BTCS Inc. 推出突破性區塊鏈分析平台 ChainQ

這項創新工具旨在徹底改變用戶探索和理解區塊鏈數據的方式，提供前所未有的可及性和洞察力。

Nasdaq-listed company BTCS Inc., focused on blockchain technology, has announced the launch of ChainQ, a blockchain analytics platform. This tool aims to enhance the accessibility and analysis of blockchain data.

專注於區塊鏈技術的納斯達克上市公司BTCS Inc.宣布推出區塊鏈分析平台ChainQ。該工具旨在增強區塊鏈數據的可存取性和分析。

BTCS Leverages Advanced Data Indexing for Enhanced Accessibility

BTCS 利用進階資料索引來增強可訪問性

ChainQ utilizes indexed data from BTCS’s blockchain infrastructure operations, enabling access to hard-to-reach public blockchain data. The platform is designed to simplify the process of accessing, querying, and analyzing blockchain data, similar to how Bloomberg serves financial research or Westlaw serves legal research.

ChainQ 利用 BTCS 區塊鏈基礎設施營運的索引數據，能夠存取難以存取的公共區塊鏈數據。該平台旨在簡化存取、查詢和分析區塊鏈資料的過程，類似於 Bloomberg 為金融研究提供服務或 Westlaw 為法律研究提供服務的方式。

Unlike traditional blockchain explorers, which are often cumbersome and lack advanced features like natural language queries and customizable searches, ChainQ offers a streamlined and accelerated data exploration experience through its AI-driven platform.

與傳統的區塊鏈瀏覽器不同，傳統的區塊鏈瀏覽器通常很麻煩並且缺乏自然語言查詢和可自訂搜尋等高級功能，ChainQ 透過其人工智慧驅動的平台提供簡化和加速的數據探索體驗。

BTCS’s Commitment to Blockchain Innovation

BTCS對區塊鏈創新的承諾

“We are excited to announce the launch of ChainQ, a next-generation blockchain analytics platform that combines the power of artificial intelligence with advanced search functionalities to provide users with an intuitive and comprehensive solution for navigating blockchain data,” said Charles Allen, CEO of BTCS.

「我們很高興宣布推出ChainQ，這是一個下一代區塊鏈分析平台，它將人工智慧的力量與先進的搜尋功能相結合，為用戶提供直覺、全面的區塊鏈數據導航解決方案，」ChainQ執行長Charles Allen 表示。

The initial beta version of ChainQ supports indexed data from the Cosmos (ATOM) blockchain network, which despite being smaller by market cap, has a complexity that sets the stage for future expansion into larger, less complex chains with broader market awareness.

ChainQ 的初始測試版支持來自Cosmos (ATOM) 區塊鏈網路的索引數據，儘管該網路的市值較小，但其複雜性為未來擴展到更大、更簡單、具有更廣泛市場意識的鏈奠定了基礎。

This launch comes amid a significant increase in global cryptocurrency ownership in 2023, rising from 432 million in January to 580 million in December, highlighting a vast and growing market for such solutions.

此次推出正值 2023 年全球加密貨幣擁有量大幅增加，從 1 月的 4.32 億增加到 12 月的 5.8 億，凸顯了此類解決方案的巨大且不斷增長的市場。

User-Friendly Interface and Feature-Rich Capabilities of ChainQ

ChainQ 的使用者友善介面和豐富的功能

ChainQ features an intuitive interface powered by state-of-the-art generative AI technology, enabling seamless user interaction. Users can easily access and analyze blockchain data through a simple search bar, which allows for natural language queries (NQL) to extract detailed insights from indexed blockchain data.

ChainQ 具有直覺的介面，由最先進的生成式人工智慧技術提供支援，可實現無縫的用戶互動。用戶可以透過簡單的搜尋欄輕鬆存取和分析區塊鏈數據，這允許自然語言查詢（NQL）從索引的區塊鏈數據中提取詳細的見解。

“ChainQ is more than just a tool; it serves as a gateway to unlocking the full potential of blockchain data,” said Michal Handerhan, COO of BTCS.

「ChainQ 不僅僅是一個工具；它是釋放區塊鏈數據全部潛力的門戶。

ChainQ’s user-friendly approach and powerful features empower users of all technical levels to explore, organize, and understand blockchain data in ways that were previously unattainable.

ChainQ 的用戶友好方法和強大功能使所有技術級別的用戶能夠以以前無法實現的方式探索、組織和理解區塊鏈數據。

Key Features of ChainQ

ChainQ的主要特點

Fast Access to Blockchain Data: ChainQ positions itself as a faster and simpler alternative to standard web search engines and complex blockchain explorers.

快速存取區塊鏈數據：ChainQ 將自己定位為標準網路搜尋引擎和複雜區塊鏈瀏覽器的更快、更簡單的替代方案。

Generative AI Technology: The platform incorporates advanced AI to enhance data exploration and analysis.

生成式人工智慧技術：該平台採用先進的人工智慧來增強數據探索和分析。

Intuitive Search Functionality: Features natural language queries for straightforward and efficient data searches.

直覺的搜尋功能：具有自然語言查詢功能，可實現簡單且有效率的資料搜尋。

Customizable Search Panel: Allows users to refine their search results to meet specific needs.

可自訂的搜尋面板：允許使用者優化搜尋結果以滿足特定需求。

Insightful Visualizations: Provides enhanced data comprehension through visual representations.

富有洞察力的視覺化：透過視覺表示提供增強的數據理解。

Support for SQL Queries: Enables saved searches and result exportation for further analysis.

支援 SQL 查詢：啟用已儲存的搜尋和結果匯出以便進一步分析。