The Hgraph company's AI efforts are dedicated to providing tools that simplify interaction with our infrastructure and software stack. Our mission is to empower developers, analysts, and technical teams to access and analyze blockchain data efficiently and accurately. We are starting with AI-driven solutions for query development in the Distributed Ledger Technology (DLT) space, with plans to expand our offerings to address a broader range of challenges in blockchain and beyond.
Learn More at Hgraph GitHub Org →
If you're reading this, you're early...
We currently offer the following tool to the public:
- Designed to help developers and analysts build and troubleshoot GraphQL queries for accessing Hedera Mirror Node data.
- Queries are utilized with our GraphQL API and in the playground in our account dashboard.
- Initially, offered as a Custom GPT, the GQL assistant aims to solve immediate customer painpoints (creating queries for the first time).
- Future plans for deeper integrations, hardware optimizations and more powerful, open source models.
Additionally, we have internal tools:
Hgraph SQL Assistant:
- Used for crafting and troubleshooting SQL queries.
- Internal use (and available to enterprise).
Hgraph GQL Super Assistant:
- Includes all the capabilities of the GQL query assistant.
- Has the ability to call the Hgraph API directly.
- Can deliver human readable data and visualizations.
- Internal testing only.
- Help in creating and refining GraphQL queries for optimal performance.
- Provide insights into Hedera’s transaction ecosystem, including smart contracts, token operations, HBAR transfers, and scheduled transactions.
- Generate production-ready queries that adhere to Hgraph’s schema and standards.
- Enable users to explore and analyze Hedera blockchain data with precision.
The Hgraph GQL Assistant follows a structured process to ensure reliability and accuracy:
- LLM Specific Documentation: Utilizes transaction type codes, schema definitions, and API response codes for precise query generation.
- Best Practices: Queries are built using Hgraph’s internal schema and established standards.
- Structured Workflow: A step-by-step approach for the LLM ensures that queries are efficient, compliant, and well-documented.
The Hgraph GQL Assistant is designed to support a variety of use cases for developers and analysts working with Hedera Mirror Node data:
- Token Analytics: Generate queries to track token performance, usage trends, and economic insights.
- Account History Exploration: Access transaction histories for audits or historical analysis.
- Contract Event Queries: Retrieve smart contract logs and events to monitor interactions or troubleshoot issues.
- Custom Solutions: Build tailored queries for dashboards, research, or application development.
By using the Hgraph GQL Assistant, users can reduce development time and ensure their queries are optimized for accuracy and performance. Learn more on the official documentation.
The Hgraph SQL and GQL assistants are in private development as we continue internal testing. We expect to launch new AI products this year.
Currently, the Hgraph GQL Assistant is available as a Custom GPT in the ChatGPT store. Easily access an expert GraphQL query assistant from anywhere, anytime and explore data on the Hedera mirror node using Hgraph's GraphQL API.
Please visit the Hgraph GitHub org or the official website for contact information. You can also reach our team at [email protected] to support our AI initiatives.