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"
}
}
],
"id": "https://dair-community.social/users/emilymbender/statuses/114643155453862152",
"type": "Note",
"summary": null,
"inReplyTo": "https://dair-community.social/users/emilymbender/statuses/114643152989138652",
"published": "2025-06-07T17:02:06Z",
"url": "https://dair-community.social/@emilymbender/114643155453862152",
"attributedTo": "https://dair-community.social/users/emilymbender",
"to": [
"https://www.w3.org/ns/activitystreams#Public"
],
"cc": [
"https://dair-community.social/users/emilymbender/followers"
],
"sensitive": false,
"atomUri": "https://dair-community.social/users/emilymbender/statuses/114643155453862152",
"inReplyToAtomUri": "https://dair-community.social/users/emilymbender/statuses/114643152989138652",
"conversation": "tag:dair-community.social,2025-06-07:objectId=20857886:objectType=Conversation",
"content": "<p>So the NYT then quotes, wtih an apparent straight face, the various excuses the model providers have for their systems getting it wrong:</p>",
"contentMap": {
"en": "<p>So the NYT then quotes, wtih an apparent straight face, the various excuses the model providers have for their systems getting it wrong:</p>"
},
"attachment": [
{
"type": "Document",
"mediaType": "image/png",
"url": "https://cdn.masto.host/daircommunitysocial/media_attachments/files/114/643/154/566/951/555/original/5393da3d7474f6ac.png",
"name": "Screencap from linked article, reading \"OpenAI said the 250,000-word casebook used for the study was more than twice the length of text that its GPT-4o model can process at once. Anthropic said the study had limited usefulness because it did not compare the A.I. with human performance. Google said its model accuracy had improved since the study was conducted.\"\n",
"blurhash": "UBQ,L1M{xuRjRjof%Mj[~qRjM{j[%Mj[ofj[",
"focalPoint": [
0,
0
],
"width": 1338,
"height": 422
}
],
"tag": [],
"replies": {
"id": "https://dair-community.social/users/emilymbender/statuses/114643155453862152/replies",
"type": "Collection",
"first": {
"type": "CollectionPage",
"next": "https://dair-community.social/users/emilymbender/statuses/114643155453862152/replies?min_id=114643157457419177&page=true",
"partOf": "https://dair-community.social/users/emilymbender/statuses/114643155453862152/replies",
"items": [
"https://dair-community.social/users/emilymbender/statuses/114643157457419177"
]
}
},
"likes": {
"id": "https://dair-community.social/users/emilymbender/statuses/114643155453862152/likes",
"type": "Collection",
"totalItems": 54
},
"shares": {
"id": "https://dair-community.social/users/emilymbender/statuses/114643155453862152/shares",
"type": "Collection",
"totalItems": 20
}
}