In the age of AI agents,
API traffic control is essential

Yes. In the course of handling a single user request, an AI agent may chain multiple API calls—search, data lookup, external LLM calls, and more—and retries on failure can further increase request volume. When such large volumes of API requests from AI agents and automated services exceed backend capacity, NetFUNNEL API can manage the excess in a queue and admit only as many as can actually be processed, sequentially. That said, NetFUNNEL API's role is not to identify AI agents or detect malicious bots, but to control the volume and processing order of the API traffic that occurs.

Rate Limiting controls excessive API calls by limiting the number of requests allowed within a given time. Requests beyond the threshold may be restricted or receive a failure response. NetFUNNEL API differs in that it does not immediately discard legitimate requests beyond capacity but holds them in a request queue and admits them sequentially as the system gains processing headroom. So while Rate Limiting focuses on limiting the number of requests, NetFUNNEL API focuses on queuing excess requests and controlling their admission order to match the system's processing capacity.

Yes. NetFUNNEL API can classify requests by grade and set a different processing ratio for each grade, so high-importance API requests are processed first. For example, you can assign high priority to VIP customer requests or core business requests such as payment and reservation, and relatively lower priority to general requests. At the same time, a minimum processing ratio can be given even to lower-priority requests to reduce cases where certain requests are never processed.

Yes. NetFUNNEL API can configure traffic-control policies based not only on a fixed admission rate but also on API response time or metrics such as CPU, memory, and business indicators from external monitoring systems. It can reduce admission when server responses slow down or system load increases, and raise admission again when processing headroom is secured. This reduces the burden of operators manually changing settings for each situation and lets API traffic be managed according to backend state.