Token deposits on the NEAR AI platform surpassed 1 million NEAR on October 21, 2026. The milestone was announced directly by the NEAR AI team and confirmed by the official NEAR Protocol account, marking an adoption milestone for a system merging crypto staking with artificial intelligence computing needs.
Instead of withdrawing yields to personal wallets and spending them manually, this network mechanism bypasses conventional payment rails.
How Staking Yields Power AI Models
The system operates through automated conversion: staking yields are converted directly into inference compute credits, while users’ principal NEAR tokens remain intact and unspent. First launched on July 30, 2026, this staking-based financing model now powers 43 artificial intelligence models from global providers including OpenAI, Anthropic, and Google.
Compute credits are calculated at a fixed rate: one platform credit equals $1 in computing service fees. Credit balances accrue every second in line with network yield earnings, and unused allowances automatically roll over into the next period. Staking yield rates fluctuate dynamically based on network participation levels, with average validator commission fees ranging from 1% to 10% before yields are distributed to stakers.
Subscription-Free Usage Costs and Autonomous Agent Requirements
For direct usage without staking, pay-as-you-go pricing as of October 21, 2026, sets rates with no minimum spend requirements or subscription licensing fees. Processing a workload of 1 million input tokens and 1 million output tokens is priced at $0.58 on the GLM 5.3 Flash model, and $1.39 on the Qwen 3.8 27B model. This fee structure gives developers the flexibility to test workloads without contractual commitments.
Users looking to run an autonomous AI agent named IronClaw face specific deposit requirements. The platform sets a minimum deposit threshold of 50 NEAR to activate a first agent. The monthly hosting balance calculation uses a ratio of locked tokens divided by 100, meaning a deposit of 500 NEAR generates $5 in monthly hosting credits to keep the agent operational.
Isolated Hardware to Prevent Data Leaks
Data privacy concerns are addressed by NEAR AI through the implementation of isolated hardware-based Trusted Execution Environments (TEEs). This physical security architecture locks down computation execution, ensuring that user prompts and processed data cannot be read by model providers or cloud operators for AI training purposes.
For NEAR token holders, this mechanism transforms idle assets into digital working capital: principal balances remain safely stored on the network, while computing costs for dozens of AI models are covered by network dividends.
Reported by crypto.news.
Also read: What Is DeFi (Decentralized Finance)?
Disclaimer: This article is for informational and educational purposes only, not financial advice. Cryptocurrency assets are highly volatile and carry significant risk. Always do your own research (DYOR) and never invest more than you can afford to lose.
