Discover, read, and analyze 280M+ scientific research papers directly from Claude. SciSpace turns Claude into your AI research assistant — run question-aware semantic search across peer-reviewed literature, pull full abstracts with citations, and add AI-generated columns for methods, results, limitations, datasets, and more. Built for researchers conducting literature reviews, background research, and meta-analyses — bring scientific knowledge into your AI workflow, with every result linked back to the original paper.
add-columnAdd a new data column (conclusions, methodology, etc.) to the papers table. Requires previous search results.
columnKeystringThe column to add
searchTermstringThe original search term
uniqueIdsarrayPaper unique IDs
search-papersSearch 280M+ peer-reviewed papers across all disciplines on SciSpace — the largest and most frequently updated academic index available. Uses semantic search; always pass a full natural-language question, not keywords. Returns titles, abstracts, authors, year, journal, and citation counts.
searchQuestionstringA natural-language research question to find relevant academic papers. Phrase it as a full question (e.g. 'How does sleep deprivation affect memory consolidation?'), not keywords (e.g. 'sleep memory'). If the user provided only keywords or a topic, rewrite them into a well-formed question first.
searchTermstringSearch query or research topic to find relevant academic papers.