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Digital fraud affects so many organizations. In this demo, you'll learn the components of a real-time fraud detection system, and how to build one with Tinybird.

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Tinybird Real-Time Fraud Detection Starter Kit

Example application for real-time fraud detection using Tinybird.

Setup

  1. Setup your Tinybird account

Click this button to deploy the data project to Tinybird 👇

Deploy to Tinybird

Follow the guided process, and your Tinybird workspace is now ready to start receiving events.

  1. Setup this repository locally
git clone https://github.com/tinybirdco/fraud-detection-demo.gitcd fraud-detection-demo
  1. Install dependencies
npm install
  1. Install and configure the Tinybird CLI

To start working with data projects as if they were software projects, First, install the Tinybird CLI in a virtual environment.You'll need python3 installed.

Check theTinybird CLI documentation for other installation options and troubleshooting tips.

python3 -mvenv .e. .e/bin/activatepip install tinybird-clitb auth --interactive

Choose your region: 1 forus-east, 2 foreu. A new.tinyb file will be created.

Go tohttps://ui.tinybird.co/tokens and copy the token with admin rights.

⚠️Warning! The Admin token, the one you copied following this guide, is your admin token. Don't share it or publish it in your application. You can manage your tokens via API or using the Auth Tokens section in the UI. More detailed info atAuth Tokens management

Once you have successfully authenticated with Tinybird, you can run the following to upload the pipes to your Tinybird workspace.

tb push --no-check
  1. Start sending data to Tinybird with Mockingbird. Check theMockingbird CLI documentation for other installation, options and troubleshooting. Note, that you will need to paste in your Tinybird token.
mockingbird-cli tinybird --datasource=transactions --token=[PASTE_YOUR_TOKEN_FROM_TINYBIRD] --endpoint=eu_gcp --schema='schema.json' --eps 100
  1. Go to yourTinybird workspace and check the data is flowing.

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Digital fraud affects so many organizations. In this demo, you'll learn the components of a real-time fraud detection system, and how to build one with Tinybird.

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