Consensus searches a large database of academic papers instead of the open web. You ask a question in plain language, such as whether a supplement improves sleep, and it returns an answer built from the studies it finds, with each claim linked to its source. For yes-or-no questions, the Consensus Meter shows how the papers split between yes, no, and mixed results. The result is a faster way to see what the evidence says without reading dozens of abstracts.
Study Snapshots summarize each paper’s sample size, methods, and main finding, which helps you judge how much weight to give it. Deeper search modes read and synthesize more papers to produce a longer analysis. You can chat with an individual paper, view a citation graph, save collections, and export references to your citation manager. Because every answer points to a real publication, it is easier to check than a general chatbot’s reply.
A free plan covers a limited number of searches and summaries, and paid tiers add unlimited searching, deeper analysis, and more features, including student and team options. The tool depends on the quality of the research it indexes, and a summary of abstracts cannot replace reading a paper closely, particularly in fields with mixed or low-quality evidence. Elicit, Scite, and Semantic Scholar overlap, and Google Scholar remains the broader if less processed starting point.