How do their growth rates compare?

Leadbay has a month-over-month growth rate of -71.8%; Origami.chat has -21.2%.

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. Origami.chat: Free Trial, Paid. Origami lists a Starter plan at $99 per month covering over 1,000 researched and verified leads, with unlimited teammates and no per-seat fees. A custom Teams plan adds more leads, sending volume and separate workspaces per team or market.

What are alternatives to Leadbay and Origami.chat?

Other tools in related categories include Instantly, Clay, Smartlead, Success.ai, Copy.ai.

Leadbay vs Origami.chat — Traffic (751 vs 119.3K), Pricing & Verdict

Open AI Tools

Leadbay vs Origami.chat — Traffic (751 vs 119.3K), Pricing & Verdict | Open AI Tools

Side-by-Side Traffic & Specification Matrix

Dimension / Metric	Leadbay	Origami.chat
Official Domain	leadbay.ai	origami.chat
Pricing Model	Freemium, Paid, Contact for Pricing, Free	Free Trial, Paid
Monthly Visits	751 (751)	119.3K (119,300)
MoM Traffic Delta	-1.91K (-71.8%)	-32.03K (-21.2%)
Primary Market & Share	🇫🇷 France (100%)	🇺🇸 United States (53.1%)
Direct Visits / mo	304	70.05K
User Rating	4.1	4.1
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.