Artificial Intelligence

Semantic Scholar, worked by an AI employee

Not another app for your team to learn, and not a set of rules for you to build. You hire an AI employee, you give it access to your Semantic Scholar account, and you ask it for things in Slack or Teams the way you would ask anyone else on the team. There is nothing to map and nothing to maintain.

  • Artificial Intelligence
  • Connects with a key
  • 14 ready-made tools
  • Asked in Slack or Teams
At work

An illustration of how the conversation reads, not a transcript from a client account.

What Semantic Scholar is

Semantic Scholar is an AI-powered academic search engine that helps researchers discover and understand scientific literature

You paste in a key from your own Semantic Scholar account. It is kept encrypted, and you can withdraw it from inside Semantic Scholar whenever you like.

How a run works

One message in, the work done in Semantic Scholar.

  1. 01

    You ask

    You message your AI employee in the chat your team already has open, in one sentence, in your own words.

  2. 02

    It works out the step

    It decides what the job needs in Semantic Scholar. You do not pick anything from a menu or wire anything together.

  3. 03

    It does the work

    Signed in to your own Semantic Scholar account, inside the access you granted it, doing the thing you asked for.

  4. 04

    It reports back

    It tells you what it did, in the same thread. If it could not do something, it says so rather than guessing.

14 tools it already has

What it can do in Semantic Scholar

These are the ready-made tools your AI employee already has in Semantic Scholar. It is not limited to them, but it never has to be taught these.

  • Details about a paperExamples: <ul <li<codehttps://api.semanticscholar.org/graph/v1/paper/649def34f8be52c8b66281af98ae884c09aef38b</code</li <ul <lireturns a paper with its paperid and title. </li </ul
  • Details about a paper s authorsRetrieves 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 ab
  • Details about a paper s citationsRetrieves 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 explore t
  • Details about a paper s referencesRetrieves 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 accessi
  • Details about an authorExamples: <ul <li<codehttps://api.semanticscholar.org/graph/v1/author/1741101</code</li <ul <lireturns the author's authorid and name.</li </ul <li<codehttps://api.semanticscholar.
  • Details about an author s papersRetrieves a list of papers authored by a specific researcher identified by their unique semantic scholar author id. this endpoint is particularly useful for conducting literature r
  • Get details for multiple authors at onceRetrieves 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 provi
  • Get details for multiple papers at onceThe 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 fetc
  • Paper bulk searchBehaves similarly to <code/paper/search</code, but is intended for bulk retrieval of basic paper data without search relevance: <ul <litext query is optional and supports boolean l
  • Paper relevance searchThe searchpapers endpoint allows users to search for academic papers within the semantic scholar database. it provides a powerful way to discover relevant scientific literature bas
  • Paper title searchBehaves 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<codehttps://api.semant
  • Search for authors by nameThe 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 identify
  • Suggest paper query completionsTo support interactive query-completion, return minimal information about papers matching a partial query example: <codehttps://api.semanticscholar.org/graph/v1/paper/autocomplete?
  • Text snippet searchReturn 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 excludin
Access, and who is in charge of it

You stay the boss of your Semantic Scholar account.

Nothing connects until you approve it. You grant access one app at a time, you can take it back the same way, and everything your AI employee does in there is written down where you can see it.

How we handle your data
  • It signs in to your own Semantic Scholar account. You are not moving anything into ours.
  • You grant access one app at a time, and you can take it back the same way.
  • Everything it does in Semantic Scholar is written down, with what it did and when.
  • Anything you tell it to check with you first, it checks with you first.
Other apps in the same corner of the business

It works in Semantic Scholar and the rest of your software in the same job

A real job rarely stays in one place. Reading a message in one app, checking a record in another and writing the result in a third is one request to your AI employee, not three.

Questions people ask about Semantic Scholar

Can an AI employee really work inside Semantic Scholar?
Yes. It signs in to your own Semantic Scholar account and works in it the way a new hire would, from the chat your team already has open. Nobody installs anything, and nobody learns a new screen.
Do I have to move anything out of Semantic Scholar?
No. Nothing moves and nothing is replaced. Your records stay in Semantic Scholar, your team carries on in the same screens they used yesterday, and your AI employee works alongside them in there.
How does it get into my Semantic Scholar account?
You paste in a key from your own Semantic Scholar account. It is kept encrypted, and you can withdraw it from inside Semantic Scholar whenever you like. You approve it before anything connects, and you can take the access back the same way you gave it.
What can it actually do in Semantic Scholar?
It has 14 ready-made tools in Semantic Scholar today, among them Details about a paper, Details about a paper s authors and Details about a paper s citations. The full list is on this page. It is not limited to those, but it never has to be taught them.
Can it use Semantic Scholar and the rest of my software in the same job?
Yes, and that is usually the point. Reading a message in one app, checking a record in Semantic Scholar and writing the result somewhere else is one request to your AI employee, not three separate ones you stitch together.
Who decides what it is allowed to do in Semantic Scholar?
You do. You grant access one app at a time and can withdraw it at any time, anything you ask it to check with you first it checks with you first, and everything it does in Semantic Scholar is written down with what it did and when.