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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 sup
open-sourceobservability-evaluation
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Commits (90d)
10
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+4.3k (33.3%)estimated from velocity
Overview
iFixAi runs diagnostic audits on AI agents across five pillars, producing A-F grades and scorecards in under 120 seconds. It offers CLI, scripted, and plugin-based execution methods to test agents against business KPIs and organizational requirements.
Deep Analysis
Key Differentiator
Focuses on whether agents are doing their intended job based on business KPIs rather than just technical capabilities like token efficiency or latency.
⚡ Capabilities
- • agent auditing and scoring
- • multi-pillar inspection
- • A-F grading with scorecards
- • CLI and plugin execution
- • configurable test suites
🔗 Integrations
OpenAIAnthropicGeminiClaude CodeCursorVS Codeother agent environments
✓ Best For
- ✓ verifying agent performance against business requirements
- ✓ fast diagnostic audits
- ✓ team onboarding and repeatable testing
- ✓ CI/CD automation of agent evaluation
✗ Not Ideal For
- ✗ end-user AI applications
- ✗ generic chatbot testing
- ✗ non-agent AI systems
⚠ Known Limitations
- ⚠ Requires agent access or endpoint
- ⚠ Focuses on functional auditing rather than technical metrics
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Works with iFixAi
Tools that integrate with iFixAi, often used together in the same stack.
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