| What it does | Policy-driven spending controls for AI agents
| Fast AI model for structured decisions with probabilities, no waitlist
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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
| 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.
| Starter plan: $10 one-time with 100,000 credits. Plans range from $10 to $1,000 one-time; monthly and yearly subscriptions also 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
| - Online playground for testing decisions
- REST API with typed schema
- Multiple decision types: choice, score, and noul
- Support for multiple decision models
- Agent integration through Jev Agent Skill
- Probability and confidence scores for decisions
- Support for text and JSON state input
- Batch question processing in one request
- Free playground runs included
- Interactive demos and examples
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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
| - Free online playground with no waitlist
- Low-latency structured decisions paired with LLMs
- Probability-backed decisions for risk-aware automation
- Keeps developer control over data and business rules
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 23 ▲ +1 (up) since last check | 22 ● no change since last check |
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| Trust Flow (Majestic) | 6 | 4 |
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| Citation Flow (Majestic) | 19 | 34 |
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| Referring domains (Majestic) | 12 | 137 |
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ActOnce Spend Gateway
Jev AI