NEAR ক্রেডিট কার্ড ছাড়াই স্টেকিং-ভিত্তিক এআই পেমেন্ট সিস্টেম চালু করেছে

NEAR প্রোটোকল ব্যবহারকারীদের ক্রেডিট কার্ড স্লাইড করার পরিবর্তে টোকেন স্টেক করে এআই সেবা পেমেন্ট করার অনুমতি দিচ্ছে। কী নতুন NEAR NEAR AI-এর জন্য একটি স্টেকিং-ভিত্তিক পেমেন্ট সিস্টেম চালু করেছে, যা বন্ধ করা NEAR টোকেনগুলিকে মাসিক কম্পিউট ক্রেডিটে রুপান্তরিত করে। এই ক্রেডিটগুলি প্ল্যাটফর্মে উপলব্ধ 43টি এআই মডেলের মধ্যে ব্যবহার করা যাবে — যার মধ্যে Anthropic, OpenAI এবং Google-এর মডেলও অন্তর্ভুক্ত — ক্লাউড বিলিং অ্যাকাউন্ট, সংরক্ষিত পেমেন্ট ডিটেইলস বা ক্রেডিট কার্ডের প্রয়োজন ছাড়াই। NEAR-এর শব্দে, “যা NEAR আপনি ধারণ করছেন, এবং যা AI আপনি চালাচ্ছেন, তা একটি কার্ডের মধ্যস্থতায় ছাড়াই যুক্ত”। কিভাবে কাজ করে - ব্যবহারকারীরা AI সেবা ব্যবহারের আগে NEAR স্টেক করে; স্টেকের আকারই নির্ধারণ করে তারা মাসিক কতগুলি কম্পিউট ক্রেডিট (বা “কম্পিউট পয়েন্ট”) পাবে। - টোকেনগুলি স্টেকড অবস্থায় বন্ধ থাকে, but not spent; they return to the user’s wallet after unstaking. NEAR this as “staking NEAR equates to AI usage, prepaid in a form you can recover.” - Stakes can be increased for additional one-time credits, reduced when usage drops, or fully withdrawn via the normal unstaking process. - The payment, staking and unstaking lifecycle is onchain, and the same mechanism supports confidential inference and always-on agents without exposing payment credentials to third parties. Why it matters - Removes friction: developers and users can switch between AI providers without changing how they pay for inference or agent hosting. - Privacy and control: confidential inference and hosted agents can run without handing over payment data to centralized services. NEAR calls this model part of “AI sovereignty.” - New role for staking: tokens serve dual purposes — they help secure the blockchain and act as a recoverable payment instrument for AI compute, rather than being consumed as a disposable expense. Tokenomics implications NEAR points out that staking for AI could remove tokens from circulation while they’re locked to pay for compute. One-off subscriptions likely won’t move the needle, but broad adoption across apps and developers could meaningfully shift how much NEAR is committed to active computing rather than freely tradable supply. The protocol did not provide estimates or adoption forecasts, but argued that AI-paid staking ties token value to real network activity and could redirect value back to participants securing the network instead of to centralized providers. Bigger picture and context NEAR frames this launch as a step toward an “agent economy” where software agents are active market participants and blockchain assets serve as the medium for machine-generated work. The new payment model expands staking beyond validator rewards and investment products. Earlier moves that relate to NEAR’s staking strategy include: - February 2025: Nomura-backed Laser Digital launched the Laser Digital NEAR Adoption Fund — an institutional product using TruStake (TruFin) that aimed to combine exposure to AI and digital assets with staking income. The fund was offered to eligible professional and institutional investors outside the U.S. - October 30, 2025: NEAR activated a network upgrade cutting annual token inflation from roughly 5% to about 2.4%, lowering yearly token issuance by nearly 60 million NEAR and lowering expected staking yields from roughly 9% to around 4.5% (assuming ~50% of circulating supply staked). Bottom line NEAR’s staking-to-pay system is a noteworthy experiment: it reduces payment friction for AI services, aims to protect user credentials, and creates a novel intersection between staking economics and AI compute. How much supply will be locked and how quickly developers adopt the model remain unanswered questions, but the feature gives staking a fresh utility in an increasingly AI-driven onchain economy.