Integration Grants Application ‘25 : Footprint Analytics

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【Application Introduction】

Name of the project: Footprint Analytics

Problem statement in the existing Conflux ecosystem
[ Problem Statement]
While Conflux has a strong technical foundation with high throughput and a unique hybrid consensus, there is still a gap in accessible, intelligent on-chain data tools. This gap creates several challenges for the broader ecosystem:

  1. High data barrier: Accessing Conflux data today requires technical knowledge like SQL or API programming. This limits usage by community analysts, operations teams, and non-technical builders.
  2. Lack of Intelligent Interfaces: Current data tools primarily consist of charts, tables, or code interfaces, which cannot be directly integrated with emerging AI agents, limiting intelligent innovation within the ecosystem.
  3. Low Efficiency in Ecosystem Development: The absence of standardized data “modules” for reuse means that each project must start from scratch in handling data, resulting in low efficiency and high costs.

[Proposed Solution]
We propose to deliver a Conflux chain MCPs and MCP toolkit for the Conflux ecosystem. This will make Conflux on-chain data easier to access, reuse, and integrate into applications or AI agents.

  1. Conflux chain data MCPs:
  • We will build a set of standardized, ready-to-use MCPs that represent key on-chain data in a user- and AI-friendly format.
  • These MCPs allow community users, developers, analysts, and AI agents to access important data without writing complex queries.
  1. Conflux chain based MCPs:
  • Execution MCPs: wrap on-chain operations (e.g. swaps, cross-chain) as MCPs, enabling LLM-issued transaction commands to lower execution barriers.
  • MCP conversion tools: utilities to convert any API or dashboard into MCPs, empowering community creation and contribution of new MCP modules.
  1. Open agent framework enabling no-code users to build agentic apps:
  • Community can create Conflux AI assistants or AI analysts via natural language

Alignment of the project with the Conflux Network: Benefit to the Conflux Ecosystem
Footprint is committed not only to serving developers, but also to expanding Conflux’s user base by empowering analysts, AI developers, and Agent builders through AI and no-code tools. With AI and MCP, we aim to lower the barriers to blockchain use and drive broader ecosystem adoption.

  1. Lower the technical barrier for developers
  • Plug-and-play data modules: Developers can directly use ready-made MCPs instead of spending days building custom data pipelines, they can focus on product innovation
  1. Enable new types of builders: AI developers, Agent builders & no-code users
  • Our Web3 MCP Marketplace turns complex data and operations into reusable MCP modules, enabling developers to integrate data access and transaction capabilities effortlessly.
  • Non-developers such as marketers, analysts, or founders can use natural language tools powered by MCPs to interact with on-chain data, broadening who can “build” in the ecosystem. No need for deep protocol knowledge: MCPs expose common on-chain insights in a clean, accessible format.
  1. Foster a collaborative developer ecosystem
  • The MCP Toolkit allows any developer or community member to contribute new data modules, creating a growing library of reusable components.

Alignment of the project with the Conflux Network: Economic benefit
Footprint Analytics’ solutions drive on-chain economic activity by lowering transaction barriers, enabling sophisticated DeFi interactions, and enhancing Conflux’s market appeal.

  1. More developers: robust data infrastructure increases efficiency and draws in developers and analysts
  2. Enable AI applications: visual, low-code tools let AI builders analyze on-chain data and craft DeFi strategies
  3. Higher on-chain transaction: MCP combined with AI further lowers the barrier to on-chain trading by enabling automated trading, optimizing transaction paths, and identifying risks—ultimately driving more transactions

Demonstrate a competitive edge that differentiates it from other projects
Footprint Analytics differentiates itself as a one-stop, AI-driven platform for the Conflux ecosystem, combining on-chain data integration, Web3 MCPs, and Agent framework. We offer broader accessibility, innovative tools, and ecosystem-wide support, making us a unique partner for Conflux.

  1. All-in-one AI-driven platform: Seamlessly integrates on-chain data, a Web3 MCPs, and an Agent framework.
  2. Broad accessibility: Standardized and reusable data formats lower the integration barrier for developers.
  3. “Insights‑to‑trade” workflow: No-code tools enable instant transition from analytics to automated transaction execution.
  4. Natural-language interface: Build MCPs and Agentic apps with simple prompts—no coding required.
  5. Modular extensibility: Community can easily convert APIs or dashboards into MCP modules, fostering rapid ecosystem innovation.

Links to the projects webpage, DApp, socials and chat groups

Conflux eSpace grant recipient wallet address
0x1f0A4eb02d9BEfBd1538E8D230699d4e434CDbEE

Are you an incorporated startup?
Yes, we are located in Singapore

【Technical Introduction】
Purpose of the system
To build a modular, developer-friendly data access layer for the Conflux ecosystem by delivering data MCPs. These MCPs will make on-chain data easier to access, understand, and integrate—enabling faster dApp development, powering AI assistants, and lowering the barrier for both technical and non-technical builders to use Conflux data meaningfully.

