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Consensus is an AI academic search engine searching 200M+ peer-reviewed papers to deliver cited, evidence-based answers for researchers, students, and clinicians.
Consensus search index (200M+ papers); Consensus Meter; limited Pro Analysis and Study Snapshot per month; basic filters
25 Pro Searches/month; 3 Deep Searches/month; limited Study Snapshots; Consensus Meter; no credit card required
Research
9.5Consensus 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
8.8Pro 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
7.5Consensus 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
7.2Consensus 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
8.0Pro 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.
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.
Pricing
| Plan | Model | Usage Limits | Price |
|---|---|---|---|
| FreeFREE | Consensus search index (200M+ papers); Consensus Meter; limited Pro Analysis and Study Snapshot per month; basic filters | 25 Pro Searches/month; 3 Deep Searches/month; limited Study Snapshots; Consensus Meter; no credit card required | Free |
| Pro | Full Consensus AI search engine; Pro Analysis across up to 10 papers; Study Snapshot with methodology and sample size; 15 Deep Searches/month; Consensus Copilot; paper chat; advanced filters (study design, sample size, date, journal quality) | Unlimited Pro Searches; unlimited Pro Analysis (summaries across up to 10 papers); unlimited Study Snapshots; 15 Deep Searches/month; paper chat; Consensus Copilot; student and clinician discount up to 40% | $15/month or $120/year |
| Deep | All Pro features; 200 Deep Searches/month; designed for high-frequency literature review workflows | All Pro features; 200 Deep Searches/month instead of 15; designed for frequent literature reviews | pricing not publicly listed |
| Teams/Enterprise | All Pro/Deep features; study_type and takeaway metadata per paper (Pro+); DOI data (Enterprise); MCP Server with enterprise rate limits | — | — |
Consensus search index (200M+ papers); Consensus Meter; limited Pro Analysis and Study Snapshot per month; basic filters
25 Pro Searches/month; 3 Deep Searches/month; limited Study Snapshots; Consensus Meter; no credit card required
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
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.