How do their growth rates compare?

Aptori has a month-over-month growth rate of -64.4%; Equixly has -34.3%.

How does pricing compare?

Aptori: Contact for Pricing. Pricing is not published publicly. Aptori is positioned as an enterprise platform and directs interested teams to book a demo or contact sales for a quote. Equixly: Contact for Pricing. Pricing is custom and quote-based. Equixly scales cost with what you test rather than a fixed annual engagement, and there is no token meter or separate per-test charge. Book a demo or request a quote for details.

What are alternatives to Aptori and Equixly?

Other tools in related categories include Cursor, Devin, KaneAI, Aikido Security, Augment Code.

Aptori vs Equixly — Traffic (914 vs 13.25K), Pricing & Verdict

Open AI Tools

Aptori vs Equixly — Traffic (914 vs 13.25K), Pricing & Verdict | Open AI Tools

Side-by-Side Traffic & Specification Matrix

Dimension / Metric	Aptori	Equixly
Official Domain	aptori.dev	equixly.com
Pricing Model	Contact for Pricing	Contact for Pricing
Monthly Visits	914 (914)	13.25K (13,245)
MoM Traffic Delta	-1.65K (-64.4%)	-6.92K (-34.3%)
Primary Market & Share	🇵🇱 Poland (43.9%)	🇺🇸 United States (30.9%)
Direct Visits / mo	359	5.29K
User Rating	4.3	4.1
Supported Platforms	Website	Website

Aptori

Autonomous, AI-native application security that closes risk end to end

AI SAST

Understands source code, control flow, data flow, authorization and business logic, including AI-generated changes.

Autonomous penetration testing

Controlled agents explore applications, chain requests, switch identities and abuse workflows to prove exploitability.

Semantic runtime validation

Validates how applications and APIs actually behave at runtime, distinguishing real exposure from theoretical risk.

API and business logic security

Tests object-level authorization, workflows and business logic to catch flaws like BOLA and IDOR.

Strengths & Pros

+Unifies SAST, SCA, API security, pentesting and ASPM in one context-aware platform
+Runtime validation reduces false positives by proving real exploitability
+Automated pull requests and retesting push issues through to verified closure
+Compliance evidence is generated continuously rather than as a periodic exercise