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A webhook layer was built to enable AI agents to receive real-time price change notifications instead of polling.
SentinelBench is a new benchmark for testing AI agents in time-evolving web environments. It finds that agents using a specialized change-detection tool outperform those using sleep-and-poll loops, reducing cost by 9.7x.
This article discusses the inefficiency of polling in OpenClaw agents and introduces a plugin that moves event detection outside the agent loop, resulting in significant reductions in source calls and token usage.