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Humanbound vs Curbi

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

Humanbound compared with Curbi
DetailHumanbound logo HumanboundCurbi logo Curbi
What it doesSecure AI agents, with evidence Check AI agent replies against configured rules and verify signed records
StageNot given Not given
FoundedNot given Not given
Based inGR Not given
Pricing modelFreemium Freemium
PricingCommunity: €0 (open source, 1x monthly testing volume, weekly monitoring, 3 seats, 30-day data retention). Team: €349/mo (20x monthly testing volume, 10 seats, 90-day data retention, webhooks, priority support). Enterprise: Custom pricing (contact for details). Free: local open-source checker, browser policy checks, six read-only MCP tools, regression export and offline verification. Managed Check API: $1 per 1,000 checked replies, USD, monthly usage billing through Stripe.
Key features
  • Automated adversarial testing with multi-turn and agentic attack chains
  • Black-box testing without SDK installation or agent modification
  • Four-tier Humanbound Firewall with LLM judge
  • Continuous posture score from 0 to 100
  • Framework mapping to EU AI Act, NIST AI RMF, OWASP LLM Top 10, OWASP Agentic AI Top 10
  • Air-gapped testing with self-hosted models like Ollama
  • Export compliance evidence in HTML, PDF, JSON, SARIF, CEF formats
  • Webhook integration with SIEM and ticketing systems
  • Apache-2.0 open source CLI, testing engine, and SDK
  • Baseline campaign completion in hours
  • Check agent replies against configured pricing, forbidden phrases, and action records
  • Policy Check tool with browser interface for testing rules
  • Model Context Protocol endpoint for Claude, ChatGPT and other MCP clients
  • Offline verification with signed records and Merkle proofs
  • Repair Lab for reproducing and fixing integration failures
  • Managed Check API with pricing transparency
  • MIT-licensed open-source local checker
  • Framework connectors for LangChain and Vercel AI SDK
  • MCP Chaos proxy for testing agent behavior
What makes it different
  • Continuous monitoring instead of point-in-time reports
  • Adaptive multi-turn attack chains that evolve over time
  • Same open-source code as platform with nothing held back or limited
  • No account required for local open-source testing
  • Framework mapping and compliance evidence for regulatory requirements
  • Verifiable AI agent compliance without authorization or permission granting
  • Evidence and records portable across platforms and models
  • Transparent per-reply pricing with clear usage examples
  • Open-source core with portable verification
Community votes00
DR (Domain Rating by Ahrefs)14 +1 (up) since last checkNot checked yet no change since last check
Trust Flow (Majestic)80
Citation Flow (Majestic)300
Referring domains (Majestic)710

5 details filled in for both companies.

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