New Version, Worth Being Seen! #GateAPPRefreshExperience
🎁 Gate APP has been updated to the latest version v8.0.5. Share your authentic experience on Gate Square for a chance to win Gate-exclusive Christmas gift boxes and position experience vouchers.
How to Participate:
1. Download and update the Gate APP to version v8.0.5
2. Publish a post on Gate Square and include the hashtag: #GateAPPRefreshExperience
3. Share your real experience with the new version, such as:
Key new features and optimizations
App smoothness and UI/UX changes
Improvements in trading or market data experience
Your fa
Projects in the market love to boast—daily active users in the tens of thousands, trading volumes in the billions, these numbers are everywhere. But a closer look reveals that many are just playing themselves, creating false prosperity through fake activity. The true test of a project's vitality is simple—actual usage and a continuously growing user base.
Recently, an AI oracle project announced some data: on December 29th, they recorded 2 million calls and 2 million data validations. At first glance, it doesn't seem that impressive, but digging deeper makes it interesting.
These 2 million calls weren't just made up out of thin air. Their OaaS service was just launching—Base went live on December 26th, BNB Chain on the 28th, Solana on the 30th. In other words, these 2 million calls were accumulated over just one or two months. Averaged daily, that's tens of thousands to hundreds of thousands of calls. For an early-stage oracle project, this usage density is already quite significant.
But what's even more valuable isn't just this number—it's who is using it. The project clearly states that over 100 AI agents are continuously calling their service. This logic is worth pondering.
AI agents calling the oracle isn't just for fun. They need data to make decisions—trading, risk assessment, position management—all involving real money. If the data is inaccurate or delayed, the AI's decisions will be wrong, leading directly to losses. Therefore, AI agents demand extremely high data quality—not just high, but very high.
Having over 100 AI agents consistently using the same oracle service indicates what? It shows that the project's data is indeed reliable. This isn't just a marketing story; it's a market vote with real feet. Each call by these AI agents is a real-money test of whether the oracle is trustworthy. If it fails, they'll switch to another.
Compared to projects that desperately showcase daily active users or trading volume, this kind of real-world usage scenario is more convincing. Because anyone can talk about numbers, but projects that are long-term used by professional users—including high-demand users like AI agents—say everything.