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Vinkius

Native V8 Connector for AI agents.

1 live capability

Get precise neural network probabilities.

Live agent request Native V8 / Connector

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AI Agent

Why people use Native V8

Sigmoid & Softmax Calculator for Stable Neural Network Probabilities

With this Connector, you just hand the raw numbers to your agent. It handles the subtraction, the exponents, and the normalization instantly. You get a clean list of probabilities you can actually use to make decisions.

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

What Vinkius changes

You get accurate probabilities without worrying about math overflows.

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

One account · 5,900+ Connectors

  1. Real-world use case 01

    Fraud Detection

    An agent takes 10 fraud scores and uses Sigmoid to see the probability of a transaction being fake.

  2. Real-world use case 02

    Image Tagging

    A model outputs logits for 50 different labels, and the capability creates a ranked list of tags.

  3. Real-world use case 03

    Sentiment Analysis

    Converting raw scores into a clear 'Positive' or 'Negative' probability for a customer review.

Complete set · 1capability

The complete Native V8 capability set.

These are the exact actions your AI can choose when you ask it to work with Native V8.

Capability set01 / 01

01

1 capability in this set.

Part of 1 available through Native V8.

  1. 01 Capability

    Calculate activation

    Converts raw neural network logits into probabilities using Sigmoid or Softmax. It ensures your agent gets stable results even with large input values.

Set up in minutes

One URL. Then ask Native V8 to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Native V8 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_BUlb2YAxwPkiRp2tGvpRUWj4YZmyxnkXPZ9VQ83e/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 Native V8, and paste the URL above.

  3. Step 03

    Turn it on in chat

    Select +, open Connectors, and enable Native V8 for the conversation.

Where the request belongs

Work Native V8 can move forward.

Built around the request

Who wakes up in the morning needing this? ML engineers and data scientists who are tired of debugging 'NaN' errors in their inference pipelines. It's for anyone who needs to turn raw model outputs into reliable, human-readable scores.

01

ML Engineer

Debugging model outputs and ensuring confidence scores are accurate during production deployment.

02

Data Scientist

Building evaluation pipelines for multi-class classification tasks to see real probability distributions.

03

Backend Developer

Integrating model inference into apps where precision and numerical stability are non-negotiable.

04

AI Researcher

Testing the stability of different activation functions on large datasets without crashing the runtime.

Build the capability set

Add more capabilities.

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

Browse Connectors
ROC AUC Evaluator logo
01 1 capability

ROC AUC Evaluator

Compute the exact Area Under the ROC Curve for binary classification predictions. Local, mathematically perfect, zero LLM estimation.

View Connector
Math Evaluation Engine logo
02 2 capabilities

Math Evaluation Engine

Stop LLMs from hallucinating math. Evaluate complex mathematical expressions and handle exact float rounding deterministically.

View Connector
Fundamental Math logo
03 5 capabilities

Fundamental Math

A deterministic, zero-latency mathematical engine for exact calculations. Safely compute percentages, square roots, factorials, and the rule of three completely local.

View Connector
Confusion Matrix Engine logo
04 1 capability

Confusion Matrix Engine

Deterministically calculate True Positives, FP, Precision, Recall, F1-Score, and Accuracy local. Stop LLM hallucinations when evaluating model metrics.

View Connector
Dice Probability Calculator logo
05 3 capabilities

Dice Probability Calculator

Calculate full probability distributions, statistical metrics, and success thresholds for any dice notation.

View Connector
Bayesian A/B Testing Calculator logo
06 4 capabilities

Bayesian A/B Testing Calculator

Quantify conversion probability, expected loss, and uplift using Bayesian inference.

View Connector

Bring your own AI

Change the model, client or framework. Keep Native V8 connected.

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  • ChatGPT
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Before you connect

Questions about Native V8.

The practical details behind the request, access and result.

What is the Sigmoid & Softmax Calculator MCP?

It's a capability that turns raw neural network outputs into accurate percentages. It helps your agent understand exactly how confident a model is about its results.

How does it handle large numbers?

It uses a technique called max-logit subtraction. This keeps the math stable even when the numbers are huge, preventing common errors like 'NaN' or 'Inf' results.

Can it do binary classification?

Yes. It uses the Sigmoid function to turn a single score into a probability between 0 and 1, perfect for yes/no or true/false questions.

Why not just let the AI do the math?

LLMs often struggle with precise exponents and large numbers. This capability ensures the math is 100% accurate every time, which is critical for production apps.

Is it good for multi-class models?

Absolutely. It uses the Softmax function to create a full probability distribution across as many categories as your model supports.

How does it prevent crashes?

By handling the numerical stability on the backend, it ensures that your agent's inference pipeline stays up even when processing extreme values.

Why is native Softmax calculation necessary?

Softmax involves exponential division. Relying on an LLM for these complex floats guarantees severe hallucination and ruined accuracy scores.

When should I use Sigmoid instead of Softmax?

Deploy Softmax for exclusive multi-class problems (array sums to 1.0). Use Sigmoid when handling isolated binary or independent multi-label scenarios.

Does it prevent Infinity/NaN math overflow?

Yes. By automatically subtracting the maximum logit threshold prior to computing the exponentials, it guarantees total numerical stability.

One connection away

Give your agent a direct line to Native V8.

Connect Native V8 once. Keep it beside 5,900+ managed Connectors when the next task needs more.

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