Analyze your AI agent spending and find optimization opportunities. Compare your costs to industry benchmarks and get concrete savings recommendations.
Whether you are exploring tools, comparing solutions, or evaluating specific features, the central challenge remains the same: autonomous AI agents can initiate financial transactions, and without real-time enforcement, those transactions can escape human oversight in milliseconds. A policy that is not enforced before the transaction executes is not a control — it is a hope.
Production teams that deploy active spend enforcement report 60-80% fewer cost incidents and recover from anomalies in minutes rather than days. The mechanism is straightforward: every transaction runs through a policy check that returns one of three decisions, and the agent acts on that decision before the money moves. No dashboard-watching, no after-the-fact reconciliation, no "we caught it on the next billing cycle."
sipi.bot enforces all four control dimensions — per-transaction limits, daily ceilings, velocity caps, and merchant allowlists — in under 5 milliseconds per evaluation. Pricing starts at $99/month for unlimited evaluations. Deploy in under an hour: define your policy, wrap your agent's spend functions, and run the three test scenarios (APPROVED, BLOCKED, FLAGGED) before going to production.