Please describe your proposed solution
Cardano generates a vast amount of on-chain DeFi data, including smart contract interactions, token transfers, and liquidity movements. However, this raw blockchain data is difficult to access and analyze directly due to a lack of developer-friendly tools. Current solutions do not provide the necessary flexibility for developers to build custom dashboards or extract specific insights from raw blockchain data.
Without tools that convert this data into a queryable format, developers face challenges in:
- Whale Watching:
- Similar to Dune’s tracking of large token holders, our toolkit can allow developers to monitor Cardano whales by building dashboards that track large transactions, token swaps, and staking movements.
- Yield Farming & DeFi Analytics:
- On Dune, users often create dashboards to track liquidity pools, yield farming, and staking performance. Developers can build dashboards to analyze yield over time, optimize DeFi strategies, and monitor staking rewards on Cardano.
- Cross-Protocol Analytics:
- Just like Dune supports cross-chain queries, developers using our toolkit can analyze multiple Cardano dApps (such as decentralized exchanges and lending protocols) to track liquidity across platforms, borrowing/lending rates, and protocol usage.
This lack of access to structured, real-time data prevents the accessing of valuable insights, leading to missed opportunities for optimizing dApps, making informed decisions, or conducting in-depth research.
We propose the development of an LLM-compatible open-source toolkit specifically designed to convert Cardano blockchain raw data into SQL-compatible data feeds. This will allow developers to query and analyze the data, using SQL, and build customized real-time dashboards to visualize insights directly. The toolkit will also feature an LLM integration, allowing developers to convert complex queries and dashboards into intelligent natural language insights.
How It Works (Technical Details)
1. Data Extraction and Conversion:
The toolkit will include a data extraction layer that interfaces directly with the Cardano blockchain. It will aggregate on-chain data from various sources, including transaction history, smart contract executions, liquidity pool interactions, and token transfers. This data will be structured and converted into SQL-compatible formats.
Technical Components:
- Cardano Node Access: Direct interaction with Cardano full nodes to access transaction and block data.
- ETL Pipeline: An extract-transform-load pipeline that processes and structures raw blockchain data into predefined relational tables, enabling SQL queries.
- Data Enrichment: The pipeline will perform real-time data enrichment, aggregating key metrics like liquidity, token balances, and transaction volumes.
2. SQL-Based Querying:
Developers will interact with this data via an SQL query engine. The toolkit will provide predefined tables for the most critical metrics (e.g., liquidity pool movements, token interactions), allowing developers to query specific data in real-time using SQL.
SQL Query Example:
For tracking how much liquidity an address adds or removes from liquidity pools:
> SELECT timestamp, pool_id, liquidity_added, liquidity_removed
> FROM liquidity_pool_interactions
> WHERE address = 'specific_address'
> ORDER BY timestamp DESC;
Functionality:
- Real-Time Queries: Querying will reflect real-time data fetched from the Cardano blockchain.
- Pre-Defined Data Models: Developers will have access to predefined tables for common DeFi metrics like liquidity pool activities, token flows, and smart contract events.
3. Custom Dashboards:
The toolkit will allow developers to create custom dashboards by combining multiple SQL queries. Dashboards can be created to monitor real-time DeFi metrics or display historical trends across Cardano’s ecosystem.
Dashboard Features:
- Data Visualizations: SQL query results will be visualized in various formats (e.g., line charts, bar graphs, tables) for easy interpretation.
- Widget-Based Layout: Developers can create dashboards by dragging and dropping widgets that display different data visualizations.
Example Use Case:
A developer can create a dashboard to monitor the liquidity provided by a specific address across multiple liquidity pools. By combining the SQL query results, the dashboard will provide a real-time view of liquidity movements, token balances, and other key metrics for the specified address.
4. Real-Time Monitoring and Alerts:
The toolkit will include a real-time monitoring feature, allowing users to set up alerts for specific blockchain events. For example, developers can set alerts to be notified when liquidity in a pool drops below a certain threshold or when large token movements occur.
Alert Configuration Example:
> CREATE ALERT liquidity_alert
> ON liquidity_pool_interactions
> WHEN liquidity_added < 1000
> NOTIFY 'email_address';
- Real-Time Alerts: Developers can configure alerts based on real-time data and receive notifications when specified conditions are met.
- Event-Driven Triggers: Alerts will be triggered by blockchain events like token transfers, liquidity changes, and contract interactions.
5. LLM Integration for Natural Language Insights:
The toolkit will feature an LLM integration that enables developers to convert SQL queries and dashboard results into natural language insights. This will allow for a more intuitive interpretation of complex blockchain data.
Example:
A developer might query the liquidity pool data for a specific address. The LLM integration can convert the query results into natural language:
- Query: "What is the total liquidity added by Address X in the past 30 days?"
- Natural Language Response: "In the past 30 days, Address X has added a total of 15,000 ADA in liquidity across three liquidity pools."
This feature will simplify the interaction with complex data and help users who are less familiar with SQL but still need actionable insights.
Modular Components Overview:
- Data Extraction Layer: Extracts raw data from the Cardano blockchain (transaction data, smart contract interactions).
- SQL Conversion Module: Converts raw blockchain data into SQL-compatible formats for easy querying.
- Query Engine: Executes SQL queries on pre-structured Cardano data (e.g., liquidity pools, token transfers).
- Dashboard Builder: Allows users to build custom dashboards with real-time data visualizations.
- Alert System: Provides real-time alerts for blockchain events based on custom SQL query conditions.
- LLM Integration: Converts SQL query results into intelligent natural language insights for easier data interpretation.
Target Users (Developer-Oriented Use Cases)
- Developers:
- Create custom dashboards to track smart contract performance, liquidity pool activities, and token flows in real-time.
- DeFi Traders:
- Analyze liquidity shifts, token volumes, and set up real-time alerts to capitalize on market changes.
- Blockchain Researchers:
- Extract and analyze historical on-chain data, providing deeper insights into trends and blockchain behavior.
Benefits to the Cardano Ecosystem
- Enhanced Data Accessibility:
- Developers will gain easy access to structured blockchain data, enabling detailed analysis and the creation of custom dashboards.
- Real-Time Monitoring:
- Real-time data access and alerting capabilities will allow for better decision-making and faster responses to blockchain events.
- Data-Driven Insights:
- By converting raw blockchain data into SQL-compatible formats, developers can perform complex queries and gain valuable insights to optimize dApps and DeFi strategies.
To keep the scope realistic, the initial toolkit will focus on:
- Whale Watching: Track large transactions and liquidity shifts by major holders.
- Cross-Platform Analysis: Monitor liquidity flows and lending rates across Cardano DeFi dApps.
- Yield Farming Analytics: Analyze yield performance and staking rewards to optimize DeFi strategies.
The toolkit will include real-time alerts and LLM-based insights for easier data interpretation. As an open-source project, it will expand to support more use cases as community contributions grow.
Conclusion
This open-source toolkit will empower developers to unlock the full potential of Cardano’s on-chain data by converting it into SQL-compatible feeds, facilitating real-time queries, custom dashboards, and intelligent natural language insights. By providing a flexible, developer-focused toolset, this solution will drive innovation and improve the efficiency of on-chain data analysis across the Cardano ecosystem.