Deterministic, auditable payment policy enforcement for AI agents. It provides pre-action authorization with scopes, budgets, allowlists, and signed mandates via an MCP server.
A policy enforcement, audit, and evaluation control plane for LLM agents on payment infrastructure, intercepting tool calls at the MCP boundary to classify, redact, and allow/deny/escalate actions before execution.
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.
An MCP server that provides programmable spend limits and audit trails for AI agents to make payments from a dedicated wallet, preventing overspend and unauthorized transactions.