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.
{
"@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://mathstodon.xyz/users/dlzv/statuses/108205562930782895",
"type": "Note",
"summary": null,
"inReplyTo": null,
"published": "2022-04-27T18:57:40Z",
"url": "https://mathstodon.xyz/@dlzv/108205562930782895",
"attributedTo": "https://mathstodon.xyz/users/dlzv",
"to": [
"https://www.w3.org/ns/activitystreams#Public"
],
"cc": [
"https://mathstodon.xyz/users/dlzv/followers"
],
"sensitive": false,
"atomUri": "https://mathstodon.xyz/users/dlzv/statuses/108205562930782895",
"inReplyToAtomUri": null,
"conversation": "tag:mathstodon.xyz,2022-04-27:objectId=24769697:objectType=Conversation",
"content": "<p>Hello world! Short <a href=\"https://mathstodon.xyz/tags/introduction\" class=\"mention hashtag\" rel=\"tag\">#<span>introduction</span></a>:<br />I am a research engineer working on algorithms for medical devices. Our job is to help clinicians better understand neuromuscular diseases through the analysis of movement, from inertial sensors data.<br />My interests span (mostly applied) maths, stats, ML, optimization, computing in general, open source, generative art... and I hope that the list will continue growing!</p>",
"contentMap": {
"en": "<p>Hello world! Short <a href=\"https://mathstodon.xyz/tags/introduction\" class=\"mention hashtag\" rel=\"tag\">#<span>introduction</span></a>:<br />I am a research engineer working on algorithms for medical devices. Our job is to help clinicians better understand neuromuscular diseases through the analysis of movement, from inertial sensors data.<br />My interests span (mostly applied) maths, stats, ML, optimization, computing in general, open source, generative art... and I hope that the list will continue growing!</p>"
},
"attachment": [],
"tag": [
{
"type": "Hashtag",
"href": "https://mathstodon.xyz/tags/introduction",
"name": "#introduction"
}
],
"replies": {
"id": "https://mathstodon.xyz/users/dlzv/statuses/108205562930782895/replies",
"type": "Collection",
"first": {
"type": "CollectionPage",
"next": "https://mathstodon.xyz/users/dlzv/statuses/108205562930782895/replies?only_other_accounts=true&page=true",
"partOf": "https://mathstodon.xyz/users/dlzv/statuses/108205562930782895/replies",
"items": []
}
},
"likes": {
"id": "https://mathstodon.xyz/users/dlzv/statuses/108205562930782895/likes",
"type": "Collection",
"totalItems": 4
},
"shares": {
"id": "https://mathstodon.xyz/users/dlzv/statuses/108205562930782895/shares",
"type": "Collection",
"totalItems": 0
}
}