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. Developer Ecosystem

Integration via API/SDK

Trendence is built with extensibility at its core. The platform offers developers and data providers a streamlined integration pathway through robust APIs, SDKs, and governance-enabled contribution channels that allow for agent onboarding, data stream integration, and participation in reward-driven ecosystem growth.

Developers can integrate directly with the Trendence orchestration layer using a modular SDK and API suite that supports seamless interoperability:

• Multi-language support: Typescript, Golang, Rust

• Integration APIs and boilerplates for connecting agents and data sources to Trendence

• Mastermind Integration SDK enables developers to seamlessly connect Trendence

• Data layer connectors and analytics widget APIs

This allows seamless integration of external agents, proprietary datasets, or applications into the Trendence system.

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Last updated 1 month ago

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