| What it does | Security scanner for AI agent configurations and MCP tool definitions
| AI agent observability, tracing and evaluation platform
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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 | Freemium
| Freemium
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| Pricing | Free: $0, no account needed. Pro: $19/mo or $190/yr. Team: $57/mo (3-user minimum) or $570/yr, then $19/mo per additional user.
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| Key features | - Browser-based scanning for agent configurations
- CLI for local scans and CI enforcement
- 30+ security checks and secret detection
- OWASP and SOC 2 rule packs
- Gateway runtime enforcement for MCP requests
- GitHub App integration with pull request checks
- Optional AI-powered remediation guidance
- Policy-as-code via .fooguard.yml
| - Trace viewer showing model calls, tool calls, and retrievals
- Cost tracking per step with latency and token counts
- Root cause detection for failures
- Live streaming and replay of agent runs
- Automatic secret redaction before data transmission
- Semantic search across runs and steps
- Support for multiple frameworks and languages
- Evaluations and datasets for quality assessment
- Slack alerts and release gates
- Collaboration and code review tools
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| What makes it different | - Deterministic security rules rather than AI-based scoring
- Pre-deployment configuration analysis without agent execution
- Runtime enforcement via Gateway for supported MCP tool calls
- Audit logging and SIEM streaming for compliance
- Works across browser, CLI, GitHub, and API
| - One-line setup with automatic detection of model and tool calls
- Identifies first failure point instead of surface errors
- Per-step cost visibility with no monthly surprises
- Automatic secret stripping keeps sensitive data local
- No agent code rewriting required
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 13 ▲ +1 (up) since last check | Not checked yet ● no change since last check |
| Trust Flow (Majestic) | 3 | 0 |
| Citation Flow (Majestic) | 21 | 22 |
| Referring domains (Majestic) | 18 | 1 |