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Home»Blockchain»Near Protocol integrates autonomous AI agents via IQ ai partnership to support Defi -trade
Blockchain

Near Protocol integrates autonomous AI agents via IQ ai partnership to support Defi -trade

2025-08-15No Comments3 Mins Read
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Near Protocol, a POS -Blockchain network, today announced its strategic alliance with IQ AI, a network that has developed an autonomous AI agents who have been developed to serve the needs of Web3 users users. With this joint venture, Near Protocol aims to broaden its AI-driven solutions within its distributed ledger network, and tries to improve his crypto infrastructure through automation and advanced virtual asset management.

Based on this important cooperation, Near Protocol Integrated IQ’s ATP (Agent Tokenization Platform) in its POS network to improve the efficiency, security and transparency of AI-driven financial activities and control of the blockchain.

Work together with @Nearprotocol to offer autonomous cross-chain options to Tokenized AI agents.

The Near Foundation has taken over IQ to support the liquidity with almost intentions, and Broindao was bought in the neighborhood for deportation and integrations. The open agent economy is here. https://t.co/H8NMSFPKKO

– IQ ai (@iqaicom) August 13, 2025

Feeding decentralized operations from AI agents

Qi AI performs the ATP interface with which users (such as Crypto assistants such as Near Protocol and various variety of other Web3 users) can work their own AI agents to -token size autonomously. This is the movement that almost embraced protocol; It acquired AI agents from the ATP network from Qi Ai to function within its decentralized crypto -trading platform.

Based on the data shared above, the functions of these AI agents within almost protocol are dynamic. Firstly, blockchain networks (such as almost protocol and many others) normally struggle with extreme market fluctuations and liquidity shortages, which cause potential loss risks for traders. AI agents can minimize price ships in real-time to enable sufficient liquidity.

See also  Bitgert and Gamerge partner to redefine crypto -trade and web3 -gaming

Blockchain networks also often experience fragmented liquidity problems between trading couples and liquidity pools, which AI agents can again balance with the help of real-time liquidity predicting and analyzes.

As reported in the above data, AI agents within the nearby protocol also optimize the yield strategies for setting up protocols and many other trading pools and even manage risks. In short, by this amalgamation, Near Protocol aims to expand its blockchain automation, to make virtual currency operations effective, to help predictive intelligence and to prevent fraudulent actions within its network.

What this partnership means for Qi Ai

With this alliance, Blockchain-Nuts companies is reinforced by independent AI-driven insights and automation. It steeps more intelligent interactions on chains by minimizing human (manual) monitoring and promoting the possibilities, reliability and reliability of its network.

By using Qi’s autonomous AI-driven automation, almost protocol is well equipped to build powerful Defi solutions and smart digital assets-trade and governance. This technical integration will offer users an efficient experience with advanced applications and trade functions.

This synergistic relationship is also beneficial for the Qi AI platform, because it continues to expose its possibilities within the Web3 environment through high-quality partnerships such as this. The alliance between almost protocol and IQ AI shows that decentralized AI agents are no longer theories; They are made and integrated into different protocols.

As these decentralized AI agents grow up, various decentralized sectors are included in their systems to provide optimization, automation and intelligent decision-making, much better than the possibilities of traditional smart contracts.

See also  Can decentralized networks make the internet more resilient?

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Agents Autonomous DeFi integrates Partnership Protocol Support Trade
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