Consensus

• AI-powered summarization of research findings
• “Consensus Meter” showing degree of agreement across studies
• Deep search / Pro Analyses for more thorough insights
• Study Snapshots summarizing methodology, results, sample size
• Ask Paper: question a specific study for details
• Quality indicators and filters (study design, sample size, open access)
• Unlimited basic search across 200+ million research papers
• Bookmarking, custom lists, citation management
• Team / collaboration and account management in higher tiers
• API / enterprise licensing (planned or in development)

Consensus is an AI-powered academic research engine designed to transform how researchers, students, and professionals access and interpret scientific literature. At its heart, Consensus enables users to input natural language queries and receive evidence-based answers synthesized from over 200 million peer-reviewed research papers. The tool goes beyond simply returning search hits; it distills relevant insights, cites source studies, and visualizes agreement across the scientific community.

When you ask a question, Consensus uses semantic search and large language models to locate relevant papers, then generates concise summaries that extract key results, methodology, sample sizes, and outcomes. The Consensus Meter feature helps indicate how much consensus (or disagreement) exists across the studies on that topic, so users can see whether findings are broadly supported or contested. For deeper exploration, “Pro Analysis” or “Deep Searches” unlock more nuanced insight, allowing for deeper extraction, multi-study comparison, and richer context.

Consensus offers built-in tools such as Study Snapshots, which provide at-a-glance views of a paper’s key metrics, and Ask Paper, whereby users can pose focused questions to individual studies. Quality filters let you narrow results by study design (e.g., randomized controlled trials, observational), sample size, methodology, or open access availability. Users can bookmark, build custom lists, and manage citations to support their writing or literature review workflows.

The platform follows a freemium pricing model: the free tier gives you limited access to deep analyses while allowing unlimited basic searches and integrity indicators. The Premium subscription (~USD 11.99 per month) unlocks full access to summaries, the Consensus Meter, unlimited Pro Analysis, and more. For power users, Deep and Teams / Enterprise plans scale search capacity, team features, and institutional support.

By combining semantic AI, deep scientific coverage, and rigorous sourcing, Consensus seeks to simplify literature reviews, assist evidence-based decision making, and reduce the friction of navigating complex scientific domains. For students writing papers, researchers doing meta-studies, or professionals seeking scientific backing, Consensus can save hours of manual research while preserving traceability to original peer-reviewed work.