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Consensus

AI search for peer-reviewed research and literature reviews

Consensus helps you search, organize, and analyze peer-reviewed literature faster. It is built for researchers, students, clinicians, and institutions that need cited answers from academic sources.

Freemium
iOS
API
B2B
RAG
Cloud Hosted
For Teams
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About

What It Is

Consensus is an AI-powered academic search engine focused on peer-reviewed literature. It is designed for literature reviews, research exploration, and evidence lookup rather than general web search. According to its site, it draws from hundreds of millions of research papers and supports workflows like search, synthesis, and evidence comparison.

The product appears aimed at researchers, students, clinicians, and university or enterprise research teams. You get started on the web, and the platform works around natural-language research questions, filters, and structured outputs for comparing evidence and organizing findings. It also offers an academic-facing setup through university libraries and organizational partnerships.

What to Know

Consensus looks strongest for people who need quick, cited access to scholarly sources without leaving a research workflow. It is especially relevant for literature reviews and medical or scientific evidence checks. That said, it is not a general-purpose research agent that autonomously completes end-to-end projects; it helps you search and analyze, but you still need to interpret results and verify sources yourself.

A few details are clear from the site: it uses a curated index of peer-reviewed work and includes licensed full text from publishers, and it says it does not train on publisher content. Pricing details are not clearly published on the pages provided, beyond invitations to search for free. Model/provider details, MCP support, and local deployment are not mentioned.

Key Features
Searches peer-reviewed literature with AI
Builds a Deep Search strategy for literature reviews
Expands key terms and explores citation graphs
Applies natural-language filters for timeframe, population, and study design
Provides a Consensus Meter for yes-or-no research questions
Use Cases
Running a literature review for a thesis, paper, or grant proposal
Checking whether evidence supports a medical or scientific claim
Comparing randomized and observational evidence on a research question
Agenticness: Reactive Tool

Responds to prompts but takes no autonomous action.

High evidence
Last evaluated: Mar 28, 2026

Dimension Breakdown

Action Capability
Autonomy
Adaptation
State & Memory
Safety

Categories

Pricing
  • Free: Search for free on the web; detailed tier limits were not clearly provided.
  • Pro: Pricing not publicly available.
  • Enterprise: Available for universities and organizations; contact sales for details.
Details
AddedJanuary 16, 2026
RefreshedMarch 28, 2026
Quick Facts
DeploymentCloud-hosted
AutonomySemi-autonomous
Model supportSupports local models
Open sourceNo
Team supportEnterprise
Pricing modelFreemium
Interfaceweb, api
Sources
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