How do their growth rates compare?

Leadbay has a month-over-month growth rate of -71.8%; Rox has -25.6%.

How does pricing compare?

Leadbay: Freemium, Paid, Contact for Pricing, Free. Leadbay publishes a free tier (around 5 qualified leads per week, no credit card required), a More plan at about $100 per user per month for roughly 50 qualified leads weekly, a Much more plan around $400 per user per month for about 300 leads, and a custom enterprise tier with forward-deployed engineering support. Rox: Freemium, Paid, Contact for Pricing. Freemium/trial with paid tiers. Individual starts at about $100/month; Teams starts at about $255/month for the whole team with unlimited seats, CRM sync and writeback; Enterprise is contact-for-pricing with data warehouse sync, SSO/SAML/SCIM and dedicated support. Consumption is metered in 'Agent Actions', and unused actions do not roll over.

What are alternatives to Leadbay and Rox?

Other tools in related categories include Salesforce Agentforce (formerly Einstein), Instantly, Clay, Outreach, Smartlead.

Leadbay vs Rox — Traffic (751 vs 60.54K), Pricing & Verdict

Open AI Tools

Leadbay vs Rox — Traffic (751 vs 60.54K), Pricing & Verdict | Open AI Tools

Side-by-Side Traffic & Specification Matrix

Dimension / Metric	Leadbay	Rox
Official Domain	leadbay.ai	rox.com
Pricing Model	Freemium, Paid, Contact for Pricing, Free	Freemium, Paid, Contact for Pricing
Monthly Visits	751 (751)	60.54K (60,539)
MoM Traffic Delta	-1.91K (-71.8%)	-20.79K (-25.6%)
Primary Market & Share	🇫🇷 France (100%)	🇺🇸 United States (61.9%)
Direct Visits / mo	304	27.48K
User Rating	4.1	4.4
Supported Platforms	Website	Website

Leadbay

AI-qualified B2B leads, delivered into your agents

Model trained on your won/lost deals

Upload historical outcomes and Leadbay extrapolates what your best customers look like, then hunts for lookalike accounts and contacts in under-served markets.

MCP workspace for AI agents

Qualification tools and a native UI component library run inside Claude, ChatGPT and Copilot, so assistants can find and rank leads in the tools your team already uses.

Self-improving qualification loop

Every like, dislike and outreach action feeds back into the model, so recommendations sharpen as your team uses it.

Contact data included

Qualified leads arrive with people, phone numbers and email addresses attached, reducing the enrichment step before outreach.