Effective decision-making often relies on timely information monitoring, which aims to capture the newest status of the critical information items that are updated in different ways. In this paper, we develop an adaptive agent coordination strategy ACAIM for directing the limited resources (e.g. loading of related servers and computer networks) to the timely identification of important information updates. ACAIM automatically adapts its coordination strategy by observing each agent's performance of finding important information updates. Resource conflicts among agents are resolved by granting more requests from those agents that are expected to find important information updates. We also set up a list of evaluation criteria and experiments to evaluate those coordination strategies designed for timely and resource-bounded information monitoring. The result shows that ACAIM may achieve the more timely identification of important information updates using a controlled amount of system resources.