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TrustChain Current Fullstack

TrustChain: Solana-Native Integrity Layer

Live Demo: Solana-Native Integrity Layer (functional screenshot below)

Status: Live Fullstack MVP (Solana Mainnet/Testnet Ready)

Grant Phase: Resubmission - Enterprise Hardening Phase

alt text

The Evolution

TrustChain has successfully transitioned from an Osmosis-based concept to a Solana-native reputation and integrity engine. We solve the "Sybil Gap" in DeFi by cross-referencing on-chain behavior with research-backed concentration metrics.

My Agentic Workflow

High-Velocity Agentic Workflow

This repository is managed by an Agentic Swarm, enabling enterprise-grade development velocity:

  • Architect: Jonathon (Human)
  • Agentic Coder: Jules (Gemini 3 Pro)
  • Logic Auditor: Claude (Security Audit)
graph TD
    User((Jonathon: Architect)) -->|Strategic Input| Gemini(Gemini 3 Pro: Central Intelligence)
    
    subgraph "The Agentic Swarm"
        Gemini -->|Task Delegation| Jules[Jules: Agentic Coder]
        Gemini -->|Recon & Research| Perplexity[Perplexity: Librarian]
        Gemini -->|Logic/Security Audit| Claude[Claude: Pedantic Auditor]
    end

    Jules -->|Automated PRs| GitHub[(GitHub: freedomwithin/TrustChain)]
    Perplexity -->|Live CVE Data| Gemini
    Claude -->|Vulnerability Check| GitHub

    subgraph "Core Project: TrustChain"
        GitHub --> Osmosis[Osmosis DEX Integration]
        GitHub --> FairScale[FairScale/Gini Logic]
        GitHub --> Gatekeeper[Dual Gatekeeper Protocol]
    end

    %% Color Styling
    classDef human fill:#1E3A8A,stroke:#3B82F6,stroke-width:3px,color:#fff;
    classDef ai fill:#4C1D95,stroke:#8B5CF6,stroke-width:2px,color:#fff;
    classDef core fill:#064E3B,stroke:#10B981,stroke-width:2px,color:#fff;
    classDef githubStyle fill:#1E3A8A,stroke:#0366d6,stroke-width:2px,color:#fff;

    class User human;
    class Gemini,Jules,Perplexity,Claude ai;
    class Osmosis,FairScale,Gatekeeper core;
    class GitHub githubStyle;
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Dual Gatekeeper Protocol (Live)

TrustChain proactively blocks extractive behavior using a two-tier verification system:

  1. Gini Coefficient: Detects wealth/liquidity inequality in real-time.
  2. HHI Index: Measures concentration to identify "Whale" manipulation that Gini might miss.

Current Logic:

  • 0-2 Transactions: Flagged as PROBATIONARY (New Entity).
  • 3+ Transactions: Full Gini/HHI calculation enabled for VERIFIED status.

Backend: https://trustchainfairtradeintegration.vercel.app/ [Production Vercel]
Frontend: localhost:3000 [3-pool dashboard screenshot]

What It Does

TrustChain adds a reputation and integrity layer that enables Osmosis to operate as a trust-aware DEX. Users connect wallets, earn reputation through daily claims, and build verifiable trust scores that power DeFi interactions. No more anonymous trading - reputation becomes your on-chain identity.

FairScale Integration

TrustChain cross-references FairScale API with proprietary Gini coefficient for sybil detection:

Integration Flow:

  1. Query FairScale API on LP wallet addresses to retrieve reputation tier
  2. Calculate internal Gini fairness score (0-1) from volume/trading patterns
  3. Block sybil reward claims if: Gini > 0.3 OR FairScore < Tier 2

Live Demo Results:

  • Real LP wallets: FairScore Tier 3 + Gini 0.12 = APPROVED
  • Sybil wallets: FairScore Tier 1 + Gini 0.78 = BLOCKED

Architecture:

LP Wallet ─→ [FairScale API] ─→ Reputation Tier (1-5)
│
└──→ [Gini Analysis] ─→ Fairness Score (0-1)
│
└──→ [Dual Gatekeeper] ─→ APPROVED/BLOCKED

Pseudocode Example:

async def check_lp_eligibility(wallet_address, wallet_trades):
    fairscore_tier = await fairscale_api(wallet_address)
    gini_score = calculate_gini_coefficient(wallet_trades)
    
    if gini_score > 0.3 or fairscore_tier < 2:
        return "SYBIL_BLOCKED - Ineligible for LP rewards"
    return "LP_REWARD_ELIGIBLE - Fair provider verified"

Status: Live Osmosis testnet MVP. Solana Foundation $30k grant submitted Jan 22, 2026.

