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://sigmoid.social/users/lenarddome/statuses/114352529036008497",
"type": "Note",
"summary": null,
"inReplyTo": null,
"published": "2025-04-17T09:11:59Z",
"url": "https://sigmoid.social/@lenarddome/114352529036008497",
"attributedTo": "https://sigmoid.social/users/lenarddome",
"to": [
"https://www.w3.org/ns/activitystreams#Public"
],
"cc": [
"https://sigmoid.social/users/lenarddome/followers"
],
"sensitive": false,
"atomUri": "https://sigmoid.social/users/lenarddome/statuses/114352529036008497",
"inReplyToAtomUri": null,
"conversation": "tag:sigmoid.social,2025-04-17:objectId=55697817:objectType=Conversation",
"content": "<p>This one is finally out! 🎉</p><p>We introduce g-distance, a measure we derive with Set Theory that assesses model adequacy by comparing the range of behaviours exhibited by models to that of humans. <a href=\"https://sigmoid.social/tags/computationalmodeling\" class=\"mention hashtag\" rel=\"tag\">#<span>computationalmodeling</span></a> <br /><a href=\"https://sigmoid.social/tags/cognitivescience\" class=\"mention hashtag\" rel=\"tag\">#<span>cognitivescience</span></a> </p><p><a href=\"https://psycnet.apa.org/doi/10.1037/rev0000550\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://</span><span class=\"ellipsis\">psycnet.apa.org/doi/10.1037/re</span><span class=\"invisible\">v0000550</span></a></p>",
"contentMap": {
"en": "<p>This one is finally out! 🎉</p><p>We introduce g-distance, a measure we derive with Set Theory that assesses model adequacy by comparing the range of behaviours exhibited by models to that of humans. <a href=\"https://sigmoid.social/tags/computationalmodeling\" class=\"mention hashtag\" rel=\"tag\">#<span>computationalmodeling</span></a> <br /><a href=\"https://sigmoid.social/tags/cognitivescience\" class=\"mention hashtag\" rel=\"tag\">#<span>cognitivescience</span></a> </p><p><a href=\"https://psycnet.apa.org/doi/10.1037/rev0000550\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://</span><span class=\"ellipsis\">psycnet.apa.org/doi/10.1037/re</span><span class=\"invisible\">v0000550</span></a></p>"
},
"attachment": [],
"tag": [
{
"type": "Hashtag",
"href": "https://sigmoid.social/tags/ComputationalModeling",
"name": "#ComputationalModeling"
},
{
"type": "Hashtag",
"href": "https://sigmoid.social/tags/cognitivescience",
"name": "#cognitivescience"
}
],
"replies": {
"id": "https://sigmoid.social/users/lenarddome/statuses/114352529036008497/replies",
"type": "Collection",
"first": {
"type": "CollectionPage",
"next": "https://sigmoid.social/users/lenarddome/statuses/114352529036008497/replies?min_id=114352531724320218&page=true",
"partOf": "https://sigmoid.social/users/lenarddome/statuses/114352529036008497/replies",
"items": [
"https://sigmoid.social/users/lenarddome/statuses/114352531724320218"
]
}
},
"likes": {
"id": "https://sigmoid.social/users/lenarddome/statuses/114352529036008497/likes",
"type": "Collection",
"totalItems": 2
},
"shares": {
"id": "https://sigmoid.social/users/lenarddome/statuses/114352529036008497/shares",
"type": "Collection",
"totalItems": 1
}
}