| What it does | Independent auditing for AI agents
| Make your site work for agents
|
|---|
| Stage | Not given
| Not given
|
|---|
| Founded | Not given
| Not given
|
|---|
| Based in | US
| US
|
|---|
| Pricing model | Freemium
| Free
|
|---|
| 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.
| Not given
|
|---|
| 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
| - Automated and live agent simulations
- Journey - agent task recording
- Terminal-based audit tool
- Four-layer scoring system
- Real agent simulations from multiple platforms
- MCP server scoring
- Web research and registry checks
- Agent readiness research and monitoring
- API access with no authentication required
|
|---|
| 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
| - First standard measuring how well agents can use websites
- Tests with real agents from ChatGPT, Claude, and other platforms
- Founded by creators of agent standards at Anthropic and OpenAI
- Open standard with industry partnerships
- Public research on web agent readiness
|
| Community votes | 0 | 2 |
| DR (Domain Rating by Ahrefs) | 13 ▼ −1 (down) since last check | 59 ● no change since last check |
| Trust Flow (Majestic) | 11 | 22 |
| Citation Flow (Majestic) | 31 | 46 |
| Referring domains (Majestic) | 156 | 811 |