73
Stack Score
Best for
PhD researchers and R&D teams running deep literature reviews where finding obscure relevant papers matters more than speed.
At a glance
- Pricing
- freemiumfrom $19/mo
- Setup time
- 5 minutes
- Learning curve
- easy
- Last verified
- 5/19/2026
What we love
- ✓Search depth genuinely surfaces papers other tools miss
- ✓Iterative agent model finds latent connections
- ✓Result quality justifies the higher price point
- ✓No-keyword-tweaking workflow saves real time
Where it falls short
- −Slow — searches can take 5-30 minutes per query
- −Pricing is steep vs Elicit or Consensus
- −Mobile UX is undeveloped — desktop-first tool
Pricing
✓ Pricing verified Jun 21, 20264 tiers
Free
$0
monthly
- ✓Strong AI models for chat, deep searches, reports
- ✓Collaborate on shared projects
- ✓Standard rate limits on chats and searches
- ✓For exploratory research
- ✓No credit card required
Pro
$16
per month, billed annually
- ✓Everything in Free
- ✓Latest, most powerful AI models
- ✓Deepest analysis of full texts
- ✓10x higher usage limits
- ✓Unlimited projects, files, and paper libraries
Team
$15
per person / month, billed annually
- ✓All features in Pro
- ✓Manage team members easily
- ✓Priority customer support
- ✓Centralized billing
- ✓Collaboration tools
Enterprise
Custom
annual contract
- ✓All features in Team
- ✓Increased compute
- ✓Sitewide organizational login
- ✓Admin dashboard
- ✓Custom terms, SLA, and security review
Why we picked it
Pricier but the depth pays off for serious lit reviews.
Overview
Multi-step AI agent that searches academic papers iteratively, like a research assistant. Slower but deeper than Consensus.
Key features
- ●Agent-driven literature search across millions of papers
- ●Iterative discovery — adjusts query as it reads
- ●Citation graph traversal to find downstream work
- ●Domain coverage across STEM, life sciences, humanities
- ●PDF analysis with key findings extraction
- ●Topic-based persistent searches with alerts
- ●Saved reading lists and tagging
Best use cases
Systematic literature review
Run deep searches that find papers across disciplines you would miss with keyword search.
Grant proposal background
Build comprehensive prior-art coverage for novel research directions.
Cross-disciplinary discovery
Surface connections between fields when terminology differs but concepts overlap.
Integrations
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