| What it does | Independent auditing for AI agents
| Check AI agent replies against configured rules and verify signed records
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| Stage | Not given
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| Founded | Not given
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| Based in | US
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| Pricing model | Freemium
| Freemium
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| Pricing | Startup: 2 audits/reports per month, up to 3 agents. Growth: 4 audits/reports per month, up to 3 agents. Enterprise: 8 audits/reports per month, up to 3 agents. Agentic Enterprise: custom quote, 4+ agents. Free open-source: 60 inspections, self-hosted.
| Free: local open-source checker, browser policy checks, six read-only MCP tools, regression export and offline verification. Managed Check API: $1 per 1,000 checked replies, USD, monthly usage billing through Stripe.
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| Key features | - Multidimensional audit covering AI red teaming, operational assurance, philosophical, ethical and sociological dimensions
- Tests for prompt injection, policy violation, tool invocation governance, and authorization
- Assesses epistemic integrity, reality grounding, and frankness
- Evaluates fairness governance and vulnerable user care
- Analyzes stakeholder conflict, influence and systemic risk
- Connect through GitHub or MCP with no manual setup required
- Generates audit reports with evidence and proof of agent behavior
- Open-source engine available for self-hosting
- Detects information hiding, unauthorized decision override, and unauthorized actions
| - Check agent replies against configured pricing, forbidden phrases, and action records
- Policy Check tool with browser interface for testing rules
- Model Context Protocol endpoint for Claude, ChatGPT and other MCP clients
- Offline verification with signed records and Merkle proofs
- Repair Lab for reproducing and fixing integration failures
- Managed Check API with pricing transparency
- MIT-licensed open-source local checker
- Framework connectors for LangChain and Vercel AI SDK
- MCP Chaos proxy for testing agent behavior
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| What makes it different | - Truly independent auditing through outside panel judgment, never internal self-inspection
- Off-the-shelf integration with no manual eval harness or SDK embedding required
- Covers five dimensions of trust: purpose, authority, workflows, responsibility and evidence
- Measures beyond performance to identify misalignment across red teaming, operational, philosophical, ethical and sociological categories
| - Verifiable AI agent compliance without authorization or permission granting
- Evidence and records portable across platforms and models
- Transparent per-reply pricing with clear usage examples
- Open-source core with portable verification
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 13 ▲ +1 (up) since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 11 | 0 |
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| Citation Flow (Majestic) | 31 | 0 |
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| Referring domains (Majestic) | 156 | 0 |
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