Clad Labs

https://cladlabs.ai
31
Fair
Agent Native Score

Clad Labs provides AI-powered code analysis and security scanning tools for developers. It helps identify vulnerabilities and code quality issues using machine learning models.

Categories: Security · Code Analysis
#40 of 67 in Security · #1 of 3 in Code Analysis
Checklist Breakdown

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Discovery 25%

Can an agent find and understand this tool without a web search?

— Published OpenAPI/Swagger spec
— Has llms.txt or llms-full.txt
— Has an MCP server (official or well-maintained)
— MCP server listed in a public registry
— API reference docs are publicly accessible
— Docs include runnable code examples
— Has a public changelog or release notes
— Has a public status page
Auth & Onboarding Not yet scored

Can an agent create an account and get credentials without human intervention?

— Signup does not require CAPTCHA
— Signup does not require phone verification
— Supports API key auth (not only OAuth)
— API key obtainable without manual approval
— No mandatory billing info to start
— Can sign up without creating an organization
Pricing Not yet scored

Can an agent operate autonomously without upfront payment or contracts?

— Has a free tier
— Usage-based pricing available
— No minimum contract or commitment
— Pricing page is public (no 'contact sales')
— Free tier sufficient for testing (not just a trial)
Agent Tooling Requires account Not yet scored

How well does the API work for non-human consumers?

— SDK available in 2+ languages
— Structured error responses (JSON with error codes)
— Idempotency support on write endpoints
— Pagination on list endpoints
— Webhook/event support
— Sandbox or test mode available
— Rate limit headers in responses
— Consistent REST resource naming
Reliability Requires account 40%

Does the tool fail gracefully when an agent makes a mistake?

— Meaningful error messages (not just 500)
— 429 responses include Retry-After header
— Documented uptime SLA (99.9%+)
— Graceful degradation under rate limits
— Request IDs in responses for debugging
— API versioning supported
Reviewer Notes

Clad Labs lacks essential agent discovery mechanisms—no MCP server, OpenAPI spec, or llms.txt file makes it difficult for agents to understand capabilities programmatically. Account creation requires OAuth2 authentication with no API-based signup option, creating friction for autonomous agent onboarding. The tool appears focused on web UI rather than API-first design, limiting agent tooling maturity. While the free tier and sandbox environment are positive, the absence of structured API documentation and agent integration patterns significantly hinders AI agent compatibility.

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