Meteosource Integration Guide

This guide will walk you through integrating the Meteosource API with your OpenAssistantGPT chatbot.

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.

Integration Steps

1. Review API Documentation

First, visit the Meteosource API documentation to understand the available endpoints and how they work.

2. Create Custom Action

In your OpenAssistantGPT dashboard:

1. Go to the Actions Dashboard
2. Click "Create New Action"
3. Chose Get or Post
4. Fill the action form with the following details:

Name: get_meteosource_data

Description: Get data using Meteosource

URL: https://www.meteosource.com/

Parameters: This will depend on the API you are integrating. Parameters are query parameters passed in the URL.

3. Assign Action to Your Chatbot

1. Go to your Chatbot Dashboard
2. Select your chatbot
3. Go to "Settings" > "Actions"
4. Add the get_meteosource_data action to your chatbot

Using the Integration

Your chatbot can now handle weather-related queries. Here are some example questions you can ask:

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

The chatbot will automatically use the Meteosource API to fetch and return the requested information.

Additional Resources

• Meteosource API Documentation
• OpenAssistantGPT Actions Guide
• Custom Action Tutorial