API_KEY
API_KEY
Developer setup
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User connection
- API Keygeneric_api_key · stringRequired
SEMANTICSCHOLAR
Semantic Scholar is an AI-powered academic search engine that helps researchers discover and understand scientific literature
Description is untrusted, display-only upstream metadata. It never becomes policy, OAuth scope authority, or an agent instruction.
Pakkawork boundary
Research catalogue metadata only. No Pakkawork OAuth, credential, host, quota, executor, or verifier is enabled.
21
Action summaries
Display-only definitions
0
Trigger types
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1
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Field names, never values
No
Execution
No runtime adapter
Authentication map
API_KEY
No fields declared in this snapshot.
Capability index
Showing 1–21 of 21 actions
SEMANTICSCHOLAR_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 authorId and name only. Use 'fields' parameter for additional data: name, url, affiliatio…
Untrusted display-only summary
SEMANTICSCHOLAR_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, or tracking a researcher's publications over time. It provides a comprehensive v…
Untrusted display-only summary
SEMANTICSCHOLAR_DETAILS_ABOUT_A_PAPER
Examples: https://api.semanticscholar.org/graph/v1/paper/649def34f8be52c8b66281af98ae884c09aef38b Returns a paper with its paperId and title. https://api.semanticscholar.org/graph/v1/paper/649def34f8be52c8b66281af98ae884c09aef38b?fields=url,year,authors Returns the paper's paperId, url, year, and list of authors. Each…
Untrusted display-only summary
SEMANTICSCHOLAR_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: url, affiliations, homepage, paperCount, citationCount, hIndex, and papers (with su…
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SEMANTICSCHOLAR_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 within the broader scientific literature. It provides information about other paper…
Untrusted display-only summary
SEMANTICSCHOLAR_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 understanding the foundation of a paper's research, tracing the development of ideas, or…
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SEMANTICSCHOLAR_GET_DATASET
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.
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SEMANTICSCHOLAR_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 dataset copy without re-downloading the entire dataset.
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SEMANTICSCHOLAR_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 useful for applications that need to gather information on multiple authors simul…
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SEMANTICSCHOLAR_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 individual API requests needed. Key features: - Accepts multiple paper ID formats (S…
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SEMANTICSCHOLAR_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 recommendation engine analyzes the provided examples and returns relevant papers from…
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SEMANTICSCHOLAR_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.
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SEMANTICSCHOLAR_GET_RELEASE
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 release documentation.
Untrusted display-only summary
SEMANTICSCHOLAR_LIST_RELEASES
Tool to list all available dataset releases from Semantic Scholar. Use when you need to discover available release dates for downloading datasets.
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SEMANTICSCHOLAR_PAPER_RELEVANCE_SEARCH
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 scientific literature based on user-defined search criteria. This endpoint should be used when researchers, s…
Untrusted display-only summary
SEMANTICSCHOLAR_PAPER_TITLE_SEARCH
Behaves similarly to /paper/search , but is intended for retrieval of a single paper based on closest title match to given query. Examples: https://api.semanticscholar.org/graph/v1/paper/search/match?query=Construction of the Literature Graph in Semantic Scholar Returns a single paper that is the closest title match.…
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SEMANTICSCHOLAR_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. Supports token-based pagination for efficient fetching of up to 10 million papers (use…
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SEMANTICSCHOLAR_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", "Adam Smith", etc.). Use cases: - Find authors by their name to get their author…
Untrusted display-only summary
SEMANTICSCHOLAR_SEARCH_PAPERS
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 filtering by publication type, date, venue, field of study, and citation metrics.
Untrusted display-only summary
SEMANTICSCHOLAR_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. Example: For query "machine learning", returns papers like "Machine learning - a probab…
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SEMANTICSCHOLAR_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, location in paper, citation references, and paper metadata (title, authors, corpus…
Untrusted display-only summary
Provenance
The detail snapshot comes from an attributed MIT-licensed repository revision. Safe local icons use exact-match CC0 Simple Icons symbols; unmatched brands use monograms.
Remote text is plain display metadata only. It must never become an agent prompt, execution policy, OAuth grant, or executable instruction.