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",
"Hashtag": "as:Hashtag"
}
],
"id": "https://fosstodon.org/users/kitten_tech/statuses/114026188221637913",
"type": "Note",
"summary": null,
"inReplyTo": null,
"published": "2025-02-18T17:59:13Z",
"url": "https://fosstodon.org/@kitten_tech/114026188221637913",
"attributedTo": "https://fosstodon.org/users/kitten_tech",
"to": [
"https://www.w3.org/ns/activitystreams#Public"
],
"cc": [
"https://fosstodon.org/users/kitten_tech/followers"
],
"sensitive": false,
"atomUri": "https://fosstodon.org/users/kitten_tech/statuses/114026188221637913",
"inReplyToAtomUri": null,
"conversation": "tag:fosstodon.org,2025-02-18:objectId=289625717:objectType=Conversation",
"content": "<p>Ok, a question for <a href=\"https://fosstodon.org/tags/database\" class=\"mention hashtag\" rel=\"tag\">#<span>database</span></a> <a href=\"https://fosstodon.org/tags/dbms\" class=\"mention hashtag\" rel=\"tag\">#<span>dbms</span></a> nerds. Many years ago I worked on a join order optimizer that used a heuristic formula to estimate the number of rows produced by an equijoin, based on the number of rows in the two tables being joined and the number of distinct values in the join keys. This formula came from an academic paper, but I can't remember what the formula was or find the paper. Does this ring a bell for anyone? Boosts appreciated...</p>",
"contentMap": {
"en": "<p>Ok, a question for <a href=\"https://fosstodon.org/tags/database\" class=\"mention hashtag\" rel=\"tag\">#<span>database</span></a> <a href=\"https://fosstodon.org/tags/dbms\" class=\"mention hashtag\" rel=\"tag\">#<span>dbms</span></a> nerds. Many years ago I worked on a join order optimizer that used a heuristic formula to estimate the number of rows produced by an equijoin, based on the number of rows in the two tables being joined and the number of distinct values in the join keys. This formula came from an academic paper, but I can't remember what the formula was or find the paper. Does this ring a bell for anyone? Boosts appreciated...</p>"
},
"attachment": [],
"tag": [
{
"type": "Hashtag",
"href": "https://fosstodon.org/tags/database",
"name": "#database"
},
{
"type": "Hashtag",
"href": "https://fosstodon.org/tags/dbms",
"name": "#dbms"
}
],
"replies": {
"id": "https://fosstodon.org/users/kitten_tech/statuses/114026188221637913/replies",
"type": "Collection",
"first": {
"type": "CollectionPage",
"next": "https://fosstodon.org/users/kitten_tech/statuses/114026188221637913/replies?min_id=114026201697704960&page=true",
"partOf": "https://fosstodon.org/users/kitten_tech/statuses/114026188221637913/replies",
"items": [
"https://fosstodon.org/users/kitten_tech/statuses/114026201697704960"
]
}
},
"likes": {
"id": "https://fosstodon.org/users/kitten_tech/statuses/114026188221637913/likes",
"type": "Collection",
"totalItems": 5
},
"shares": {
"id": "https://fosstodon.org/users/kitten_tech/statuses/114026188221637913/shares",
"type": "Collection",
"totalItems": 18
}
}