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://mastodon.social/users/jmquinn/statuses/109356827478831589",
"type": "Note",
"summary": null,
"inReplyTo": "https://mastodon.social/users/jmquinn/statuses/109356814146596877",
"published": "2022-11-17T02:39:23Z",
"url": "https://mastodon.social/@jmquinn/109356827478831589",
"attributedTo": "https://mastodon.social/users/jmquinn",
"to": [
"https://www.w3.org/ns/activitystreams#Public"
],
"cc": [
"https://mastodon.social/users/jmquinn/followers",
"https://fosstodon.org/users/vincentab"
],
"sensitive": false,
"atomUri": "https://mastodon.social/users/jmquinn/statuses/109356827478831589",
"inReplyToAtomUri": "https://mastodon.social/users/jmquinn/statuses/109356814146596877",
"conversation": "tag:fosstodon.org,2022-11-04:objectId=56190914:objectType=Conversation",
"content": "<p><span class=\"h-card\" translate=\"no\"><a href=\"https://fosstodon.org/@vincentab\" class=\"u-url mention\">@<span>vincentab</span></a></span> related - I would love to see a tutorial/blog post that walks through an empirical example step by step to demonstrate the distinction between “adjusted predictions” that other marginal effects packages deploy vs the derivative equivalent. So much so that I may even write one myself if I tinker enough 🤣</p>",
"contentMap": {
"en": "<p><span class=\"h-card\" translate=\"no\"><a href=\"https://fosstodon.org/@vincentab\" class=\"u-url mention\">@<span>vincentab</span></a></span> related - I would love to see a tutorial/blog post that walks through an empirical example step by step to demonstrate the distinction between “adjusted predictions” that other marginal effects packages deploy vs the derivative equivalent. So much so that I may even write one myself if I tinker enough 🤣</p>"
},
"attachment": [],
"tag": [
{
"type": "Mention",
"href": "https://fosstodon.org/users/vincentab",
"name": "@vincentab@fosstodon.org"
}
],
"replies": {
"id": "https://mastodon.social/users/jmquinn/statuses/109356827478831589/replies",
"type": "Collection",
"first": {
"type": "CollectionPage",
"next": "https://mastodon.social/users/jmquinn/statuses/109356827478831589/replies?only_other_accounts=true&page=true",
"partOf": "https://mastodon.social/users/jmquinn/statuses/109356827478831589/replies",
"items": []
}
},
"likes": {
"id": "https://mastodon.social/users/jmquinn/statuses/109356827478831589/likes",
"type": "Collection",
"totalItems": 0
},
"shares": {
"id": "https://mastodon.social/users/jmquinn/statuses/109356827478831589/shares",
"type": "Collection",
"totalItems": 0
}
}