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",
"litepub": "http://litepub.social/ns#",
"directMessage": "litepub:directMessage",
"Hashtag": "as:Hashtag"
}
],
"id": "https://neuromatch.social/users/manisha/statuses/113782215022857710",
"type": "Note",
"summary": null,
"inReplyTo": null,
"published": "2025-01-06T15:53:38Z",
"url": "https://neuromatch.social/@manisha/113782215022857710",
"attributedTo": "https://neuromatch.social/users/manisha",
"to": [
"https://www.w3.org/ns/activitystreams#Public"
],
"cc": [
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],
"sensitive": false,
"atomUri": "https://neuromatch.social/users/manisha/statuses/113782215022857710",
"inReplyToAtomUri": null,
"conversation": "tag:neuromatch.social,2025-01-06:objectId=21843877:objectType=Conversation",
"content": "<p>Does anyone know of an <a href=\"https://neuromatch.social/tags/OpenAccess\" class=\"mention hashtag\" rel=\"tag\">#<span>OpenAccess</span></a> full-text <a href=\"https://neuromatch.social/tags/PDF\" class=\"mention hashtag\" rel=\"tag\">#<span>PDF</span></a> <a href=\"https://neuromatch.social/tags/search\" class=\"mention hashtag\" rel=\"tag\">#<span>search</span></a> engine/tool using which I can search for relevant PDFs from a self-hosted <a href=\"https://neuromatch.social/tags/database\" class=\"mention hashtag\" rel=\"tag\">#<span>database</span></a>? </p><p>Context: we have a curated database of <a href=\"https://neuromatch.social/tags/research\" class=\"mention hashtag\" rel=\"tag\">#<span>research</span></a> articles but so far our search capability has been limited to tagged keywords or title and abstract field search only. We'd like to be able to search the entire PDF. </p><p>Side note: I know that PDFs are not a great way to store scientific information. I'd prefer not to use a proprietary <a href=\"https://neuromatch.social/tags/LLM\" class=\"mention hashtag\" rel=\"tag\">#<span>LLM</span></a> if possible</p><p><a href=\"https://neuromatch.social/tags/LexicalSearch\" class=\"mention hashtag\" rel=\"tag\">#<span>LexicalSearch</span></a> <a href=\"https://neuromatch.social/tags/SemanticSearch\" class=\"mention hashtag\" rel=\"tag\">#<span>SemanticSearch</span></a> <a href=\"https://neuromatch.social/tags/AskAcademia\" class=\"mention hashtag\" rel=\"tag\">#<span>AskAcademia</span></a> <a href=\"https://neuromatch.social/tags/academia\" class=\"mention hashtag\" rel=\"tag\">#<span>academia</span></a> <a href=\"https://neuromatch.social/tags/science\" class=\"mention hashtag\" rel=\"tag\">#<span>science</span></a> <a href=\"https://neuromatch.social/tags/sciences\" class=\"mention hashtag\" rel=\"tag\">#<span>sciences</span></a> <a href=\"https://neuromatch.social/tags/ScienceMastodon\" class=\"mention hashtag\" rel=\"tag\">#<span>ScienceMastodon</span></a> <a href=\"https://neuromatch.social/tags/AskFedi\" class=\"mention hashtag\" rel=\"tag\">#<span>AskFedi</span></a> <a href=\"https://neuromatch.social/tags/OpenScience\" class=\"mention hashtag\" rel=\"tag\">#<span>OpenScience</span></a></p>",
"contentMap": {
"en": "<p>Does anyone know of an <a href=\"https://neuromatch.social/tags/OpenAccess\" class=\"mention hashtag\" rel=\"tag\">#<span>OpenAccess</span></a> full-text <a href=\"https://neuromatch.social/tags/PDF\" class=\"mention hashtag\" rel=\"tag\">#<span>PDF</span></a> <a href=\"https://neuromatch.social/tags/search\" class=\"mention hashtag\" rel=\"tag\">#<span>search</span></a> engine/tool using which I can search for relevant PDFs from a self-hosted <a href=\"https://neuromatch.social/tags/database\" class=\"mention