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"
},
"Hashtag": "as:Hashtag"
}
],
"id": "https://floss.social/users/LabPlot/statuses/113656400013710146",
"type": "Note",
"summary": null,
"inReplyTo": "https://social.linux.pizza/users/http/statuses/113656339777178051",
"published": "2024-12-15T10:37:13Z",
"url": "https://floss.social/@LabPlot/113656400013710146",
"attributedTo": "https://floss.social/users/LabPlot",
"to": [
"https://www.w3.org/ns/activitystreams#Public"
],
"cc": [
"https://floss.social/users/LabPlot/followers",
"https://social.linux.pizza/users/http",
"https://programming.dev/c/programming",
"https://programming.dev/c/programming/followers",
"https://floss.social/users/LabPlot"
],
"sensitive": false,
"atomUri": "https://floss.social/users/LabPlot/statuses/113656400013710146",
"inReplyToAtomUri": "https://social.linux.pizza/users/http/statuses/113656339777178051",
"conversation": "tag:floss.social,2024-12-14:objectId=76059330:objectType=Conversation",
"content": "<p><span class=\"h-card\" translate=\"no\"><a href=\"https://social.linux.pizza/@http\" class=\"u-url mention\">@<span>http</span></a></span> <span class=\"h-card\" translate=\"no\"><a href=\"https://programming.dev/c/programming\" class=\"u-url mention\">@<span>programming</span></a></span> </p><p>Yes, this is another example of the importance of data visualization.</p><p><a href=\"https://floss.social/tags/LabPlot\" class=\"mention hashtag\" rel=\"tag\">#<span>LabPlot</span></a>'s collection of examples includes the <a href=\"https://floss.social/tags/Anscombe\" class=\"mention hashtag\" rel=\"tag\">#<span>Anscombe</span></a>'s quartet, the <a href=\"https://floss.social/tags/Simpson\" class=\"mention hashtag\" rel=\"tag\">#<span>Simpson</span></a>'s paradox and the <a href=\"https://floss.social/tags/Datasaurus\" class=\"mention hashtag\" rel=\"tag\">#<span>Datasaurus</span></a> Dozen [1]. These examples are quickly available in <span class=\"h-card\" translate=\"no\"><a href=\"https://floss.social/@LabPlot\" class=\"u-url mention\">@<span>LabPlot</span></a></span> via File > Open Example.</p><p>[1] <a href=\"https://www.research.autodesk.com/publications/same-stats-different-graphs\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://www.</span><span class=\"ellipsis\">research.autodesk.com/publicat</span><span class=\"invisible\">ions/same-stats-different-graphs</span></a></p><p><a href=\"https://floss.social/tags/DataVisualization\" class=\"mention hashtag\" rel=\"tag\">#<span>DataVisualization</span></a> <a href=\"https://floss.social/tags/DataViz\" class=\"mention hashtag\" rel=\"tag\">#<span>DataViz</span></a> <a href=\"https://floss.social/tags/Statistics\" class=\"mention hashtag\" rel=\"tag\">#<span>Statistics</span></a> <a href=\"https://floss.social/tags/DataAnalysis\" class=\"mention hashtag\" rel=\"tag\">#<span>DataAnalysis</span></a></p>",
"contentMap": {
"en": "<p><span class=\"h-card\" translate=\"no\"><a href=\"https://social.linux.pizza/@http\" class=\"u-url mention\">@<span>http</span></a></span> <span class=\"h-card\" translate=\"no\"><a href=\"https://programming.dev/c/programming\" class=\"u-url mention\">@<span>programming</span></a></span> </p><p>Yes, this is another example of the importance of data visualization.</p><p><a href=\"https://floss.social/tags/LabPlot\" class=\"mention hashtag\" rel=\"tag\">#<span>LabPlot</span></a>'s collection of examples includes the <a href=\"https://floss.social/tags/Anscombe\" class=\"mention hashtag\" rel=\"tag\">#<span>Anscombe</span></a>'s quartet, the <a href=\"https://floss.social/tags/Simpson\" class=\"mention hashtag\" rel=\"tag\">#<span>Simpson</span></a>'s paradox and the <a href=\"https://floss.social/tags/Datasaurus\" class=\"mention hashtag\" rel=\"tag\">#<span>Datasaurus</span></a> Dozen [1]. These examples are quickly available in <span class=\"h-card\" translate=\"no\"><a href=\"https://floss.social/@LabPlot\" class=\"u-url mention\">@<span>LabPlot</span></a></span> via File > Open Example.