| What it does | Policy-driven spending controls for AI agents
| One shared workspace for all your AI teammates
|
|---|
| Stage | Not given
| Not given
|
|---|
| Founded | Not given
| Not given
|
|---|
| Based in | Not given
| Not given
|
|---|
| Pricing model | Freemium
| Freemium
|
|---|
| 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 trial: $100 in credits, no credit card required. Plus: $30/user/month with $30 usage included. Pro: $100/user/month or $200/user/month with corresponding usage included, each with pay-as-you-go beyond included usage.
|
|---|
| 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
| - Browser automation and computer control
- Agentic apps built automatically without coding
- Integration with frontier AI models from multiple providers
- Works across team communication channels like Slack, Email, and Telegram
- Media generation with 300+ image, video and audio models
- Autonomous 24/7 cloud execution
- Pre-built agent templates for sales, operations, marketing and support
- Sandboxed agent execution with permission controls
- Comprehensive audit logging of all agent actions
- Open source and self-hostable under MIT license
|
|---|
| 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
| - No coding required to create and deploy agents
- Shared team workspace for managing multiple AI agents together
- Built-in safety and security with sandboxed execution and full audit trails
- Agents run autonomously 24/7 in the cloud with scheduled and event-based triggers
- Open source with option to self-host on your own infrastructure
|
|---|
| Community votes | 0 | 0 |
|---|
| DR (Domain Rating by Ahrefs) | 21 ● no change since last check | 51 ● no change since last check |
|---|
| Trust Flow (Majestic) | 6 | 11 |
|---|
| Citation Flow (Majestic) | 19 | 33 |
|---|
| Referring domains (Majestic) | 12 | 152 |
|---|
ActOnce Spend Gateway
Gamut