BTCS Inc. (BTCS), a blockchain technology-focused company, announces a major expansion of its AI-powered blockchain analytics platform, ChainQ . This latest enhancement introduces all historical Bitcoin blockchain data, coupled with substantially improved performance, further solidifying ChainQ as a premier solution for blockchain data exploration and analysis.
Unprecedented Access to Bitcoin’s Historical Data
With the addition of Bitcoin’s complete historical blockchain dataset, ChainQ enables users to seamlessly analyze Bitcoin transactions, addresses, and patterns dating back to its 2009 genesis block. This vast dataset provides researchers, investors, and developers with a powerful tool to derive insights into the world’s largest and most influential cryptocurrency.
" Integrating full Bitcoin blockchain data into ChainQ marks a significant milestone in providing unparalleled access to blockchain analytics," said Charles Allen, CEO of BTCS. " Bitcoin remains at the forefront of the cryptocurrency ecosystem, and now, with ChainQ’s enhanced capabilities, users can explore its entire transaction history with speed and precision. "
Enhanced Performance for Faster Insights
In addition to expanding ChainQ’s dataset, BTCS has implemented significant performance upgrades to accelerate data processing and query execution. These enhancements ensure:
- Faster search speeds , enabling near-instant retrieval of blockchain data.
- Optimized AI-driven indexing , improving the accuracy and depth of search results.
- Scalability improvements , preparing the platform for additional blockchain integrations in the future.
" We have not only expanded ChainQ’s capabilities but also vastly improved its efficiency," remarked Michal Handerhan, COO of BTCS. " Our advancements allow users to conduct deep blockchain research and analysis in a fraction of the time compared to traditional explorers. "
Key Features
- Full Bitcoin blockchain data , from the genesis block to the present.
- AI-driven search capabilities , offering intuitive natural language queries.
- Enhanced performance , with fast search speeds and query execution.
- Visualizations helping users interpret blockchain data with ease.
- SQL query support , enabling advanced data analysis and export options.