Consensus Review: AI Search Over Peer-Reviewed Papers

#Quasa #QUA #consensus

Consensus is an academic search engine that answers a question from peer-reviewed papers instead of the open web. You type a research question, it pulls from 220M+ studies, and the Consensus Meter shows how many papers lean yes, no, or mixed. Study Snapshots, Ask Paper, and Deep Search turn a pile of abstracts into a cited brief. Free keeps unlimited basic search and caps the AI extras (a handful of Pro analyses, snapshots, Ask Paper, and about three Deep runs a month). Pro is $15/month or $120/year ($10 effective) with unlimited Pro tools and 15 Deep Searches. Deep is $65/month or $540/year ($45 effective) with 200 Deep Searches. Students and clinicians often get a verified discount. A meter is not a systematic review. Open the papers.

𝐂𝐎𝐑𝐄 𝐒𝐓𝐑𝐄𝐍𝐆𝐓𝐇𝐒:
• Corpus is published research, not blogs
• Consensus Meter for agreement at a glance
• Citations you can click back to
• Deep Search for a real lit-review pass
• Usable free search before you pay

𝐈𝐃𝐄𝐀𝐋 𝐅𝐎𝐑:
Students, clinicians, and analysts who need “what do the studies say?” with sources, not a chat essay.

𝐇𝐈𝐆𝐇𝐋𝐈𝐆𝐇𝐓𝐒:
• 10M+ users; 170+ university libraries
• Filters by method and study type
• Zotero-style export and lists
• Medical mode and paper chat on paid tiers
• Teams and campus deals for labs

𝐏𝐎𝐓𝐄𝐍𝐓𝐈𝐀𝐋 𝐂𝐎𝐍𝐒𝐈𝐃𝐄𝐑𝐀𝐓𝐈𝐎𝐍𝐒:
• Deep Search is the meter that forces an upgrade
• Preprints and books sit outside the core promise
• Summaries can flatten conflicting methods
• Not a replacement for reading the full text
• Deep plan is steep if you only search weekly

𝐎𝐕𝐄𝐑𝐀𝐋𝐋 𝐕𝐄𝐑𝐃𝐈𝐂𝐓: 4.5/5 𝐒𝐓𝐀𝐑𝐒
Consensus is one of the cleanest ways to start an evidence question. Stay free while you learn the meter. Buy annual Pro when snapshots and Ask Paper become daily. Take Deep only if literature reviews are the job. Always open two or three source PDFs before you cite the AI paragraph.

𝐆𝐄𝐓 𝐒𝐓𝐀𝐑𝐓𝐄𝐃: https://quasa.io/projects/consensus