Diffy is a leading platform designed to streamline and enhance the process of data validation and testing for software applications.
Combine robust data validation with AI Agents to create powerful, data-driven workflows that maintain accuracy and compliance.
Diffy ensures data quality and accuracy through automated validation. Relevance AI transforms this validated data into intelligent actions with AI Agents that can analyze, decide, and execute.
Data Integrity Assurance
The agent ensures that all utilized data is accurate and reliable, enhancing decision-making.
Real-time Insights
Access to validated data in real-time empowers the agent to provide timely and relevant responses.
Operational Efficiency Boost
Automation of data validation processes allows the agent to focus on strategic tasks, improving productivity.
Relevance AI gives you access to Diffy's data validation capabilities within your AI-powered workflows.
What you’ll need
You don't need to be a developer to set up this integration. Follow this simple guide to get started:
- A Diffy account
- A Relevance AI account with API access
- Authorization credentials from both platforms
Security & Reliability
The integration uses secure OAuth authentication, ensuring only authorized workflows access your Diffy data. Relevance AI handles API operations (like GET, POST, PUT, DELETE, PATCH) in the background—so you don't have to worry about errors, formatting, or limits.
Built-in validation and type conversion ensure your workflows run smoothly, even when testing website differences.
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.
To get the most out of the Diffy + Relevance AI integration without writing code:
- Configure API endpoints properly: Ensure correct base URLs and authentication settings.
- Use appropriate HTTP methods: Match GET, POST, PUT, DELETE, or PATCH to your needs.
- Handle responses effectively: Monitor response status codes and body content.
- Manage authorization: Keep OAuth credentials secure and up-to-date.
- Validate requests: Test API calls with small payloads before implementing larger operations.
