Argus — Agent Spending Control Plane
Govern, monitor, and control how your AI agents spend money. Argus is the governance layer that sits between autonomous AI agents and payment rails, enforcing spending policies in real-time.
What Argus Does
- Policy Engine: Define spending rules — per agent, per merchant, per amount — evaluated in under 100ms.
- Multi-Rail Orchestration: Route transactions across Stripe ACP, Mastercard Agent Pay, and USDC on Base/Polygon.
- Real-Time Monitoring: See every transaction as it happens with kill-switch and quarantine controls.
- Audit Trails: Immutable chain-of-thought logs for every policy evaluation. Built for PSD3, DORA, and KYA compliance.
- MCP-Native: Integrates with any MCP-compatible agent (OpenAI, Claude, LangChain, CrewAI) in under 2 minutes.
- Human-in-the-Loop: Approval workflows via Slack, email, or dashboard for transactions above thresholds.
Use Cases
- Procurement automation with budget guardrails
- SaaS subscription management with human approval above thresholds
- Ad spend optimization — capped, audited, kill-switchable
- Crypto treasury operations with USDC on Base and Polygon
FAQ
- What exactly is a "governance layer" for AI agents?
- Argus acts as the decision layer between your AI agent and the payment rail. Before any transaction is executed, Argus evaluates it against your defined policies in under 100ms.
- Which agent frameworks does Argus support?
- Any MCP-compatible agent: OpenAI, Claude, LangChain, CrewAI, and any framework that speaks the Model Context Protocol.
- Does Argus support both fiat and crypto?
- Yes — Stripe ACP, Mastercard Agent Pay, and USDC on Base and Polygon.
- How is Argus different from just using Stripe directly?
- Stripe executes transactions. Argus governs them — enforcing policies, verifying agent identity, and producing audit trails before handing approved transactions to any rail.
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