# Data Layer

The Data Layer serves as the backbone of Trendence’s intelligence infrastructure, enabling high-quality data ingestion, enrichment, and distribution across all orchestration and agent execution processes. It ensures that every query, prompt, and response is supported by verified, up-to-date, and contextually relevant information.

This layer integrates both off-chain APIs and on-chain blockchain data, standardizing inputs for optimal agent performance and query resolution.

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**Key Components:**

1\. Integrated Data Feeds

Trendence connects with leading data providers such as CoinMarketCap, Dexscreener, Etherscan, Tweetscout, Solscan, and others to pull structured, up-to-date data.

Data types include:

* Token prices, volumes, and market cap
* Exchange listings, trading pairs, and liquidity metrics
* Protocol-level metadata and fundraising history
* Sentiment signals from social platforms
* Project roadmaps, unlock schedules, and token metrics

Trendence also approaches the integration of basic foundation models to ensure the coverage of the non-specific data for users like:&#x20;

* Anthropic Claude 3.7, 3.5 Sonnet
* Facebook Llama 3.2
* AWS Nova Pro, Lite
* GPT-4.5, GPT-4o
* Gemini 2.5 Pro
* DeepSeek-V3

All incoming data is normalized and cached, enabling low-latency access for both agents and external API consumers.

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2\. Historical Storage & Memory Systems

A persistent memory layer stores:

* User query logs and agent routing paths
* Aggregated multi-agent outputs for future reuse
* Performance scoring over time for agents and models

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This allows the Mastermind to learn from past executions, optimize agent selection dynamically, and surface historical insights where relevant. It also supports meta-analytics on agent efficiency and reliability over time.

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3\. On-Chain Data Connectors

Trendence supports blockchain-native analytics through connectors to networks like Ethereum, Solana, Base (with the further developments more chains are to be integrated). This includes:

* Wallet-level transaction data and behavioral patterns
* Token minting/burning events
* Protocol activity, staking flows, and liquidity tracking
* Cross-chain asset flows and DEX trade data

On-chain data is pre-processed and mapped to token, protocol, and wallet metadata to enable more granular, accurate DeFi and trading analysis.

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On-chain data is pre-processed and mapped to token, protocol, and wallet metadata to enable more granular, accurate DeFi and trading analysis. The Data Layer not only feeds the orchestration engine - it amplifies the intelligence of every connected agent, ensures consistency across the ecosystem, and serves as a critical component of Trendence’s long-term memory and learning stack.
