Chat with Semantic Scholar and automate it — details about an author in Semantic Scholar, on demand or on a schedule. Connect with your own credentials, then use it across web, WhatsApp, Telegram, Instagram, Messenger and LINE.
Artificial Intelligence
Semantic Scholar is an AI-powered academic search engine that helps researchers discover and understand scientific literature.
From any chat
14 Semantic Scholar actions, run in plain language from the web or any messaging app — WhatsApp, Instagram, Telegram, Messenger or LINE. Just ask; Mira maps it to the right action and runs it on your account.
Examples: <ul> <li><code>https://api.semanticscholar.org/graph/v1/author/1741101</code></li> <ul> <li>returns the author's authorid and name.</li> </ul> <li><code>https://api.se...
Retrieves a list of papers authored by a specific researcher identified by their unique semantic scholar author id. this endpoint is particularly useful for conducting literatur...
Examples: <ul> <li><code>https://api.semanticscholar.org/graph/v1/paper/649def34f8be52c8b66281af98ae884c09aef38b</code></li> <ul> <li>returns a paper with its paperid and title....
Retrieves the list of authors for a specific paper identified by its unique paper id in the semantic scholar database. this endpoint is useful when you need detailed information...
Retrieves a list of citations for a specific academic paper using its unique semantic scholar paper id. this endpoint is useful for researchers and developers who want to explor...
Retrieves the list of references cited by a specific paper in the semantic scholar database. this endpoint allows users to explore the scholarly context of a publication by acce...
Retrieves detailed information for multiple authors from semantic scholar in a single api call. this endpoint allows users to efficiently fetch data for a batch of authors by pr...
The semanticscholar paper batch endpoint allows users to retrieve data for multiple academic papers in a single api call. this endpoint is particularly useful when you need to f...
Behaves similarly to <code>/paper/search</code>, but is intended for bulk retrieval of basic paper data without search relevance: <ul> <li>text query is optional and supports bo...
The searchpapers endpoint allows users to search for academic papers within the semantic scholar database. it provides a powerful way to discover relevant scientific literature...
Behaves similarly to <code>/paper/search</code>, but is intended for retrieval of a single paper based on closest title match to given query. examples: <ul> <li><code>https://ap...
The authorsearch endpoint allows users to search for authors within the semantic scholar database. it provides a way to find academic authors based on their names or other ident...
To support interactive query-completion, return minimal information about papers matching a partial query example: <code>https://api.semanticscholar.org/graph/v1/paper/autocompl...
Return the text snippets that most closely match the query. text snippets are excerpts of approximately 500 words, drawn from a paper's title, abstract, and body text, but exclu...
Chat or automate
Ask once, or set it and forget it. Turn Semantic Scholar actions into recurring vMira workflows — scheduled runs that run on their own and deliver straight to your chat on any platform.
Mira details about an author and sends the result to your chat.
Mira details about an author s papers and posts a digest to Slack or WhatsApp.
Mira chains several Semantic Scholar actions into one recurring workflow, delivered wherever you chat.
Try asking
“Details about an author in Semantic Scholar”
“Details about an author s papers in Semantic Scholar”
“Details about a paper in Semantic Scholar”
“Details about a paper s authors in Semantic Scholar”
“Details about a paper s citations in Semantic Scholar”
Connect in a few steps
01
On the web app or in WhatsApp, Telegram, Instagram or Messenger.
02
Tell Mira what you want done — e.g. “Details about an author in Semantic Scholar.”
03
Connect Semantic Scholar with your own API key or OAuth app — Mira stores it securely and acts on your behalf, revocable anytime.
FAQ
Yes. Connect Semantic Scholar to vMira and run it from any chat with your own credentials. Mira turns your plain-language request into the right Semantic Scholar action and runs it on your account.
14 Semantic Scholar actions — including Details about an author, Details about an author s papers, Details about a paper. Just ask in plain language once it is connected.
Yes. Beyond one-off asks, build recurring vMira workflows — scheduled runs that chain Semantic Scholar actions and deliver the result to your chat automatically.
The web at vmira.ai and inside WhatsApp, Instagram, Telegram, Messenger and LINE — one account, with your history and connected apps following you across every surface.
You can start free. Paid plans (from $4/mo) raise the limits and unlock heavier use, the top models, and more workflow runs. The same account works on the web and every messaging app.
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Every AI. Up to 200× the usage. From $4 a month.