This platform’s AI engine translates natural language questions into complex SQL queries, returning answers as visual charts and reports.
Blockchain intelligence initiative Glint Analytics is launching an AI-powered platform that makes onchain data accessible through natural language queries, followed by a reward-driven marketplace for community-verified insights.
While blockchains are transparent by design, the vast sea of onchain data they produce remains largely inaccessible to the average person. Unlocking insights from this data has traditionally required specialized technical skills like SQL programming, creating a high barrier to entry that concentrates analytical power in the hands of a few experts.
This has left the majority of crypto users as passive consumers of data rather than active participants in its analysis. A new generation of tools, however, is addressing these barriers by leveraging artificial intelligence and natural language processing. These platforms make it possible to query complex onchain data without writing a line of code, transforming data analysis into a more accessible activity.
Among the projects developing such tools is Glint Analytics, a community-driven AI-powered blockchain intelligence platform. It is designed to make complex onchain data accessible to everyone through natural language queries, while rewarding users for contributing valuable insights.
Glint’s core feature is its ability to translate natural language into detailed onchain analytics. Users can ask a question in plain English, such as “Show me the top 5 memecoins on Solana by weekly volume,” and the platform’s AI engine automatically converts the prompt into a complex SQL query, executes it and returns the answer as a visual chart or report.
This technology removes the primary technical barrier that has kept most people from exploring blockchain data directly. The platform is currently in a closed beta with 50 analysts testing its features.
Glint also addresses the “extractive” model of many Web2-style platforms, where users generate valuable content but the platform captures all the economic upside. In contrast, Glint is building a reward-driven marketplace for blockchain intelligence. Analysts on the platform are directly incentivized to create, share and verify insights.
The system creates a collaborative economy where the value generated by data analysis is shared with the contributors. To combat the “hallucination” problem common in AI-generated content, the platform uses community engagement as a verification layer. As users interact with dashboards by liking, sharing and duplicating them, these actions create a social signal that increases confidence in the relevance and quality of the most popular insights.
“Glint’s vision is a world where anyone can be a blockchain analyst, and where the rewards of insight are shared by the community — not captured by platforms,” says Dhruv Chaturvedi, chief marketing officer of Glint Analytics.
The project’s roadmap is focused on a phased rollout. Following the closed beta, the public beta will open access to the wider community at the end of October 2025. The mainnet launch, scheduled for the end of the year, will introduce the full tokenized reward mechanisms and a marketplace for verified dashboards.
Long-term plans for 2026 include scaling to additional blockchains and launching application programming interface (API) access for other AI agents.
By combining AI-powered no-code data analysis with a reward-driven economy, Glint Analytics aims to build a new model for how intelligence is created and shared in the Web3 ecosystem, potentially transforming blockchain data from an inaccessible resource into a collaborative and incentivized marketplace where “curiosity pays.”
