Competitive advantages

# Why DeepCore is the leader in the next generation of web3 AI Agent architectures?

DeepCore

We are committed to: Redefining the Foundational Paradigm of Web3 AI Agents and Building the Future of Composable Intelligent Agents

DeepCore already supports most of the major LLMs on the market.

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DeepCore outperforms platforms like #Eliza, #ARC, #Swarms, and #Myshell with two key strengths(MCP & Deep Research), focusing on robust infrastructure:

• Quick Integration: Seamlessly integrates MCP services from CMC and CoinGecko.

• Service Deployment: Publishes its interfaces as MCP services for enhanced functionality.

I. Technical Paradigm Shift

DeepCore establishes the foundational OS for Web3 AI Agents, evolving from single-purpose tools to autonomous collaborative networks through: • Protocol-native MCP integration • Distributed node architecture • Incentive-aligned economic design

This transition from "AI+Chain" to "AI-as-Chain" delivers scalable, secure and equitable infrastructure, empowering developers to unlock the next wave of blockchain-AI convergence.

II. Core Innovations

1. Eliminating "Pseudo-Decentralization" Web3-Native Architecture: DeepCore moves beyond Web2 tech stacks to build a decentralized-first AI Agent infrastructure, ensuring data sovereignty and protocol autonomy.

2. MCP Protocol: The Universal Cross-Chain Interface • Protocol Leadership: First fully MCP-compatible ecosystem standardizing data interoperability • Technical Scalability: Seamless EVM (Ethereum, Base...) and non-EVM (Solana, Aptos) integration covering 90% of third-party on-chain scenarios

3. Deep Research Engine: On-Chain Intelligence Core Advanced task execution integrating Gemini, GPT, DeepCore and Claude models for multi-stage workflows: Data Collection → Analysis → Decision → Execution

4. Developer Revolution: Efficiency Breakthroughs • Natural Language Coding: Describe tasks (e.g. "Monitor trending Memecoins with 100% take-profit auto-trading") → AI generates executable code (10 days → 1 hour) • Visual Orchestration: Drag-and-drop modules (on-chain monitoring/MEV defense) with 80% efficiency gain (testnet verified)

5. Economic Model: Ecosystem Flywheel (The Token Economics book is the final word) Incentive alignment:

• Developers: Revenue Share + Reuse Royalties

• Users: $DPCORE rewards for on-chain data contributions

• Data Providers: MCP-standardized access with dynamic pricing

1. Open Ecosystem Expansion • Third-party plugin marketplace for MCP-compatible services (cross-chain oracles/compliance tools) • Accelerated scenario innovation through composability

III. Competitor Analysis: Technical & Product Capabilities

Dimension	Eliza	ARC	Swarms	DeepCore
Technical Stack	Wallet + LLM + Knowledge Base	Multi-Agent Coordination Framework	Distributed Agent Network	MCP Protocol + Deep Research Engine
Protocol Standard	✘ Relies on Centralized APIs	✘ Custom Communication Protocols	✘ No Unified Standards	✔ MCP Protocol (Cross-Chain/Cross-Platform)
Cross-Chain Support	⚠️ Single-Chain Data Only	✘ No Native Cross-Chain Capability	⚠️ Requires Plugins	✔ Multi-Chain Real-Time Data Access (EVM/Non-EVM)
Development Efficiency	⚠️ Manual API Integration	✘ High Code Complexity	✘ Complex Node Debugging	✔ No-Code Toolkit (5x Efficiency Gain)
Data Integration	✘Static Knowledge Base	⚠️ Limited Third-Party Sources	⚠️ Community-Driven Data	✔53+ Integrated Sources (CoinGecko/Dune)
Security	⚠️ Basic Access Control	✘Centralized Audits	⚠️ Distributed but No Verification	✔zk-SNARKs On-Chain Verification + Dynamic Policies
Key Use Cases	Chatbots/NLP Interactions	Multi-Agent Task Orchestration/AI App Store	Distributed Computing	Chatbots/NLP Interactions/Multi-Agent Task Orchestration/AI App Store

IV. DeepCore's Solutions for Three Core Stakeholders

Target Group	Core Empowerment
Developers	No-code agent toolkit + decentralized ownership system, eliminating technical barriers and third-party data integration challenges
Users	Composable AI App Store for building scenario-based solutions (e.g., DeFi strategies + social monitoring)
Third-party Data Providers	Standardized MCP protocol integration + dynamic pricing model, reducing technical adaptation costs by 90%

Three Industry Contradictions Addressed by DeepCore

1. Decentralization vs. Centralized Monopoly: Shatter Big Tech's control over AI capabilities via decentralized agent frameworks;

2. Data Sovereignty vs. Value Extraction: On-chain data ownership + contributor revenue sharing (≥n% rewards), enabling fair value redistribution;

3. Democratization vs. Technical Barriers: 5x developer efficiency gains with no-code tools, near-zero cost for long-tail innovation.

Built on the high-performance foundation of Solana, DeepCore creates Web3's "Intelligent Application Factory" through modular protocol stacks and collaborative networks. Developers can rapidly deploy AI Agents, users can freely combine functionalities, and all participants can share in the growth and value redistribution of the ecosystem.

This transition from "AI+Chain" to "AI-as-Chain" delivers scalable, secure and equitable infrastructure, empowering developers to unlock the next wave of blockchain-AI convergence.