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NEAR Integrates Confidential Intents to Anchor Emerging Agentic Economy

Futuristic AI silhouette negotiating a private cross-chain handshake across glowing shards.

NEAR Protocol is shifting its infrastructure toward the “agentic economy,” integrating confidential execution and intent-based systems to support autonomous AI agents. The latest updates, detailed in the NEAR official roadmap, highlight a focus on enabling machines to act as economic participants through private coordination and universal liquidity.

The core of this transition is Confidential Intents, a feature designed to provide privacy for cross-chain trading and payments. Unlike fully transparent decentralized finance (DeFi) protocols, which expose transaction details to bots and observers, Confidential Intents utilizes private shards to mask transaction size, direction, and asset pairs by default. The protocol aims to combine the privacy levels of specialized chains with the composability of public networks.

Adoption Metrics and Private Volume

Data from the second quarter indicates a significant shift toward private transaction execution within the ecosystem. According to an analysis by Nansen, Confidential Intents’ Total Value Locked (TVL) surpassed $30 million. Furthermore, the firm reported that 42% of the swap volume on the near.com interface was executed privately by default during this period.

The integration of intents—a system where users specify a desired outcome rather than a sequence of technical steps—has expanded beyond native protocol tools. Third-party platforms including SimpleSwap and Ledger have recently incorporated NEAR-powered intent systems, facilitating swaps across more than 30 different blockchains.

Building Infrastructure for AI Agents

NEAR’s objective is to provide an “open stack” for AI agents that require more than just a large language model to function as economic actors. According to the protocol’s development team, an effective agentic economy requires several specialized capabilities, including:

  • Confidential execution: Allowing agents to process sensitive data and financial moves without public exposure.
  • Settlement speed: Infrastructure capable of handling machine-driven transactions at a micro scale.
  • Universal liquidity: Enabling agents to access assets across multiple chains without fragmented user experiences.
  • Private inference: Ensuring that the data processed by AI models remains secure.

The project characterizes Confidential Intents as a solution to the tension between high-speed execution and the liability of on-chain transparency. By running these flows on a private shard rather than relying solely on client-side zero-knowledge proofs, the protocol claims to maintain a standard user experience while preventing the leakage of trade positions.

Future Strategic Focus

The roadmap through 2026 continues to emphasize the convergence of AI and blockchain settlement. Beyond current swap and payment features, the protocol is working toward “Universal Send,” a feature intended to allow confidential payments to any user on any chain without exposing wallet history.

While the infrastructure for these agent-led transactions is scaling, with NEAR Intents cumulative volume reportedly reaching $19 billion in late May, the long-term success of the “agentic economy” depends on the developer adoption of these private execution layers and the continued integration of secure public-sector AI initiatives.