NEAR Protocol Reaches One Million Cross-Chain Swaps as AI Agents Emerge as the Primary Blockchain User Class

On July 6, 2025, NEAR Protocol achieved a milestone that speaks volumes about where the blockchain industry is heading. NEAR Intents, the protocol’s intent-based cross-chain swapping system, officially surpassed one million total swaps, marking a transformation in how digital assets move between blockchains. The announcement, amplified by NEAR co-founder Illia Polosukhin’s declaration that AI agents will become the primary users of blockchain networks, signals a fundamental shift in the relationship between artificial intelligence and decentralized infrastructure. With the broader crypto market showing strength — Bitcoin at $109,232 and Ethereum at $2,571 — the convergence of AI and blockchain is no longer theoretical.

The Synergy

The one million swap milestone is not merely a vanity metric. It represents the maturation of intent-based architecture, a paradigm where users express what they want to achieve rather than how to achieve it. Instead of navigating complex bridge interfaces, managing gas tokens across multiple chains, and manually optimizing for the best execution price, users submit a simple intent: swap token A on chain X for token B on chain Y. A network of competing solvers then fulfills that intent at the best available price, abstracting away the underlying complexity.

This architecture is perfectly suited for AI agent integration. An AI agent managing a portfolio across multiple chains does not need to understand the intricacies of each bridge or liquidity pool. It submits an intent, and the solver network handles execution. Polosukhin’s vision positions NEAR as the infrastructure layer where AI agents operate as first-class citizens, executing complex financial strategies autonomously while the protocol handles the mechanical details of cross-chain interoperability.

The synergy extends beyond simple swaps. NEAR’s architecture supports cross-chain messaging, allowing AI agents to execute multi-step strategies that span Ethereum, Solana, Bitcoin, and other networks without requiring the agent to maintain separate connections to each chain. This composability is what separates intent-based systems from traditional bridging approaches and makes them inherently more compatible with AI-driven workflows.

AI Use Cases in Web3

The intersection of AI agents and blockchain technology is generating use cases that were impractical just a year ago. Portfolio rebalancing agents can monitor market conditions across dozens of chains simultaneously, executing swaps through NEAR Intents when allocation drift exceeds predefined thresholds. Arbitrage agents can identify and exploit price discrepancies between decentralized exchanges on different chains in milliseconds, a task that requires the kind of seamless cross-chain execution that intent-based systems provide.

Yield optimization represents another compelling application. AI agents can continuously scan lending protocols, liquidity pools, and staking opportunities across the entire DeFi ecosystem, automatically shifting capital to the highest-yielding venues while managing risk parameters. The one million swap milestone demonstrates that the infrastructure can handle the transaction volume these agents generate.

NEAR’s recent addition of post-quantum cryptographic signing adds another layer of relevance for AI agent operations. As agents manage increasingly large portfolios — potentially billions of dollars in aggregate — the security of their signing infrastructure becomes paramount. Post-quantum signatures future-proof these operations against advances in quantum computing that could theoretically break current cryptographic schemes.

Data Privacy Implications

The rise of AI agents operating on public blockchains raises significant privacy questions. Every intent submitted to the NEAR Intents system is visible on-chain, creating a detailed record of an agent’s strategy, timing, and execution patterns. Competitors — or adversarial actors — can analyze this data to reverse-engineer trading strategies, front-run executions, or exploit predictable behavior patterns.

Privacy-preserving techniques are emerging to address these concerns. Zero-knowledge proofs can demonstrate that an intent is valid without revealing its specific parameters. Trusted execution environments can execute agent logic in encrypted enclaves, preventing on-chain observers from reconstructing the decision-making process. NEAR’s roadmap includes privacy-enhancing features specifically designed for agent operations, recognizing that transparency and privacy must coexist for AI-driven blockchain usage to reach its full potential.

The challenge is balancing the inherent transparency that makes blockchains trustworthy with the operational secrecy that effective AI trading requires. Financial markets have always depended on information asymmetry, and AI agents operating fully in the open would be at a systematic disadvantage against human traders who can reason privately. The protocols that solve this tension will attract the most sophisticated agent operators.

The Innovation Frontier

Looking beyond portfolio management, AI agents on blockchain infrastructure are opening entirely new categories of decentralized applications. Autonomous market makers driven by AI models can dynamically adjust pricing curves based on real-world data feeds, creating more efficient markets than static curve designs. AI-powered insurance protocols can assess claims and trigger payouts without human intervention, reducing costs and processing times from weeks to seconds.

The HOT Craft NFT marketplace, which launched on NEAR around the same period with abstracted wallets and gasless user experience, demonstrates how AI agents can interact with the creative economy. Agents could curate collections, negotiate prices, and manage licensing rights across chains, all through intent-based transactions that abstract away the technical complexity.

Decentralized physical infrastructure networks (DePIN) represent perhaps the most synergistic application of AI agents on blockchain. Agents can optimize resource allocation across distributed computing, storage, and bandwidth networks in real-time, responding to demand fluctuations more efficiently than any human operator. The one million swap milestone shows the transaction throughput needed for these operations is achievable today.

Concluding Thoughts

NEAR Protocol’s one million cross-chain swap milestone is a data point that confirms a broader trend: the infrastructure for AI-native blockchain operations is maturing rapidly. The protocols that capture the AI agent market will be those that offer the best combination of execution quality, cross-chain reach, privacy features, and developer tooling. NEAR’s intent-based architecture, post-quantum security, and explicit focus on AI as a primary user class position it as a leading contender in this emerging landscape.

Disclaimer: This article is for informational purposes only and does not constitute financial advice. Always conduct your own research before making investment decisions.