Equifax is a global data, analytics, and technology company providing comprehensive credit reporting and risk assessment solutions.
Enhance your risk management and decision-making capabilities with AI Agents and automation that leverage Equifax's rich data ecosystem.
Equifax delivers powerful credit reporting and risk assessment solutions. Relevance AI transforms this data into intelligent action through AI Agents that can automate decisioning, enhance verification processes, and drive insights at scale.
Instant Credit Insights
Agents can access real-time credit data to enhance decision-making.
Seamless Identity Verification
Agents can quickly verify consumer identities, reducing fraud risk.
Predictive Risk Assessment
Agents utilize machine learning to forecast credit risk effectively.
Relevance AI gives you access to Equifax's comprehensive data and analytics capabilities within your automated 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:
- An Equifax account
- A Relevance AI account with appropriate access permissions
- Authorization (connect securely via OAuth authentication)
Security & Reliability
The integration uses secure OAuth authentication, ensuring only authorized workflows access your Equifax data. Relevance AI handles API operations (like GET, POST, PUT, DELETE, PATCH) in the background—so you don't have to worry about authentication tokens, request formatting, or API limits.
Built-in validation and secure data transmission ensure your sensitive credit information flows smoothly through the sandbox environment.
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.
Best Practices for Non-Technical Users
To get the most out of the Equifax + Relevance AI integration without writing code:
- Secure authentication: Ensure proper OAuth credentials and permissions are configured correctly.
- Use sandbox testing: Test API calls in the sandbox environment before moving to production.
- Handle data sensitively: Follow security best practices when processing credit and consumer data.
- Monitor API usage: Track rate limits and implement proper error handling for API responses.
- Validate requests: Double-check all required fields and data formats before making API calls.
