{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/29dcfeea1c924de1bdc3aa4f29aa3b37\" frameborder=\"0\" width=\"1730\" height=\"1297\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1297,"width":1730,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1297,"thumbnail_width":1730,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/29dcfeea1c924de1bdc3aa4f29aa3b37-d2f41b31a8ba2d47.gif","duration":68.5925,"title":"Understanding Metafield Viewer","description":"Hey there! In this video, I explain our Metafield Viewer feature, created by David, which has gained popularity among developers. The Metafield Viewer displays all existing metafields in a user-friendly format, including key information like name, namespace, and resource type. It's a handy tool for data management and connecting information across platforms. I also show how to manually refresh and sync new metafields and filter by resource in data science."}