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"
}
],
"id": "https://hci.social/users/chrisamaphone/statuses/109501672966400020",
"type": "Note",
"summary": null,
"inReplyTo": "https://hci.social/users/chrisamaphone/statuses/109496350106427573",
"published": "2022-12-12T16:35:29Z",
"url": "https://hci.social/@chrisamaphone/109501672966400020",
"attributedTo": "https://hci.social/users/chrisamaphone",
"to": [
"https://www.w3.org/ns/activitystreams#Public"
],
"cc": [
"https://hci.social/users/chrisamaphone/followers",
"https://friend.camp/users/aparrish"
],
"sensitive": false,
"atomUri": "https://hci.social/users/chrisamaphone/statuses/109501672966400020",
"inReplyToAtomUri": "https://hci.social/users/chrisamaphone/statuses/109496350106427573",
"conversation": "tag:hci.social,2022-12-11:objectId=1726339:objectType=Conversation",
"content": "<p>alright here we go!<br />1. <span class=\"h-card\" translate=\"no\"><a href=\"https://friend.camp/@aparrish\" class=\"u-url mention\">@<span>aparrish</span></a></span>'s Nonsense Laboratory<br /><a href=\"https://artsexperiments.withgoogle.com/nonsense-laboratory/\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://</span><span class=\"ellipsis\">artsexperiments.withgoogle.com</span><span class=\"invisible\">/nonsense-laboratory/</span></a><br />which "uses machine learning to let you poke at, mangle, and play with the spelling of words." It's based on Allison's pincelate tool (<a href=\"https://github.com/aparrish/pincelate/\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://</span><span class=\"\">github.com/aparrish/pincelate/</span><span class=\"invisible\"></span></a>) which uses the CMU pronouncing dictionary as its dataset.</p>",
"contentMap": {
"en": "<p>alright here we go!<br />1. <span class=\"h-card\" translate=\"no\"><a href=\"https://friend.camp/@aparrish\" class=\"u-url mention\">@<span>aparrish</span></a></span>'s Nonsense Laboratory<br /><a href=\"https://artsexperiments.withgoogle.com/nonsense-laboratory/\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://</span><span class=\"ellipsis\">artsexperiments.withgoogle.com</span><span class=\"invisible\">/nonsense-laboratory/</span></a><br />which "uses machine learning to let you poke at, mangle, and play with the spelling of words." It's based on Allison's pincelate tool (<a href=\"https://github.com/aparrish/pincelate/\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://</span><span class=\"\">github.com/aparrish/pincelate/</span><span class=\"invisible\"></span></a>) which uses the CMU pronouncing dictionary as its dataset.</p>"
},
"attachment": [],
"tag": [
{
"type": "Mention",
"href": "https://friend.camp/users/aparrish",
"name": "@aparrish@friend.camp"
}
],
"replies": {
"id": "https://hci.social/users/chrisamaphone/statuses/109501672966400020/replies",
"type": "Collection",
"first": {
"type": "CollectionPage",
"next": "https://hci.social/users/chrisamaphone/statuses/109501672966400020/replies?min_id=109501681001026720&page=true",
"partOf": "https://hci.social/users/chrisamaphone/statuses/109501672966400020/replies",
"items": [
"https://hci.social/users/chrisamaphone/statuses/109501681001026720"
]
}
},
"likes": {
"id": "https://hci.social/users/chrisamaphone/statuses/109501672966400020/likes",
"type": "Collection",
"totalItems": 7
},
"shares": {
"id": "https://hci.social/users/chrisamaphone/statuses/109501672966400020/shares",
"type": "Collection",
"totalItems": 0
}
}