| What it does | Policy-driven spending controls for AI agents
| Enterprise agentic AI platform helping businesses accelerate outcomes across customer service and employee productivity
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| Stage | Not given
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| Founded | Not given
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| Based in | Not given
| US
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| Pricing model | Freemium
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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.
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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
| - Voice and digital AI agents
- Agent Blueprint Language (ABL™) for defining agent behavior and guardrails
- Autoloop™ optimization engine for continuous agent improvement
- ARCH™ AI solution architect
- StateTrace™ execution path tracking
- AI-native contact center capabilities
- Enterprise Search functionality
- Long-running process agents
- Human-in-the-loop workflows
- Multi-system process automation with audit trails
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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
| - Autoloop™ continuously optimizes agents against goals from build through production
- Purpose-built Agent Blueprint Language for formal agent definition and governance
- StateTrace™ and root cause analysis for identifying performance gaps
- Forward Deployed Engineers enabling production deployment in weeks
- Recognized leader by Gartner, Forrester, and Everest Group
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 21 ● no change since last check | 75 ● no change since last check |
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| Trust Flow (Majestic) | 6 | 20 |
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| Citation Flow (Majestic) | 19 | 30 |
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| Referring domains (Majestic) | 12 | 3072 |
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ActOnce Spend Gateway
Kore.ai