Consensus vs Exa
Two search AI tools compared on the facts: what each one does, how it charges, and where their capabilities overlap. We track tools, we don't rate them, so there is no winner declared here. The differences below should make the right pick for your use case obvious.
Consensus
AI powered scientific search engine for peer reviewed research
Consensus indexes over 200 million academic papers from PubMed, OpenAlex, and Semantic Scholar to deliver evidence-backed research answers. Its Consensus Meter visualizes scientific agreement across studies, linking each claim directly to source papers. Users can access the platform through a web application, REST API, or MCP server.
Exa
Web search API built for AI agents
Exa is a web search and crawling API designed for AI agents and language models. It provides real-time web results, token-efficient text extracts, and structured outputs with web-grounded citations. New accounts receive $20 in initial credits upon signing up.
At a glance
Swipe the table sideways to see both tools.
| Consensus | Exa | |
|---|---|---|
| Price | Free plan available Free Free · Pro Custom · Team Custom · Enterprise Custom | Free plan, then $7 usage-based Free Tier Free · Search $7 usage-based · Enterprise Custom |
| Pricing model | freemium | freemium |
| Website | consensus.app ↗ | exa.ai ↗ |
| Shared capabilities | ai-search citations research developer-api | |
| Only here | answer-engine summarization | ai-agents codebase-context |
Capability tags are factual labels we assign when a tool is added; they describe what a tool does, not how well it does it.
Checked against the vendors. Written from each vendor's own site and last re-checked there: Consensus (not re-checked yet) · Exa (not re-checked yet). Vendors change pricing and features without notice, so confirm anything that decides your purchase on the vendor's page.
Key features
Consensus
- Consensus Meter to aggregate study verdicts into agreement distributions
- Medical mode filtering to clinical guidelines and top medical journals
- Natural language prompt parsing for timeframe and study design filters
- Model Context Protocol (MCP) server and REST API for agent workflows
Exa
- Configurable search latency from 180ms to 1s
- Token-efficient web text and highlight extraction
- Asynchronous deep research with structured JSON schema outputs
- Scheduled web monitors with webhook updates
What each one does well
Consensus
- ✓ Finding and synthesizing peer-reviewed research papers
- ✓ Visualizing scientific agreement on specific research questions
- ✓ Connecting AI agents to verified scientific citations via MCP or REST API
Exa
- ✓ Providing real-time documentation and repository context to coding agents
- ✓ Gathering structured research data with cited web sources
- ✓ Monitoring web updates and fresh events on a set schedule
Full fact sheets, FAQs, and discussion links: Consensus · Exa · all search tools