Chain Insights AI Agents
Chain Insights is pioneering the development of smart AI agents powered by a fine-tuned large language model (LLM) integrated with advanced Knowledge Graphs, fast databases, and cutting-edge algorithms. These AI agents are designed to transform blockchain data into actionable insights, focusing on:
Our mission is to deliver infrastructure and tools that enable users to analyze, interpret, and gain deep insights into blockchain transactions, balances, and events.
How It Works
Chain Insights AI Agents will address critical challenges in the blockchain ecosystem by leveraging:
Anti-Money Laundering (AML)
Detect and prevent illegal activities by tracking and analyzing cryptocurrency movements across the network.Anomaly Detection
Identify irregular patterns—such as fraud, scams, or rug pulls—through continuous monitoring and predictive analytics.Pattern Detection
Discover groups of related addresses and repetitive transaction behaviors tied to specific events using advanced algorithms.Similarity Detection
Uncover relationships between nodes (addresses) and events (transactions) with machine learning models that detect hidden connections.Financial Crime Prevention
Strengthen security and compliance through proactive detection of illicit behaviors, helping safeguard the cryptocurrency ecosystem.
By combining these capabilities with scalable databases and dynamic knowledge graphs, Chain Insights AI Agents will provide a holistic solution for anyone looking to gain actionable intelligence from complex blockchain data.
Our Technical Innovations
High-Performance Data Indexing We use ETL processes to extract raw blockchain data, transform it, and load it into fast Clickhouse databases.
Real-Time Data Distribution
We Implemented a Kafka message brokers to handle millions of transactions per second.Advanced Knowledge Graphs
We leverage Neo4j and Memgraph for sophisticated relationship analysis and using GNN machine learning for labeling, classify and links addresses and relationships.Custom Infrastructure
We utilize high-end GPUs and AMD 4th Generation with DDR5 high speed memory systems to train and fine tune AI/ML models at scale.
Challenges We Have Solved
Blockchain technology is transformative, but its rapid growth presents significant challenges. Chain Insights addresses the following problems:
Storage & Speed Limitations
- Blockchain data requires between 4TB and 22TB of storage for popular blockchains, with LevelDB, RocksDB and PebbleDB using Json-RPC APIs making them impractical for data analysis.
Transaction Speed Requirements
- Leading blockchains such as Solana, Polygon, and Arbitrum process up to 200,000 transactions per second (TPS), demanding infrastructure capable of matching these speeds.
Database Inefficiencies
- Most blockchain nodes use database engines like LevelDB or RocksDB, which are not optimized for large-scale data analysis.
- Emerging alternatives like PebbleDB improve storage efficiency but remain unsuitable for advanced analytics.
- We leverage Clickhouse Database Engine by extract transform and load (ETL) for fast queries and data analysis
Complex Blockchain Data
- Blockchain data is encrypted and challenging for humans to interpret. Natural Language Processing (NLP) and machine learning with fine-tuning LLM models are required to make sense of this data.
Slow Querying of Blockchain Data
- Accessing blockchain states at specific points in time is time-intensive, requiring advanced indexing solutions that leverage Clickhouse, Kafka, Neo4j and Memgraph on High Availability Kubernetes clusters.
Key Offerings
Chain Insights will introduces services that redefine blockchain data analysis:
Transaction Stream Analysis
- A new category of blockchain data insights, focusing on the movement of cryptocurrency funds and balance changes.
DeFi and TradeFi Support
- Provide traders, exchanges, brokers, and liquidity providers with real-time alerts and insights for trading strategies and risk management.
- Enable trading applications and bots to subscribe to specific blockchain events via WebSocket connections.
User-Friendly AI Agents
- Will Offer free API endpoints to simplify blockchain analysis, making advanced insights accessible to everyone.
Risk Management Tools
- Deliver signals and insights for detecting irregularities, tracking whale activity, and identifying money flows that influence the market.
Competitors and Market Position
Chain Insights stands apart from existing solutions by addressing gaps in the blockchain analytics ecosystem. While competitors like Dune, Arkham Intelligence, and BitQuery provide APIs and dashboards, they are limited in scope and accessibility:
Closed-Source Centralized Solutions
- Dune & Arkham Intelligence: Offer dashboards and labeling but lack in-depth money flow analysis.
- BitQuery: Provides GraphQL access and Kafka streams but comes with high costs (starting at $25,000/year per blockchain) and don't provide AI tools just raw data.
Open Source Solutions
SubQuery with the token $SQT is a project that provides GraphQL endpoints for community-created subgraphs. They also provide blockchain data access through JSON RPC.
Our Differentiators
- Use of advanced databases (Neo4j, Memgraph, Clickhouse, Kafka).
- AI-driven insights for money flows, balance tracking, and anomaly detection.
Conclusion and Vision
Chain Insights is more than a blockchain explorer or node provider. By combining AI, advanced databases, and decentralized infrastructure, we will offer a unique and powerful solution for understanding cryptocurrency ecosystems. Our mission is to empower users with actionable insights for DeFi and TradeFI, enhance compliance with AML regulations, and combat financial crimes, paving the way for mainstream blockchain adoption.