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FlipsideAI is an AI-driven blockchain intelligence platform designed to transform how developers, analysts, and product teams interact with on-chain data. Originally developed to enhance Flipside Crypto's internal data science capabilities, it is now publicly available to provide conversational access to blockchain analytics across more than 30 networks and over 7 trillion data points. Users can ask natural language questions about tokens, protocols, chains, or stablecoins, and FlipsideAI automatically generates and runs complex queries, returning results as text, charts, or tables. This approach lowers the barrier to entry for blockchain data analysis by removing the need to write SQL or understand complex data schemas.

The platform supports iterative conversations, allowing users to refine queries and explore data interactively. It includes features like customizable Rules to tailor the AI's personality and response style, team workspaces for collaborative analysis, and specialized Workflows that guide users through sophisticated analytical methods. Users can also upload their own CSV data to combine with Flipside's blockchain datasets, enabling custom, private analyses. FlipsideAI emphasizes transparency by allowing users to view and download the underlying queries and raw data.

What sets FlipsideAI apart is its integration of leading large language models (such as GPT, Claude, and Gemini) with one of the largest and most comprehensive blockchain data repositories. This combination enables both granular transaction-level insights and high-level aggregate metrics like total value locked (TVL). The platform's conversational interface and pre-trained analytical workflows make it accessible to users with varying levels of technical expertise, from data scientists to product managers. Adoption is growing among analytics teams in DeFi projects and enterprise blockchain users who need fast, reliable insights without building complex data pipelines.

Getting started with FlipsideAI involves visiting their chat interface, exploring example prompts from the community, and following the quickstart guide to learn effective prompting techniques. Comprehensive documentation covers customization, team collaboration, workflows, and data export options, making onboarding straightforward for new users.