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Zof vs Curbi

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

Zof compared with Curbi
DetailZof logo ZofCurbi logo Curbi
What it doesIndependent AI verification and production control layer Check AI agent replies against configured rules and verify signed records
StageNot given Not given
FoundedNot given Not given
Based inNot given Not given
Pricing modelFreemium Freemium
PricingStarter: $166/month ($1,990 billed annually) with 12,000 test runs/month, 3 applications, and validated fixes at $25 each. Team: $833/month ($9,990 billed annually) with 55,000 test runs/month and 10 applications. Business: $2,083/month ($25,000 billed annually) with 165,000 test runs/month, 25 appl 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
  • System Graph mapping of services, dependencies, ownership, and policies
  • Verification Engine with 19 verification domains from unit tests to compliance
  • Continuous verification and change detection
  • Policy-based control and approval workflows
  • Durable evidence and audit trails
  • AI-assisted remediation with outcome-based billing
  • Integration with CI/CD, cloud, and observability tools
  • VPC, private cloud, on-prem, and air-gapped deployment
  • Identity-first with RBAC and SSO
  • Secure Enclave Runner for restricted environments
  • 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
  • Independent verification separates proposing changes from deciding if available evidence is sufficient
  • Model-independent design works with any approved model or deterministic systems alone
  • Outcome-based billing charges only for validated fixes that pass verification
  • Governance by default with explicit approval, audit, and no shared credentials
  • Topology-aware impact analysis using System Graph to recommend validation plans
  • 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)28 no change since last checkNot checked yet no change since last check
Trust Flow (Majestic)50
Citation Flow (Majestic)200
Referring domains (Majestic)620

5 details filled in for both companies.

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