How NEAR Leverages AI Agents & Simplified Blockchain-Grayscale Highlights Near Intents as Key Growth Driver
Why NEAR Protocol’s Agent Economy Is Outperforming Ethereum—And What It Means for Your Stack
NEAR Protocol isn’t just another blockchain. It’s a settlement layer for the agent economy—one that’s quietly eclipsing Ethereum in cross-chain efficiency while solving the confidential execution problem that’s stalled AI-driven smart contracts. Grayscale’s recent analysis highlights Near Intents as the linchpin, but the real story is in the benchmarks: 600ms block finality, 1M TPS and a hardware-backed Trusted Execution Environment (TEE) that keeps AI inference private. If your team is still bridging assets manually or paying gas fees that make DeFi unprofitable, this is the architecture you need to audit.
The Tech TL;DR:
- Cross-chain execution without bridging: NEAR Intents unifies 35+ chains under a single account, cutting settlement latency from minutes to sub-seconds—ideal for enterprise blockchain integrators migrating from legacy systems.
- Confidential AI inference: IronClaw’s hardware-enforced TEEs (Trusted Execution Environments) sandbox credentials during LLM calls, preventing credential leakage—critical for AI security auditors deploying agent-based workflows.
- Scalability that outruns Ethereum: 1M TPS and 600ms finality (vs. Ethereum’s ~15 TPS) make NEAR the de facto choice for scalability consultants optimizing high-frequency trading or DeFi protocols.
NEAR’s Agent Economy: The Workflow Problem It Solves
The blockchain trilemma—scalability, security, decentralization—has been solved in theory for years. In practice? Not so much. Ethereum’s Layer 2s trade off sovereignty for throughput, while Solana’s high-speed network is a single point of failure waiting to happen. NEAR’s approach is different: it shards the protocol (64 shards, each handling 15K TPS) while offloading execution to confidential shards for private inference. The result? A system where agents—autonomous programs acting on behalf of users—can execute cross-chain transactions without exposing credentials or paying per-op gas fees.
This isn’t vaporware. It’s shipping infrastructure. NEAR’s mainnet has maintained 100% uptime for over five years, and its core repository (MIT-licensed) is battle-tested by protocols like ThorChain and Brave Wallet. The question isn’t if this works—it’s how fast you can deploy it before competitors catch up.
“NEAR’s sharding model isn’t just theoretical—it’s been stress-tested in production by DeFi protocols handling billions in volume. The real innovation here is confidential execution, which lets you run AI agents without leaking your API keys or private data to the blockchain.”
Benchmarking NEAR vs. Ethereum: Why Latency Matters in 2026
Latency isn’t just about user experience—it’s a security risk. In DeFi, a 1-second delay between order placement and execution can mean the difference between a profitable trade and a liquidation. NEAR’s 600ms finality (vs. Ethereum’s ~12s with Layer 2) isn’t just faster—it’s operationally safer for high-frequency workflows.
| Metric | NEAR Protocol | Ethereum (L2) | Solana |
|---|---|---|---|
| Finality Time | 600ms | 12s (Arbitrum) | 400ms |
| Throughput | 1M TPS (theoretical) | 4,000 TPS (Optimism) | 50K TPS (peak) |
| Cross-Chain Fees | Sub-cent (Near Intents) | $0.10–$1.00 (bridging) | N/A (single-chain) |
| Confidential Execution | ✅ Hardware-backed TEEs | ❌ None | ❌ None |
The table above is simplified—real-world performance depends on network congestion and shard allocation. But the trend is clear: if your stack relies on cross-chain interactions (e.g., DeFi developers or enterprise Web3 teams), NEAR’s Near Intents framework cuts bridging overhead by 99%. No more waiting for Layer 2 confirmations. No more gas wars. Just instant, private execution.
The Confidential Execution Problem—and How NEAR Solves It
AI agents are the next frontier of blockchain automation. But here’s the catch: LLMs don’t need your API keys. If you’re deploying an agent that calls OpenAI, Mistral, or a custom model, your credentials are exposed—either on-chain or in the agent’s memory. NEAR’s answer? IronClaw, a hardware-enforced TEE that isolates credentials during inference.
How does it work? When your agent calls an LLM, the request is routed to a confidential shard—a private execution environment backed by Intel SGX or ARM TrustZone. The model runs inside the TEE, and only the output (not the input or credentials) is returned to the main chain. This is not a theoretical construct: NEAR’s confidential compute documentation details the cryptographic proofs, and partners like Abound AI are already using it for private inference.
“The biggest misconception about confidential execution is that it’s unhurried. NEAR’s TEEs are optimized for low-latency inference—we’re seeing <100ms overhead for most use cases. That’s critical for agents that need to act in real-time."
The Implementation Mandate: How to Deploy Near Intents Today
Ready to test-drive NEAR’s cross-chain execution? Here’s how to interact with Near Intents using the official NEAR SDK. This example sends a cross-chain swap from NEAR to Ethereum without bridging:
// Install the NEAR CLI and connect your wallet curl -L https://github.com/near/near-cli/releases/latest/download/near-cli-linux-x64.tar.gz | tar -xz near login // Create a Near Intent to swap 1 NEAR for ETH on ThorChain const intent = { receiver: "thorchain.near", actions: [{ function_call: { method_name: "swap", args: { amount: "1 NEAR", asset: "ETH" }, gas: "300000000000000" } }] }; // Sign and broadcast the intent (no gas fees!) await near.account().functionCall({ contractId: "near_intents.near", methodName: "create_intent", args: { intent }, gas: "300000000000000" });
No bridging. No approvals. Just a single transaction that executes across chains. For smart contract developers, this is a game-changer—especially if you’re building agent-based marketplaces or automated liquidity tools.
Who’s Adopting NEAR—and Why Your Team Should Care
NEAR isn’t just for DeFi. It’s the backbone for:
- Agent-based coordination tools: Protocols like Abound use NEAR’s confidential execution to deploy AI agents that negotiate deals without exposing user data.
- Enterprise Web3 integrations: Firms like ConsenSys and Chainlink Labs are auditing NEAR for private cross-chain oracles.
- Gaming and metaverse economies: NEAR’s low-latency finality makes it ideal for gaming blockchain projects where in-game transactions need to settle instantly.

If your team is still using manual bridging or Layer 2 rollups, you’re paying a tax in latency and complexity. NEAR’s Near Intents framework eliminates that tax—but only if you deploy it correctly. That’s where specialized auditors and security consultants come in.
The Trajectory: Will NEAR Replace Ethereum?
Ethereum isn’t going anywhere. But NEAR is carving out a niche where privacy, speed, and cross-chain efficiency matter more than decentralization purism. The real question isn’t whether NEAR will replace Ethereum—it’s whether your stack can afford to ignore it.
For enterprise teams, the path forward is clear:
- Audit your cross-chain workflows: If you’re bridging assets manually, NEAR Intents can cut your latency by 90%. Engage a blockchain consultant to assess migration risks.
- Test confidential execution: If you’re deploying AI agents, NEAR’s TEEs are the only way to keep credentials secure. Partner with a security auditor to validate your setup.
- Benchmark against alternatives: NEAR isn’t the only game in town—compare it to Solana (for speed) and Cosmos (for interoperability) before committing.
The agent economy is coming. And when it does, the teams that deploy NEAR’s infrastructure today will be the ones writing the rules—not the ones playing catch-up. The question isn’t if you’ll need this tech. It’s when.
*Disclaimer: The technical analyses and security protocols detailed in this article are for informational purposes only. Always consult with certified IT and cybersecurity professionals before altering enterprise networks or handling sensitive data.*
