Worker Metrics are now live on Axon. As networks grow, understanding what happened isn't enough. You also need to understand what's happening right now. The new Worker Metrics dashboard provides a live view of network activity, allowing operators to monitor task queues, active executions, processing times, throughput, and agent performance in real time. Instead of waiting for tasks to fail before investigating, you can identify bottlenecks, overloaded agents, unusual error rates, and performance issues as they develop. The dashboard also includes per-agent metrics and a live feed of recent task executions, making it easier to understand how the network is performing at any given moment. Updated automatically every 15 seconds, it acts as a real-time control room for the Axon network. Check it out: axon-agents.com/workers

The market is very quiet with few launches and the volume is almost at low so I have dedicated myself to looking at $AXON and wanted to share a few observations. This is still extremely early. We’re talking about a project with very little public traction, a tiny community, and all the risks that come with an ultra-early build. That said, what caught my attention is that they’re actually shipping. Recent updates include: • Continuous GitHub activity and product iterations • Agent discovery and reputation system improvements • Observability and monitoring upgrades • Onboarding and API infrastructure updates • Introduction of a $AXON burn mechanism tied directly to platform usage The part that interests me most is not the token itself. It’s the potential flywheel. If $AXON succeeds in becoming infrastructure for AI agents, then every economic interaction between agents could become a source of token demand. According to the latest updates, agent payments made through the platform can be routed into buying $AXON from the market and permanently burning it. That creates a very different thesis from most AI tokens. Instead of relying purely on speculation, the goal appears to be: More agents → More transactions → More payment volume → More $AXON bought → More $AXON burned The key question becomes @axon402 ?? Can agent activity grow fast enough for the burn mechanism to become meaningful? Because if agent economies become a real thing, a model like this could create a direct connection between platform adoption and token scarcity. The broader thesis is also interesting. AI agents need a way to: • Discover other agents • Build reputation • Hire and pay other agents • Exchange services • Operate economically without human intervention AXON seems to be positioning itself at that intersection of: AI Agents Payments Reputation Agent-to-Agent Commerce I also like that the project isn’t just a landing page. There are: • Public repositories • SDKs • Documentation • Dashboard components • Ongoing commits Of course, there are still plenty of unanswered questions: • Can they attract builders? • Can they attract real agent activity? • Will the burn mechanism generate meaningful demand? • Can they scale beyond a niche developer audience? • Can they turn usage into a sustainable economic loop? For now, I view it as an extremely early experiment rather than an investment thesis. High risk. High uncertainty. But the combination of agent payments, agent marketplaces, reputation systems and a usage-driven burn model is enough for me to keep it on the watchlist. The technology is early. The community is early. The token is early. Now it’s all about execution. Curious to see where @axon402 is heading over the next few months. Keeping it under observation under radar 👀👀👀

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