Skip to content
Vinkius

Regex from Examples Connector for AI agents.

3 live capabilities

Generate production-ready regular expressions from raw data pairs.

Live agent request Regex from Examples / Connector

Waiting for input…

AI Agent

Why people use Regex from Examples

Regex from Examples for Automated Data Extraction

With Regex from Examples, you just hand the raw data to your agent. It analyzes the pairs and gives you the best candidates right away. You stop hunting for the right escape characters and start actually moving your data into the database.

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

What Vinkius changes

You stop guessing regex syntax and start using patterns that actually work on your data.

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

One account · 6,100+ Connectors

  1. Real-world use case 01

    Scraping inconsistent product prices

    A scraper fails because prices have different symbols.

  2. Real-world use case 02

    Validating user emails

    A dev needs to check emails but wants to avoid false positives.

  3. Real-world use case 03

    Parsing server logs

    A sysadmin needs to pull specific error codes.

Complete set · 3capabilities

The complete Regex from Examples capability set.

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

Capability set01 / 01

01—03

3 capabilities in this set.

Part of 3 available through Regex from Examples.

  1. 01 Capability

    Generate regex candidates

    Analyzes your input-extraction pairs to produce a ranked list of regex candidates. It identifies the best patterns for strings, numbers, dates, and more based on your data.

  2. 02 Capability

    Analyze pattern complexity

    Classifies a regex pattern into its structural category. This helps you understand if your pattern is too broad or appropriately specific for your needs.

  3. 03 Capability

    Evaluate pattern coverage

    Provides a detailed breakdown of regex performance against your specific examples. You can see exactly which inputs match and which ones fall through the cracks.

Set up in minutes

One URL. Then ask Regex from Examples to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Regex from Examples 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_YGv100v0ig4t94DjJQKuIRFH5YGkMjflm2N34yYi/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 Regex from Examples, and paste the URL above.

  3. Step 03

    Turn it on in chat

    Select +, open Connectors, and enable Regex from Examples for the conversation.

Where the request belongs

Work Regex from Examples can move forward.

Built around the request

This is for the developer or data engineer who spends hours staring at logs or trying to scrape inconsistent web data. It's for the person who needs 100% accuracy on data extraction but hates the manual labor of regex testing.

01

Data Engineer

Cleaning messy datasets for pipelines by identifying patterns in inconsistent logs.

02

QA Engineer

Writing automated tests for complex form validation and input sanitization.

03

Security Researcher

Identifying patterns in malicious traffic or system logs to flag threats.

04

Web Scraper

Extracting product info from diverse site layouts where data formatting varies.

Bring your own AI

Change the model, client or framework. Keep Regex from Examples 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 Regex from Examples.

The practical details behind the request, access and result.

How does Regex from Examples help with web scraping?

It helps you quickly build patterns to extract data from websites. By giving the agent a few examples of the text you want to grab, it generates the regex for you, handling all the tricky escaping and character matching automatically.

Can I use Regex from Examples to validate user input?

Yes, it's perfect for that. You can provide examples of valid and invalid inputs to generate a regex that ensures your application only accepts the correct data formats.

Does Regex from Examples work for log files?

It's one of the best ways to parse logs. You can feed the agent a few lines of your server logs, and it will generate a pattern to extract specific error codes, timestamps, or IP addresses.

How do I check if my regex is catching everything it should?

You can use the coverage capability. Just provide your regex and a list of examples, and the Connector will give you a breakdown of exactly which items matched and which ones were missed.

Can Regex from Examples generate regex for phone numbers?

Yes, it can. Because phone numbers often have different formats (dots, dashes, parentheses), providing a few examples allows the Connector to create a regex that handles those variations accurately.

Is Regex from Examples good for data cleaning?

Absolutely. It's great for cleaning up messy datasets. You can use it to identify and extract specific patterns from unorganized text, making it much easier to move that data into a structured format.

How do I generate a regex?

Use the generate_regex_candidates capability with your input and extraction pairs.

Can it handle email addresses?

Yes, the engine detects structural patterns like email addresses using generate_regex_candidates.

How do I know if a regex is accurate?

Use evaluate_pattern_coverage to check for matches and misses against your dataset.

One connection away

Give your agent a direct line to Regex from Examples.

Connect Regex from Examples once. Keep it beside 6,100+ managed Connectors when the next task needs more.

Explore every Connector No credit card required · Free tier available