Measure autonomous systems by the work they complete.

AgentThroughput combines the defining unit of autonomous software—the agent—with one of infrastructure engineering’s most important performance concepts: throughput. The name shifts attention beyond raw model speed toward the larger question of how many useful agent tasks, tool calls, workflows, transactions, and completed outcomes an infrastructure stack can reliably process over time.

AgentThroughput.com has strong infrastructure language because autonomous systems introduce performance problems extending far beyond model inference alone. Production agent platforms may need to coordinate thousands of simultaneous tasks involving reasoning, tool calls, databases, external APIs, memory, retries, verification, and long-running workflows. AgentThroughput could anchor an agent performance platform, execution scheduler, autonomous workload optimizer, observability company, agent benchmarking system, capacity-management layer, distributed runtime, or infrastructure company focused on maximizing completed intelligent work per unit of time and compute.