NEAR Analyst
Near Analyst uses AI agents on NearAI to make NEAR blockchain data accessible to anyone through natural language queries — no coding or SQL needed.
About
The problem it solves Accessing and analyzing data on the NEAR blockchain is not easy. For most users, it requires understanding the technical structure of the blockchain, writing complex SQL queries, and using specialized data platforms like Flipside Crypto. Even after retrieving the raw data, users still need to spend time interpreting it to find meaningful insights. This makes blockchain data exploration inaccessible for non-technical users, builders, community managers, and even many analysts. Valuable insights remain out of reach, slowing down decision-making, research, and innovation across the NEAR ecosystem. Near Analyst solves this by making NEAR blockchain data accessible to everyone. By using AI agents hosted on NearAI, we enable users to simply type natural language queries like “Show me NFT transactions over the last 30 days”, and instantly receive clear, human-readable insights. No SQL, no coding, no technical knowledge required. With Near Analyst, users can easily explore and understand NEAR blockchain data for a variety of use cases: NFT Market Analysis: Discover trends, track popular collections, and monitor activity over time. Ecosystem Insights: Understand transaction volumes, active wallets, and growth metrics. Community Monitoring: Track wallet interactions, token transfers, and user behaviors. Faster Decision Making: Builders and community managers can make data-driven decisions without waiting for analysts or writing queries themselves. Educational Tool: Onboard new users and help them understand blockchain activity in an accessible, friendly way. Near Analyst removes the technical barriers and makes on-chain data simple to explore. Whether you're a builder, analyst, investor, or just curious about the NEAR ecosystem, our tool helps you get fast, actionable insights effortlessly.
How it's made
Challenges we ran into Coinbase Agentkit Integration Limitations We initially planned to integrate Coinbase's Agentkit for better agent management. However, we discovered that it couldn't interact with our custom-deployed Saga L1 Chain, which led us to rethink our architecture. We decided to build directly on NearAI to ensure tighter integration with the NEAR ecosystem. Limited NearAI Documentation Since NearAI is relatively new, the documentation was sparse. We had to spend extra time experimenting and reverse-engineering parts of the integration process. Through trial and error, we managed to understand the platform’s quirks and got our agents running smoothly. Dynamic SQL Query Generation Complexity Translating natural language queries into accurate SQL statements was more challenging than expected. User inputs can be vague or ambiguous, which required us to fine-tune the AI prompts and add validation layers to avoid errors and ensure meaningful outputs.