Cobo Proposes a 'Contractual Permissions + MPC' Framework for the Agent Economy

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On April 21, 2026, Cobo AI's Brad Bao proposed a "contractual permissions + MPC" compliance framework for the Agent economy. The model employs structured contracts with four elements—Intent, Path, Rules, and Termination—to define user-Agent permissions. It enables granular control while preserving user authority over funds during Agent failures or attacks. The approach facilitates secure interactions in liquidity and crypto markets.

BlockBeats report, on April 21, Brad Bao, Head of Growth at Cobo AI, shared at the offline event "Decoding Web 4.0: When AI Agents Take Over On-Chain Permissions" that Cobo is reconstructing the financial control logic of AI agents through a structured permission system. In its product, the relationship between users and agents is no longer a simple wallet authorization, but rather defined by an executable "policy/agreement" that establishes permission boundaries.


This contract includes at least four core elements: Intent, Path, Rules, and Termination conditions, transforming the traditional "all-or-nothing" access control into a granular governance mechanism that is negotiable, auditable, and revocable.


At the operational level, Cobo integrates MPC (Multi-Party Computation) technology to ensure that funds remain under user control at all times, even in the event of agent anomalies, system breaches, or prompt injection attacks—no single entity can bypass constraints to transfer assets independently. Brad Bao emphasizes that, within this architecture, agents are granted sufficient autonomy to perform complex tasks, but their actions are always confined within verifiable boundaries.


He stated that the system essentially builds a layer of "trust and insurance infrastructure" within the agent economy, enabling controlled delegation of authority to agents through a combination of "contractual permissions and secure computation," thereby enhancing automation efficiency while safeguarding user asset security and ensuring outcome determinism.

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