What is iFixAi?
Independent auditing for AI agents - the Michelin Guide for agentic trust iFixAi’s argument lands immediately: your agent can pass every eval and still put your business at risk.
Why we recommend it
iFixAi audits the thing evals miss: not whether your agent completed the task, but whether it hid information, overrode decisions or acted outside its authority along the way - 64+ misalignment categories, an independent outside panel, and a free open-source engine to start with.
Best for
- Teams deploying AI agents with real authority over money
- data or customers
- engineering leads who need audit evidence they can defend
- and enterprises that want agent governance without building an eval harness.
Key features
Audits span prompt injection, insubordination, tool invocation governance, epistemic integrity, fairness and more - from red teaming to…
Purpose, authority, workflows, responsibility and evidence - does the agent do its job, stay in its permissions, follow…
Connect via GitHub (it reads the code and builds the simulation) or paste one MCP prompt into Claude…
The audit runs your agent in a simulation built from its own code - nothing to build or…
Audits are judged by an external panel - never internal self-inspection or self-scoring, per the vendor.
Pros
- Attacks the right problem: agent authority and honesty, not just task accuracy.
- Deep taxonomy - 64+ misalignment categories across technical, ethical and sociological groups.
- Genuinely free open-source engine (Apache 2.0) with strong GitHub traction.
- Zero-friction connection: GitHub or one MCP prompt, no eval harness to build.
- Independent outside-panel judging rather than vendor self-scoring.
Cons
- No published SaaS pricing - only inspection volumes; sales conversation required for numbers.
- Young vendor with no named company, team or about page on the site.
- Point-in-time audits, not continuous monitoring or runtime guardrails.
- Audit quality is unproven until you run one - public case studies are absent.
- Self-hosted free tier needs your own model keys and ops effort.