01Prompt Quality Analysis: Score, improve, and lint AI prompts for better performance.
02AI Spend Management: Calculate and optimize AI costs across various vendors with unified reports.
03MCP Server Security Auditing: Score server configurations based on permissions, data sensitivity, and blast radius.
04AI Environment Scanning: Discover IDE extensions, MCP servers, agent frameworks, API keys, and local models.
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06LLM-as-Judge Evaluation: Evaluate agent outputs using structured rubrics for agent workflow analysis.