NEAR Protocol

NEAR Protocol is a Proof of Stake Layer 1 blockchain that positions itself as the blockchain for AI. The project describes itself as a high-performance, AI-native platform built to power decentralized applications and intelligent agents, providing the infrastructure AI needs to transact, operate, and interact across Web2 and Web3.

The protocol combines three core elements: User-Owned AI, which ensures agents act in users' best interests; Intents and Chain Abstraction, which eliminate blockchain complexity for seamless, goal-driven transactions across chains; and a sharded blockchain architecture that delivers the scalability, speed, and low-cost execution needed for real-world AI and Web3 use.

NEAR uses a sharded Proof of Stake architecture to scale transaction throughput. Sharding allows the network to process transactions in parallel across multiple chains, aiming to deliver the speed and low costs required for real-world applications.

The chain abstraction layer sits above this infrastructure, using an intents-based model. Users express the outcome they want rather than the specific chain operations required, and the protocol handles cross-chain execution. This design is intended to make the underlying blockchain complexity invisible to both users and AI agents.

The AI-native stack is built so that intelligent agents can transact and operate on-chain. The user-owned AI component is meant to ensure that agents act in the interest of their users rather than a centralised operator.

NEAR has a circulating supply of 1,301,875,386 tokens and a total supply of 1,301,875,386 tokens. The protocol has no fixed maximum supply cap, meaning new tokens can be issued over time.

As a Proof of Stake network, NEAR tokens are used for staking to secure the network and for transaction fees. The absence of a hard cap means token issuance dynamics depend on protocol governance and staking inflation parameters.

The protocol is developed by a contributor base visible on GitHub, with 213 pull-request contributors having merged 8,632 pull requests across the linked repositories. Specific details about the founding team, organisational structure, and backers are not covered in the available data.

NEAR is categorised among alleged SEC securities, which is a factual regulatory designation relevant to the project's legal standing rather than a characterisation of its team or operations.

NEAR's competitive positioning rests on the integration of three layers: a sharded L1 for performance, chain abstraction for usability, and an AI-native stack for intelligent agents. Most Layer 1 competitors focus on one or two of these dimensions, whereas NEAR is building all three into a single stack.

The risk is that breadth does not equal depth. NEAR competes against dedicated chain abstraction protocols, high-throughput L1s, and emerging AI-focused networks, each of which may specialise more deeply in a single area.

The integrated stack makes NEAR the foundation for building secure, user-owned, AI-native applications at internet scale.