Consensus
Search engine that answers from papers
Ask an empirical question; Consensus searches 200M+ papers and synthesizes findings with a consensus meter and citations. Free with daily search limits; Pro $10/mo; 40% student discount on .edu emails.
What it does
Consensus is a search engine that answers empirical questions from the scientific literature: it retrieves relevant studies from an index of over 200 million papers and synthesizes what they collectively indicate, citation by citation.
The consensus meter summarizes the direction of findings across studies for yes/no questions — a fast literature temperature-check, though no substitute for reading methodology.
The 2026 lineup is Free (20 searches/day), Pro at $10/mo with unlimited searches and stronger synthesis, and a Deep tier at $45/mo, with a 40% student discount and institutional licenses for universities.
From the AXIS Launch team
The consensus meter is a genuinely novel interface for scientific uncertainty, and also the feature most likely to be over-trusted by non-experts. If you claim this: how do you weight study quality — sample size, design, replication status — in that meter, and how do you communicate its limits?
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