI to do the math?

It uses a deterministic engine to prevent the AI from making math errors. You get 100% accurate F-scores and p-values instead of a guess.

What do I get back from a test?

You get a clear summary including the F-score, degrees of freedom, and the p-value, along with a clear interpretation of the results.

Do I need to be a statistician to use this?

Not at all. You just provide the raw data for the groups you want to compare, and the Connector handles all the complex variance analysis for you.

Does it support Two-Way ANOVA?

Currently, this engine strictly computes exact One-Way ANOVA across any number of groups. The AI can assist with interpreting interaction effects manually.

Do the groups need to have the same number of samples?

No. The jstat engine handles unbalanced group sizes perfectly, computing SSB and SSW with exact degrees of freedom adjustment.

What format does the data need to be in?

An array of numerical arrays, one per group. The AI automatically parses your CSV or text data into the correct structure before calling the engine.

One connection away

Give your agent a direct line to jstat.

Connect jstat once. Keep it beside 5,900+ managed Connectors when the next task needs more.

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