Introducing our Snowflake Data Cloud Native Application: AI-Driven Data Quality built into SQL statements! Learn More

Getting Started with Interzoid

1Create an Account

Begin by creating your Interzoid account. This will give you access to our AI-powered data quality tools and services.

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2Obtain Your API Key

After registration, log in to your account and navigate to the API Management section. Here, you'll find your unique API license key, which you'll use to authenticate your requests to Interzoid services and how we track usage.

Manage API Account

3Choose Your Integration Method

Interzoid offers multiple ways to integrate our services into your workflow:

  • Single Value APIs: Ideal for programmatic use and application integration.
  • Cloud Data Connect Application: A no-code browser-based interface for analyzing and enriching entire datasets.
  • Full Dataset APIs: With support for 27+ database connections and file types, this is perfect for batch processing, data pipelines, ongoing observability, and ETL workflows. You can read and files and databases, generate a match report of similarity clusters, generate SQL, append similarity keys to datasets, and more.

Choose the method that best fits your needs and data architecture. In the next step we will make a sample Single Value API call.

4Make Your First API Call

Let's make a simple API call to test your setup from the command line, either Linux or Windows. Here's an example using cURL:

curl -X GET "https://api.interzoid.com/getcompanymatchadvanced?company=IBM&algorithm=ai-plus&license=YOUR_API_KEY"

Replace YOUR_API_KEY with your actual API key.

5Explore Further Documentation and Tutorials

To make the most of Interzoid's capabilities, explore our comprehensive documentation and tutorials. These resources will help you understand our various APIs and how to implement them effectively in your projects.

API Reference Tutorials

Congratulations! You have generated a Similarity Key from "IBM", a canonical AI-powered algorithmic string utilized to match other variations of "IBM", such as "International Business Machines", "IBM Inc.", etc. It can be used within a single dataset, or across multiple datasets, depending on your needs.

You're now ready to start using Interzoid to improve your data quality, consistency, usable, and value. This will enable you to significantly enhance the ROI from your data-driven processes and avoid the many challenges poor data quality issues can cause. If you have any questions or need assistance, don't hesitate to reach out to our support team.