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/114103436682747817",
"type": "Note",
"summary": null,
"inReplyTo": null,
"published": "2025-03-04T09:24:31Z",
"url": "https://floss.social/@LabPlot/114103436682747817",
"attributedTo": "https://floss.social/users/LabPlot",
"to": [
"https://www.w3.org/ns/activitystreams#Public"
],
"cc": [
"https://floss.social/users/LabPlot/followers",
"https://lemmy.kde.social/u/labplot",
"https://lemmy.ml/c/opensource",
"https://lemmy.ml/c/opensource/followers"
],
"sensitive": false,
"atomUri": "https://floss.social/users/LabPlot/statuses/114103436682747817",
"inReplyToAtomUri": null,
"conversation": "tag:floss.social,2025-03-04:objectId=82273436:objectType=Conversation",
"content": "<p>An example analysis of a <a href=\"https://floss.social/tags/learning\" class=\"mention hashtag\" rel=\"tag\">#<span>learning</span></a> process with <a href=\"https://floss.social/tags/LabPlot\" class=\"mention hashtag\" rel=\"tag\">#<span>LabPlot</span></a> dev (P-chart).</p><p><span class=\"h-card\" translate=\"no\"><a href=\"https://lemmy.kde.social/u/labplot\" class=\"u-url mention\">@<span>labplot@lemmy.kde.social</span></a></span> <span class=\"h-card\" translate=\"no\"><a href=\"https://lemmy.ml/c/opensource\" class=\"u-url mention\">@<span>opensource</span></a></span></p><p>👉 The process is off the target and has large variation. Variation always creates costs.<br />👉 The point outside the limits is evidence that assignable causes with dominant effects are present and the process will behave UNPREDICTABLY.</p><p>'With an unpredictable process, PREDICTION IS FUTILE, but action may be taken to move the process closer to its full potential.' D.J. <a href=\"https://floss.social/tags/Wheeler\" class=\"mention hashtag\" rel=\"tag\">#<span>Wheeler</span></a></p><p><a href=\"https://floss.social/tags/Anki\" class=\"mention hashtag\" rel=\"tag\">#<span>Anki</span></a> <a href=\"https://floss.social/tags/OpenSource\" class=\"mention hashtag\" rel=\"tag\">#<span>OpenSource</span></a> <a href=\"https://floss.social/tags/FSRS\" class=\"mention hashtag\" rel=\"tag\">#<span>FSRS</span></a></p>",
"contentMap": {
"en": "<p>An example analysis of a <a href=\"https://floss.social/tags/learning\" class=\"mention hashtag\" rel=\"tag\">#<span>learning</span></a> process with <a href=\"https://floss.social/tags/LabPlot\" class=\"mention hashtag\" rel=\"tag\">#<span>LabPlot</span></a> dev (P-chart).</p><p><span class=\"h-card\" translate=\"no\"><a href=\"https://lemmy.kde.social/u/labplot\" class=\"u-url mention\">@<span>labplot@lemmy.kde.social</span></a></span> <span class=\"h-card\" translate=\"no\"><a href=\"https://lemmy.ml/c/opensource\" class=\"u-url mention\">@<span>opensource</span></a></span></p><p>👉 The process is off the target and has large variation. Variation always creates costs.<br />👉 The point outside the limits is evidence that assignable causes with dominant effects are present and the process will behave UNPREDICTABLY.</p><p>'With an unpredictable process, PREDICTION IS FUTILE, but action may be taken to move the process closer to its full potential.' D.J. <a href=\"https://floss.social/tags/Wheeler\" class=\"mention hashtag\" rel=\"tag\">#<span>Wheeler</span></a></p><p><a href=\"https://floss.social/tags/Anki\" class=\"mention hashtag\" rel=\"tag\">#<span>Anki</span></a> <a href=\"https://floss.social/tags/OpenSource\" class=\"mention hashtag\" rel=\"tag\">#<span>OpenSource</span></a> <a href=\"https://floss.social/tags/FSRS\" class=\"mention hashtag\" rel=\"tag\">#<span>FSRS</span></a></p>"
},
"updated": "2025-03-08T12:47:47Z",
"attachment": [
{
"type": "Document",
"mediaType": "image/png",
"url": "https://cdn.masto.host/floss/media_attachments/files/114/100/029/855/637/847/original/83eea7689d64780f.png",
"name": "Image: Control Chart made in LabPlot",
"blurhash": "U5R:E9E0.R=|KjMd?GyD--?c~qo#=ao}pIVZ",
"focalPoint": [
0,
0
],
"width": 1181,
"height": 944
}
],
"tag": [
{
"type": "Mention",
"href": "https://lemmy.kde.social/u/labplot",
"name": "@labplot@lemmy.kde.social"
},
{
"type": "Mention",
"href": "https://lemmy.ml/c/opensource",
"name": "@opensource@lemmy.ml"
},
{
"type": "Hashtag",
"href": "https://floss.social/tags/learning",
"name": "#learning"
},
{
"type": "Hashtag",
"href": "https://floss.social/tags/labplot",
"name": "#labplot"
},
{
"type": "Hashtag",
"href": "https://floss.social/tags/wheeler",
"name": "#wheeler"
},
{
"type": "Hashtag",
"href": "https://floss.social/tags/anki",
"name": "#anki"
},
{
"type": "Hashtag",
"href": "https://floss.social/tags/OpenSource",
"name": "#OpenSource"
},
{
"type": "Hashtag",
"href": "https://floss.social/tags/fsrs",
"name": "#fsrs"
}
],
"replies": {
"id": "https://floss.social/users/LabPlot/statuses/114103436682747817/replies",
"type": "Collection",
"first": {
"type": "CollectionPage",
"next": "https://floss.social/users/LabPlot/statuses/114103436682747817/replies?only_other_accounts=true&page=true",
"partOf": "https://floss.social/users/LabPlot/statuses/114103436682747817/replies",
"items": []
}
},
"likes": {
"id": "https://floss.social/users/LabPlot/statuses/114103436682747817/likes",
"type": "Collection",
"totalItems": 1
},
"shares": {
"id": "https://floss.social/users/LabPlot/statuses/114103436682747817/shares",
"type": "Collection",
"totalItems": 2
}
}