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://mstdn.social/users/ramikrispin/statuses/110872532705575346",
"type": "Note",
"summary": null,
"inReplyTo": null,
"published": "2023-08-11T19:03:09Z",
"url": "https://mstdn.social/@ramikrispin/110872532705575346",
"attributedTo": "https://mstdn.social/users/ramikrispin",
"to": [
"https://www.w3.org/ns/activitystreams#Public"
],
"cc": [
"https://mstdn.social/users/ramikrispin/followers"
],
"sensitive": false,
"atomUri": "https://mstdn.social/users/ramikrispin/statuses/110872532705575346",
"inReplyToAtomUri": null,
"conversation": "tag:mstdn.social,2023-08-11:objectId=247690078:objectType=Conversation",
"content": "<p>(1/3) Retiring open-source project 🧵 ⬇️ </p><p>The TSstudio package is one of the first <a href=\"https://mstdn.social/tags/opensource\" class=\"mention hashtag\" rel=\"tag\">#<span>opensource</span></a> projects I did. On my way to holiday break on December 2017, I was bored during a 12 hours flight and decided to package a few common <a href=\"https://mstdn.social/tags/dataviz\" class=\"mention hashtag\" rel=\"tag\">#<span>dataviz</span></a> functions I love to use for time series data. A few days after, the first version was on CRAN. In the following year, I spent many hours enjoying developing additional functionalities and tools for <a href=\"https://mstdn.social/tags/timeseries\" class=\"mention hashtag\" rel=\"tag\">#<span>timeseries</span></a> analysis and <a href=\"https://mstdn.social/tags/forecasting\" class=\"mention hashtag\" rel=\"tag\">#<span>forecasting</span></a> </p><p><a href=\"https://mstdn.social/tags/rstats\" class=\"mention hashtag\" rel=\"tag\">#<span>rstats</span></a> <a href=\"https://mstdn.social/tags/DataScience\" class=\"mention hashtag\" rel=\"tag\">#<span>DataScience</span></a></p>",
"contentMap": {
"en": "<p>(1/3) Retiring open-source project 🧵 ⬇️ </p><p>The TSstudio package is one of the first <a href=\"https://mstdn.social/tags/opensource\" class=\"mention hashtag\" rel=\"tag\">#<span>opensource</span></a> projects I did. On my way to holiday break on December 2017, I was bored during a 12 hours flight and decided to package a few common <a href=\"https://mstdn.social/tags/dataviz\" class=\"mention hashtag\" rel=\"tag\">#<span>dataviz</span></a> functions I love to use for time series data. A few days after, the first version was on CRAN. In the following year, I spent many hours enjoying developing additional functionalities and tools for <a href=\"https://mstdn.social/tags/timeseries\" class=\"mention hashtag\" rel=\"tag\">#<span>timeseries</span></a> analysis and <a href=\"https://mstdn.social/tags/forecasting\" class=\"mention hashtag\" rel=\"tag\">#<span>forecasting</span></a> </p><p><a href=\"https://mstdn.social/tags/rstats\" class=\"mention hashtag\" rel=\"tag\">#<span>rstats</span></a> <a href=\"https://mstdn.social/tags/DataScience\" class=\"mention hashtag\" rel=\"tag\">#<span>DataScience</span></a></p>"
},
"attachment": [
{
"type": "Document",
"mediaType": "image/png",
"url": "https://media.mstdn.social/media_attachments/files/110/872/526/586/786/987/original/ddf73e9d331196f2.png",
"name": null,
"blurhash": "ULNBP|?a^iD+^*s.WBW;02NcxtaebcWUjuaz",
"width": 1636,
"height": 952
},
{
"type": "Document",
"mediaType": "image/png",
"url": "https://media.mstdn.social/media_attachments/files/110/872/526/594/541/790/original/a2a351e80d521576.png",
"name": null,
"blurhash": "U3Ss889Z_3xaIA%MtQoL?H-pNFj[_3ofRjbH",
"width": 1636,
"height": 952
},
{
"type": "Document",
"mediaType": "image/png",
"url": "https://media.mstdn.social/media_attachments/files/110/872/526/639/387/206/original/3a06dbb480d3c4e8.png",
"name": null,
"blurhash": "U6SPX]s,bexYAnt6aJShyCNZR.j=~CITD$of",
"width": 1636,
"height": 952
}
],
"tag": [
{
"type": "Hashtag",
"href": "https://mstdn.social/tags/OpenSource",
"name": "#OpenSource"
},
{
"type": "Hashtag",
"href": "https://mstdn.social/tags/dataviz",
"name": "#dataviz"
},
{
"type": "Hashtag",
"href": "https://mstdn.social/tags/timeseries",
"name": "#timeseries"
},
{
"type": "Hashtag",
"href": "https://mstdn.social/tags/forecasting",
"name": "#forecasting"
},
{
"type": "Hashtag",
"href": "https://mstdn.social/tags/RStats",
"name": "#RStats"
},
{
"type": "Hashtag",
"href": "https://mstdn.social/tags/DataScience",
"name": "#DataScience"
}
],
"replies": {
"id": "https://mstdn.social/users/ramikrispin/statuses/110872532705575346/replies",
"type": "Collection",
"first": {
"type": "CollectionPage",
"next": "https://mstdn.social/users/ramikrispin/statuses/110872532705575346/replies?min_id=110872535544098433&page=true",
"partOf": "https://mstdn.social/users/ramikrispin/statuses/110872532705575346/replies",
"items": [
"https://mstdn.social/users/ramikrispin/statuses/110872535544098433"
]
}
},
"likes": {
"id": "https://mstdn.social/users/ramikrispin/statuses/110872532705575346/likes",
"type": "Collection",
"totalItems": 5
},
"shares": {
"id": "https://mstdn.social/users/ramikrispin/statuses/110872532705575346/shares",
"type": "Collection",
"totalItems": 2
}
}