---
title: "FLock.io Launches FOMO Reward Season 1 with New Incentive Mechanism"
type: "News"
locale: "en"
url: "https://longbridge.com/en/news/286547112.md"
description: "FLock.io has launched FOMO Reward Season 1, introducing a new incentive mechanism that connects AI inference usage, model token staking, and FLOCK distribution. Users can earn rewards by utilizing the FLock API and staking model tokens, which increases their weight in reward pools. This shift from airdrop to usage-based rewards is driven by real AI demand, intensifying competition for FLOCK rewards as third-party model tokens contribute real workloads. Early participants can establish positions for future reward cycles."
datetime: "2026-05-15T10:13:36.000Z"
locales:
  - [zh-CN](https://longbridge.com/zh-CN/news/286547112.md)
  - [en](https://longbridge.com/en/news/286547112.md)
  - [zh-HK](https://longbridge.com/zh-HK/news/286547112.md)
---

# FLock.io Launches FOMO Reward Season 1 with New Incentive Mechanism

Decentralized privacy AI platform FLock.io has introduced FOMO Reward Season 1, with rewards now available for collection. According to Foresight News, the new mechanism connects AI inference usage, model token staking, and FLOCK incentive distribution, creating an on-chain incentive loop driven by real usage. During FOMO Reward Season 1, users can participate in model token reward distribution by incurring real usage costs through the FLock API platform. The more a user utilizes a specific model, the higher their weight in that model's reward pool. Additionally, users can stake the model tokens they use to increase their reward weight, further earning FLOCK release rewards and model token incentives. This mechanism integrates AI inference usage into the on-chain incentive system. Users generate real usage costs by calling APIs, creating demand for corresponding model tokens. Staking the used model tokens can enhance reward weight, while holding gmFLOCK provides a global boost across models, amplifying incentive capture in the model economy. FLock.io states that this mechanism shifts FLOCK incentives from simple airdrop distribution to usage-based rewards supported by real AI demand. As OpenClaw, Hermes Agent, and other third-party model tokens bring real AI workloads, competition for FLOCK reward cycles will intensify. For early participants, the current phase offers a window to establish positions in API usage, model token staking, and gmFLOCK boosts, with early participation weights expected to grow in subsequent reward cycles.

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