Fast Search Papers, for Your Code
Retrieves relevant abstracts and paper metadata by a search, with minimal fluff and processing to get searches quickly. Generates an answer using LLMs if generative_mode is set to true. For an API meant for direct use with agents, use /api/abstracts
Query Parameters
The user query. E.g. 'Tell me about recent drugs for cancer treatment'
The sort order for results. Valid values are relevance, cited_by_count, publication_date. Defaults to relevance.
The first year, inclusive, to include in the search range. Excluding this value will include all years.
The last year, inclusive, to include in the search range. Excluding this value will include all years.
The offset of the first result to return. Defaults to 0.
Boolean "true" or "false" to enable generative mode. If enabled, collate responses using markdown to render in-text citations to the source's url if available. Set this to true by default.
Response
The abstract of this paper. Agentic endpoints may not have this entry.
Answer to the user query based on the information from this paper. Only available if generative_mode is set to true.
Digital Object Identifier
Semantic Scholar ID