| What it does | Structured AI decisions via API and playground
| Policy-driven spending controls for AI agents
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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 | Not given
| Freemium
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| Pricing | Free: 5 successful runs per UTC day after email verification. Starter: $9.90/month for 30M tokens/month. Builder: $19.90/month for 80M tokens/month. Pro: $39.90/month for 200M tokens/month. Scale: $79.90/month for 500M tokens/month. Tokens refresh monthly and do not roll over. One-time token packs a
| 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 | - Choice decision type: select from supplied options
- Score decision type: assign level on defined scale
- Noul decision type: yes/no judgment against criterion
- Decision flows: chain questions on canvas with branching
- Batch processing for CSV, TXT, JSONL files up to 1,000 rows
- Shared account balance across console, batch and API
- Export results as CSV or JSONL
- Failed requests are refunded
- Probabilities included with all answers
| - 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
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| What makes it different | - One API and console for playground, flows, batch and API access
- Only questions on the executed path in flows are billed
- Built on TypeSafe AI's Jev structured decision model
- Test and measure decisions on your own data before production
- Custom decision criteria defined by your own labels and rules
| - 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
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 27 ● no change since last check | 21 ● no change since last check |
| Trust Flow (Majestic) | 9 | 6 |
| Citation Flow (Majestic) | 27 | 19 |
| Referring domains (Majestic) | 79 | 12 |