Skip to main content

ModelOp vs Foo Guard

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

ModelOp compared with Foo Guard
DetailModelOp logo ModelOpFoo Guard logo Foo Guard
What it doesEnterprise AI system of record for governing and operationalizing AI at scale Security scanner for AI agent configurations and MCP tool definitions
StageEstablished Not given
Founded2018 Not given
Based inUS Not given
Pricing modelContact for pricing Freemium
PricingNot given 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.
Key features
  • Centralized system of record across every model, solution, and agent
  • Automated workflows with governance embedded by design
  • Full portfolio visibility into cost, tokens, risk and ROI
  • Dynamic interoperability across 50+ technologies
  • Connective automation for IT, business, and AI owners
  • Agentic-powered framework for end-to-end AI lifecycle workflows
  • Operational intelligence across ML, GenAI, agentic and vendor AI
  • Audit-ready evidence mapped to every regulation and policy
  • 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
What makes it different
  • Brings ML, GenAI, and agentic AI to production 10× faster
  • System of record that unifies every AI asset in one place
  • Reduces time from idea to production to weeks at industrial scale
  • Enforces policy and governance at delivery time, not in committee
  • Operates above existing systems without replacing them
  • 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
Community votes00
DR (Domain Rating by Ahrefs)62 no change since last check8 +1 (up) since last check
Trust Flow (Majestic)133
Citation Flow (Majestic)3921
Referring domains (Majestic)57918

4 details filled in for both companies.

More alternatives to ModelOp More alternatives to Foo Guard

Help centre