ifixai-ai/iFixAi
Independent Auditing of AI Agents. Run by human or the agent itself, to answer the most crucial question in the AI Agent Economy. Is the agent doing what is supposed to do? With iFixAi you can have this answer in less than 120 seconds.
What it solves
iFixAi addresses the gap in AI agent evaluation by moving beyond technical metrics (like latency or token efficiency) to focus on operational assurance and business KPIs. It helps developers identify mistakes, blind spots, and governance failures—such as privilege escalation or unsourced claims—before they cause real-world operational issues.
How it works
The tool acts as an independent auditor that treats an AI agent as a black box. It sends a series of probes (inspections) to the agent and uses an independent "judge" model (from a different vendor to ensure objectivity) to grade the responses. It can be connected to a bare model API or a real deployed agent via an HTTP endpoint.
Who it’s for
It is designed for developers and organizations deploying AI agents who need a citable, objective grade of their agent's reliability, security, and compliance.
Highlights
- Multi-Interface Access: Available as a CLI with a guided wizard, a scriptable tool for CI/CD, or as a plugin/skill for agents like Claude Code, Cursor, and VS Code.
- Five Core Pillars: Grades agents on Fabrication, Manipulation, Deception, Unpredictability, and Opacity.
- Independent Auditing: Supports "citable" runs where a second, independent vendor's model acts as the judge to prevent self-grading bias.
- Flexible Testing: Offers various test suites ranging from a 3-test "smoke" check to a full 50-inspection comprehensive audit.
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