Connect Semanticscholar to OpenClaw on Operator.io
Semantic Scholar is an AI-powered academic search engine for scientific literature. It helps researchers quickly discover, analyze, and understand research papers across disciplines.
Automate Semanticscholar with AI
Operator runs your personal agent on OpenClaw, the open source agent framework, and points it straight at Semanticscholar. You message the agent on Telegram or Discord, tell it what you need in plain language, and it operates Semanticscholar on its own, running actions like details about an author, details about an author s papers, details about a paper.
Your agent reaches Semanticscholar directly or through connectors like Composio MCP and Pipedream MCP, which handle the sign in and token refresh for you, so there is nothing to wire up and no API keys to paste.
What your agent can do with Semanticscholar
Your agent can call any of these Semanticscholar actions by name as part of a larger task. Ask for the outcome you want and it picks the right ones.
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 default returns authorI...
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 author's body of work...
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.semanticscholar.org/graph...
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), and optionally: u...
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 particular academic work w...
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 useful for underst...
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 update a local da...
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. It's particularly...
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 reducing the number of in...
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 examples). The reco...
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 release or get re...
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 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/search/match?query=Cons...
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 various criteria. Supp...
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 match "John Smith"...
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 extensive filteri...
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 publication year. Examp...
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 includes: snippet text,...
How to connect Semanticscholar
You authorize Semanticscholar once from your dashboard. Operator holds the connection and refreshes the access tokens on its own, so your agent keeps working with Semanticscholar without you signing in again. The same setup unlocks every other app your agent can reach, so you only do it once.
When you are ready, the get started guide walks through standing up your OpenClaw agent.
Common questions about Semanticscholar
- How do I connect Semanticscholar to Operator?
- Connecting Semanticscholar is a one time sign in from your Operator dashboard. Operator keeps the connection live and rotates the token on its own, so the agent stays connected to Semanticscholar and you never reauthorize by hand.
- Can my agent run Semanticscholar as part of a larger task?
- Yes. It can call Semanticscholar mid task, hand it the input, and use what comes back in the next step. So a job that involves generating, classifying, or analyzing something can route through Semanticscholar without you stitching the calls together yourself.
- Do I need to write code or manage Semanticscholar API keys?
- No. Operator manages the Semanticscholar connection and token refresh, so there are no API keys to paste and nothing to deploy.
- Can my agent use Semanticscholar together with my other apps?
- Yes. The same agent reaches every app you connect, so it can move between Semanticscholar and tools like Datarobot, Chatbotkit, Griptape in one job, reading from one and acting in another without you wiring anything between them.
More apps to automate
Apps your agent runs alongside Semanticscholar, or browse all integrations.
Put your agent on Semanticscholar
Sign in, connect Semanticscholar, and hand your agent the work. Your first week is free.
Try for free