
Weathermap
Customers ask about weather before booking trips, scheduling deliveries, or planning events. Your AI agent queries OpenWeatherMap and responds with current conditions, temperature, humidity, and forecasts. Context-aware conversations powered by live weather data.




Your AI agent taps into OpenWeatherMap to answer location-based weather questions, helping customers make informed decisions about travel, logistics, and outdoor activities.
Weathermap
From travel agencies to delivery services, see how businesses use AI agents with OpenWeatherMap to deliver weather-aware recommendations and smarter service.
A customer browsing vacation packages asks your chatbot about the weather in Bali this week. Your AI Agent queries OpenWeatherMap for Bali's current conditions and delivers temperature, rainfall probability, and humidity readings. The customer decides to book immediately knowing the weather is perfect. Travel agents save time answering repetitive weather questions for every destination inquiry.
A customer asks when their package will arrive during a storm warning. Your AI Agent checks OpenWeatherMap for the delivery area, detects heavy rain and high winds, and proactively informs the customer about potential weather-related delays. The customer appreciates the transparency instead of being surprised. Support tickets about late deliveries decrease significantly.
An event coordinator messages asking whether their outdoor wedding venue will be suitable this Saturday. Your AI Agent retrieves the forecast for that location, reports expected clear skies with mild temperatures and low wind. The coordinator proceeds with confidence. No back-and-forth emails with weather services or manual forecast checking required.

Weathermap
FAQs
The agent calls OpenWeatherMap's Current Weather API with a location parameter. You can specify locations as city names like 'London' or with country codes like 'London,GB'. The API returns temperature, humidity, wind, pressure, and cloud data in real time. Results are formatted conversationally for the customer.
The agent can deliver current temperature, feels-like temperature, min/max daily temperatures, humidity percentage, atmospheric pressure, wind speed and direction, cloud coverage percentage, and general weather descriptions like 'clear sky' or 'light rain'.
Yes. OpenWeatherMap covers over 200,000 cities globally. The agent queries by city name and optional country code. If the initial query returns a 'city not found' error, the agent automatically retries without the country code for a broader match.
No. The Weathermap integration in Tars has no additional credential configuration required on your end. Authentication is handled automatically within the platform, so you can start using weather data in conversations immediately after enabling the tool.
No. Every weather query is made live to OpenWeatherMap during the conversation. Weather conditions are fetched fresh each time a customer asks, ensuring the data is current. No historical weather records are stored by Tars.
A weather widget shows static information on a page. Tars weaves weather data into dynamic conversations. The agent can recommend products based on conditions, warn about delivery delays, or suggest alternative dates for events, all contextually based on the customer's specific query.
The agent handles common variations gracefully. OpenWeatherMap's API matches partial city names, and if a lookup fails, the agent asks the customer to verify the city spelling or provide additional details like country name to narrow down the location.
Yes. Tars supports multi-tool conversations. The agent can check weather through OpenWeatherMap and then look up flight availability, adjust delivery estimates, or recommend indoor alternatives from your product catalog, all within the same customer interaction.
Don't limit your AI Agent to basic conversations. Watch how to configure and add powerful tools making your agent smarter and more functional.

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