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/jakelow/statuses/102857790570937402",
"type": "Note",
"summary": null,
"inReplyTo": null,
"published": "2019-09-26T08:08:49Z",
"url": "https://mastodon.social/@jakelow/102857790570937402",
"attributedTo": "https://mastodon.social/users/jakelow",
"to": [
"https://www.w3.org/ns/activitystreams#Public"
],
"cc": [
"https://mastodon.social/users/jakelow/followers"
],
"sensitive": false,
"atomUri": "https://mastodon.social/users/jakelow/statuses/102857790570937402",
"inReplyToAtomUri": null,
"conversation": "tag:mastodon.social,2019-09-26:objectId=126671611:objectType=Conversation",
"content": "<p>Been experimenting recently with simple image processing routines (e.g. brightness, contrast, gamma transforms) in <a href=\"https://mastodon.social/tags/javascript\" class=\"mention hashtag\" rel=\"tag\">#<span>javascript</span></a>. For modest resolution inputs, the performance of a naive implementation is surprisingly good. You can try it out in this <a href=\"https://mastodon.social/tags/observablehq\" class=\"mention hashtag\" rel=\"tag\">#<span>observablehq</span></a> notebook:</p><p><a href=\"https://observablehq.com/@jake-low/image-processing-point-operations\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://</span><span class=\"ellipsis\">observablehq.com/@jake-low/ima</span><span class=\"invisible\">ge-processing-point-operations</span></a></p>",
"contentMap": {
"en": "<p>Been experimenting recently with simple image processing routines (e.g. brightness, contrast, gamma transforms) in <a href=\"https://mastodon.social/tags/javascript\" class=\"mention hashtag\" rel=\"tag\">#<span>javascript</span></a>. For modest resolution inputs, the performance of a naive implementation is surprisingly good. You can try it out in this <a href=\"https://mastodon.social/tags/observablehq\" class=\"mention hashtag\" rel=\"tag\">#<span>observablehq</span></a> notebook:</p><p><a href=\"https://observablehq.com/@jake-low/image-processing-point-operations\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://</span><span class=\"ellipsis\">observablehq.com/@jake-low/ima</span><span class=\"invisible\">ge-processing-point-operations</span></a></p>"
},
"attachment": [],
"tag": [
{
"type": "Hashtag",
"href": "https://mastodon.social/tags/javascript",
"name": "#javascript"
},
{
"type": "Hashtag",
"href": "https://mastodon.social/tags/observablehq",
"name": "#observablehq"
}
],
"replies": {
"id": "https://mastodon.social/users/jakelow/statuses/102857790570937402/replies",
"type": "Collection",
"first": {
"type": "CollectionPage",
"next": "https://mastodon.social/users/jakelow/statuses/102857790570937402/replies?only_other_accounts=true&page=true",
"partOf": "https://mastodon.social/users/jakelow/statuses/102857790570937402/replies",
"items": []
}
},
"likes": {
"id": "https://mastodon.social/users/jakelow/statuses/102857790570937402/likes",
"type": "Collection",
"totalItems": 0
},
"shares": {
"id": "https://mastodon.social/users/jakelow/statuses/102857790570937402/shares",
"type": "Collection",
"totalItems": 0
}
}