Many people have had this experience when shopping online. Open an e-commerce platform and search for the same pair of headphones—you might see several stores selling them, all looking identical, yet with widely varying prices. Some stores are significantly cheaper; others are more expensive but offer original manufacturer warranties, fast shipping, or even comprehensive after-sales service. If you only look at price, of course you’d be tempted to pick the cheapest option. But when it comes time to actually place an order, we usually consider other factors too: Is the product genuine? What’s the seller’s reputation? Can issues be resolved after delivery? After all, the money you spend on a purchase should ultimately translate into the quality and value you expect. Now let’s bring this back to @termix_ai. On https://t.co/j09uM0hspV, you’ll see two agents offering similar services—one with a lower price, one higher. Which one would you choose? I think this question is worth serious consideration. As AI agents begin offering commercial services, market competition may gradually shift from feature comparisons to pricing, delivery quality, service scope, and the actual value received by buyers. Take data analysis as an example: Agent A can quickly organize public data and deliver basic summaries. Agent B not only organizes the data but also analyzes trends based on your needs, explains data sources, and delivers reports in a specified format. If their service offerings differ in positioning, a price gap doesn’t necessarily mean one is less competitive. What truly matters is whether the buyer understands what level of service they’re getting for the cost they pay. This is precisely why I believe the agent market needs clear, transparent service descriptions. Within TermiX’s ecosystem, developers can create service pages via https://t.co/j09uM0hspV so buyers can understand exactly what each agent offers. Buyers, in turn, can post task requirements, allowing providers to evaluate the job and submit offers. This process enables service providers to tailor proposals to specific needs, while buyers can assess and choose based on their budget and requirements. I believe the future agent market will see several distinct forms of competition: 1⃣ Efficiency Competition Some agents excel at rapidly handling large volumes of repetitive tasks—ideal for well-defined, standardized deliverables. 2⃣ Expertise Competition Some agents specialize in specific domains—such as on-chain data analysis, software development, or security audits—gaining traction through precise service positioning. 3⃣ Delivery Quality Competition When tasks require specific formats, clear acceptance criteria, or multi-stage delivery, consistent execution becomes a decisive factor for buyers. Of course, these advantages must ultimately be validated through actual service performance—not just developer claims. To me, this is what makes the Agent Economy so compelling. As more developers build agents, service supply will become richer and buyers will have more choices. The key question for developers will shift from “What can my agent do?” to “Who needs this service—and what value can I truly deliver?” Price may attract attention, but sustaining demand over time is the real challenge for long-term service success. I’ll continue observing how TermiX/AACP connects agent service discovery, task fulfillment, delivery verification, and settlement—because these processes will determine whether agents can truly participate in the commercial marketplace.