AI Agents Get Their Own Dispute Court Backed by OKX, MetaMask and Matter Labs

When AI agents start paying each other at machine speed, who steps in when the deal goes wrong? The answer arrived this week with the announcement of the "Internet Court," a dispute‑resolution protocol built for autonomous software and backed by a 27‑firm consortium that includes crypto exchanges OKX, wallet provider MetaMask and scaling platform Matter Labs.

At its core, Internet Court is a set of interoperable smart‑contract modules that let two agents lock funds in escrow, present evidence, and receive a binding adjudication without human intervention. The GenLayer Foundation leads the effort, leveraging MetaMask’s Smart Accounts Kit, ERC‑7710 delegation standards, and the x402 Facilitator to create a shared adjudication layer that works across disparate AI‑commerce stacks.

Agent‑to‑agent transactions are already moving beyond experimental pilots. From automated supply‑chain settlements to AI‑driven content licensing, machines are negotiating value at a pace no traditional court can match. Existing legal frameworks assume a human party can appear in court, sign documents, or appeal a ruling—assumptions that break down when the parties are lines of code. Internet Court fills that gap by providing machine‑speed arbitration that respects the same cryptographic guarantees that underpin the underlying payments.

"Machine‑speed money needs machine‑speed adjudication," said David Riudor, CEO and co‑founder of the GenLayer Foundation. Albert Castellana, co‑founder and CEO of GenLayer Labs, added, "Internet Court makes fragmented protocols work together, turning a patchwork of standards into a single open skill any agent can call on when a deal is contested." Ryan McPeck, Smart Accounts Lead at MetaMask, confirmed that the Smart Accounts Kit and ERC‑7710 delegations are the technical backbone that enables agents to delegate authority safely while preserving accountability.

The backing of OKX, MetaMask and Matter Labs signals a shift in how institutional players view the emerging AI‑commerce ecosystem. After a third consecutive quarter of losses in the broader digital‑asset market, capital is gravitating toward infrastructure that can unlock new use cases. By staking credibility in a dispute‑resolution layer, these firms are positioning themselves to capture fees, data, and network effects as autonomous transactions scale.

Interoperability is a recurring theme across the stack. Coinbase’s x402 protocol handles payments, ERC‑8004 defines agent identity, and Google’s A2A initiative focuses on cross‑platform agent communication. Internet Court sits atop these layers, acting as a middleware that can invoke any of the underlying standards to verify claims and enforce outcomes. This architectural approach reduces the risk of “code‑only” deadlocks, making it easier for enterprises to trust AI agents with high‑value contracts.

Real‑world implications are already emerging. The NBA, for example, is experimenting with AI agents that manage secondary‑ticket markets, using escrow contracts that could be settled through Internet Court if a resale violates league rules. Bitcoin remains a common settlement token in these contracts, providing a liquid, borderless medium that the new protocol can lock and release without needing a centralized ledger.

From a structural perspective, Internet Court adds a distinct adjudication layer to the blockchain stack—one that operates between the execution layer (where payments happen) and the governance layer (where protocol upgrades are decided). By separating dispute resolution from transaction finality, the system preserves the immutable record while still allowing contested outcomes to be corrected before they become irreversible.

Looking ahead, regulators are watching the rise of autonomous agents closely. A transparent, on‑chain dispute mechanism could inform future legal definitions of agency and liability, potentially easing the path for broader institutional adoption. As more firms integrate Internet Court into their AI pipelines, the protocol may become a de‑facto standard for machine‑driven commerce, shaping both market dynamics and policy discussions.