api-usage VS ApyGuard
Compare api-usage VS ApyGuard and see what are their differences
A unified, OpenAI-compatible gateway to every major LLM provider. One endpoint, one key, one bill - with automatic routing and failover.
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api-usage
ApyGuard
Akto
Metlo API Security
Pynt.io
ApyGuard is a developer-first API security testing platform that finds vulnerabilities and authorization flaws before they reach production.
Most teams don't have an accurate picture of the APIs their applications actually expose. OpenAPI files go stale, and AI coding assistants (Copilot, Cursor, Claude Code) generate endpoints faster than anyone documents them. Traffic-based security tools only see APIs that are already deployed โ ApyGuard starts from the source code, so it catches issues before exposure, not after.
How it works:
Ships with your pipeline: CI/CD security gates for GitHub Actions, GitLab CI, CircleCI, and Azure DevOps. Integrations with GitHub, GitLab, Jenkins, Postman. Findings map to OWASP, GDPR, and PCI DSS requirements to support compliance reporting. On-premise deployment available.
Start free in the editor: APIScout, our free VS Code extension (also on Open VSX for Cursor and Windsurf), discovers endpoints and generates OpenAPI specs entirely locally โ no code leaves your machine, no account required.
Transparent pricing: self-serve plans from $129/month, seven-day free trial, no credit card, no sales call. Built for startups and SMB teams shipping APIs without a dedicated AppSec department.
ApyGuardApyGuard's answer:
ApyGuard starts from source code, not traffic. Most API security platforms watch production traffic to discover APIs โ which means they can only see endpoints that are already deployed and receiving requests. ApyGuard discovers endpoints directly from the codebase, generates OpenAPI documentation from what it finds, and tests for OWASP API Top 10 issues โ especially authorization flaws like BOLA and BFLA โ before the code ships. It also comes with APIScout, a free VS Code extension (also on Open VSX for Cursor and Windsurf) that runs endpoint discovery entirely locally, so no code ever leaves the developer's machine. And unlike most of the category, pricing is public and self-serve, starting at $129/month.
ApyGuard's answer:
It depends on your situation, honestly. If you're an enterprise with a security operations team and a six-figure budget, traffic-based platforms are mature options. ApyGuard is built for the teams those platforms don't serve: startups and SMBs that ship APIs every week without a dedicated AppSec department. Compared to spec-first tools, ApyGuard doesn't require you to already have an OpenAPI file โ it generates one from your code. Compared to traffic-based tools, it tests pre-production instead of after exposure. Compared to per-endpoint enterprise pricing, it starts at $129/month with a seven-day trial, no credit card and no sales call. You can find out what your API actually exposes the same day you sign up.
ApyGuard's answer:
Backend developers, DevSecOps engineers, and engineering leaders at startups and small-to-mid-sized technology companies โ typically SaaS, fintech, e-commerce, and healthcare teams. A fast-growing part of our audience is teams building with AI assistants like Copilot, Cursor, and Claude Code, who need to know exactly which endpoints their AI-assisted codebase actually exposes.
ApyGuard's answer:
The recurring problem: teams almost never had an accurate picture of the APIs their applications exposed. OpenAPI files went stale, undocumented endpoints shipped every sprint, and the tools that could help were priced and designed for large enterprises. AI coding assistants made the gap worse - code ships faster than anyone documents or reviews it. ApyGuard was built to close that gap from the source code side: discover what's really there, document it automatically, and test it before production - at a price a startup can actually pay.
ApyGuard's answer:
Python (static analysis and scanning engine) TypeScript (web application and VS Code extension)