Lucid is a leading provider of data visualization and business intelligence tools that help organizations make data-driven decisions.
Amplify your data insights with AI Agents that can automatically analyze visualizations and trigger intelligent actions.
Lucid transforms complex data into intuitive visual insights. Relevance AI enhances this with intelligent AI agents that can analyze, interpret and act on these visualizations automatically.
Real-Time Insights
The agent delivers immediate data analysis, enabling timely decision-making.
Enhanced Predictive Capabilities
Utilizes advanced analytics to forecast trends and outcomes effectively.
User-Friendly Accessibility
Empowers non-technical users to leverage data insights without coding.
Relevance AI gives you access to Lucid's powerful data visualization and analytics 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 Lucid account
- A Relevance AI account with access to your projects and datasets
- Authorization (you'll connect securely using OAuth—no sensitive info stored manually)
Security & Reliability
The integration uses secure OAuth authentication, ensuring only authorized workflows access your Lucid 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 making authorized requests to the Lucid API.
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 Lucid + Relevance AI integration without writing code:
- Use proper authentication: Ensure OAuth credentials are correctly configured and permissions are set.
- Follow API best practices: Use appropriate HTTP methods for different operations (GET for retrieval, POST for creation).
- Structure requests properly: Include required headers and format request bodies according to Lucid's API specifications.
- Handle responses effectively: Check status codes and parse response bodies for successful API interactions.
- Implement error handling: Monitor API rate limits and implement proper error handling for failed requests.
