<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/d234eab7dd7d4350abb2606ad5591922&quot; frameborder=&quot;0&quot; width=&quot;1280&quot; height=&quot;960&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>960</height><width>1280</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>960</thumbnail_height><thumbnail_width>1280</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/d234eab7dd7d4350abb2606ad5591922-057daa5aa163a07d.gif</thumbnail_url><duration>289.347</duration><title>Building an Agent for City Temperature Data</title><description>This Loom explains how to use the Meteo open source API platform to fetch temperature data for cities in an agentic workflow. The creator finds a Meteo playground example, generates requests using latitude and longitude, and verifies how to send the request to receive results including humidity, wind speed, timezone, and hourly data. They then customize the request for a specific city, replacing the latitude and longitude values for Lahore to retrieve today’s temperature. They confirm the final request and temperature payload can then be used with an API key inside their own agent platform.</description></oembed>