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Screenrove vs UXbeam

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Screenrove compared with UXbeam
DetailScreenrove logo Screenrove UXbeam
What it doesReal product screens and design references for coding agents Free tree testing tool for testing information architecture
StageNot given Established
FoundedNot given 2021
Based inNot given Not given
Pricing modelFree Free
PricingNot given Free for unlimited tree testing and card sorting studies, unlimited participants and responses, and full analysis. Participant recruitment through UXbeam's panel starts at $1 per participant-minute.
Key features
  • Browse onboarding flows and user journeys
  • Measured design guides with fonts, colors, and spacing
  • Compare UI designs against real products
  • Generate agent-ready build prompts
  • MCP server integration with Claude, Cursor, VS Code, ChatGPT
  • REST API endpoint for programmatic access
  • Documented interactions and design observations
  • No account or API key required
  • Unlimited tree-testing studies and participants
  • Leading-task detection to catch biased wording
  • Path replay visualization of participant navigation
  • Task outcome breakdown into direct, indirect, and elsewhere
  • Full-scenario completion tracking across multiple tasks
  • Mobile-compatible participant experience
  • Integrated card sorting with tree testing workflow
  • Multiple valid destinations per task
  • Iterative testing with versioned results
  • Complete CSV export of participant-level results
What makes it different
  • 191 product collections with 7,803+ real UI captures, not templates or mockups
  • Designed specifically for coding agents to reference during UI development
  • Free with no limits, accounts, or API keys required
  • MCP server compatibility for seamless agent integration
  • Documented design patterns with measured design guides for each product
  • No credit card required and truly unlimited at no cost
  • Built-in methodological safeguards prevent common research mistakes
  • One-screen setup lets researchers create tests in minutes
  • Mental Model Detection identifies competing ways different user groups organize content
  • AI-assisted participant recruitment with audience targeting
Community votes00
DR (Domain Rating by Ahrefs)Not checked yet no change since last check35 no change since last check
Trust Flow (Majestic)00
Citation Flow (Majestic)1816
Referring domains (Majestic)82

4 details filled in for both companies.

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