ActivityPub Viewer

A small tool to view real-world ActivityPub objects as JSON! Enter a URL or username from Mastodon or a similar service below, and we'll send a request with the right Accept header to the server to view the underlying object.

Open in browser →
{ "@context": [ "https://www.w3.org/ns/activitystreams", { "ostatus": "http://ostatus.org#", "atomUri": "ostatus:atomUri", "inReplyToAtomUri": "ostatus:inReplyToAtomUri", "conversation": "ostatus:conversation", "sensitive": "as:sensitive", "toot": "http://joinmastodon.org/ns#", "votersCount": "toot:votersCount", "Hashtag": "as:Hashtag" } ], "id": "https://hci.social/users/bwaber/statuses/113994232492590350", "type": "Note", "summary": null, "inReplyTo": "https://hci.social/users/bwaber/statuses/113994232477676088", "published": "2025-02-13T02:32:27Z", "url": "https://hci.social/@bwaber/113994232492590350", "attributedTo": "https://hci.social/users/bwaber", "to": [ "https://www.w3.org/ns/activitystreams#Public" ], "cc": [ "https://hci.social/users/bwaber/followers" ], "sensitive": false, "atomUri": "https://hci.social/users/bwaber/statuses/113994232492590350", "inReplyToAtomUri": "https://hci.social/users/bwaber/statuses/113994232477676088", "conversation": "tag:hci.social,2025-02-13:objectId=35838602:objectType=Conversation", "content": "<p>Next was a fantastic talk by Mark Zhao on how massive machine learning pipelines work and building systems for more scalable pipelines at the UC Irvine Donald Bren School of Information and Computer Sciences. BTW this talk isn&#39;t 4.5 hours long, they just forgot to stop the recording 😂 Highly recommend <a href=\"https://www.youtube.com/watch?v=9FVz1ORU5f8\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://www.</span><span class=\"ellipsis\">youtube.com/watch?v=9FVz1ORU5f</span><span class=\"invisible\">8</span></a> (5/7) <a href=\"https://hci.social/tags/AI\" class=\"mention hashtag\" rel=\"tag\">#<span>AI</span></a></p>", "contentMap": { "en": "<p>Next was a fantastic talk by Mark Zhao on how massive machine learning pipelines work and building systems for more scalable pipelines at the UC Irvine Donald Bren School of Information and Computer Sciences. BTW this talk isn&#39;t 4.5 hours long, they just forgot to stop the recording 😂 Highly recommend <a href=\"https://www.youtube.com/watch?v=9FVz1ORU5f8\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://www.</span><span class=\"ellipsis\">youtube.com/watch?v=9FVz1ORU5f</span><span class=\"invisible\">8</span></a> (5/7) <a href=\"https://hci.social/tags/AI\" class=\"mention hashtag\" rel=\"tag\">#<span>AI</span></a></p>" }, "attachment": [], "tag": [ { "type": "Hashtag", "href": "https://hci.social/tags/ai", "name": "#ai" } ], "replies": { "id": "https://hci.social/users/bwaber/statuses/113994232492590350/replies", "type": "Collection", "first": { "type": "CollectionPage", "next": "https://hci.social/users/bwaber/statuses/113994232492590350/replies?min_id=113994232503760136&page=true", "partOf": "https://hci.social/users/bwaber/statuses/113994232492590350/replies", "items": [ "https://hci.social/users/bwaber/statuses/113994232503760136" ] } }, "likes": { "id": "https://hci.social/users/bwaber/statuses/113994232492590350/likes", "type": "Collection", "totalItems": 0 }, "shares": { "id": "https://hci.social/users/bwaber/statuses/113994232492590350/shares", "type": "Collection", "totalItems": 0 } }