ODX - Otaku Data Exchange sui

A Decentralized Data Market for Anime, Manga & Manhwa Fandom

ODX transforms fan engagement into a tradable, ownable asset. Think of it as a stock market, but instead of trading company shares, users trade tokens that represent the engagement and popularity of anime, manga, and manhwa IPs.

Problem Statement

The Centralized Data Problem

Fan engagement data is valuable, but currently controlled by centralized platforms:

Fans generate valuable data (likes, ratings, votes, predictions, memes, posts) that disappears into centralized databases
Users can't monetize their engagement - platforms profit from user data while users get nothing
No data ownership - users can't prove they created specific engagements or claim historical contributions
Data manipulation risk - centralized platforms can alter, delete, or censor user data
Lack of transparency - creators and fans lack transparent insights into genuine fan sentiment and trends
No attribution - early contributors and viral content creators can't prove their impact

The Trust Problem

Without decentralized storage:

Can't verify who made which engagement
Rewards could be gamed with fake accounts
No way to prove early contributor claims
Attribution disputes can't be resolved
Token prices could be manipulated with fake engagement

Solution Overview

ODX solves these problems by creating a decentralized data market where:

Fans own their data - All engagement is stored on Walrus with cryptographic proof of ownership
Data becomes valuable - Engagement data is aggregated into tokenized assets (IP Tokens)
Contributors are rewarded - Early and high-value contributors earn tokens
Transparent pricing - Token prices reflect real, verifiable community engagement
Tradable assets - Users can buy, sell, and trade IP tokens on a marketplace

Simply put: Fans own the data they generate, and that data has real value.

How It Works

1. Token Creation & Supply

Admin creates IP tokens for anime/manga/manhwa IPs (e.g., Chainsaw Man, One Piece, Solo Leveling)
Fixed supply: Each IP token has a limited supply (e.g., 200k tokens)
Initial distribution:
- Portion held by admin/platform
- Reserve pool for contributor rewards
- Initial distribution to early adopters

2. Fan Engagement & Data Ownership

Fans interact with the platform through multiple contribution types:

Ratings and reviews - Rate anime/manga titles (1-10 scale)
Memes and posts - Create and share content (images, videos, text)
Episode predictions - Predict episode release dates
Token price predictions - Predict token price movements
Stakes - Stake tokens on predictions to show confidence
Shares and promotions - Share content to drive engagement

Each engagement is:

Stored on Walrus (decentralized storage)
Signed with user's wallet (cryptographic proof of ownership)
Timestamped and immutable
Associated with specific IP token IDs

3. Data Aggregation & Token Value

All fan submissions for a particular IP are aggregated to form a Data Profile:

Token metrics include:

Average ratings across all contributors
Total number of unique contributors
Number of memes/posts created (viral content weighted higher)
Number of predictions made and their accuracy
Total stake volume (shows community confidence)
Engagement growth rate (new contributions over time)
Viral content scores

Token price calculation:

User Engagement (Walrus) + External Data (Nautilus) → Oracle Service → Combined Metrics → Token Price

Price increases as engagement/popularity grows, reflecting both genuine community interest (Walrus) and market reality (Nautilus).

4. Attribution & Rewards

The platform tracks and rewards contributors based on:

Early Engagement - First contributors to an IP get bonus tokens
Prediction Accuracy - Correct predictions earn more rewards
Viral Contributions - Content that drives engagement gets rewarded
Network Effects - Users who bring others to engage get a share

Rewards are distributed from the reserve pool proportionally to contribution value and timing.

5. Marketplace Trading

Users can:

Buy/sell IP tokens on the marketplace (spot trading)
Trade perpetual futures on token prices (advanced trading)
Speculate on future engagement trends

Price discovery combines:

Oracle-driven pricing - Based on aggregated engagement data from Walrus
Market-driven pricing - Supply/demand from trades
Hybrid model - Oracle sets base price, market adds premium

6. Complete User Flow Example

Lydia engages early with Chainsaw Man:
- Rates it 10/10
- Posts a viral meme
- Predicts "Will trend top 3 next week"
- Stakes 100 tokens on her prediction
- All data stored on Walrus with her wallet signature
Oracle service reads data from multiple sources:
- Queries all Chainsaw Man contributions from Walrus
- Verifies wallet signatures
- Fetches external metrics from Nautilus (MyAnimeList, AniList)
- Verifies Nautilus signatures
- Aggregates comprehensive metrics (user ratings, memes, posts, predictions, stakes + external popularity)
- Calculates combined engagement growth rate
Smart contract updates:
- Verifies Nautilus signatures on-chain
- Updates engagement metrics on-chain (user + external)
- Recalculates $CSM token price based on combined metrics (60% user engagement, 40% external popularity)
- Marks Lydia as early contributor
- Triggers reward distribution
Lydia receives rewards:
- $CSM tokens from reserve pool
- Bonus for early participation
- Bonus for viral meme
- Potential bonus if prediction is accurate
Marketplace activity:
- Traders buy $CSM tokens expecting price to rise
- If engagement spikes (new season, viral content), price rises
- Early contributors like Lydia can sell for profit

Walrus: The Core of Our Data Market

Walrus is not optional—it's the foundation of ODX's value proposition.

