| What it does | Open-source AI security verification
| Test LLMs on your own tasks before you switch models
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| Stage | Not given
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| Founded | Not given
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| Based in | Not given
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| Pricing model | Open source
| Paid
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| Pricing | Not given
| Standard: $99 one-time for 2 machines, including 1 year of updates. Pro coming soon.
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| Key features | - Scan model and code artifacts offline
- Probe and monitor live endpoints
- Grade recorded application runs
- Diff and compare security runs
- 58 security rules across build and runtime
- Python API for integration
- Custom rule creation with YAML or Python
- Cost estimation before probing
- Optional self-hosted collector
| - Benchmark any OpenRouter model on your own prompts, CSVs or Hugging Face datasets
- Rubric-based scoring by AI judge, by hand, or both
- Cost per answered task with retries and caching
- Time to first token and output tokens per second per call
- Shareable reports in HTML, CSV and JSON formats
- Compare up to three past benchmarks side by side
- Hard spending cap per run
- Fully self-hosted on your machine
- No SDK or code changes required
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| What makes it different | - Fully offline artifact scanning with no telemetry or account required
- Unverified results never marked as clean; handles uncertainty explicitly
- Works with multiple model APIs and MCP servers regardless of model
- Re-grade recorded runs without rerunning the application
| - Tests your own tasks with real data instead of generic benchmarks
- Comes before integration with no SDK or code changes needed
- Reports actual cost per answered task including retries and caching
- Entirely self-hosted with data never leaving your machine
- One shareable report with every answer and judge reasoning
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 2 ● no change since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 2 | 0 |
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| Citation Flow (Majestic) | 21 | 16 |
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| Referring domains (Majestic) | 22 | 3 |
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Guardana
orbench