Full text, not just abstracts
Methods, doses, and effect sizes rarely make it into the abstract. Consensus searches the whole paper and returns the part that matters.- Search inside the paper: match on methods and results, not just abstracts.
- Return the passage: get query-relevant excerpts, labeled by section.
- Ground every answer: cite the actual text, not a paraphrase.
See a real full-text response
See a real full-text response
Add A real response, trimmed to one result with shortened excerpts. The
include_full_text_chunks=true to any search. Full-text excerpts are available on all paid plans.takeaway gives you the paper’s conclusion. The full_text_chunks give you what the abstract leaves out — the doses, durations, and study designs behind that conclusion — each labeled with the section of the paper it came from.What people build
Most teams building on Consensus fall into one of two groups.Internal tools for your organization
Enterprise R&D teams, biotechs, and AI startups connecting paper search to internal assistants, scientific agents, monitoring agents, and literature tables.
Custom research systems
Academics and research groups building their own literature-review, writing, and reporting pipelines — in code or inside the AI tools they already use.
Internal tools for your organization
Paper search for your agentGround the scientific agent you ship in full-text papers, the way Phylo and Owkin do.See how Field-monitoring agentSurface what’s new in your team’s fields every week, and track who’s publishing it.See how Self-filling literature tableRun the same literature questions across hundreds of targets or compounds, on demand or on a sync.See how
More in the internal tools guide, including internal AI assistants and exhaustive paper lists.
Custom research systems
Literature review pipelineFan out, filter, and deduplicate into a review you can reproduce and report.See how Citation-grounded writingBack every claim in a draft with a real paper, or flag it as unsupported.See how Consensus in your AI assistantRun the same workflows in Claude or ChatGPT over MCP, with no code.See how
More in the research systems guide, including scheduled evidence reports.
Real examples

Phylo: literature retrieval for agentic biology
Phylo’s agents fan each biology question out into parallel Consensus API searches. One internal team screens about 20,000 targets across hundreds of diseases, with almost zero production errors.

Owkin: a full-text evidence layer for K Pro
Owkin replaced a hand-maintained set of PubMed abstracts with Consensus MCP inside its agentic AI scientist — 25x the paper coverage, shipped in days.
Two ways to connect
You can reach Consensus two ways:REST API
One
x-api-key, every filter, and pagination to exhaustion. For pipelines, internal tools, and anything scheduled.MCP server
Plug into Claude, ChatGPT, Claude Code, or any MCP-compatible agent. No code, and each user signs in with their own account.
Explore more
Get started
Pick a surface, run your first filtered search, and find the guide for what you’re building.
Use case library
30 worked examples you can filter by persona, each with the full prompt or API call behind it.
Best practices
The five building blocks, rate limits, and the grounding rules that keep output trustworthy.