Lattice Ops 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.

Lattice Ops compared with Foo Guard
Detail	Lattice Ops	Foo Guard
What it does	Agentic operations platform for digital marketing with automated workflows, knowledge bases, and predictive optimization	Security scanner for AI agent configurations and MCP tool definitions
Stage	MVP	Not given
Founded	Not given	Not given
Based in	Not given	Not given
Pricing model	Freemium	Freemium
Pricing	Agency plan: $5,000 per month (free during private beta for 10 agencies). Includes 368,000 credits per month, unlimited seats and clients. Free tools available without account or payment.	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	AI specialists with custom roles and knowledge bases Compartmentalized living RAG knowledge bases Visual workflow builder with triggers, nodes, and logic Predictive CRO test generation and simulation Multi-model orchestration across Anthropic, OpenAI, Google, and Groq Image and video generation from brand knowledge Chrome plugin to capture web content Per-run cost tracking and usage dashboard Workflow export and import as JSON	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	Built specifically for marketing teams with first-class CRO, SEO, and content workflows Model-neutral platform supporting multiple LLM providers without vendor lock-in Knowledge that compounds and grows with use instead of resetting each session Cost transparency with per-run estimates and usage dashboards by model and user Full data ownership with compartmentalized storage and export capability	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 votes	0	0
DR (Domain Rating by Ahrefs)	10 no change since last check	8 +1 (up) since last check
Trust Flow (Majestic)	0	3
Citation Flow (Majestic)	14	21
Referring domains (Majestic)	1	18

5 details filled in for both companies.

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