Academic Research Stack
Consensus searches across 200 million peer-reviewed papers using AI to find studies that directly answer your research question — returning consensus meters showing whether the evidence supports a claim. Elicit then takes those papers further, extracting key data points, methods, and findings into structured summaries that can be compared across studies. Together they compress days of literature review into a focused, evidence-grounded research session.
The workflow — 2 agents in sequence
Peer-reviewed paper discovery and evidence validation
AI-powered academic search engine with Consensus Meter and Deep Search across 250M+ peer-reviewed papers. MCP server for Claude and ChatGPT. Free; Pro $12/mo; Deep $45/mo.
Consensus finds relevant studies and returns consensus scores — selected papers are imported into Elicit for deeper extraction
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