Architecture Integration: LazAI

As part of the Application Layer, Lazpad seamlessly integrates with the LazAI’s other layers to create a holistic ecosystem that ensures AI agents are developed and tokenized with a focus on data sovereignty, privacy protection, value distribution, and asset monetization. By leveraging LazAI’s trusted extension and interaction layer, this integration guarantees that every stage of the AI agent lifecycle - from data ownership confirmation and privacy safeguards to data pricing, value allocation, and agent asset tokenization is transparently managed.

To achieve this, the platform follows a modular architecture that ensures seamless interaction between AI models, datasets, developers, and blockchain infrastructure.

The LazAI Platform Architecture consists of the following layers:

• Application Layer: By combining on-chain verification, decentralized computing, and tokenized AI asset management, the application layer establishes a robust Web3-native AI infrastructure

• Trust and Execution Layer: Powered by LazChain, this layer serves as the core infrastructure for AI asset issuance, circulation, and computation verification.

• Extension Layer: Facilitates external data integration, model provider participation, and advanced AI service expansion to enhance interoperability across Web3.

This comprehensive approach empowers developers and data contributors to retain control, fosters trust within the decentralized ecosystem, and unlocks the full potential of AI agents as tradable digital assets.

Lazpad is natively integrated with the LazAI's agent framework - Alith, meaning every launch on Lazpad benefits from the verifiable, privacy-preserving, and incentive-aligned infrastructure of LazAI.

LazAI's Key Innovation Used by Lazpad:

Alith SDK:

• Developers use Alith to build verifiable agents

• Auto-generates proofs of execution for inference events

iDAO - Individual-centric DAO Framework:

• Creates governance wrappers for each agent or set of agents

• Contributors (data, compute, models) are issued stake tokens

• Enables long-term governance, slashing, and upgrades

Data Anchoring Tokens (DAT):

• Tokens that represent data sets, model weights, or inferences

• Issued at the time of contribution

• Provides monetization and composability

Verified Computing (TEE-first, ZK-optional):

• Every agent execution emits a signed proof

• Optionally re-validated on-chain or challenged using OP-style fraud proofs

The Result:

Lazpad doesn’t just launch AI, it launches agents with proofs, ownership, and value alignment embedded.