Truss is a leading platform designed to streamline and enhance the development of AI-driven applications through data integration, automation, and analytics.
Enhance your data workflows with intelligent AI agents that can derive insights and take automated actions.
Truss provides robust data integration and workflow automation capabilities. Relevance AI transforms these capabilities into intelligent AI agents that can process, analyze, and act on data at scale.
Intelligent Insights
The agent harnesses advanced analytics to deliver actionable insights from complex data.
Seamless Data Orchestration
Effortlessly integrates diverse data sources for a unified view, enhancing decision-making.
Automated Workflow Mastery
Streamlines business processes through automation, reducing manual effort and increasing efficiency.
Relevance AI gives you access to Truss's data integration and automation capabilities within your AI agent 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 Truss account
- A Relevance AI account with access to your project settings
- Authorization (connect securely via API key—no sensitive data stored manually)
Security & Reliability
The integration leverages secure OAuth authentication, ensuring only authorized workflows access your Truss API endpoints. Relevance AI manages HTTP methods and API operations seamlessly—handling authentication headers, request formatting, and response validation automatically.
Built-in request validation and response handling ensure reliable API interactions, with support for multiple data formats and content types.
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 Truss + Relevance AI integration without writing code:
- Configure API endpoints: Set up proper authentication and verify API paths before deployment.
- Use correct HTTP methods: Match GET, POST, PUT, DELETE, or PATCH to your intended operation.
- Structure request bodies: Format JSON payloads according to Truss API specifications.
- Handle responses properly: Monitor status codes and response bodies for successful integration.
- Implement error handling: Set up proper error catching and logging for failed API calls.
