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DashClaw 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.

DashClaw compared with Foo Guard
DetailDashClaw logo DashClawFoo Guard logo Foo Guard
What it doesAn approval layer for unattended AI agents that halts risky actions for human approval before execution Security scanner for AI agent configurations and MCP tool definitions
StageNot given Not given
FoundedNot given Not given
Based inNot given Not given
Pricing modelFreemium Freemium
PricingSelf-hosted: Free (MIT licensed). Hosted Indie: $49/mo (2 seats, monthly governed-action ceiling, 30-day retention, email support). Hosted Team: $199/mo (10 seats, higher governed-action ceiling, 90-day retention, org-scoped rate limits, priority support). 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
  • Intercepts risky agent actions before execution
  • Works with Claude Code, Codex, Hermes, OpenClaw, and MCP
  • Policy-based risk scoring and decision making
  • Remote approvals from phone or browser
  • Signed audit ledger with replayable records
  • Calibrated interruptions that reduce false positives
  • Enforcement liveness monitoring via synthetic probes
  • Self-hosted (MIT licensed) or managed hosting options
  • Approvals inbox with decision ledger and policies
  • Agent defense documentation with assumptions and shields
  • 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
  • Only approval layer that protects unattended runs that walk away
  • Signed ledger with replayable audit records and explicit signature verification
  • Self-hosted with no infrastructure lock-in or vendor dependency
  • Learns from your approvals to reduce interruptions automatically
  • Honest about enforcement boundaries across different integrations
  • 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)8 +1 (up) since last check8 +1 (up) since last check
Trust Flow (Majestic)33
Citation Flow (Majestic)3021
Referring domains (Majestic)8818

5 details filled in for both companies.

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