Consensus

Consensus

Consensus is an AI-powered academic search engine that finds, ranks, and synthesizes over 400 million peer-reviewed papers, with answers cited to specific studies.

Tags
ai-research-toolai-search-engineliterature-reviewacademic-researcheducation
Last Updated Oct 21, 2026
Consensus screenshot

About

Consensus is an AI academic search engine built for people who need answers grounded in scientific literature rather than general web content. It indexes more than 400 million peer-reviewed papers sourced from Semantic Scholar, OpenAlex, PubMed, and publisher feeds, and it deliberately excludes blogs, encyclopedias, and other non-academic pages from its corpus.

Users type a research question in plain language, and Consensus returns evidence-backed answers with inline citations linking back to the source papers, including DOIs. Results are ranked using signals such as study design, citation count, journal quality (SJR), and recency. The product serves a web app for human researchers as well as a REST API and an MCP server for AI agents, making the same retrieval and synthesis available to both. It is aimed at researchers, clinicians, students, journalists, and developers building agent workflows that need citable scientific sources.

Key Features

Academic-only corpus: Searches span more than 400 million peer-reviewed papers from Semantic Scholar, OpenAlex, PubMed, and publisher feeds, excluding non-academic web content.
Consensus Meter: Aggregates per-study verdicts (Yes / No / Possibly / Mixed / Unknown) into a single distribution for a yes/no question, showing where the literature stands rather than one paper's claim.
Quality-based ranking: Results are sorted by study design (RCT ahead of systematic review and observational studies), citation count, journal quality, and recency.
Cited, grounded answers: Every claim links to a real, retrievable paper with a DOI, designed to avoid the fabricated-citation problem common in general-purpose LLMs.
Preprint filtering: Preprints are indexed and tagged by default, and API users can exclude them to restrict results to peer-reviewed papers only.
Agent-native access: A first-class MCP server with OAuth 2.1 and dynamic client registration, plus a REST API, supports integration into clients such as Claude, ChatGPT, Cursor, and Codex.
Synthesis across studies: Users can summarize what the literature says about a topic and compare findings across study designs, populations, or interventions.

Pricing & Fees

  • Pricing: Not publicly listed on the pages we reviewed; check the official site for current plans. The product's documentation describes anonymous (limited), Free, Pro, Team, and Enterprise tiers.
  • Free access: A limited anonymous mode and a Free tier are available, with rate limits and quotas detailed on the official pricing page.
  • Freshness: The index updates continuously, but papers published in the last few weeks may not yet appear.
  • Language coverage: Search and AI summarization are optimized for English; non-English papers are indexed only where metadata is available.

Who It's For

Consensus is designed for academic researchers and graduate students conducting literature reviews, clinicians checking the evidence base for a treatment or policy question, and journalists verifying scientific claims. It also serves AI developers building agents that need citable sources, through its REST API and MCP server. Typical questions range from whether intermittent fasting affects cardiovascular health to what studies conclude about caffeine and endurance performance.

FAQ

What is Consensus?Consensus is an AI-powered scientific search engine that finds, ranks, and synthesizes peer-reviewed research, returning evidence-backed answers with inline citations to the source papers.

Does Consensus have a free plan?Yes, Consensus offers a limited anonymous mode and a Free tier, alongside paid Pro, Team, and Enterprise tiers; current quotas are listed on the official pricing page.

Can Consensus be used with AI tools like ChatGPT or Claude?Yes, Consensus provides an MCP server and a REST API, and its documentation covers setup in MCP-compatible clients such as Claude, ChatGPT, Cursor, and Codex.

Do the AI summaries include citations?Yes, every answer links to real papers with DOIs, although summaries are still LLM-generated, so users should consult the underlying paper before quoting verbatim.

Are preprints included in search results?Yes, preprints are indexed and clearly tagged, and API users can exclude them to limit results to peer-reviewed papers only.