scite AI: AI research assistant that finds, reads, and analyzes scientific literature with Smart Citation context.
Shows you how scientific papers have been cited â whether other researchers supported, contradicted, or just mentioned a study's findings.
scite AI is a Research Agents platform that helps researchers find, read, and verify scientific literature by grounding AI answers in over 280M peer-reviewed articles with Smart Citation context, with pricing starting at free and premium plans from $20/month. It is built for academic researchers, graduate students, clinicians, and research institutions that need citation-backed evidence rather than hallucinated summaries.
The platform is powered by a proprietary Smart Citations database that has classified over 1.6 billion citation statements across 280M+ sources, using a deep learning model to label each citation context as supporting, contrasting, or mentioning. Unlike generic LLM chatbots, every answer Scite produces links directly back to the original source passage â including the exact section of the citing paper â so researchers can verify claims before using them. Scite maintains direct content agreements with Wiley, SAGE, and 30+ other major publishers, enabling full-text search across both open-access and paywalled literature including preprints, books, patents, and datasets.
Core workflows on the platform include the Assistant (a GPT-style chat grounded in literature), reference checks (validating a manuscript's bibliography for retractions or contrasting evidence), dashboards for tracking topics and authors, and a Table Mode for structured comparative extraction across papers. Based on our analysis of 870+ AI tools in the Research Agents category, Scite is one of the few assistants that combines citation-grounded answers with deep publisher-licensed full-text access and a Model Context Protocol endpoint for integration into external AI agent workflows.
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scite AI stands out among research assistants by grounding every answer in its proprietary database of 1.6B+ classified citation statements across 280M+ peer-reviewed articles. Its Smart Citations â which label each citation as supporting, contrasting, or mentioning â give researchers a level of evidence verification that general-purpose LLMs cannot match, making it especially valuable for systematic reviews, grant writing, and clinical decision support.
A deep learning model has analyzed and classified over 1.6 billion citation statements across 280M+ scholarly sources, labeling each as supporting, contrasting, or mentioning. Every classification is accompanied by a confidence score and a clickable excerpt showing the exact passage and section of the citing paper.
A conversational interface that answers natural-language research questions using retrieval from peer-reviewed full-text, rather than generating speculative answers. Every response is grounded in real papers with direct citation links, eliminating the hallucinated references common in general-purpose LLMs.
Upload a manuscript or bibliography and Scite will flag retractions, errata, and papers whose central claims have been contradicted by subsequent research. This is particularly valuable for authors submitting to journals and for editors vetting incoming submissions for citation integrity.
Researchers can build dashboards to monitor citation activity around specific topics, journals, or authors, and use Table Mode to extract structured data (methods, populations, outcomes) across many papers at once. This turns qualitative literature review into a queryable comparative dataset.
Scite offers browser extensions for PubMed, Google Scholar, and publisher sites, plus plugins for Zotero, EndNote, and Microsoft Word. In 2025 it added a Model Context Protocol endpoint, allowing developers to connect its evidence graph directly to Claude, ChatGPT, or any custom AI agent.
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Scite added a Model Context Protocol (MCP) endpoint in 2025, letting developers connect its 280M-article evidence graph and 1.6B+ Smart Citations directly to Claude, ChatGPT, and other AI agents. The platform also expanded direct publisher agreements to 30+ partners including Wiley and SAGE, and continues to grow its Table Mode for structured cross-paper data extraction.
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