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NBTC News
Home»Blockchain»Near Protocol Integrates Autonomous AI Agents through IQ AI Partnership to support DeFi Trading
Blockchain

Near Protocol Integrates Autonomous AI Agents through IQ AI Partnership to support DeFi Trading

NBTCBy NBTC17/08/2025No Comments3 Mins Read
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Near Protocol, a PoS blockchain network, today announced its strategic alliance with IQ AI, a network powering a system of autonomous AI agents developed to serve the needs of Web3 users. With this joint venture, Near Protocol aims to widen its AI-powered solutions within its distributed ledger network, seeking to improve its crypto infrastructure through automation and advanced virtual asset management.

Based on this important collaboration, Near Protocol integrated IQ’s ATP (Agent Tokenization Platform) into its PoS network to improve the blockchain’s efficiency, security, and transparency of AI-driven financial operations and control.

Partnered with @NEARProtocol to bring autonomous cross-chain capabilities to tokenized AI agents.

The NEAR Foundation acquired IQ to support liquidity on NEAR Intents, and BrainDAO acquired NEAR for staking and integrations. The open agent economy is here. https://t.co/H8NmsfPKko

— IQ AI (@IQAICOM) August 13, 2025

Powering Decentralized Operations with AI Agents

QI AI runs the ATP interface that allows users (like crypto asset managers like Near Protocol and several variety of other Web3 users) to tokenize their own AI agents to operate with their networks autonomously. This is the move that Near Protocol embraced; it acquired AI agents from QI AI’s ATP network to function within its decentralized crypto trading platform.

Based on the data shared above, the functions of these AI agents within Near Protocol are dynamic. First, blockchain networks (like Near Protocol and many others) normally grapple with extreme market fluctuations and liquidity shortages, which trigger potential loss risks for traders. AI agents can minimize price slippages in real-time to enable sufficient liquidity.

Also, blockchain networks often experience fragmented liquidity issues across trading pairs and liquidity pools, which AI agents can rebalance with the assistance of real-time liquidity forecasting and analytics.

As reported in the data above, within Near Protocol, AI agents also optimize yield strategies in staking protocols and many other trading pools, and even manage risks. In short, through this amalgamation, Near Protocol aims to expand its blockchain automation, make virtual currency operations effective, advance predictive intelligence, and prevent fraudulent acts within its network.

What This Partnership Means for QI AI

With this alliance, Near Protocol strengthens its blockchain utilities through independent AI-driven insights and automation. It infused more intelligent on-chain interactions by minimizing human (manual) monitoring and advancing its network’s capability, reliability, and trustworthiness.

By leveraging QI’s autonomous AI-powered automation, Near Protocol is well-equipped to build powerful DeFi solutions and smart digital asset trading and governance. This tech integration is set to offer users an efficient experience with advanced applications and trading features.

This synergistic relationship is also beneficial for the QI AI platform as it continues to expose its capability within the Web3 environment through high-value partnerships like this one. The alliance between Near Protocol and IQ AI showcases that decentralized AI agents are no longer theories; they are being created and integrated across numerous protocols.

As these decentralized AI agents mature, several decentralized sectors are incorporating them in their systems to deliver optimization, automation, and intelligent decision-making, much better than the abilities of traditional smart contracts.

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NBTC

NBTC is the editorial account for NBTC News, covering Bitcoin, Ethereum, DeFi, blockchain infrastructure, exchanges, mining, regulation and digital asset markets. The editorial team focuses on clear sourcing, timely updates and practical context for crypto readers.

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