Integrations

Supercharge OpenWeather with Relevance AI

OpenWeather offers a robust API for accessing current weather and forecast data based on location. With Relevance AI, you can harness this data to create intelligent workflows that adapt to changing weather conditions.

Give your AI Agents OpenWeather Superpowers

OpenWeather provides comprehensive weather data, including current conditions and forecasts. Relevance AI leverages this data to empower AI Agents that can make informed decisions based on weather patterns and trends.

Environmental Intelligence Mastery

The AI agent gains comprehensive understanding of weather patterns and environmental conditions for precise decision orchestration.

Predictive Weather Orchestration

Enables the agent to anticipate and proactively respond to weather-related scenarios through advanced forecasting capabilities.

Real-Time Adaptation Intelligence

Equips the agent with dynamic response capabilities based on live weather data and changing conditions.

Tools

Equip AI Agents with the OpenWeather Tools they need

Relevance AI integrates seamlessly with OpenWeather to enhance your workflows with real-time weather data.

OpenWeather API - Get Weather Forecast by ZIP code
Retrieves detailed weather forecast data for a specified ZIP code location, allowing users to access future weather predictions with support for different measurement units and country codes
OpenWeather API - Get Current Weather by ZIP code
Fetches real-time weather information for a specific ZIP code location, providing current weather conditions with customizable measurement units and country-specific data
Name
OpenWeather API Call
Description
Make an authorized request to a OpenWeather API
Parameters
["OAuth account authentication", "HTTP method selection (GET, POST, PUT, DELETE, PATCH)", "Custom request headers", "Request body configuration", "API endpoint path customization"]
Use Case
A weather forecasting app uses the OpenWeather API to fetch real-time weather data for multiple cities, enabling automated alerts when severe weather conditions are detected and helping users plan outdoor activities with confidence.

Security & Reliability

The OpenWeather and Relevance AI integration utilizes secure OAuth authentication, ensuring that only authorized applications can access weather data services. Relevance AI manages API operations (such as GET requests for current weather and forecasts) seamlessly, allowing developers to focus on building their applications without worrying about errors, formatting, or rate limits.

With built-in validation and support for multiple measurement units, this integration guarantees that your applications can retrieve accurate and relevant weather information based on ZIP codes, regardless of the data format variations.

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.

Get Started

Best Practices for Non-Technical Users

To get the most out of the OpenWeather + Relevance AI integration without writing code:
  • Start with a valid OpenWeather account: Ensure you have an active OpenWeather API account and a valid API key.
  • Use clear parameters: When making API calls, use clear and consistent parameter names for ZIP codes and units.
  • Test API calls: Before deploying, test your API calls with known ZIP codes to ensure correct responses.
  • Implement error handling: Use try-catch blocks to manage potential errors such as authentication issues or rate limits.
  • Monitor API usage: Keep track of your API usage to avoid hitting rate limits and implement caching for frequently requested data.