PiraAI | Docs
  • Introduction
    • About PiraAI
  • Problems & Solution
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  • Core Features
    • Core Architecture
      • Multi-Agent Orchestration
      • Foundation Model Router
      • Tool Binding & Instruction Engine
  • Solana Integration Layer
  • Market Intelligence
    • Social Orchestration
    • Real-Time Market Data
    • KOL Sentiment Tracking
  • Security & Risk Management
  • Analytics & Deployment
  • TOKEN
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  1. Market Intelligence

Social Orchestration

PreviousMarket IntelligenceNextReal-Time Market Data

Last updated 20 days ago

Social Orchestration

PiraAI agents integrate directly with communication channels such as Telegram, Discord, and Twitter/X. Using LLM-powered intent parsing, agents can understand sentiment, automate moderation, or trigger actions based on real-time community dynamics.

Use cases include:

  • Detecting hype signals from Telegram memes

  • Auto-responding to Twitter alpha threads with on-chain analysis

  • Modulating behavior based on FUD, whale signals, or breaking news

Why it matters in Web3:

Most market moves start as a meme or a message. If your agent sees it before others — you act first.

Technical Highlights:

  • NLP pipeline for emoji/sarcasm/fud detection

  • Realtime WebSocket streams for message scraping

  • Social trigger → on-chain action binding (via MCP)

  • Transforms community spaces into data pipelines

  • Enables narrative-aware agents for pump/fud response