hashtag\" rel=\"tag\">#<span>database</span></a>? </p><p>Context: we have a curated database of <a href=\"https://neuromatch.social/tags/research\" class=\"mention hashtag\" rel=\"tag\">#<span>research</span></a> articles but so far our search capability has been limited to tagged keywords or title and abstract field search only. We'd like to be able to search the entire PDF. </p><p>Side note: I know that PDFs are not a great way to store scientific information. I'd prefer not to use a proprietary <a href=\"https://neuromatch.social/tags/LLM\" class=\"mention hashtag\" rel=\"tag\">#<span>LLM</span></a> if possible</p><p><a href=\"https://neuromatch.social/tags/LexicalSearch\" class=\"mention hashtag\" rel=\"tag\">#<span>LexicalSearch</span></a> <a href=\"https://neuromatch.social/tags/SemanticSearch\" class=\"mention hashtag\" rel=\"tag\">#<span>SemanticSearch</span></a> <a href=\"https://neuromatch.social/tags/AskAcademia\" class=\"mention hashtag\" rel=\"tag\">#<span>AskAcademia</span></a> <a href=\"https://neuromatch.social/tags/academia\" class=\"mention hashtag\" rel=\"tag\">#<span>academia</span></a> <a href=\"https://neuromatch.social/tags/science\" class=\"mention hashtag\" rel=\"tag\">#<span>science</span></a> <a href=\"https://neuromatch.social/tags/sciences\" class=\"mention hashtag\" rel=\"tag\">#<span>sciences</span></a> <a href=\"https://neuromatch.social/tags/ScienceMastodon\" class=\"mention hashtag\" rel=\"tag\">#<span>ScienceMastodon</span></a> <a href=\"https://neuromatch.social/tags/AskFedi\" class=\"mention hashtag\" rel=\"tag\">#<span>AskFedi</span></a> <a href=\"https://neuromatch.social/tags/OpenScience\" class=\"mention hashtag\" rel=\"tag\">#<span>OpenScience</span></a></p>"
},
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"type": "Hashtag",
"href": "https://neuromatch.social/tags/openaccess",
"name": "#openaccess"
},
{
"type": "Hashtag",
"href": "https://neuromatch.social/tags/pdf",
"name": "#pdf"
},
{
"type": "Hashtag",
"href": "https://neuromatch.social/tags/search",
"name": "#search"
},
{
"type": "Hashtag",
"href": "https://neuromatch.social/tags/database",
"name": "#database"
},
{
"type": "Hashtag",
"href": "https://neuromatch.social/tags/research",
"name": "#research"
},
{
"type": "Hashtag",
"href": "https://neuromatch.social/tags/llm",
"name": "#llm"
},
{
"type": "Hashtag",
"href": "https://neuromatch.social/tags/lexicalsearch",
"name": "#lexicalsearch"
},
{
"type": "Hashtag",
"href": "https://neuromatch.social/tags/semanticsearch",
"name": "#semanticsearch"
},
{
"type": "Hashtag",
"href": "https://neuromatch.social/tags/askacademia",
"name": "#askacademia"
},
{
"type": "Hashtag",
"href": "https://neuromatch.social/tags/academia",
"name": "#academia"
},
{
"type": "Hashtag",
"href": "https://neuromatch.social/tags/science",
"name": "#science"
},
{
"type": "Hashtag",
"href": "https://neuromatch.social/tags/sciences",
"name": "#sciences"
},
{
"type": "Hashtag",
"href": "https://neuromatch.social/tags/sciencemastodon",
"name": "#sciencemastodon"
},
{
"type": "Hashtag",
"href": "https://neuromatch.social/tags/askfedi",
"name": "#askfedi"
},
{
"type": "Hashtag",
"href": "https://neuromatch.social/tags/openscience",
"name": "#openscience"
}
],
"replies": {
"id": "https://neuromatch.social/users/manisha/statuses/113782215022857710/replies",
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"partOf": "https://neuromatch.social/users/manisha/statuses/113782215022857710/replies",
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},
"likes": {
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},
"shares": {
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}
}