Integrate Meteosource API

Global weather forecasts based on machine learning and historical data.


Overview

Meteosource is an advanced weather forecasting service that utilizes machine learning and historical data analysis to provide accurate weather predictions. The service offers global coverage with detailed point forecasts, including temperature, precipitation, wind conditions, and atmospheric parameters. It features both short-term and extended forecasts, with particular strength in precipitation forecasting and severe weather prediction. The API provides access to historical weather data, climate analysis, and custom forecast models, making it suitable for both consumer applications and professional weather services.

Example Queries

  • What's the machine learning based forecast for Paris?
  • Check the precipitation probability in Berlin
  • What's the severe weather prediction for Madrid?

Integration Guide

How to integrate with OpenAssistantGPT

  1. Sign up for an API key from Meteosource

    Visit the official documentation to create an account and obtain your API credentials.

  2. Configure the API in OpenAssistantGPT

    In your OpenAssistantGPT dashboard, navigate to the "API Integrations" section and add your Meteosource API key.

  3. Create a custom tool for your chatbot

    Define the capabilities and parameters for your integration, specifying what data you want to retrieve from the Meteosource API.

  4. Test your integration

    Use the testing environment to ensure your chatbot can successfully communicate with the Meteosource API and return relevant information.

  5. Deploy to production

    Once testing is complete, deploy your enhanced chatbot with the new API integration to your production environment.

API Details

Category

Weather