Technology Stack
A deep dive into the AI-powered technology stack that drives real-time blockchain interaction. Learn how our orchestration layer, language models, and integrated APIs deliver fast, relevant insights.
Last updated
A deep dive into the AI-powered technology stack that drives real-time blockchain interaction. Learn how our orchestration layer, language models, and integrated APIs deliver fast, relevant insights.
Last updated
At Sphera Link, we’ve built a technology stack designed to simplify and enhance real-time blockchain analysis. We tackle the complexity of processing vast amounts of on-chain data and market trends, transforming it into actionable insights for users. Here's a breakdown of the core technologies that power our platform:
Agentic Workflow: At the core of our system is a specialized agentic workflow. This workflow is designed to process user queries through various AI agents, each performing a specific tasks, such as sentiment analysis, market research, or technical analysis. These agents work in tandem to provide you with relevant, context-driven insights.
LangGraph Orchestration: To ensure smooth and efficient processing, we use the LangChain framework for orchestrating tasks across different AI agents. The LangGraph system directs these tasks, ensuring every query is handled by the right agent and processed in real-time.
Language Models: Sphera Link is powered by OpenAI’s GPT-4o language model. This ensures that our platform can interpret complex queries, generate detailed insights, and carry on natural, intuitive conversations with users.
Blockchain Data Providers: We integrate APIs from leading blockchain data providers. This gives our users access to real-time insights on wallet activity, transactions, market prices, and more.
Social Interactions: By aggregating posts and data from various social platforms, we gauge market sentiment in real-time, giving you a clear view of how investors feel about specific tokens or projects. This insight can help you anticipate market movements based on investor behavior.
RAG Data Pipeline: Using a Retrieval-Augmented Generation (RAG) approach, Sphera Link stores data in vectorized formats, allowing for rapid retrieval and accurate responses to user queries.
Telegram API: Our platform is fully integrated with Telegram’s API, offering users a familiar and seamless interface to access blockchain data, make payments, and engage with our AI agent.
This combination of advanced AI models, streamlined orchestration, and seamless integration allows us to deliver fast, actionable insights, helping you stay ahead in the fast-paced world of crypto.
Sphera Link’s AI architecture operates through a highly efficient system that handles user queries and delivers precise, actionable insights. The process begins when the user submits a query, which is then directed to the Supervisor Agent. This agent determines what kind of data is required, whether it's social sentiment, technical analysis, or blockchain data, and forwards the request to the appropriate part of the system.
At the core of this workflow is the AI Data Pipeline, which plays a crucial role in processing the data. It leverages a Retrieval-Augmented Generation (RAG) database, where we store relevant and current crypto market data, analysis, and reviews, wrapped with metadata to preserve context. This ensures the AI can retrieve relevant information quickly while maintaining the context of the user’s query.
The pipeline also aggregates real-time data from various blockchain and social platform providers. These include on-chain metrics, sentiment analysis from social platforms, and technical indicators. The Self-Validation step ensures that the retrieved data is accurate and relevant, refining the response before passing it along.
Once validated, the information reaches the Reviewer Agent, which further refines the response to ensure clarity and relevance. Finally, the system provides Follow-Up Suggestions to encourage users to explore related queries or actions, creating a dynamic and engaging experience.
This architecture allows Sphera Link to provide timely, reliable, and contextually accurate responses by combining data from blockchain analytics and social sentiment, ensuring users always receive the most relevant insights.