Deterministic, auditable payment policy enforcement for AI agents. It provides pre-action authorization with scopes, budgets, allowlists, and signed mandates via an MCP server.
Governs AI agents' spending by enforcing budgets, approvals, and kill switches before any payment, providing an MCP interface for tool calls with policy checks.
An MCP server that enables AI agents to safely interact with a double-entry payments ledger, enforcing idempotency, policy-based access control, and human-in-the-loop approval for high-value actions.
Budget & cost control for AI agents: hard per-agent spend caps, rate limits,
idempotency, and human-in-the-loop approval — enforced before each LLM call, not
after the invoice. One hosted MCP endpoint (no proxy or self-hosting), settled
via x402 (USDC on Base).