Consensus

What it does

Consensus takes a research question, keywords, a paper title, author or DOI, and searches a database of over 220 million peer-reviewed papers. It returns a ranked list of the top 20 relevant papers plus AI-written summaries that carry citations back to the underlying studies. It can also produce comparisons, extracted details such as methods and sample size, tables, and agreement or disagreement across the literature. If it cannot find enough relevant evidence, it says so rather than filling gaps with outside information.

People use it to find studies quickly, check what the evidence says on a topic, and run larger literature reviews. Distinct features include the Consensus Meter, which visualizes agreement on yes-or-no questions, Deep Review, which synthesizes 50-100 papers, a Research Agent for multi-step questions, a Citation Graph, My Library collections, and chat across the full text of papers or uploaded documents. Retracted papers are excluded from AI analyses.

It suits researchers, clinicians, students and professionals who want grounded answers rather than general chatbot output. The free tier has monthly limits on Pro messages, Deep reviews and Study Snapshots; paid plans raise those limits. Answers depend on what is in its database, and full-text depth is available only when full text exists, so verify important claims against the cited papers.

What it can do

• Hybrid semantic and keyword search across 220M+ papers
• Cited AI summaries and comparisons across studies
• Deep Review synthesis of 50-100 papers
• Consensus Meter for yes/no questions
• Chat with full text of papers, collections or uploaded documents
• Citation Graph and My Library collections

Example workflows

Check a yes/no claim

Input: a yes-or-no question such as whether an intervention improves an outcome. Steps: run the search, review the top-ranked papers, open the Consensus Meter. Output: a cited summary and a view of how much the literature agrees.

Draft a literature review

Input: a complex research question. Steps: run a Deep Review, filter results, save papers to My Library, then ask follow-up questions on the full text. Output: a cited synthesis and an organized collection of papers.

Before you choose

• Free and paid plans cap Deep reviews, Pro messages and API/MCP calls each month.
• Coverage depends on its paper database, and full-text analysis applies only when full text is available.
• Only the top 20 papers are ranked in the final stage.

Listed under

• Data
• Research
• Academic research
• Academic search
• Clinicians
• Evidence analysis
• Evidence synthesis
• Literature review

Get started

Paid plans are optional upgrades.

1. Go to consensus.app and create a free account.
2. Run a search with a natural-language question or keywords.
3. Check Settings > Subscription to see usage and reset dates, and upgrade if needed.

Pro is $20/month or $144/year billed annually; Deep is $65/month or $540/year billed annually. Teams pricing depends on team size; Enterprise is a custom quote.

Source: help.consensus.app/en/articles/10087865-subscription-plans, checked 29 Oct 2026. Prices can change; check before you buy.

Sources for this overview

Product pages, documentation, and pricing checked 29 Oct 2026. Each source supports part of the overview; availability and prices can change.

• How Consensus Works | The Consensus Help Center (https://help.consensus.app/en/articles/9922673-how-consensus-works) ↗help.consensus.app
• Subscription Plans | The Consensus Help Center (https://help.consensus.app/en/articles/10087865-subscription-plans) ↗help.consensus.app

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Last checked 29 Oct 2026. Every field keeps its source and date; unknown means we couldn’t confirm it.