Yr is a leading provider of advanced data analytics and business intelligence solutions that help organizations make data-driven decisions.
Enhance your analytics with AI agents that can automatically derive insights and take action based on real-time data.
Yr delivers powerful data analytics and business intelligence insights. Relevance AI transforms these insights into intelligent actions through AI agents that can analyze, predict, and optimize business processes.
Real-Time Insight Generation
Agents can access live data streams for immediate decision-making.
Dynamic Predictive Modeling
Agents leverage advanced algorithms to forecast trends as data evolves.
Seamless Data Integration
Agents can unify data from multiple sources for comprehensive analysis.
Relevance AI gives you access to Yr's advanced analytics 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 Relevance AI account
- An Airtable account with access to the base and table you'd like to use
- 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 Yr weather data. Relevance AI handles API operations (like GET, POST, PUT, DELETE) in the background—so you don't have to worry about request formatting, headers, or rate limits.
Built-in validation and path handling ensure your weather data workflows run smoothly, even when API responses 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.
To get the most out of the Yr + Relevance AI integration without writing code:
- Use proper authentication: Ensure your Yr API credentials are correctly configured and permissions are set.
- Follow API guidelines: Respect Yr's rate limits and include appropriate user agent headers.
- Structure requests carefully: Use correct endpoint paths and parameters for weather data retrieval.
- Cache responses: Store weather data appropriately to avoid unnecessary API calls.
- Handle updates efficiently: Schedule weather data updates at reasonable intervals based on forecast needs.
