As the testnet surpasses 1 billion agent calls, a look at $KITE ’s non-inflationary value-capture model through the ecosystem
In the intersection of AI and crypto, market participants often lump together projects operating at different layers. Looking at decentralized AI in more detail, networks such as Bittensor primarily address the “supply market for AI models and computing power,” while @KITE AI 中文 is focused on the complementary half of the landscape: enabling AI models to operate as independent agents that can exchange value and settle transactions securely and at high frequency.
This clear positioning is backed by solid fundamentals: Kite set a record during its testnet phase, with more than 1 billion AI agent calls, 504 million transactions, and 74 million unique addresses. As it enters its mainnet cycle, developer initiatives such as the one launched in collaboration with Ankr Forge, along with the steady emergence of modular apps in the Agent App Store, continue to validate genuine developer demand for this Avalanche sovereign-subnet L1. Of particular interest to fundamental researchers is $KITE ’s structural innovation in tokenomics. In the past, most Layer 1 blockchains have relied on sustained, high-inflation token emissions to subsidize nodes, continually diluting the holdings of long-term token holders. Kite, by contrast, has designed a non-inflationary value loop driven by real protocol revenue. With the total supply fixed, $KITE is used not only for machine-native payments and settlements, network node staking and security, and modular governance, but—more importantly—as AI agents in the ecosystem call APIs, make micropayments, and generate revenue from commercial services, the real income they create on the network flows directly back into value for $KITE . This deeply ties network usage to the token’s fundamentals. When assessing the long-term viability of an AI-native blockchain, which is the more critical factor: developer ecosystem stickiness or the flywheel that converts token revenue? #KiteBBW
In the intersection of AI and crypto, market participants often lump together projects operating at different layers. Looking at decentralized AI in more detail, networks such as Bittensor primarily address the “supply market for AI models and computing power,” while @KITE AI 中文 is focused on the complementary half of the landscape: enabling AI models to operate as independent agents that can exchange value and settle transactions securely and at high frequency.
This clear positioning is backed by solid fundamentals: Kite set a record during its testnet phase, with more than 1 billion AI agent calls, 504 million transactions, and 74 million unique addresses. As it enters its mainnet cycle, developer initiatives such as the one launched in collaboration with Ankr Forge, along with the steady emergence of modular apps in the Agent App Store, continue to validate genuine developer demand for this Avalanche sovereign-subnet L1. Of particular interest to fundamental researchers is $KITE ’s structural innovation in tokenomics. In the past, most Layer 1 blockchains have relied on sustained, high-inflation token emissions to subsidize nodes, continually diluting the holdings of long-term token holders. Kite, by contrast, has designed a non-inflationary value loop driven by real protocol revenue. With the total supply fixed, $KITE is used not only for machine-native payments and settlements, network node staking and security, and modular governance, but—more importantly—as AI agents in the ecosystem call APIs, make micropayments, and generate revenue from commercial services, the real income they create on the network flows directly back into value for $KITE . This deeply ties network usage to the token’s fundamentals. When assessing the long-term viability of an AI-native blockchain, which is the more critical factor: developer ecosystem stickiness or the flywheel that converts token revenue? #KiteBBW