Quack AI has entered into a strategic partnership with Zypher Network in expanding Q402 into a verifiable, minimized trust execution and governance environment of AI agents. The partnership is a combination of Quack AI’s signature-based execution engine and Zypher’s cryptographic proof infrastructure, which aims to advance the principles of trust, security and accountability in the new agent economy.
Quack AI × @Zypher_Network
We join Zypher as Q402 expands into verifiable, trust-minimized AI and agent execution environments.
Built around cryptographic proofs and verifiable AI workflows, Zypher focuses on proving the integrity of agents’ reasoning and computation… pic.twitter.com/wEZAH9M2la
— Quack AI (@QuackAI_AI) January 28, 2026
With the growing percentage of autonomous actions taking place on-chain, the need to verify results, in addition to the integrity of agents’ reasoning and computation, proved to be a significant problem. This collaboration allows Q402 and Zypher Network to be complementary layers in addressing this challenge at both the execution and verification levels.
Q402 and the agent execution layer
Q402 is the implementation and management layer at Quack AI that is specific to the agent economy. Q402 is significantly designed with the use of signature-based authorization, allowing onchain actions to be authorization-friendly, policy-aware in action, and verifiable by default. The system aims to minimize friction between developers and users and ensure high standards of control and accountability.
Q402 represents the complicated authorization processes as a single sign-to-pay model and enables AI agents to work with on-chain systems to emulate real-life delegation and authorization. This model will ensure that all actions taken by the agents are traceable to explicit approvals, which will form 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 agents’ thinking and computing. Zypher has mechanisms, such as real-time prompt verification and crowdsourced agent auditing, that show an agent making decisions based on established rules and inputs.
These features address one of the key challenges of AI systems: trust. Unlike using opaque models or off-chain guarantees, Zypher supports on-chain or cryptographically verifiable evidence that an agent acted according to intended plans. This makes it a good addition to Q402’s execution model, which mandates the execution of decisions as soon as they are approved.
Evidence complies with permitted performance
Working together, Quack AI and Zypher Network will develop a single pipeline in which an agent’s decisions can be easily validated and implemented. Zypher validates an agent’s credibility to trust its choice, while Q402 regulates the choice’s performance onchain. This separation of interests allows each layer to specialize, making the agent architecture more secure and modular.
The hybrid solution will pave the way for the future where AI agents will be more autonomous without compromising transparency or security. The combination of cryptographic pilot systems with authorized execution takes the collaboration beyond unchecked reliance on verifiable guarantees.
Strengthening the agent economy
The match continues with the increasing focus on autonomous agents in the context of decentralized finance, in-game economies, social networks and enterprise automation. As agents’ responsibility and control over assets and workflows increases, it becomes a necessity to have this activity authorized and auditable.
Backed by mainstream investors and ecosystem partners such as Animoca Brands, Skyland Ventures and Kenetic Capital, Quack AI and Zypher Network are at the core of this evolving infrastructure.
Looking ahead
Quack AI has also stated that updates will be made in the future as the system progresses and the Q402 continues to grow. Such partnerships will likely shape the standards for managing, verifying, and deploying autonomous systems in Web3 as the agent economy continues to grow.