Connect Semantic Scholar to your AI agent
Semantic Scholar is an AI-powered academic search engine that helps researchers discover and understand scientific literature
We set up the connection using your own Semantic Scholar account, with keys you control, and keep it running. Your agent picks it up and starts doing the work.
Actions
What your agent can do in Semantic Scholar
Each one is a real action the agent can take on its own, the same things a person clicking around Semantic Scholar could do. Read-only by default; write actions are confirmed against your policy.
- Details about an author Retrieve detailed information about an author from Semantic Scholar, including name, affiliations, publication statistics (paperCount, citationCount, h-index), external IDs (ORCID, DBLP), and optionally papers. By defau…
- Details about an author s papers Retrieves a list of papers authored or co-authored by a specific researcher identified by their unique Semantic Scholar author ID. This endpoint is particularly useful for conducting literature reviews, analyzing an aut…
- Details about a paper Examples: <ul> <li><code>https://api.semanticscholar.org/graph/v1/paper/649def34f8be52c8b66281af98ae884c09aef38b</code></li> <ul> <li>Returns a paper with its paperId and title. </li> </ul> <li><code>https://api.semanti…
- Details about a paper s authors Retrieves the list of authors for a specific paper identified by its unique paper_id in the Semantic Scholar database. This endpoint returns detailed author information including authorId and name (returned by default),…
- Details about a paper s citations 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 explore the impact and connections of a particul…
- Details about a paper s references 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 accessing its bibliography. It's particularly…
- Get dataset download links Tool to get download links for a specific dataset within a release. Use when you need to download Semantic Scholar dataset files from S3. Returns pre-signed URLs for all dataset partitions.
- Get dataset diffs Get download links for incremental diffs between dataset releases. Returns a list of diffs required to update a dataset from start_release to end_release, enabling efficient dataset synchronization. Use when you need to…
- Get details for multiple authors at once 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 providing their unique Semantic Scholar IDs.…
- Get details for multiple papers at once Retrieve detailed information for multiple academic papers in a single API call using the Semantic Scholar paper batch endpoint. This endpoint efficiently fetches data for up to 500 papers at once, significantly reducin…
- Get paper recommendations Tool to get paper recommendations based on positive and negative example papers. Use when you need to find papers similar to ones you like (positive examples) and optionally dissimilar to ones you don't like (negative e…
- Get recommendations for paper Tool to get recommended papers for a single positive example paper. Use when you need to find papers similar to a given paper based on Semantic Scholar's recommendation algorithm.
- Get dataset release information Tool to retrieve metadata for a specific Semantic Scholar dataset release. Returns release information including available datasets with their descriptions. Use when you need to discover what datasets are available in a…
- List available dataset releases Tool to list all available dataset releases from Semantic Scholar. Use when you need to discover available release dates for downloading datasets.
- Paper relevance search (Deprecated) DEPRECATED: Use SEMANTICSCHOLAR_SEARCH_PAPERS instead. The SearchPapers endpoint allows users to search for academic papers within the Semantic Scholar database. It provides a powerful way to discover relevant scientifi…
- Paper title search 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://api.semanticscholar.org/graph/v1/paper/searc…
- Search Bulk Papers Tool to perform bulk search for academic papers. Intended for bulk retrieval of basic paper data without search relevance scoring. Use when you need to retrieve large sets of papers with optional text filtering and vari…
- Search for authors by name Search for academic authors in the Semantic Scholar database by name. This action searches for authors using plain-text name queries. The search is case-insensitive and supports partial name matches (e.g., "Smith" will…
- Search papers by relevance Tool to search for academic papers by relevance in the Semantic Scholar database. Use when searching for papers on specific topics, keywords, or research areas. Returns papers ordered by relevance score with support for…
- Suggest paper query completions Get autocomplete suggestions for paper queries. Returns a list of papers matching the partial query string, useful for interactive search experiences. Each suggestion includes the paper ID, title, and authors with publi…
- Text snippet search Search for text snippets (~500 words) within academic papers that match your natural language query. Returns relevant excerpts from papers' titles, abstracts, and body text, ranked by relevance score. Each result includ…
Setup
How we connect it
- 1
Connect your account
You create a key in Semantic Scholar, a key you create and control, and paste it in once. It lives in a secrets store on your server, not with us.
- 2
Set the guardrails
Read-only by default. You choose which write actions the agent may take, and anything outside that policy gets confirmed with you first.
- 3
We keep it running
Health checks on every connection, updates handled for you, and we watch the first week of activity to make sure the work lands.
FAQ
Semantic Scholar questions, answered.
With a key you create and control. You paste it in once, it is stored in a secrets store on your server, permissions are scoped to the minimum the agent needs, and you can revoke it at any time.
The actions Semantic Scholar's API allows, the same things a person clicking around the app could do. Connections start read-only by default; write actions are confirmed against the policy you set before the agent takes them.
Connections are priced per tool on top of the base plan. Some are included, some are premium. See pricing for how connection charges work.
Standard tools are ready inside 7 business days of the setup call. We test the connection end to end, walk you through how the agent uses it, and watch the first week of activity.
Ready to put Semantic Scholar to work?
Tell us what your team runs on. We set up the connection, secure it, and your agent takes it from there.
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