Thông tin Assemble AI (ASM)
| Trạng thái | Đang hoạt động |
| Website | |
| Sách trắng | |
| Block Explorer | https://etherscan.io/token/0x2565ae0385659badcada1031db704442e1b69982 https://basescan.org/token/0x3b53604113B5677291BFc0bc255379E7a796559b |
| Bảng tin | |
| Chat | |
| Thông báo | |
| Nền tảng | |
| Ngày thêm vào danh sách | 07:00:00 03/08/2020 |
| Thẻ | AI & Big Data, Ethereum Ecosystem, DWF Labs Portfolio, Base Ecosystem, AI Agents, AI Applications |
Số liệu thống kê Assemble AI (ASM)
| Giá Assemble AI (ASM) hôm nay | |
|---|---|
| Giá Assemble AI (ASM) | $0.006922 |
| Dao động 1 giờ | -0.06% |
| Dao động 24 giờ | -0.67% |
| Dao động 7 ngày | -2.79% |
| Giá Thấp / Cao nhất (24h) | $0.007275 / $0.008449 |
| Khối lượng giao dịch 24 giờ | $185,508 |
| Vốn hóa | $10,382,465 |
| Khối lượng giao dịch / Vốn hóa thị trường | 0.017867 |
| Thị phần | 0.000406% |
| Xếp hạng | #967 |
| Giá Assemble AI (ASM) hôm qua | |
| Giá Thấp / Cao nhất hôm qua | $0.007275 / $0.008449 |
| Giá Mở / Đóng hôm qua | $0.007530 / $0.007672 |
| Dao động giá hôm qua | 1.88% |
| Khối lượng giao dịch hôm qua | $260,241 |
| Nguồn cung Assemble AI (ASM) | |
| Tổng ASM đang lưu hành | 1,500,000,000 ASM |
| Tổng cung | 3,000,000,000 ASM |
| Tổng cung tối đa | 3,000,000,000 ASM |
| Lịch sử giá Assemble AI (ASM) | |
| Giá Thấp / Cao 7 ngày | $0.006451 / $0.009055 |
| Giá Thấp / Cao 30 ngày | $0.006259 / $0.009055 |
| Giá Thấp / Cao 90 ngày | $0.006259 / $0.009055 |
| Giá Thấp / Cao 52 tuần | $0.006259 / $0.06300 |
| Giá cao nhất lịch sử 10:33:18 26/04/2021 |
$0.6450 |
| Giá thấp nhất lịch sử 08:06:20 11/11/2020 |
|
| ROI của Assemble AI (ASM) | -72.23% |
NS3 is an AI-powered crypto news intelligence platform. AI reads every article from 20+ trusted crypto and macro media in real time, classifies it by importance, generates structured analysis across six dimensions, and delivers everything in 16 languages. Currently used by leading crypto platforms including Binance and CoinGecko.
### Where does NS3's data come from?
NS3 learns from trusted crypto and macro media articles, exchange market data, on-chain analytics research, and crypto aggregator metadata in real time. A separate pipeline receives breaking headlines from major paid news services. All incoming data is cleaned, normalized, and structured before entering the AI analysis engine.
### How does NS3 identify related tokens?
NS3 maintains a continuously updated asset knowledge base covering 10,000+ crypto assets. Each article is cross-referenced against this knowledge base to identify which tokens are involved, how they are affected, and what structural role they play. This entity resolution engine powers coin-specific filtering, cross-asset impact mapping, and automated portfolio-relevant news routing.
### How does the news analysis work?
Every article passes through a multi-stage AI classification engine that evaluates structural importance across seven condition categories, then generates structured intelligence across six analytical dimensions. The pipeline produces four distinct output formats simultaneously: real-time classified articles, importance-ranked Top 10, narrative daily briefing, and breaking headlines, all delivered in 16 languages through a comprehension-transfer translation layer.
### How does NS3 maintain quality?
NS3's classification rules and analysis prompts are evolved through a simulation-driven development cycle. Every update is validated against hundreds of real article inputs before deployment, measuring classification accuracy, analysis consistency, and cross-language translation fidelity. Automated regression testing ensures that each iteration improves precision without introducing side effects across the production pipeline.
### What AI model does NS3 use?
NS3 runs on OpenAI's GPT-5.4 as its core inference engine. On top of this foundation, NS3 applies proprietary prompt architectures, custom classification frameworks, and domain-specific fine-tuning optimized for crypto and macro financial news. The result is an analysis system that maintains strict fact boundaries, preserves modality and attribution accuracy, and produces structured output stable enough to survive translation into 16 languages without information loss.
### Reference materials
Official Web Site
Crypto News Web Site (NS3)
Crypto News Mobile app (Adroid)
Crypto News Mobile app (IOS)