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Creating and Publishing Custom Analytical Models

PRISM Explorer empowers users to create and publish their own analytical models, tailored to specific use cases or insights. This feature allows for highly customized blockchain analysis and the ability to share valuable insights with the community.

Key Features​

  1. Data Pipeline Integration

    • Set up automated data pipelines to keep your models up-to-date
    • Schedule regular model runs and result updates

  2. Visualization Tools

    • Create interactive dashboards to display your model results
    • Design custom charts and graphs to effectively communicate insights

  3. Sharing and Collaboration

    • Publish your models for others to use and build upon
    • Collaborate with other analysts to refine and improve models

Example Use Cases​

  1. Token Ecosystem Analysis: Create a model that tracks the health and growth of a specific token ecosystem, including metrics like user adoption, transaction volumes, and token velocity.

  2. DeFi Protocol Performance: Develop a custom analytics model to evaluate the performance of DeFi protocols, including liquidity trends, yield comparisons, and risk assessments.

  3. Wallet Profiling: Build a model that categorizes wallet behaviors, identifying patterns that could indicate different types of users (e.g., traders, long-term holders, bots).

  4. Market Sentiment Analysis: Combine on-chain data with external sources to create a sentiment analysis model for the Solana ecosystem.