How do their growth rates compare?

aiCode.fail has a month-over-month growth rate of 0%; Beagle Security has -35.8%.

How does pricing compare?

aiCode.fail: Free Trial, Paid. Free tier with limited audits. Paid plans cost about $5/month billed annually (40% saving) or about $9/month month-to-month; both include a 14-day trial and unlimited audits. Beagle Security: Freemium, Free Trial, Paid, Contact for Pricing. Free trial of 14 days with Advanced plan features and one full pentest, no credit card required. After trial, a free plan keeps 1 lite test per month plus SSL and domain expiry monitoring. Paid: Essential $99/month (2 tests/month, 1 concurrent, 5 users), Advanced $299/month (15 tests/month, 4 concurrent, 15 users, API and GraphQL testing, compliance reports), Enterprise custom. Add-ons on Advanced include extra tests at $30 and white-labelled reports at $49.

What are alternatives to aiCode.fail and Beagle Security?

Other tools in related categories include Command Code, Aikido Security, Augment Code, ProjectDiscovery Neo, Katalon.

aiCode.fail vs Beagle Security — Traffic (0 vs 38.31K), Pricing & Verdict

Open AI Tools

aiCode.fail vs Beagle Security — Traffic (0 vs 38.31K), Pricing & Verdict | Open AI Tools

Side-by-Side Traffic & Specification Matrix

Dimension / Metric	aiCode.fail	Beagle Security
Official Domain	aicode.fail	beaglesecurity.com
Pricing Model	Free Trial, Paid	Freemium, Free Trial, Paid, Contact for Pricing
Monthly Visits	0 (0)	38.31K (38,309)
MoM Traffic Delta	0 (0%)	-21.32K (-35.8%)
Primary Market & Share	🌐 Global (—)	🇮🇳 India (15.9%)
Direct Visits / mo	0	8.4K
User Rating	3.9	4.4
Supported Platforms	Website	Website

aiCode.fail

Audit AI-generated code for hallucinations, security flaws and bugs before you ship

Hallucination detection

A dedicated model reviews generated code outside the original chat context, where assistants rarely spot their own mistakes.

Security issue exposure

Audits flag security-relevant patterns such as unsafe handling of input, secrets or dependencies in the reviewed snippet.

Debugging acceleration

Findings point to suspicious logic and likely faults so you can fix problems before they compound in later commits.

Works with all LLMs

The checker is model-agnostic, so output from any AI assistant or coding agent can be audited in the same workspace.

Strengths & Pros

+Specifically targets AI-generated code rather than generic linting
+Reviews code outside the original chat context, which helps surface mistakes assistants overlook
+Works with any programming language and all major LLMs
+Free tier available, with clearly listed paid tiers and a 14-day trial