Democratizing On-Chain Analytics
for Retail Users with hgraph.ai
A consumer-facing analytics platform combining an MCP Server and AI Data Agent to make on-chain analytics intuitive, personal, and accessible.
Client
Hgraph (Product & Platform Initiative)
Industry
Blockchain Data • Web3 Analytics • MCP Server & AI Data Agent
Overview
As participation in the Hedera ecosystem has grown, everyday users are increasingly interacting with decentralized applications, trading HTS tokens, and buying and selling NFTs. While these activities generate rich, transparent on-chain data, most retail participants lack accessible tools to understand or use that data meaningfully.
Hgraph built hgraph.ai, a consumer-facing analytics platform that combines an MCP Server and an AI Data Agent to make on-chain analytics intuitive, personal, and accessible to non-technical users across the Hedera ecosystem.
Challenge
Despite the transparency of blockchain networks, on-chain data remains difficult for retail users to interpret. Existing analytics tools are typically:
- Built for developers or professional traders.
- Fragmented across multiple dashboards and data sources.
- Dependent on technical queries, raw data inspection, or advanced financial knowledge.
As a result, everyday users struggle to:
- Track and understand their own transaction history and spending behavior
- Analyze HTS token trades and NFT activity.
- Make informed, data-driven decisions about their participation in the Hedera ecosystem.
This gap prevented many users from fully benefiting from the openness and transparency that decentralised networks are designed to provide.
Solution
Hgraph designed and built hgraph.ai, a unified analytics experience that abstracts away technical complexity while preserving accuracy, security, and user ownership of data. The platform is powered by two core components: an MCP Server and an AI Data Agent, built directly on top of Hgraph's data infrastructure.
Key Capabilities
MCP Server for Retail Analytics
The MCP Server aggregates, normalizes, contextualizes, and serves real-time, individual-level data from the Hedera network, including:
- Transaction histories
- HTS token trades
- NFT purchases and sales
This creates a consistent, queryable data layer optimized specifically for consumer analytics.
AI Data Agent with Natural Language Interaction
The AI Data Agent allows users to interact with their on-chain data using natural language. Users can ask questions such as:
- "What happened on the network yesterday?"
- "Show me my largest token trades."
- "How has my activity changed over time?"
The system returns personalized, easy-to-understand insights without requiring any technical background.
Freemium Access Model
hgraph.ai is offered through a freemium model: free access to core analytics and basic queries, with paid access to advanced insights, deeper analytics, and custom reporting. This approach ensures broad accessibility while supporting sustainable platform growth.
How It Works
On-chain data is ingested and indexed through Hgraph's data platform.
The MCP Server structures and exposes user-specific analytics in real time.
Wallet authentication ensures all queries are scoped to the user's own activity.
The AI Data Agent translates natural language questions into data queries.
Results are returned as clear, contextual insights rather than raw blockchain data.
This architecture enables advanced analytics to feel conversational, immediate, and intuitive.
Impact
With hgraph.ai, Hgraph has:
Outcome
hgraph.ai represents a shift in how blockchain analytics are delivered, treating data accessibility as a user experience challenge rather than a purely technical one.
By combining robust on-chain data infrastructure with wallet-native access and conversational AI, Hgraph has delivered a platform that empowers individuals to engage more confidently and responsibly with the Hedera ecosystem.
The result is a more inclusive, data-driven environment where on-chain transparency is usable by everyone, not just developers or professional traders.