SpendPilot is the spend intelligence layer for AI agent fleets. It monitors every API call, routes to the cheapest provider, and optimizes costs autonomously, so your agents stop bleeding money.
Payment infrastructure lets agents transact. But which vendor is cheapest for this request? Is your agent fleet overspending on compute? Could you save 40% by routing SMS through a different provider at 2am?
These are decisions humans make for human spending. SpendPilot makes them for machine spending, in real time, at scale, autonomously.
SpendPilot sits on top of your existing payment rails and makes every transaction smarter.
Every API call is routed to the cheapest provider in real time. Model inference, SMS, compute, storage. SpendPilot compares live pricing and picks the optimal path.
See exactly where every dollar goes across your entire agent fleet. Drill down by agent, provider, task type, or time period. Anomaly detection flags unusual spending instantly.
SpendPilot learns your agents' usage patterns and continuously optimizes. Off-peak routing, reserved capacity arbitrage, vendor negotiation. All autonomous.
Set per-agent, per-provider, and per-task spending limits. Get alerts before overruns happen. Agents never exceed their budget without explicit override.
Built on MCP, x402, and A2A standards. Works with Sapiom, Skyfire, Stripe ACP, or any payment rail your agents already use. Drop-in integration.
Continuously benchmarks provider pricing, uptime, and latency. Automatically migrates workloads when a better option emerges. Your agents always get the best deal.
Today's AI agents can reason, plan, and execute. Tomorrow they'll negotiate contracts, manage vendor relationships, and optimize their own operating costs. SpendPilot is the financial brain that makes autonomous commerce actually work.