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://mastodon.social/users/nidhis/statuses/109293183841288903",
"type": "Note",
"summary": null,
"inReplyTo": null,
"published": "2022-11-05T20:53:58Z",
"url": "https://mastodon.social/@nidhis/109293183841288903",
"attributedTo": "https://mastodon.social/users/nidhis",
"to": [
"https://www.w3.org/ns/activitystreams#Public"
],
"cc": [
"https://mastodon.social/users/nidhis/followers"
],
"sensitive": false,
"atomUri": "https://mastodon.social/users/nidhis/statuses/109293183841288903",
"inReplyToAtomUri": null,
"conversation": "tag:mastodon.social,2022-11-05:objectId=325920250:objectType=Conversation",
"content": "<p>Ok, <a href=\"https://mastodon.social/tags/introduction\" class=\"mention hashtag\" rel=\"tag\">#<span>introduction</span></a> time!</p><p>I lead a research group where we build computational predictive models to understand biological motor control. Most of my work has been on human locomotion, because it is an ecologically relevant task that is challenging to model. Since starting my group at <a href=\"https://mastodon.social/tags/MIT\" class=\"mention hashtag\" rel=\"tag\">#<span>MIT</span></a> our scope has broadened.</p><p>Our models are based on theoretical concepts in optimization, control, and learning. We always seek to build models that are empirically grounded, and help us distill simple principles.</p>",
"contentMap": {
"en": "<p>Ok, <a href=\"https://mastodon.social/tags/introduction\" class=\"mention hashtag\" rel=\"tag\">#<span>introduction</span></a> time!</p><p>I lead a research group where we build computational predictive models to understand biological motor control. Most of my work has been on human locomotion, because it is an ecologically relevant task that is challenging to model. Since starting my group at <a href=\"https://mastodon.social/tags/MIT\" class=\"mention hashtag\" rel=\"tag\">#<span>MIT</span></a> our scope has broadened.</p><p>Our models are based on theoretical concepts in optimization, control, and learning. We always seek to build models that are empirically grounded, and help us distill simple principles.</p>"
},
"attachment": [],
"tag": [
{
"type": "Hashtag",
"href": "https://mastodon.social/tags/introduction",
"name": "#introduction"
},
{
"type": "Hashtag",
"href": "https://mastodon.social/tags/mit",
"name": "#mit"
}
],
"replies": {
"id": "https://mastodon.social/users/nidhis/statuses/109293183841288903/replies",
"type": "Collection",
"first": {
"type": "CollectionPage",
"next": "https://mastodon.social/users/nidhis/statuses/109293183841288903/replies?only_other_accounts=true&page=true",
"partOf": "https://mastodon.social/users/nidhis/statuses/109293183841288903/replies",
"items": []
}
},
"likes": {
"id": "https://mastodon.social/users/nidhis/statuses/109293183841288903/likes",
"type": "Collection",
"totalItems": 15
},
"shares": {
"id": "https://mastodon.social/users/nidhis/statuses/109293183841288903/shares",
"type": "Collection",
"totalItems": 17
}
}