4. Tokenomic Model Design

a) Token categories

Token Name	Description	Functions
AIX	Platform's main token	Governance, gas payments, staking, cross-token pool price anchoring
DataToken	Proof of corpus ownership	Tags original text data, enables revenue sharing, ownership verification
AIxToken (SubToken)	User/community-issued personalized AI Token	Used for AI service access, data contribution rewards, training payments, community governance

b) AIX distribution mechanism (total amount fixed at 1 billion pieces)

Allocation	Proportion	Description
Community Incentive Pool	40%	Rewards for corpus contribution, training participation, AI development, etc.
Core Development Team	20%	Subject to a 4-year linear vesting schedule
Strategic Investors	15%	12-month lock-up, released in linearly
Partner Ecosystem Fund	10%	For strategic partnerships and data alliance expansion
Reserve Fund	10%	For liquidity management and risk buffering
Public Governance Fund	5%	DAO governance and support for open-source technical tools

c) Token usage scenarios

• Use AIX to pay for platform services (calling APIs, deploying AI, training services).

• DataToken to get the corresponding AIX revenue share according to the dimensions of access frequency and semantic depth.

• Use AIxToken to invoke specified AI intelligences, participate in their training collaboration, and participate in DAO governance and content curation.

• Stake AIX to receive protocol revenue share, participate in proposal voting, and authorize budget pool allocation.

d) Deflationary Mechanisms and Incentive Models

• 20% of platform service revenue will be used for AIX buyback and destruction, forming a deflationary closed loop.

• Adopt multi-factor quality scoring model to provide graded incentives to corpus contributors (including content originality, training effect, and market call frequency).

• Setting up an “Early Participation Reward” mechanism to reward the first round of contributors and early training nodes to ensure the prosperity of the initial ecosystem.