Enforces spend policies on Razorpay MCP tool calls by applying per-agent spend caps, category allowlists, and approval thresholds, with a tamper-evident audit ledger.
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.
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.
Enforces fine-grained, context-aware access control on MCP tool calls, with a tamper-evident, replayable audit log that records denials and verifies every decision.