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Consensus AI

AI-powered scientific search engine for peer-reviewed research, with evidence-backed answers and citations.

Research

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About Consensus AI

Consensus is an AI-powered scientific search engine that indexes over 220 million peer-reviewed papers from sources like Semantic Scholar, OpenAlex, and PubMed. It ranks and synthesizes research findings, returning evidence-backed answers with inline citations.

Key Benefits

  • AI-powered search and synthesis
  • Full-text analysis of papers
  • Consensus Meter for yes/no questions
  • Citation Graph for mapping research
  • Advanced filtering (study design, country, duration)
  • Upload and analyze private PDFs
  • Integration with reference managers (Endnote, Mendeley, Zotero)
  • API and MCP server access
  • Multilingual support (search and summaries)
  • Pro Analysis and Ask Paper features

Use Cases

  • Finding peer-reviewed papers on specific research questions
  • Summarizing consensus across studies
  • Identifying high-quality evidence for clinical or policy questions
  • Comparing findings across study designs or populations
  • Tracing research ideas through the literature
  • Automating research discovery via API integration
  • Managing and exporting citations for academic projects

Pros

  • Indexes over 220 million peer-reviewed papers
  • Provides evidence-backed AI summaries with citations
  • Full-text analysis including paywalled and open access papers
  • Advanced filtering and quality ranking
  • Citation Graph for mapping research connections
  • Integration with reference managers
  • API and MCP server for custom workflows
  • Multilingual support for search and summaries

Cons

  • Recently published papers may not be immediately indexed
  • AI-generated summaries require verification for high-stakes uses
  • Some features are limited to paid tiers or in beta
  • Access to API and advanced tools may require approval or higher-tier plans

Integrations

EndnoteMendeleyZoteroREST APIMCP server