Luno is a leading data integration and management platform that helps organizations streamline their data workflows and enhance accessibility.
Supercharge your data operations with AI Agents that can intelligently process and act on your integrated data.
Luno excels at connecting and transforming data across systems. Relevance AI enhances this with intelligent AI Agents that can analyze, process and act on that data in real-time.
Intelligent Data Orchestration
The agent seamlessly coordinates data flows across multiple sources for optimal integration.
Real-time Insight Generation
The agent processes data instantly, delivering actionable insights as events unfold.
Predictive Analytics Capability
The agent leverages historical data to forecast trends and inform strategic decisions.
Relevance AI gives you access to Luno's data integration 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 Luno account
- A Relevance AI account with access to your integration settings
- Authorization (connect securely via OAuth—no manual credential storage)
Security & Reliability
The integration uses secure OAuth authentication, ensuring only authorized workflows access your Luno account data. Relevance AI handles API operations (like GET, POST, PUT, DELETE) in the background—so you don't have to worry about cryptocurrency trading limits, request formatting, or authentication errors.
Built-in validation and request handling ensure your trading workflows run smoothly, even when market data formats vary.
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 Luno + Relevance AI integration without writing code:
- Use secure authentication: Always verify OAuth credentials and API permissions are correctly configured.
- Follow API best practices: Implement proper error handling and respect rate limits for trading operations.
- Structure requests carefully: Ensure API paths and parameters are formatted correctly for each endpoint.
- Test in sandbox: Validate all trading operations in test mode before executing live transactions.
- Monitor responses: Track API response status codes and handle edge cases appropriately.