Why Walrus is Essential

1. True Data Ownership

Without Walrus:

Centralized databases mean the platform owns your data
Users can't prove they created specific engagements
Data can be manipulated or deleted by platform operators
No way to verify historical engagement claims

With Walrus:

Each engagement is stored on Walrus with a wallet signature
Users cryptographically prove ownership of their data
Data is immutable and timestamped
Users can verify their contributions independently

2. Decentralized & Trustless Storage

Key Benefits:

No Single Point of Failure - Data isn't stored on one server
Censorship Resistant - Can't be taken down by authorities
Transparent - Anyone can verify data exists and hasn't been tampered with
Permanent - Data persists even if ODX platform shuts down

3. Data Integrity for Price Calculation

The Flow:

User Engagement → Stored on Walrus → Oracle Reads → Aggregates → Updates Token Price

Why This Matters:

Token prices are based on real engagement data
Oracle can verify data authenticity via wallet signatures
Prevents fake engagement manipulation
Ensures price reflects genuine community interest

4. Attribution & Reward Verification

How It Works:

User rates/predicts/posts on an IP
Engagement stored on Walrus with wallet signature
Oracle service reads Walrus data
Smart contract verifies signature matches user wallet
Contributor record created/updated
Rewards distributed based on verified contributions

Without Walrus:

Can't prove who made which engagement
Rewards could be gamed with fake accounts
No way to verify early contributor claims
Attribution disputes can't be resolved

With Walrus:

Cryptographic proof of who created what
Timestamp proves early engagement
Immutable record prevents disputes
Transparent reward calculation

How Walrus Powers the Data Market

Comprehensive Contribution Storage

Walrus stores ALL contribution types that affect token price:

Rating/Review:

{
  "ip_token_id": "0x4e5dddb28eb25df63cb8b3d8be8f3a16bd40e7a044e7809bc9eb19cbc9cd3e2d",
  "user_wallet": "0x6df2465c7b9a88e9769a625b3af0afbf41ab61d86183d85eb5fa5b7bd0549c71",
  "engagement_type": "rating",
  "rating": 9,
  "review_text": "Amazing anime!",
  "timestamp": 1736629200,
  "signature": "0xdef456...",
  "walrus_cid": "bafybeigdyrzt5sfp7..."
}

Meme/Post:

{
  "ip_token_id": "0x4e5dddb28eb25df63cb8b3d8be8f3a16bd40e7a044e7809bc9eb19cbc9cd3e2d",
  "user_wallet": "0x6df...",
  "engagement_type": "meme",
  "content_cid": "bafybeigdyrzt5sfp7...",
  "caption": "When Denji meets Power",
  "tags": ["funny", "chainsaw-man"],
  "timestamp": 1736629200,
  "signature": "0xdef456...",
  "walrus_cid": "bafybeigdyrzt5sfp7..."
}

Episode Prediction:

{
  "ip_token_id": "0x4e5dddb28eb25df63cb8b3d8be8f3a16bd40e7a044e7809bc9eb19cbc9cd3e2d",
  "user_wallet": "0x6df...",
  "engagement_type": "episode_prediction",
  "prediction": "Episode 12 releases on Dec 25, 2024",
  "stake_amount": 100,
  "timestamp": 1736629200,
  "signature": "0xdef456...",
  "walrus_cid": "bafybeigdyrzt5sfp7..."
}

Token Price Prediction:

{
  "ip_token_id": "0x4e5dddb28eb25df63cb8b3d8be8f3a16bd40e7a044e7809bc9eb19cbc9cd3e2d",
  "user_wallet": "0x6df...",
  "engagement_type": "price_prediction",
  "prediction": "Will rise 30% this week",
  "prediction_type": "rise",
  "predicted_percentage": 30,
  "stake_amount": 500,
  "timestamp": 1736629200,
  "signature": "0xdef456...",
  "walrus_cid": "bafybeigdyrzt5sfp7..."
}

Stake on Prediction:

