Quack AI has made a strategic partnership with Zypher Network as it extends Q402 into a verifiable, minimised-trust execution and governance environment of AI agents. The partnership is a combination of the signature-based execution engine of Quack AI and the cryptographic proof infrastructure of Zypher, that seeks to enhance the principles of trust, security and accountability in the new agent economy.
Quack AI × @Zypher_Network
— Quack AI (@QuackAI_AI) January 28, 2026
We’re aligning with Zypher as Q402 expands into verifiable, trust-minimized AI and agent execution environments.
Built around cryptographic proofs and verifiable AI workflows, Zypher’s focus on proving the integrity of agent reasoning and computation… pic.twitter.com/wEZAH9M2la
With the growing percentage of autonomous actions happening onchain, the necessity to verify the results, in addition to the integrity of agent reasoning and computation, proved to be a significant issue. This partnership will enable Q402 and Zypher Network to be complementary layers in tackling this challenge at both execution and verification level.
Q402 and the Agent Execution Layer
Q402 is the implementation and governance layer at Quack AI that is agent economy specific. Significantly designed with the use of signature-based authorization, Q402 allows onchain actions to be authorization-friendly, policy-conscious in action, and is default-verifiable. The system aims at minimizing friction amongst the developers and users, and ensuring high standards of control and accountability.
Representing the intricate authorization processes as a single sign-to-pay model, Q402 enables AI agents to engage with onchain systems to emulate real-life delegation and authorization. This model will make sure that all actions taken by the agents are traceable to explicit approvals, which will be a stronger system of autonomous execution.
Zypher Network’s Role in Verifiable AI
Zypher Network is interested in cryptographic proofs and verifiable AI processes with a particular interest in proving the integrity of agent thought and computing. Zypher has mechanisms, like real-time prompt verification and crowd-sourced agent auditing, that show that an agent makes decisions based on established rules and inputs.
These features deal with one of the main challenges of AI systems: trust. As opposed to using opaque models or offchain guarantees, Zypher supports onchain or cryptographically verifiable evidence that an agent acted according to its intended plans. This renders it a good complement of the execution model of Q402, which imposes the execution of decisions once approved.
Proof Meets Permissioned Execution
Working in collaboration Quack AI and Zypher Network will develop a single pipeline in which the decisions of an agent can be readily validated and implemented. Zypher confirms the credibility of an agent in order to trust their choice, whereas Q402 regulates the performance of the choice onchain. Such separation of concerns enables each layer to specialize making the agent architecture more secure and modular.
The hybrid solution will pave the way to the future in which AI agents will be more autonomous without compromising transparency or safety. The combination of cryptographic proofs systems with authorized execution takes the collaboration beyond unchecked confidence in verifiable guarantees.
Strengthening the Agent Economy
The match-up proceeds with the increasing attention to autonomous agents in the context of decentralized finance, in-game economies, social networks, and automation inside companies. As the responsibility and control of the agents increases over assets and workflows, it becomes a necessity to have this activity authorized and auditable.
Supported by mainstream investors and ecosystem partners, such as Animoca Brands, Skyland Ventures, and Kenetic Capital, Quack AI and Zypher Network are at the center of this shifting stack of infrastructure.
Looking Ahead
Quack AI has also declared that updates will be made in the future as the system advances and the Q402 keeps growing. Such partnerships will probably shape the norms of the management, verification, and implementation of autonomous systems in Web3 as the agent economy continues to grow.