Prism AI White Paper
  • Who am I?
  • Why Prism AI?
    • Breaking Through: Why Prism AI?
    • Multi-AI Agents
    • Prism Highlights
  • Core functionality
    • Technologies Used
    • Technical Reflections
    • Prism core framework
    • Use Cases
    • Tokenomics
    • Roadmap
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Use Cases

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Last updated 2 months ago

Leveraging Prism AI Agent for Advanced Insights into Crypton/MemeCoin Ecosystem

1. Initiating Queries and Intelligent Task Allocation

Users begin by submitting a query through the DApp, specifying their analysis target—such as evaluating a MemeCoin’s market dynamics. The system’s Router Module intelligently parses the input and allocates tasks to the most suitable agents (e.g., Market Agent, Media Agent). This seamless routing abstracts away the complexity, allowing users to focus solely on their goals.

2. Single-Agent Analytical Workflow

For straightforward queries, a selected Single Agent follows a streamlined analytical process:

  • Step 1: Intent Detection and Task Decomposition The agent interprets the user’s objective, breaking it into granular tasks like retrieving market data or monitoring community sentiment.

  • Step 2: Functional Execution and Data Retrieval APIs for blockchain networks or social platforms (e.g., Twitter, Telegram) are invoked to collect the latest data.

  • Step 3: Data Summarization via LLM Leveraging advanced language models, the agent synthesizes raw data into concise insights tailored to the user’s query.

3. Multi-Agent Collaborative Intelligence

For more complex scenarios, Prism’s Multi-Agent Module orchestrates a dynamic collaboration process:

  • Step 1: Task Planning The integrated Planner module structures a multi-phase execution flow, such as sequentially analyzing market trends, community activity, and on-chain metrics.

  • Step 2: Execution and Observation Different agents, like the Market Agent and Media Agent, work in parallel to fetch relevant datasets. Observations from one phase dynamically inform the subsequent steps.

  • Step 3: Iterative Feedback and Clarifications The system refines its insights through iterative loops, offering precise answers and adapting to any clarifications requested by the user.

4. Comprehensive Analysis and Feedback Delivery

Prism integrates outputs from various agents to generate a multi-dimensional insight report. The report may include:

  • Market Dynamics: Detailed metrics on token price fluctuations, trading volume, and volatility trends.

  • Community Pulse: Analytics on engagement levels and sentiment from platforms like Twitter and Telegram.

  • On-Chain Metrics: Summaries of token holder growth, transaction flows, and liquidity shifts.

5. Real-World Application

Illustrating the process with a practical scenario:

  • Objective: Analyze a specific MemeCoin’s ecosystem performance.

  • Execution:

    1. Market Data Extraction: Market Agent retrieves pricing and trading patterns.

    2. Community Monitoring: Media Agent tracks Telegram activity and Twitter mentions.

    3. On-Chain Analysis: Blockchain data is analyzed to assess token distribution and movement.

    4. Final Insights: A cohesive report reveals that “the project scores 85 on-chain, with community engagement rising by 10% and trading volume up by 32% over the past two hours.”

Prism AI empowers users with an advanced, AI-driven analytical framework that delivers actionable insights across multiple dimensions, enabling precise and informed decision-making in the fast-paced crypto ecosystem.