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://fosstodon.org/users/sxa/statuses/112666625761403199",
"type": "Note",
"summary": null,
"inReplyTo": "https://fosstodon.org/users/sxa/statuses/111108266580236146",
"published": "2024-06-23T15:24:36Z",
"url": "https://fosstodon.org/@sxa/112666625761403199",
"attributedTo": "https://fosstodon.org/users/sxa",
"to": [
"https://www.w3.org/ns/activitystreams#Public"
],
"cc": [
"https://fosstodon.org/users/sxa/followers"
],
"sensitive": false,
"atomUri": "https://fosstodon.org/users/sxa/statuses/112666625761403199",
"inReplyToAtomUri": "https://fosstodon.org/users/sxa/statuses/111108266580236146",
"conversation": "tag:fosstodon.org,2023-04-07:objectId=101396736:objectType=Conversation",
"content": "<p>New <a href=\"https://fosstodon.org/tags/BananaPi\" class=\"mention hashtag\" rel=\"tag\">#<span>BananaPi</span></a>-F3 <a href=\"https://fosstodon.org/tags/RISCV\" class=\"mention hashtag\" rel=\"tag\">#<span>RISCV</span></a> board is in my hands; (second attempt after the first got stuck in customs) 😁<br />Using an 8 core SpacemiT K1 with X60 cores apparently clocked at 1.6GHz - slightly less than the LucheePi/LM4A's 1.86GHz - but has RVA22 / RV64GCVB 😀 Needs a 12V supply although that can be over USB-C. Only 4Gb RAM though.<br />Initial tests with gcc suggest 5-10% slower using 4 cores than the LM4A so they might each be a bit slower, but I'll see how much quicker when using all 8. Tested on SD card</p>",
"contentMap": {
"en": "<p>New <a href=\"https://fosstodon.org/tags/BananaPi\" class=\"mention hashtag\" rel=\"tag\">#<span>BananaPi</span></a>-F3 <a href=\"https://fosstodon.org/tags/RISCV\" class=\"mention hashtag\" rel=\"tag\">#<span>RISCV</span></a> board is in my hands; (second attempt after the first got stuck in customs) 😁<br />Using an 8 core SpacemiT K1 with X60 cores apparently clocked at 1.6GHz - slightly less than the LucheePi/LM4A's 1.86GHz - but has RVA22 / RV64GCVB 😀 Needs a 12V supply although that can be over USB-C. Only 4Gb RAM though.<br />Initial tests with gcc suggest 5-10% slower using 4 cores than the LM4A so they might each be a bit slower, but I'll see how much quicker when using all 8. Tested on SD card</p>"
},
"attachment": [
{
"type": "Document",
"mediaType": "image/jpeg",
"url": "https://cdn.fosstodon.org/media_attachments/files/112/666/597/508/528/930/original/1ad82a58d501f708.jpg",
"name": null,
"blurhash": "UIG*,j~p$:%1M[jBxVxa-as*RwoYxaxtoGRN",
"width": 3838,
"height": 2161
}
],
"tag": [
{
"type": "Hashtag",
"href": "https://fosstodon.org/tags/bananapi",
"name": "#bananapi"
},
{
"type": "Hashtag",
"href": "https://fosstodon.org/tags/riscv",
"name": "#riscv"
}
],
"replies": {
"id": "https://fosstodon.org/users/sxa/statuses/112666625761403199/replies",
"type": "Collection",
"first": {
"type": "CollectionPage",
"next": "https://fosstodon.org/users/sxa/statuses/112666625761403199/replies?min_id=112672987358969704&page=true",
"partOf": "https://fosstodon.org/users/sxa/statuses/112666625761403199/replies",
"items": [
"https://fosstodon.org/users/sxa/statuses/112672987358969704"
]
}
},
"likes": {
"id": "https://fosstodon.org/users/sxa/statuses/112666625761403199/likes",
"type": "Collection",
"totalItems": 3
},
"shares": {
"id": "https://fosstodon.org/users/sxa/statuses/112666625761403199/shares",
"type": "Collection",
"totalItems": 0
}
}