Consensus

Consensus is an AI-powered academic search engine built around a database of more than 220 million peer-reviewed research papers. It combines semantic and keyword search, ranks results using factors such as recency, citations, and journal quality, and refines the top results with AI. Pro messages, Deep reviews, Consensus Meter, Study Snapshots, full-text chat, My Library, and API/MCP access help researchers move from discovery to evidence synthesis.

✨ Key Features

• Search academic literature — Find relevant papers with semantic and keyword search.
• Prioritize research quality — Rank results using recency, citation count, and journal-quality signals.
• Generate cited synthesis — Use Pro messages to summarize findings with citations.
• Run Deep reviews — Analyze a larger set of papers for more comprehensive literature review.
• Measure agreement — Use Consensus Meter to visualize agreement or disagreement in research.
• Inspect Study Snapshots — Extract methodology, sample size, outcomes, and other study details.
• Chat with full text — Ask questions across selected papers, collections, or uploaded documents.
• Organize My Library — Save papers into custom lists for later research.
• Use API and MCP access — Connect research search and synthesis to supported workflows.
• Support teams and institutions — Manage team accounts, centralized billing, and larger research programs.

💳 Pricing

• Free — $0; unlimited Papers searches, limited Pro messages, 3 Deep reviews/month, 10 Study Snapshots/month, and 30 API/MCP calls/month.

• Pro — $20/month or $144/year; unlimited Pro messages and Study Snapshots, 15 Deep reviews/month, and 500 shared API/MCP calls/month.

• Deep — $65/month or $540/year; includes Pro features, 200 Deep reviews/month, and 2,000 shared API/MCP calls/month.

• Teams — Custom pricing; team accounts, centralized billing, discounts up to 200 seats, and 50 Deep reviews per user/month.

• Enterprise — Custom quote for larger institutions, with higher volume discounts, library integrations, training, and enterprise account management.

• API/MCP metering — Free includes thirty monthly calls; Pro, Team and Enterprise include 500, and Deep 2,000. Paid additional usage is opt-in at US$0.05/call, with total monthly limits of 1,000 for Pro/Team/Enterprise and 10,000 for Deep. Each block of up to 100 returned papers counts as one call; usage resets on the first of the month. Current subscription and dedicated API docs agree on these allowances.

⚖️ Alternatives Compared

🎯 Use Cases

• Finding peer-reviewed evidence for a research question.
• Preparing a literature review or research brief.
• Comparing findings across multiple studies.
• Checking methodology, sample size, and outcomes quickly.
• Identifying agreement, disagreement, and research gaps.
• Asking follow-up questions across a paper’s full text.
• Saving candidate papers into a reusable research library.
• Connecting evidence search to API or MCP workflows.
• Supporting research teams, labs, and university programs.