NEAR emerges as a dark horse in crypto AI as Intents hit product-market fit and Ironclaw secures agent-driven onchain transactions


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Promote with Leviathan NewsNEAR Protocol is a layer-1 blockchain that has increasingly positioned itself around AI agents, chain abstraction, and cross-chain execution. It was founded by Illia Polosukhin and Alexander Skidanov and launched its mainnet in 2020; NEAR’s recent messaging frames the network as infrastructure for an “agent economy,” with intents-based execution that lets users or AI agents specify an outcome while the protocol routes transactions behind the scenes. The story referenced in the post appears to be about two related developments: NEAR Intents reaching product-market fit and a project called Ironclaw securing agent-driven onchain transactions. NEAR Intents is described as an architecture that removes much of the manual wallet and bridge interaction by letting users or AI agents declare what they want and then executing the underlying cross-chain steps automatically. That matters because it lowers friction for both human users and autonomous agents, which is central to NEAR’s broader pitch as a blockchain optimized for AI-native applications and automated commerce. More broadly, the significance is that crypto AI narratives are shifting from speculative “AI token” branding toward real execution layers for autonomous systems. NEAR’s public materials and interviews emphasize trusted execution, confidential inference, and agent harnesses for verifiable AI workflows, while the mention of Ironclaw suggests emerging real-world use of agents to initiate transactions onchain rather than simply analyze markets or generate content.
AI-generated background, compiled from web sources — not editorial content.

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