Trendence.ai
  • Introduction
    • The AI Fragmentation Problem
    • Core Problems
    • What is Trendence?
  • Vision and Mission
    • Vision
    • Mission
  • Trendence Solution
    • Trendence Solution
  • System Architecture
    • Architecture Approach
    • Application Layer
    • Orchestration Layer
    • Data Layer
    • Execution Layer
  • Terminal
    • Agent Categories
    • Modes
    • Evaluation & Ranking
  • Developer Ecosystem
    • Integration via API/SDK
    • Contribution Mechanisms
    • Quality Control System
  • Token Utility ($TREND)
    • $TREND
  • Business Model
    • Subscription Tiers
    • API/Data Licensing Revenue
    • Agent Monetization Split
  • Governance
    • DAO Governance
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  1. Terminal

Agent Categories

Trendence Terminal is the operational interface for discovering, interacting with, and managing a diverse ecosystem of AI agents across specialized domains. It acts as both a user gateway and a coordination shell for orchestrating multi-agent workflows through a single, unified framework.

Agents within the Trendence ecosystem are indexed, tagged, and continuously ranked based on functionality, domain specialization, and real-world performance.

This modular structure allows users to discover, combine, and activate agents tailored to their exact use case. Key categories include:

  • DeFAI & Trading Agents

    Automate token swaps, liquidity provision, portfolio rebalancing, LP optimization, cross-chain routing, copytrading, and real-time PnL tracking.

  • Research Agents

    Perform protocol deep dives, analyze tokenomics, team credibility, VC funding rounds, and interpret on-chain behavior, monitor narratives, extract projects documentation.

  • Automation Agents

    Trigger task execution based on custom logic or events, coordinate multi-step workflows, manage agent handoffs, and enforce conditional routing.

  • Productivity & General AI

    Summarization, Q&A, context-aware report generation, content rewriting, document parsing, and templated content creation.

  • Sentiment & Signal Agents

    Track crypto social sentiment, trend emergence, whale activity, influencer signals, token virality, and Twitter/X-based positioning.

  • Compliance & Risk Agents

    Run checks on wallet behavior, KYT flags, protocol exploits, DeFi risk scores, and blacklist/allowlist verifications.

  • Custom Domain-Specific Agents

    User-trained models optimized for specific verticals—DeFi, RWAs, gaming, governance, or specific ecosystems (e.g., Solana, Cosmos, zkSync).

This modular approach allows users to query specific verticals or blend agents across categories for composite tasks.

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Last updated 1 month ago

Terminal Interface
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