Air Now is a leading platform that provides real-time air quality data and analytics for informed environmental decision-making.
Enhance your environmental monitoring with AI agents that can automatically analyze trends, generate alerts, and drive sustainability initiatives.



Air Now delivers real-time air quality data and predictive analytics. Relevance AI transforms this environmental intelligence into actionable insights through AI agents that can monitor, analyze, and respond to air quality changes automatically.
Real-Time Insight Generation
The agent can instantly analyze air quality data, providing timely insights for decision-making.
Predictive Trend Analysis
Utilizes advanced algorithms to forecast air quality changes, enabling proactive measures.
Automated Alert Systems
Sends immediate notifications about air quality fluctuations, ensuring swift responses.
Relevance AI gives you access to Air Now's environmental monitoring 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 leverages secure OAuth authentication to access AirNow's air quality data while Relevance AI manages API operations seamlessly in the background. The system automatically handles request formatting, rate limits, and data validation.
Built-in error handling and data transformation ensure consistent air quality monitoring workflows, even with varying measurement formats.
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 AirNow + Relevance AI integration without writing code:
- Use accurate location data: Ensure precise coordinates or ZIP codes for reliable air quality readings.
- Monitor API limits: Stay within AirNow's daily request limits to maintain consistent data flow.
- Set up alerts: Configure notifications for significant air quality changes or threshold breaches.
- Validate responses: Check that API responses contain complete data before processing.
- Schedule wisely: Time your API calls to coincide with AirNow's data update intervals.