| What it does | Policy-driven spending controls for AI agents
| Turn your team's best AI workflows into approved skills people can use inside the assistants they already have
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| Stage | Not given
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| Founded | Not given
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| Based in | Not given
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| Pricing model | Freemium
| Free trial
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| Pricing | Free: $0/month (open source, self-hosted). Pro: $24/month with hosted dashboard, 3 agents, 1,000 spend checks/month. Team: $99/month with 10 agents, 10,000 checks/month, team approvals. Business: $299/month with unlimited agents and checks.
| Free during public pilot. Paid plans not yet available.
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| Key features | - Policy Engine with YAML configuration for amount limits, merchant allowlists, category blocks, business hours, and duplicate windows
- Duplicate Detection using SQLite to prevent the same purchase twice within a configurable time window
- Human-in-the-Loop approval with Telegram alerts and dashboard queue for purchases exceeding threshold
- MCP-Native integration for OpenClaw, Hermes, and any MCP-compatible agent
- Zero Credential Exposure with no access to cards, tokens, or Stripe credentials
- Local-first architecture with all policy files, logs, and databases stored on your machine
- Dry-run and simulation mode for testing policies before deployment
| - Shared skill catalog with approvals and versioning
- GitHub-backed skills and automatic releases
- Support for Claude, ChatGPT, Cursor, Codex, and Gemini
- Role-based access and audit-ready governance
- Adoption measurement and rollout tracking
- Full version history and one-click rollback
- Skills with context files and scripts
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| What makes it different | - Policy-driven rules that the agent cannot override, unlike prompt-based guardrails
- Zero credential exposure means the gateway never sees payment cards or API keys
- Duplicate detection with SQLite prevents duplicate purchases within a configurable time window
- Native MCP integration works out of the box with OpenClaw, Hermes, Claude Code, and Cursor
| - Non-technical teammates use skills by name without learning prompt engineering
- GitHub as single source of truth for technical teams
- Measure real adoption with joined, connected, and activated metrics
- Versioning and rollback without losing history
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 23 ▲ +1 (up) since last check | Not checked yet ● no change since last check |
| Trust Flow (Majestic) | 6 | 0 |
| Citation Flow (Majestic) | 19 | 19 |
| Referring domains (Majestic) | 12 | 20 |