Token Utility Across Multiple Roles in Full-Stack AI

The value flow of the ChainOpera network aligns with five key aspects of the machine learning workflow. Each flow ensures transparent service fees, contribution recognition, and fair resource allocation, rather than speculative return.

LaunchPad Value Flow (Pink Color)

The ChainOpera platform (hereafter “the platform”) applies a service fee to transactions within the LaunchPad. This includes actions such as creating or deploying agents, and transacting with agent-related tokens. The fee rate is protocol-defined and ensures sustainability of the ecosystem.

Agent API Value Flow (Green Color)

Agents may expose APIs as services. External API calls require usage fees (tokens/points) that reflect the computational workload based on input/output size:

where Ti means the number of tokens of input, To means the number of tokens of output, and Pt means the price of a singular token.

Collected service fees are allocated across contributors:

• A percentage supports LaunchPad operations

• The agent template developer receives a share for enabling agent creation

• MCP providers receive a share for supporting agent template developers

• The agent creator retains the remaining allocation as operational revenue

• The Federated AI platform applies a service fee for model hosting and execution

Model Serving API Value Flow (Orange Color)

When models are served on the Federated AI platform, API usage fees are distributed as follows:

• A portion supports platform operations

• GPU providers are allocated fees corresponding to their compute contributions

• Model providers receive allocation proportional to model type (e.g., open-source models may not accrue allocation, while proprietary models receive a defined share).

Contribution Value Flow (Black Color)

The platform recognizes and allocates contribution credits (points/tokens) to participants such as data contributors, annotators, GPU providers, and model developers. Allocation is tied to measurable contributions, ensuring transparent acknowledgment within the ecosystem.

Model Training Value Flow (Blue Color)

Model developers can access GPUs and data through the platform for training. In such cases, the developer pays service fees in points/tokens, determined by:

• Type and duration of GPUs utilized

• Type and volume of data accessed

The platform labels different types of GPUs (i.e. 4090) and data (i.e. text data of 400 bytes) with prices respectively. The overall fee the model developer would need to pay is calculated as follows:

where Pg(k) means the price of Type k GPU, Ng(k) means the numbers of Type k GPU used in the training, Pd(m) means the price of Type m data, Nd(m) means the numbers of Type m data used in the training. Rg & Rd is the calculation ratio for GPU and data fee, respectively.

The platform applies a defined service fee to such transactions, with the remaining portion allocated to associated data contributors and GPU providers as recognition for their contributions.

Summary of Token Functionality across Roles

Role	Function	Description
AI End-Users	Contribute	Provide, label, or stake data to improve ChainOpera AI.
	Access	Use tokens/points to interact with AI services or subscribe to app-specific offerings.
AI Agent / App Developers	Access Resources	Utilize the Federated AI Platform (Model-as-a-Service, data, compute).
	Recognition	Receive protocol acknowledgment for agents, apps, or datasets they contribute.
AI Resource Providers	Contribute	Supply compute, data, or models to the ecosystem.
	Recognition	Contributions are validated and acknowledged through protocol mechanisms.
Governance (Community & DAO)	Participate	Engage in decision-making, consensus, and protocol coordination.
	Design Input	Help shape mechanisms for data access, liquidity, and loyalty within the ecosystem.
COAI Protocol Mechanism	Sustainability	Service fees support ecosystem maintenance and long-term protocol operations.
	Stability Tools	Automated allocation mechanisms balance supply and demand across the network.
Nodes & Validators	Contribute	Provide verification, compute power, coordination, and encryption services.
	Accountability	Reliability is ensured through transparent validation and accountability mechanisms.

Important Clarification on Token Utility

The ChainOpera token is a functional utility token used solely within the ecosystem for accessing services, recording contributions, and supporting governance. It does not represent equity, ownership, profit rights, or claims on revenues of the ChainOpera or affiliated entities. Token holders should not expect profits, dividends, or appreciation in token value from simply holding tokens. Any benefits derive strictly from active use of the token in the ChainOpera ecosystem (e.g., paying for AI services, contributing resources, participating in governance).