</p><p>[1] <a href=\"https://www.research.autodesk.com/publications/same-stats-different-graphs\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://www.</span><span class=\"ellipsis\">research.autodesk.com/publicat</span><span class=\"invisible\">ions/same-stats-different-graphs</span></a></p><p><a href=\"https://floss.social/tags/DataVisualization\" class=\"mention hashtag\" rel=\"tag\">#<span>DataVisualization</span></a> <a href=\"https://floss.social/tags/DataViz\" class=\"mention hashtag\" rel=\"tag\">#<span>DataViz</span></a> <a href=\"https://floss.social/tags/Statistics\" class=\"mention hashtag\" rel=\"tag\">#<span>Statistics</span></a> <a href=\"https://floss.social/tags/DataAnalysis\" class=\"mention hashtag\" rel=\"tag\">#<span>DataAnalysis</span></a></p>"
},
"updated": "2024-12-15T10:49:02Z",
"attachment": [
{
"type": "Document",
"mediaType": "image/png",
"url": "https://cdn.masto.host/floss/media_attachments/files/113/656/387/407/428/245/original/8f8a67fb7b45275a.png",
"name": "The Datasaurus Dozen",
"blurhash": "U6Qcn{t7D%-;RjRjt7M{00ayxuayxuM{IURj",
"focalPoint": [
0,
0
],
"width": 793,
"height": 793
},
{
"type": "Document",
"mediaType": "image/png",
"url": "https://cdn.masto.host/floss/media_attachments/files/113/656/387/411/729/811/original/8d2b14d95b6ae92a.png",
"name": "Anscombe's quartet",
"blurhash": "U3Rysg?bRj-;_3fkoeWBaeWCj[ay~qoKazoy",
"focalPoint": [
0,
0
],
"width": 782,
"height": 782
},
{
"type": "Document",
"mediaType": "image/png",
"url": "https://cdn.masto.host/floss/media_attachments/files/113/656/387/413/796/241/original/26e796ae24753c05.png",
"name": "Simpson's Paradox",
"blurhash": "U5RW0bofIVxu~qofofxu?bxuoft7_3WBayM{",
"focalPoint": [
0,
0
],
"width": 788,
"height": 503
}
],
"tag": [
{
"type": "Mention",
"href": "https://social.linux.pizza/users/http",
"name": "@http@social.linux.pizza"
},
{
"type": "Mention",
"href": "https://programming.dev/c/programming",
"name": "@programming@programming.dev"
},
{
"type": "Mention",
"href": "https://floss.social/users/LabPlot",
"name": "@LabPlot"
},
{
"type": "Hashtag",
"href": "https://floss.social/tags/anscombe",
"name": "#anscombe"
},
{
"type": "Hashtag",
"href": "https://floss.social/tags/simpson",
"name": "#simpson"
},
{
"type": "Hashtag",
"href": "https://floss.social/tags/datasaurus",
"name": "#datasaurus"
},
{
"type": "Hashtag",
"href": "https://floss.social/tags/labplot",
"name": "#labplot"
},
{
"type": "Hashtag",
"href": "https://floss.social/tags/dataVisualization",
"name": "#dataVisualization"
},
{
"type": "Hashtag",
"href": "https://floss.social/tags/statistics",
"name": "#statistics"
},
{
"type": "Hashtag",
"href": "https://floss.social/tags/dataViz",
"name": "#dataViz"
},
{
"type": "Hashtag",
"href": "https://floss.social/tags/dataanalysis",
"name": "#dataanalysis"
}
],
"replies": {
"id": "https://floss.social/users/LabPlot/statuses/113656400013710146/replies",
"type": "Collection",
"first": {
"type": "CollectionPage",
"next": "https://floss.social/users/LabPlot/statuses/113656400013710146/replies?only_other_accounts=true&page=true",
"partOf": "https://floss.social/users/LabPlot/statuses/113656400013710146/replies",
"items": []
}
},
"likes": {
"id": "https://floss.social/users/LabPlot/statuses/113656400013710146/likes",
"type": "Collection",
"totalItems": 2
},
"shares": {
"id": "https://floss.social/users/LabPlot/statuses/113656400013710146/shares",
"type": "Collection",
"totalItems": 0
}
}