Hgraph
Hgraph provides a production-grade data layer for onchain finance, transforming raw blockchain consensus into real-time, query-ready data accessible via a single API key across GraphQL, SQL, REST, JSON-RPC, and MCP interfaces. The platform operates bare-metal archive nodes on owned hardware, capturing complete chain history from genesis, with reorg-aware pipelines and LLM-optimized responses for AI agents.
- Blockchain & Cryptocurrency
- Web3 & NFTs
- Developer Tools
- Financial Technology
- Software Only
- Artificial Intelligence
- AI Agents
Funding
Founders
Founder details are not available yet.
Product
Problem
Blockchain teams building financial applications face significant friction accessing reliable, query-ready onchain data. Raw node infrastructure requires heavy engineering effort to operate, while existing data providers often sacrifice full-history depth, real-time accuracy, or AI-friendly access patterns, forcing teams to choose between slow custom indexing pipelines and incomplete third-party datasets.
Solution
Hgraph provides a production-grade data layer that transforms raw blockchain consensus into structured, query-ready information the moment blocks land. The platform operates bare-metal archive nodes on owned hardware, capturing complete chain history from genesis, and exposes that data through a single API key across GraphQL, SQL, REST, JSON-RPC, and MCP interfaces. Reorg-aware pipelines keep every record synchronized block-by-block, while automatic human-readable value conversions and LLM-ready responses make the data accessible to both traditional applications and AI agents. Hgraph also offers managed validators, low-latency RPC endpoints, and built-in observability, delivering end-to-end infrastructure that stays current across every supported network.
Target Audience
Primary customers are financial application developers, quantitative trading firms, and AI/ML teams building on blockchain data, as well as Web3 protocols needing reliable infrastructure for production workloads.
Features
- Reorg-aware indexing pipelines that keep every record in sync with the chain, block by block, ensuring data accuracy
- Automatic human-readable value conversions and LLM-optimized responses for AI agent consumption
- Low-latency, globally routed RPC endpoints with live health, latency, and usage observability exposed per endpoint
- Cross-chain asset bridging services with end-to-end indexing across all connected networks
- Single API key access across GraphQL, SQL, REST, JSON-RPC, and MCP interfaces with WebSocket subscriptions
- Bare-metal archive nodes on owned hardware capturing complete chain history from genesis