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Consensus

FreemiumResearch Last updated: April 16, 2026

Consensus is an AI academic search engine searching 200M+ peer-reviewed papers to deliver cited, evidence-based answers for researchers, students, and clinicians.

Our General Score

8.2/10
Functionality9.0
Features8.5
Usability8.8
Value9.0
Integrations6.5
Reliability7.5

Plans & Pricing

Model

Consensus search index (200M+ papers); Consensus Meter; limited Pro Analysis and Study Snapshot per month; basic filters

Usage Limits

25 Pro Searches/month; 3 Deep Searches/month; limited Study Snapshots; Consensus Meter; no credit card required

Use Cases

Research

9.5

Consensus searches 200M+ peer-reviewed papers with advanced filters for study design, methodology, sample size, and journal quality; Deep Search conducts literature reviews across up to 50 papers per query; every output includes direct paper citations eliminating fabricated references.

Education

8.8

Pro plan at $15/month (up to 40% student discount available) provides students with unlimited Pro Analysis summaries and Study Snapshots for dissertation research, essay evidence-gathering, and literature review assignments without requiring institutional database access.

Data Analysis

7.5

Consensus Meter quantifies percentage agreement across studies for Yes/No research questions; Study Snapshot extracts structured metadata (methodology, sample size, study duration) from individual papers for comparative analysis; output is paper-level metadata, not raw datasets.

Content Creation

7.2

Consensus Copilot drafts structured literature review outlines and explains complex scientific concepts using cited paper evidence; content scope is limited to academic and scientific topics — general creative or marketing content is outside the platform's database scope.

Personal Productivity

8.0

Pro plan at $15/month replaces hours of manual database searching with AI-synthesised cited summaries; export to Endnote, Mendeley, and Zotero integrates directly into existing reference management workflows for researchers maintaining personal literature libraries.

Platforms

WebAPIBrowser Extension

Capabilities

Context WindowN/A
API PricingVaries
Image Generation✗ No
Memory Persistence◑ Partial
Computer Use✗ No
API Available✓ Yes
Multimodal✗ No
Open Source✗ No
Browser Extension✓ Yes

Overview

Consensus is an AI-powered academic search engine that searches over 200 million peer-reviewed papers to answer natural language research questions with cited, evidence-grounded summaries. It differentiates from general search engines and AI assistants by grounding every output in specific peer-reviewed literature with direct paper citations, eliminating hallucinated references. Core features include Pro Analysis (AI summaries across up to 10 papers), the Consensus Meter (visualising percentage agreement across studies for Yes/No questions), Deep Search (literature review across up to 50 papers per query), and Study Snapshot (structured paper metadata including methodology and sample size). An MCP Server enables integration with Claude Code, Cursor, and other AI coding environments. Coverage is limited to published academic papers — preprints, grey literature, and real-time data are excluded. Institutional full-text access depends on publisher permissions.

Key Features

  • Pro Analysis generating AI-powered summaries across up to 10 peer-reviewed papers per search with direct citation links on Pro and above
  • Consensus Meter visualising percentage of studies supporting Yes, No, or Possibly for binary research questions across the full paper database
  • Deep Search conducting literature reviews across up to 50 papers per query with structured synthesis of findings and study characteristics
  • Study Snapshot extracting structured paper metadata including methodology, sample size, and study duration from individual papers in one click
  • MCP Server at mcp.consensus.app enabling Consensus searches inside Claude Code, Cursor, and other AI coding environments with plan-tiered results
  • Advanced search filters for study design (RCT, meta-analysis, systematic review), sample size, publication date, and journal quality indicators

