Quack AI today announced that its signature-based execution layer, Q402, runs on Avalanche C-Chain. The company says this will allow agent-driven applications to feel native in one of the fastest L1 ecosystems. In a post to
According to Quack AI, this release brings three notable features to the Avalanche developer community. That means a “zero gas barrier” that enables ERC-20 payments without the need for users to hold AVAX for gas, a “sign-to-pay” flow that separates user intent from transaction execution, and a production-ready, auditable execution fabric for what the company calls the emerging agent economy.
From signature to payment
At its core, Q402 uses signature-based authentication. A single cryptographic signature represents the user’s intent and is carried through to execution by an intermediary or facilitator. This model collapses the traditional three-step UX of sign, fund, and send into a unified “sign then pay” experience, which Quack AI claims is much more suited to automated agents and large-scale real-world flows.
Quack AI’s documentation extends Q402 as an implementation of the open x402 standard that combines delegated execution with governance intelligence and policy enforcement, indicating that the project aims to be a foundational layer for autonomous on-chain systems rather than a band-aid for UX.
For Avalanche builders, perhaps the most immediate benefit is reduced onboarding effort. Eliminating the need for end users to hold native gas tokens simplifies payments, microtransactions, and other UX-sensitive flows common in consumer apps, games, and tokenized financial services.
Additionally, Sign-to-Pay allows service providers to separate the authorization step from the payment mechanism, opening up the possibility for more secure delegation workflows where an institution or multisig setup signs the intent and a trusted infrastructure handles the rest. The Quack AI announcement highlights two selling points for teams that must balance automation and compliance: performance and auditability.
The company included a link to its contract deployment on Snowtrace in its announcement, encouraging developers to inspect live transactions and deployed code. While the broader Q402 roadmap includes integration and validation tools, the live C-chain deployment marks the first operational footprint on Avalanche and could serve as a springboard for additional collaboration and relayer networks.
Observers in the field have already noted that Quack AI is broadly promoting verifiable execution, with recent coverage highlighting partnerships and ecosystem efforts aimed at combining execution guarantees and cryptographic proof systems to reduce trust assumptions in autonomous systems.
There are questions that come with any new execution abstraction. How do intermediary economics work at scale, who bears the settlement risk, and what are the standard auditing tools for validating agent reasoning and behavior? Quack AI documentation suggests these are active design goals.
The company is positioning Q402 not only for UX improvements, but also as a governance-aware layer that can record and enforce policies along the execution path. Whether that vision becomes a reality depends on adoption by builders and the emergence of a powerful facilitator network that can securely bring signed intents to on-chain results.
For now, Avalanche users and developers can now experiment with a new primitive: the execution layer, which aims to make execution feel native with validation as the default. If Q402 delivers on its promise, it could accelerate the transition from manual, gas-oriented workflows to a delegated, auditable agent economy, and provide a template for how other chains can support signed intent and gas abstractions at scale.