Existing Solutions and Feasibility Study
Current solutions like blockchain explorers and raw data APIs offer limited usability for non-technical users and lack modular, AI-friendly interfaces.

Our proposed solution builds on proven concepts, and leverages our team’s existing infrastructure and experience in data indexing, dashboarding, and AI integration.

Scope of the System

  • Data MCP: Integration Conflux’s on-chain data (e.g., transactions, token transfers, blocks).
  • MCP module (Execution MCP, Community MCP)
  • Flexible Agent Framework with no-code Agent creation

Objectives and Success Criteria

  • Users can call Conflux MCPs within LLM workflows to access and analyze data
  • Developers can convert on-chain data, swaps, and dashboards into MCPs with one-click tools
  • Users can create and deploy Conflux-focused Agentic Apps to answer ecosystem and development questions

Identify definitions, acronyms, and abbreviations: NA

Include any references: NA

【Technical Proposal】
Functional overview of your system
Identify all of the core aspects of your system and elements to uphold its functionality
Our system consists of 2 main parts:

  • MCP layer
  • Agent Framework

Modular AI Agents

  • Customizable: Creates AI teams for development, research，marketing, and more
  • Zero-Code Transformation：Transform any API into agent-executable logic without coding
  • All-in-One AI Tool Hub：Bridge tool providers, MCP discovery, MCP cloud deployment and MCP-based agent creation on one single platform
  • Dynamic Tool Discovery：Explore and match the perfect tools for any agent or task, based on their capabilities instantly
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Legal and Licensing Aspects

  • On-Chain Data Transparency: All integration Conflux data remains verifiable on-chain, ensuring full transparency and auditability.
  • Open-Source MCPs: All Model Context Protocol modules (Data, Execution, Community) are released under the MIT license, encouraging community inspection, reuse, and contribution.
  • Data Rights & Privacy: We integrate only public on-chain data; no private or user-sensitive information is stored or exposed.
  • Compliance: Footprint Analytics complies with applicable Singapore regulations and international data standards.

Non-functional overview

  1. Usability
    Footprint is designed to simplify blockchain data. With data MCP and AI framework, we have lowered the barrier to using blockchain data. Our goal is to make blockchain data accessible and useful to everyone.

  2. Reliability
    Our MCP ensures 99.9% uptime through automated schema validation and fault-tolerant, zero-downtime deployments.

  3. Performance
    Our MCP ensures consistent performance with stable, uninterrupted operation and second query responses, providing a seamless and responsive user experience through robust systems.

  4. Implementation
    Ensure seamless integration with the Conflux’s chain data

  5. User interface

  • Provide a data MCP server which includes multiple mcp tools for conflux’s ecosystem
  • Provide no-code agentic framework for Conflux‘s users and developers

【Total Budget】
Grant Size: What is the total grant amount begin requested?
We are applying for a total grant amount of $10,000.

Justification: Break down the activities and costs associated with requested grant amount
Budget breakdown:

  1. Human resources involvement (60% of the funds)
    1.1 Technical resources for data integration and function development
    1.2 MCP server maintenance
    1.3 LLM optimization.
  2. Server costs (40% of the funds)
    2.1 LLM invocation
    2.2 Data storage
    2.3 Computing resources according to different data metrics

【Development Roadmap】
Milestone - Conflux Data MCPs and Conflux Agentic app

Provide Data MCP and Agentic Apps to the community, promoting on-chain data usage and engaging AI builders.

  1. Deliverables: Please check the document for detailed deliverables
  • Conflux Data MCP
  • Conflux Agentic app
  1. Request Funding: $10000
  2. Duration: 4 weeks

【Team】
Tony Zhang

  • Co-founder & CEO
  • As a serial entrepreneur with extensive experience in AI-driven financial products, quantitative investments, enterprise technology and social media, Tony has led global teams in developing cutting-edge financial applications and eCommerce solutions across Wall Street and Asia,
  • He previously served as Senior Vice President at Bank of America and Director at Merrill Lynch. Tony also worked at Goldman Sachs, JPMorgan Chase, and Lehman Brothers.
  • He earned his Master of Computer Science from Columbia University, which provided him with a solid foundation in AI and data science that he has applied throughout his career.
  • https://www.linkedin.com/in/tzhang88/

Wade Deng

  • Co-founder & CTO
  • A seasoned technology executive with over a decade of experience driving innovation in financial systems and decentralized technologies.
  • As CTO at a leading fintech firm, he architected mission-critical anti-fraud infrastructure protecting multi-billion dollar transactions while pioneering machine learning models that revolutionized credit risk assessment frameworks.
  • He led a crypto trading team, which he directed a quantitative trading team developing low-latency algorithmic strategies for centralized exchange platforms, demonstrating deep expertise in blockchain system architectures and market microstructure optimization.
  • https://www.linkedin.com/in/wade-deng-84bb8b6b/