Data from Personal Weather Stations called senseBoxes.
openSenseMap is a citizen science project that collects and provides weather data from a network of personal weather stations called senseBoxes. The service aggregates data from thousands of citizen-operated weather stations worldwide, offering hyperlocal weather information including temperature, humidity, air pressure, and air quality measurements. It features real-time data access and historical measurements from each station, with particular strength in urban microclimate monitoring. The API provides access to both individual station data and aggregated measurements, making it valuable for community-driven weather monitoring and environmental research.
Sign up for an API key from openSenseMap
Visit the official documentation to create an account and obtain your API credentials.
Configure the API in OpenAssistantGPT
In your OpenAssistantGPT dashboard, navigate to the "API Integrations" section and add your openSenseMap API key.
Create a custom tool for your chatbot
Define the capabilities and parameters for your integration, specifying what data you want to retrieve from the openSenseMap API.
Test your integration
Use the testing environment to ensure your chatbot can successfully communicate with the openSenseMap API and return relevant information.
Deploy to production
Once testing is complete, deploy your enhanced chatbot with the new API integration to your production environment.
Category
Weather
Documentation
Visit documentation