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
Save this stack
Get this stack plus weekly new stacks and agent updates delivered to your inbox.
Need help implementing this?
Connect with a vetted AI implementation specialist who can set up this stack for your business.
Find an implementation specialist →Some agents in this stack expose an MCP server
MCP (Model Context Protocol) is an open standard for connecting AI agents to tools and data. The agents that publish a server can be connected into directly by an AI assistant. The others act as clients, meaning they consume external tools rather than exposing their own, so those steps still need conventional integration.
Discussion
No discussion yet
Be the first to ask a question or share your experience with this stack.