Integrations

Supercharge GPT Zero with Relevance AI

GPTZero is an AI detection tool that programmatically identifies AI-generated content through a powerful API. With Relevance AI, you can leverage this detection to create dynamic workflows that enhance content verification and analysis.

Give your AI Agents GPT Zero Superpowers

GPTZero offers robust AI detection for both text and files, ensuring content integrity. Relevance AI amplifies this by enabling intelligent workflows that can adapt and respond to detected content in real-time.

Content Authenticity Mastery

Empowers agents to instantly validate and verify the authenticity of any text content with 95%+ accuracy

Real-Time Detection Intelligence

Enables agents to perform immediate analysis of content sources, identifying AI-generated material within seconds

Workflow Acceleration

Streamlines content verification processes by reducing manual review time by up to 80%

Tools

Equip AI Agents with the GPT Zero Tools they need

Relevance AI seamlessly integrates with GPTZero to enhance your workflows by providing advanced AI detection capabilities.

GPTZero: Detect AI - Scan Text for AI Detection
Analyzes text input to detect AI-generated content, with support for multiple languages including French and Spanish. Can process up to 50,000 characters per scan.
GPTZero: Detect AI - Scan File for AI Detection
Examines uploaded files to identify AI-generated content, processing documents up to 50,000 characters in length from the temporary directory.
GPTZero: Detect AI - Scan File for AI Detection
Examines uploaded files to identify AI-generated content, processing documents up to 50,000 characters in length from the temporary directory.
Name
GPTZero: Detect AI API Call
Description
Make an authorized request to a GPTZero: Detect AI API
Parameters
["OAuth account authentication", "HTTP method selection", "Custom request path", "Request body configuration", "Custom header support"]
Use Case
A content marketing team uses GPTZero's API to automatically scan their blog posts and marketing materials to ensure authenticity and maintain transparency with their audience. The integration helps them quickly identify AI-generated content and maintain their editorial standards while streamlining their content review process.
Quick Start

Connect GPT Zero to Relevance AI in minutes

Security & Reliability

The GPTZero AI Detection integration utilizes secure OAuth authentication, ensuring that only authorized applications can access the AI detection services. This integration allows developers to seamlessly detect AI-generated content through a robust API interface, handling both text and file-based content analysis without the need for manual intervention.

With built-in support for multilingual detection, the integration can analyze content in various languages, including French and Spanish. The RESTful API handles all operations, such as POST requests for text and file analysis, while also managing error handling and response validation to ensure smooth workflows.

Developers can easily configure the integration with the necessary OAuth credentials and permissions, allowing for scalable content verification and automated analysis. Performance optimization features, such as caching and batch processing, further enhance the efficiency of the integration, making it a powerful tool for content verification and academic integrity checking.

No training on your data

Your data remains private and is never utilized for model training purposes.

Security first

We never store anything we don’t need to. The inputs or outputs of your tools are never stored.

Get Started

Best Practices for Non-Technical Users

To get the most out of the GPTZero + Relevance AI integration without writing code:
  • Start with a clear authentication setup: Ensure your OAuth credentials and permissions are correctly configured for seamless API access.
  • Utilize text and file analysis: Leverage both text-based and file-based detection to maximize your content verification capabilities.
  • Test with sample data: Run initial scans on sample text and files to validate your integration before processing larger datasets.
  • Implement error handling: Use try-catch blocks to manage API errors gracefully and log issues for troubleshooting.
  • Monitor API usage: Keep an eye on your API call limits and response times to optimize performance and avoid throttling.