Integrations

Supercharge Epic Games with Relevance AI

Epic Games is a leading interactive entertainment company known for Unreal Engine, powering cutting-edge graphics and immersive experiences.

Combine its real-time rendering capabilities with Relevance AI agents to create intelligent, automated solutions across gaming, film, and enterprise applications.

Give your AI Agents Epic Games Superpowers

Epic Games delivers industry-leading real-time graphics and immersive experiences. Relevance AI enhances these capabilities with intelligent agents that can automate complex tasks and create dynamic, responsive environments.

Dynamic Interaction

Agents can respond to user inputs in real-time, creating engaging experiences.

Automated Quality Assurance

Agents streamline testing processes, enhancing product quality and reducing release times.

Cost Efficiency

Agents reduce operational costs by automating repetitive tasks and optimizing workflows.

Tools

Equip AI Agents with the Epic Games Tools they need

Relevance AI gives you access to Epic Games' powerful Unreal Engine tools and features within your AI-powered workflows.

Security & Reliability

The integration uses secure OAuth authentication, ensuring only authorized workflows access your Epic Games 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 rate limits.

Built-in validation and error handling ensure your game workflows run smoothly, even when dealing with complex API responses.

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 Epic Games + Relevance AI integration without writing code:
  • Use proper authentication: Ensure your Epic Games account has the correct API permissions enabled.
  • Follow API guidelines: Respect Epic Games' rate limits and API usage policies.
  • Structure requests properly: Use correct HTTP methods and endpoint paths for each API call.
  • Handle responses carefully: Validate response data before processing in Relevance AI workflows.
  • Monitor usage: Keep track of API quotas and implement error handling for failed requests.