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://x0f.org/users/waxwing/statuses/109211688929594043",
"type": "Note",
"summary": null,
"inReplyTo": "https://x0f.org/users/waxwing/statuses/109211682236346064",
"published": "2022-10-22T11:28:44Z",
"url": "https://x0f.org/@waxwing/109211688929594043",
"attributedTo": "https://x0f.org/users/waxwing",
"to": [
"https://www.w3.org/ns/activitystreams#Public"
],
"cc": [
"https://x0f.org/users/waxwing/followers"
],
"sensitive": false,
"atomUri": "https://x0f.org/users/waxwing/statuses/109211688929594043",
"inReplyToAtomUri": "https://x0f.org/users/waxwing/statuses/109211682236346064",
"conversation": "tag:x0f.org,2022-10-22:objectId=3688638:objectType=Conversation",
"content": "<p>Btw this would be a fun project for someone just getting familiar with joinmarket/python/bitcoin coding: soup up this stat collection by collating a bunch of extra data about these transactions. Start from here and look at how block and tx parsing is done:</p><p><a href=\"https://github.com/JoinMarket-Org/joinmarket-clientserver/blob/master/scripts/snicker/snicker-finder.py#L89-L112\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://</span><span class=\"ellipsis\">github.com/JoinMarket-Org/join</span><span class=\"invisible\">market-clientserver/blob/master/scripts/snicker/snicker-finder.py#L89-L112</span></a></p>",
"contentMap": {
"en": "<p>Btw this would be a fun project for someone just getting familiar with joinmarket/python/bitcoin coding: soup up this stat collection by collating a bunch of extra data about these transactions. Start from here and look at how block and tx parsing is done:</p><p><a href=\"https://github.com/JoinMarket-Org/joinmarket-clientserver/blob/master/scripts/snicker/snicker-finder.py#L89-L112\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://</span><span class=\"ellipsis\">github.com/JoinMarket-Org/join</span><span class=\"invisible\">market-clientserver/blob/master/scripts/snicker/snicker-finder.py#L89-L112</span></a></p>"
},
"attachment": [],
"tag": [],
"replies": {
"id": "https://x0f.org/users/waxwing/statuses/109211688929594043/replies",
"type": "Collection",
"first": {
"type": "CollectionPage",
"next": "https://x0f.org/users/waxwing/statuses/109211688929594043/replies?only_other_accounts=true&page=true",
"partOf": "https://x0f.org/users/waxwing/statuses/109211688929594043/replies",
"items": []
}
},
"likes": {
"id": "https://x0f.org/users/waxwing/statuses/109211688929594043/likes",
"type": "Collection",
"totalItems": 4
},
"shares": {
"id": "https://x0f.org/users/waxwing/statuses/109211688929594043/shares",
"type": "Collection",
"totalItems": 0
}
}