OpeClaud Ai
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Pricing

Simple, Transparent Pricing

Free for open source. Paid plans for teams shipping AI-assisted code at scale.

Starter

For individual developers and open-source projects.

Free
  • Up to 3 repos
  • 50 checks/month
  • Public repos only
  • Community support
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Team

For engineering teams shipping AI-assisted code daily.

$19/mo per user
  • Unlimited repos
  • Unlimited checks
  • Private repos
  • Auto-fix suggestions
  • Slack integration
  • Email support
Start Free Trial

Enterprise

For organizations with compliance and scale requirements.

$499/mo
  • Everything in Team
  • Custom playbooks
  • SSO / SAML
  • Audit logs
  • Dedicated support
  • On-premise option
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With vs Without OpeClaud

Without OpeClaud

  • ✗ 43% of AI code fails in production
  • ✗ 38% of dev time spent debugging
  • ✗ 2-3 redeploy cycles per fix
  • ✗ No visibility into AI-code risks
  • ✗ Tribal knowledge for incident response

With OpeClaud

  • ✓ AI bugs caught before deployment
  • ✓ 60% less debugging time
  • ✓ One-click fixes on every PR
  • ✓ Risk scoring across all AI code
  • ✓ Audit trail for compliance
FAQ

Pricing FAQ

We use statistical pattern analysis to identify code patterns characteristic of AI assistants — including token distribution analysis, comment style patterns, and structural signatures that differ from human-written code.
We support Cursor, GitHub Copilot, Claude Code, Amazon Q Developer, and most major AI code assistants. Our detection improves as we train on new models.
Yes. Our Team and Enterprise plans support private repositories. All code is processed securely and never stored beyond the analysis window.
Our detection engine catches approximately 87% of known AI failure patterns based on our benchmark dataset, with a false positive rate under 5%.
Yes. OpeClaud runs as a GitHub Action, GitLab CI job, or standalone CLI. We support all major CI platforms.
Yes. Our Starter plan is free for public repositories and open-source projects with up to 3 repos and 50 checks per month.
43% of AI code fails in production. Don't deploy blind.Start Free Trial →