Autonomous AI data
orchestration layer
Trendence is the central intelligence layer that coordinates multiple LLMs and AI agents, aggregating API data to deliver precise, contextually relevant responses.
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Mastermind AI
Mastermind is a community-trained AI module featuring a smart routing system that splits queries by their semantic and logical traits, selecting the best agents for each subquery.
How it Works
Mastermind Engine
Divides initial prompt into logical subqueries via NLP tools and LLMs.
Aggregation Module
Merges outputs from multiple agents into a single coherent response.
Learning module
Collects complex feedback from users, modules, and ecosystem elements to build a comprehensive historical experience database.
Data Layer
Backbone of Trendence’s intelligence, powering high-quality data ingestion, enrichment, and coverage across orchestration and execution.
Contribution platfrom
Collects the user-driven data-set for the Trendence Mastermind learning.
Evaluation Module
Provides assessment of selected agents and quality of response to provided prompt and tags.
Features
Deversification for Accuracy
Mastermind runs agents selection aiming to satisfy the most specific query processing. Discover different categories and interact with the best AI-experience.
BASE Ecosystem
Solana Ecosystem
Swaps
Technical Analysis
Macro Insights
NFT Analytics
Bridges
Market analysis
Narrative Tracking
Solana Ecosystem
Social Sentiment
Tokenomics & Emission Analysis
Fundamental analysis
Events Monitoring
Narrative Tracking
Constantly Evolving Layer
Always kept up to date through the data sources module, a community of researchers, and feedback loops.
Mastermind AI
Community distributions
Researcher community
Data layer
Voting campaigns
Unbiased Validation
The evaluation module relies on user feedback and assessment methodology for both external and internal AI-modules check-up
Education Module
Evaluation Module
Aggregation Module
Simplified Integration
The API/SDK enables developers to integrate our solution, access data, and add their own agents to our platform through a voting process.
@ipfs.command()
@click.argument
("hash_",metavar="hash",type=str,required=True,)
@click.pass_context
def remove( click_context: click.Context, hash_: str ) -> None:
   pass
Quality Optimisation
Our connection layer boosts response quality beyond what typical LLMs and AI Agents can achieve. There is no need for multiple platforms - Trendence has everything you need.
General LLM
AI Agents
Trendence Mastermind AI