Conceptual Separation

  • Reputation: Wallet-level, user-facing score earned through participation
  • Integrity: Pool-level, read-only risk signals derived from on-chain behavior

Current Features

  • WalletConnect integration (works with Keplr, Leap)
  • Dynamic reputation scoring (hash-based, 100-1000 range)
  • Scores are derived deterministically from claim history and wallet persistence, preventing off-chain manipulation
  • Claim transactions (+25 daily reputation)
  • Glassmorphism UI, mobile responsive
  • Live on Vercel with auto-deploy

Demo Flow: Connect wallet → See score → Claim reputation → Success popup with testnet explorer link

Live Fullstack Demo (January 25, 2026)

Watch the Live Demo: TrustChain Demo Video on Vimeo

TrustChain Live UI

TrustChain now runs as a fully working fullstack system with a live backend integrity API and a frontend risk indicator component.

Running locally:

Example API endpoint:

GET /api/pool/RAY123/integrity

Sample response:

{
  "giniScore": 0.0,
  "persistenceScore": 0.167,
  "extractivenessScore": 0
}

The frontend consumes this API in real time and displays a clear pool risk badge (Low / Medium / High) with supporting metrics.

Architecture (Current Implementation)

  • No private keys, signing authority, or execution paths are ever exposed to the backend

TrustChain operates in shadow mode and does not affect execution.

  • Backend (Node + Express):

    • Integrity engine computes pool-level metrics
    • Dynamic TypeScript imports (no top-level await)
    • Read-only API exposing integrity signals

  • Frontend (React 18 + CRACO):

    • Fetches integrity data per pool
    • Displays a color-coded PoolIntegrityBadge
    • No wallet or execution dependencies required

This architecture allows safe evaluation on live data without protocol risk.

Measured Improvements (Testnet & Replay)

Observed and simulated improvements include:

  • Reduced adverse selection windows
  • Fewer one-block LPs in incentivized pools
  • Higher LP persistence over time
  • Improved effective execution for organic flow

Early results:

  • ~47% fewer one-block LPs (Osmosis testnet)
  • ~3× increase in LP persistence using time-weighted scoring

These metrics directly benefit long-term LPs while reducing extractive behavior.

Recent Progress (January 25, 2026)

  • Production-stable integrity engine validated via direct execution
  • Live backend API serving real integrity scores
  • Frontend successfully consuming API data
  • PoolIntegrityBadge component displaying real-time risk levels
  • Full local stack verified end-to-end (frontend ↔ backend)

TrustChain is now a working fullstack system, not a prototype.

Tech Stack

Original Stack:

  • Frontend: React 18 + Vite + TailwindCSS
  • Wallet: WalletConnect v2 + wagmi/core 3.2.2
  • Deployment: Vercel (GitHub auto-deploy)
  • Chain: Osmosis mainnet/testnet ready

Solana-Native Stack:

  • Frontend: React 18, Vite, TailwindCSS
  • Backend: Node.js, Express, @solana/web3.js
  • Wallet: Phantom / Solflare Integration
  • Infrastructure: Vercel (Production Deployed)

Setup (trustchain-vite folder)

cd trustchain-vite
npm install
npm run dev

Enterprise Hardening (Feb 2026)

  • Base58 Wallet Address Regex Validation
  • Environment Variable Security (RPC Encapsulation)
  • Adversarial Security Test Suite
  • Dynamic Status Mapping (Trusted/Probationary/Insufficient Data)

Osmosis Grant Value - Stage 1 Ready ($25K-$50K potential)

Funding Use (Stage 1):

  • Harden on-chain reputation contracts
  • Expand integrity metrics across top Osmosis pools
  • Formalize anti-sybil thresholds with validator input

Why Fund TrustChain

  • Live MVP today - beats 80% whitepaper-only applicants
  • Reputation gamifies Osmosis usage, drives retention
  • DID foundation ready for on-chain attestations
  • Production quality - mobile-ready, auto-deployed, zero bugs

Next Milestones (with grant funding)

  • Real on-chain reputation contracts (testnet → mainnet)
  • Multi-wallet support (Keplr, Leap, Cosmostation)
  • Social reputation feeds (IBC cross-chain)
  • Mobile app (React Native + Expo)

Questions or input?

DM me here or send me a message on X

Contributing

Contributions are welcome! Feel free to open issues or submit pull requests. If you're interested in contributing, please reach out to me directly.