Pros & Cons

Pros

  • Every Pro Analysis output cites specific peer-reviewed papers with direct links — eliminating the fabricated citations that general AI assistants including ChatGPT and Claude produce when asked research questions
  • Free plan provides 25 Pro Searches and 3 Deep Searches per month with no credit card required, enabling genuine research workflow validation before any financial commitment
  • MCP Server integration enables researchers to query 200M+ peer-reviewed papers directly inside Claude Code and Cursor without leaving their AI coding or writing environment
  • Pro plan at $15/month ($120/year) with up to 40% student and clinician discounts provides unlimited academic literature access at a cost significantly below institutional database subscriptions

Cons

  • Coverage is limited to published academic papers — preprints on arXiv or bioRxiv, grey literature, clinical guidelines, and real-time data are excluded from the search index
  • Full paper text access depends on open access status or institutional permissions — Consensus surfaces metadata and abstracts but cannot provide paywalled full text without institutional library integration
  • Coverage depth varies significantly by discipline — natural sciences and medicine are comprehensively indexed while social sciences, humanities, and interdisciplinary fields have materially less coverage
  • Deep Search with 200 queries/month requires the Deep plan with pricing not publicly listed; Pro's 15 Deep Searches/month is insufficient for researchers conducting multiple systematic reviews simultaneously

Who It's For

Best For

  • Academic researchers, PhD candidates, and graduate students conducting literature reviews who need cited, evidence-grounded summaries from peer-reviewed papers without institutional database access
  • Clinicians and medical professionals needing rapid access to evidence-based literature for clinical decision support and evidence synthesis
  • Data scientists and developers building research-augmented AI applications via the Consensus API at $0.10/call to embed peer-reviewed citations programmatically
  • Educators developing course materials requiring evidence-backed explanations and structured research outlines from scientific literature

Not Ideal For

  • Researchers requiring preprint access, grey literature, clinical guidelines, or real-time publication data outside the indexed peer-reviewed database
  • Users in social sciences, humanities, or interdisciplinary fields where Consensus coverage is materially less comprehensive than in natural sciences and medicine
  • Teams needing offline access or desktop app functionality — Consensus is web-only with no native mobile or desktop application
  • General information queries outside academic and scientific topics — Consensus searches only peer-reviewed literature, not the open web

Audience Scores

Deep plan provides 200 Deep Searches/month each reviewing up to 50 papers — sufficient for systematic literature reviews and clinical evidence synthesis; MCP Server at https://mcp.consensus.app/mcp enables Consensus searches inside Claude Code and Cursor with Pro+ returning study_type and takeaway per paper.

Free plan's 25 Pro Searches and 3 Deep Searches/month cover light academic work; Pro at $15/month (up to 40% student discount) provides unlimited searches and Copilot for dissertation literature reviews; no institutional database subscription required to access results from 200M+ papers.

Consensus Copilot generates structured research outlines and evidence-backed explanations from peer-reviewed literature for course material development; faculty discount up to 40% off Pro reduces cost; coverage depth varies by discipline — natural sciences and medicine are stronger than social sciences and humanities.

API at $0.10/call baseline returns top 20 papers per query with relevance scores, citation counts, and metadata for programmatic literature discovery workflows; Pro+ API adds study_type and takeaway per paper enabling structured data extraction; Enterprise API adds DOI for full citation pipeline integration.

Consider These Instead

When Not To Choose Consensus

Choose Semantic Scholar when free, comprehensive academic paper search with citation graph analysis and open API access is needed without a subscription — Semantic Scholar covers 200M+ papers at no cost with a public REST API and no per-query fee. Choose Elicit when systematic review workflow support with structured data extraction from PDFs, custom column configuration across papers, and multi-paper comparison tables is the primary requirement — Elicit's table-based interface supports more granular structured data extraction than Consensus's summary format. Choose Perplexity when real-time web search combined with academic citations is needed — Perplexity searches both the open web and academic sources simultaneously, covering current events and preprints that Consensus's peer-reviewed-only index excludes.

Integrations

ZoteroEndnoteMendeleyChatgpt (Consensusgpt Plugin)

Known Limitations

accuracy variabilityecosystem weaknessfeature gapbias risk