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Vinkius

AB Test Sample Size Calculator Connector for AI agents.

3 live capabilities

Plan statistically valid A/B experiments with precise user requirements and timelines.

Live agent request AB Test Sample Size Calculator / Connector

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Why people use AB Test Sample Size Calculator

AB Test Sample Size Calculator for Accurate Conversion Rate Optimization

This Connector takes the guesswork out of the math. Instead of hunting through complex statistical formulas or trying to remember what power means in a specific context, you just tell your agent what you're trying to achieve. It handles the heavy lifting of calculating how many users you need to see a real difference based on your baseline data.

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

What Vinkius changes

You get a statistically sound roadmap for your A/B tests without doing any manual math.

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

One account · 6,100+ Connectors

  1. Real-world use case 01

    Validating low-traffic changes

    A growth lead wants to know if a 2% lift in signups is detectable with only 500 daily visitors.

  2. Real-world use case 02

    Setting realistic launch dates

    A product manager needs to tell stakeholders that a new checkout flow will take 14 days to validate.

  3. Real-world use case 03

    Avoiding premature conclusions

    An analyst sees a winning result on day 3 and uses the capability to check if it's just a random fluke or a real trend.

Complete set · 3capabilities

The complete AB Test Sample Size Calculator capability set.

These are the exact actions your AI can choose when you ask it to work with AB Test Sample Size Calculator.

Capability set01 / 01

01—03

3 capabilities in this set.

Part of 3 available through AB Test Sample Size Calculator.

  1. 01 Capability

    Estimate test duration

    This capability projects how many days your experiment must run given your current daily traffic. It helps you plan your roadmap without guessing when results will land.

  2. 02 Capability

    Assess peeking risk

    This capability evaluates the danger of stopping a test prematurely to avoid false positives. It helps you decide whether to keep running a test or call a winner.

  3. 03 Capability

    Calculate required sample size

    This capability determines the number of users needed per variant based on your baseline conversion rate and desired effect. It ensures your test is properly powered to yield reliable results.

Set up in minutes

One URL. Then ask AB Test Sample Size Calculator to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use AB Test Sample Size Calculator 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_r2w7FicRhYLb2yLUrh65lss0cEO4Bcdo5mApGeZ1/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 AB Test Sample Size Calculator, and paste the URL above.

  3. Step 03

    Turn it on in chat

    Select +, open Connectors, and enable AB Test Sample Size Calculator for the conversation.

Where the request belongs

Work AB Test Sample Size Calculator can move forward.

Built around the request

This is for growth marketers, product managers, and data analysts who are tired of guessing if their experiment results actually mean anything. It solves the pain of underpowered tests and the risk of making decisions based on noise.

01

Growth Marketer

Uses this to ensure that every campaign lift is statistically significant before asking for more budget.

02

Product Manager

Uses this to provide stakeholders with realistic dates for when a new feature will be validated.

03

Data Analyst

Uses this to automate the frequent requests from the business team regarding sample size requirements.

04

CRO Specialist

Uses this to plan multi-variant tests that require high precision in low-traffic environments.

Bring your own AI

Change the model, client or framework. Keep AB Test Sample Size Calculator connected.

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Before you connect

Questions about AB Test Sample Size Calculator.

The practical details behind the request, access and result.

How does the AB Test Sample Size Calculator help with my experiments?

It helps you plan your experiments by calculating exactly how many users you need to see a statistically significant result. This prevents you from running underpowered tests that don't give you clear answers.

Can I use it to see how long a test will take?

Yes, you can get an estimated timeline for your test by providing your daily traffic and the required sample size. This makes it much easier to coordinate your product roadmap with your testing schedule.

What is peeking risk and why does it matter?

Peeking risk is the danger of looking at your results too early and seeing a winner that's actually just a random fluke. This capability helps you identify when it's safe to stop a test and when you need to keep running it.

How do I know if my sample size is big enough?

You can use the capability to calculate the required sample size based on your baseline conversion rate and the minimum change you want to detect. It ensures your test has enough power to be meaningful.

Does this capability replace my experimentation platform?

No, it's a planning capability. It helps you set the parameters for your tests before you launch them. You'll still need your usual platform to actually run the experiments and split the traffic.

Can my AI agent plan my whole testing schedule?

Yes, by using this Connector, your agent can help you determine the duration and user requirements for multiple tests, allowing you to build a more accurate and data-backed testing calendar.

How do I know if my sample size is sufficient?

You can use the calculate_required_sample_size capability. By providing your baseline conversion rate, MDE, confidence level, and statistical power, it will return exactly how many users you need per variant.

What is the risk of 'peeking' at my results?

Peeking refers to checking results and stopping a test before its planned duration. This significantly increases your False Positive rate. Use assess_peeking_risk to see if your current progress is safe or if you are at high risk of making an incorrect decision.

How can I estimate when my test will finish?

Once you have the total required users from the sample size capability, use estimate_test_duration along with your average daily traffic to calculate the estimated number of days needed for the experiment.

One connection away

Give your agent a direct line to AB Test Sample Size Calculator.

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