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",
"blurhash": "toot:blurhash",
"focalPoint": {
"@container": "@list",
"@id": "toot:focalPoint"
}
}
],
"id": "https://sigmoid.social/users/lenarddome/statuses/114352531724320218/replies",
"type": "Collection",
"first": {
"id": "https://sigmoid.social/users/lenarddome/statuses/114352531724320218/replies?page=true",
"type": "CollectionPage",
"next": "https://sigmoid.social/users/lenarddome/statuses/114352531724320218/replies?only_other_accounts=true&page=true",
"partOf": "https://sigmoid.social/users/lenarddome/statuses/114352531724320218/replies",
"items": [
{
"id": "https://sigmoid.social/users/lenarddome/statuses/114352533842864253",
"type": "Note",
"summary": null,
"inReplyTo": "https://sigmoid.social/users/lenarddome/statuses/114352531724320218",
"published": "2025-04-17T09:13:12Z",
"url": "https://sigmoid.social/@lenarddome/114352533842864253",
"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/114352533842864253",
"inReplyToAtomUri": "https://sigmoid.social/users/lenarddome/statuses/114352531724320218",
"conversation": "tag:sigmoid.social,2025-04-17:objectId=55697817:objectType=Conversation",
"content": "<p>To determine the range of a model's behaviour, we use parameter-space partitioning (PSP), a sophisticated MCMC. This method explores the model's parameter space to discover all the distinct patterns of behaviour it can generate. It slices up model behaviour into distinct ordinal behaviours.</p>",
"contentMap": {
"en": "<p>To determine the range of a model's behaviour, we use parameter-space partitioning (PSP), a sophisticated MCMC. This method explores the model's parameter space to discover all the distinct patterns of behaviour it can generate. It slices up model behaviour into distinct ordinal behaviours.</p>"
},
"attachment": [
{
"type": "Document",
"mediaType": "image/jpeg",
"url": "https://cdn.masto.host/sigmoidsocial/media_attachments/files/114/352/533/688/542/829/original/864471a208bb032f.jpeg",
"name": null,
"blurhash": "UbP$zfsIrstR8|sFnlWY?]k9WYR-.8bYWrs+",
"width": 4000,
"height": 1460
}
],
"tag": [],
"replies": {
"id": "https://sigmoid.social/users/lenarddome/statuses/114352533842864253/replies",
"type": "Collection",
"first": {
"type": "CollectionPage",
"next": "https://sigmoid.social/users/lenarddome/statuses/114352533842864253/replies?min_id=114352534535640605&page=true",
"partOf": "https://sigmoid.social/users/lenarddome/statuses/114352533842864253/replies",
"items": [
"https://sigmoid.social/users/lenarddome/statuses/114352534535640605"
]
}
},
"likes": {
"id": "https://sigmoid.social/users/lenarddome/statuses/114352533842864253/likes",
"type": "Collection",
"totalItems": 1
},
"shares": {
"id": "https://sigmoid.social/users/lenarddome/statuses/114352533842864253/shares",
"type": "Collection",
"totalItems": 0
}
}
]
}
}