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Foo Guard vs AgentStats

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Foo Guard compared with AgentStats
DetailFoo Guard logo Foo GuardAgentStats logo AgentStats
What it doesSecurity scanner for AI agent configurations and MCP tool definitions See which AI agents use your product, where they fail, and what to fix
StageNot given Startup
FoundedNot given Not given
Based inNot given Not given
Pricing modelFreemium Free trial
PricingFree: $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. Free trial for 14 days. Starter: $15/month (2 projects, 50k events/month, 30-day retention). Growth: $49/month (5 projects, 500k events/month, 90-day retention, up to 5 team members). Scale: $149/month (25 projects, 5M events/month, 1-year retention, unlimited team members).
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
  • Monitor AI crawlers, website agents, MCP clients, APIs and CLIs
  • Real-time dashboard showing tool calls, errors, latency and client details
  • AI visibility: track what ChatGPT, Claude and Gemini say about your product
  • MCP server integration for agents to query your analytics data
  • SDKs for TypeScript, Python, Go, Rust, C#, Java, Swift and browsers
  • Identifies silent agent failures hidden from logs and APM
  • Never blocks request paths with background worker batching
  • Weekly or daily AI reviews depending on plan
  • Funnels, conversions and email alerts
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
  • Only platform showing silent agent failures that return 200 OK status codes
  • Covers six distinct data sources in one dashboard instead of scattered logs
  • Agents can access dashboard via MCP server to self-fix their failures
  • Installation takes five minutes with background worker approach never blocking request paths
  • AI visibility shows what AI models actually say about your product with claim verification
Community votes00
DR (Domain Rating by Ahrefs)13 +1 (up) since last checkNot checked yet no change since last check
Trust Flow (Majestic)30
Citation Flow (Majestic)210
Referring domains (Majestic)180

5 details filled in for both companies.

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