{
  "prediction_cid": "bafybeigdyrzt5sfp7...",
  "user_wallet": "0x6df...",
  "engagement_type": "stake",
  "stake_amount": 200,
  "timestamp": 1736629200,
  "signature": "0xdef456...",
  "walrus_cid": "bafybeigdyrzt5sfp7..."
}

Price Calculation Process

When token price needs to update:

Oracle service queries Walrus for ALL contributions for an IP token:
- All ratings and reviews
- All memes and fun posts
- All episode predictions
- All token price predictions
- All stakes on predictions
- All shares and promotions
Calculates comprehensive metrics:
- Average rating across all users
- Total number of unique contributors
- Number of memes posted (viral memes weighted higher)
- Number of posts created
- Number of predictions made
- Total stakes placed (shows community confidence)
- Engagement growth rate (new contributions this week vs last week)
- Prediction accuracy (how many predictions came true)
- Viral content score (memes/posts with high engagement)
Oracle calls smart contract to update metrics

Smart contract recalculates price:

new_price = base_price * (1 + growth_rate * multiplier)

Growth rate includes:
- Rating growth
- Meme/post engagement
- Prediction activity
- Stake volume
- Viral content impact

Updated price feeds into marketplace

Why Walrus Matters for Pricing:

Can't fake historical data (it's on Walrus with signatures)
Can verify ALL contributions independently
Price reflects TOTAL community engagement (not just ratings!)
Memes, posts, predictions, stakes - everything affects price
Dynamic platform where all otakus can contribute in their own way

The Data Market Architecture

┌─────────────┐
│   User      │
│  (Wallet)   │
└──────┬──────┘
       │
       │ 1. User rates/predicts/posts
       ▼
┌─────────────────────────────────┐
│      Frontend Application       │
│  - Rating interface             │
│  - Prediction form              │
│  - Post/meme upload             │
│  - Wallet connection            │
└──────┬──────────────────────────┘
       │
       │ 2. Sign engagement with wallet
       ▼
┌─────────────────────────────────┐
│         WALRUS STORAGE          │
│  - Stores engagement JSON       │
│  - Includes wallet signature    │
│  - Returns Content ID (CID)     │
│  - Immutable & timestamped      │
│                                 │
│  ALL contribution types:        │
│  - Ratings & reviews            │
│  - Memes & posts                │
│  - Episode predictions          │
│  - Price predictions            │
│  - Stakes                       │
│  - Shares & promotions          │
└──────┬──────────────────────────┘
       │
       │ 3. Oracle service reads
       ▼
┌─────────────────────────────────┐
│      Oracle Service             │
│  - Queries Walrus by IP         │
│  - Verifies signatures          │
│  - Aggregates ALL metrics       │
│  - Calculates growth rates      │
│  - Tracks viral content         │
└──────┬──────────────────────────┘
       │
       │ 4. Updates on-chain
       ▼
┌─────────────────────────────────┐
│    Sui Smart Contracts          │
│  - Updates EngagementMetrics    │
│  - Recalculates token price     │
│  - Updates contributor records  │
│  - Triggers reward distribution │
└─────────────────────────────────┘

Key Benefits of Walrus Integration

For Users:

Own your data with cryptographic proof
Portable data that follows you, not the platform
Verifiable early contributor status
Immutable engagement history

For the Platform:

Trustless system - don't need to trust platform
Transparent - all engagement data is publicly verifiable
Accurate pricing - token prices based on real, verified data
Fair rewards - can't game the system with fake engagements

For Token Holders:

Real value - token prices reflect genuine community engagement
Data integrity - can verify metrics independently
Price discovery - oracle-driven pricing based on real data

The Goal: Make ODX the biggest, most dynamic platform for all otakus! Every contribution matters:

Your meme can go viral and boost the token price
Your prediction can be accurate and earn rewards
Your stake shows confidence and affects market sentiment
Your post can spark discussions and increase engagement
Your rating contributes to overall IP score

Without Walrus, ODX would be just another centralized platform where the company owns user data. With Walrus, ODX becomes a true decentralized data market where users own their contributions (ALL types - not just ratings!) and token prices reflect genuine, comprehensive community engagement.

Nautilus: Verifiable External Data Oracle

Nautilus Oracle provides cryptographically verified external data to complement user contributions from Walrus.

Why Nautilus is Essential

1. External Truth Sources

The Problem:

User engagement data alone may not reflect broader market trends
Need to verify community sentiment against established platforms
Price manipulation risk if relying solely on internal data

The Solution:

Nautilus fetches data from trusted external sources (MyAnimeList, AniList, MangaDex)
Data is cryptographically signed by the Nautilus enclave
Provides verifiable "external truth" to validate community engagement

2. Secure Off-Chain Computation

How Nautilus Works:

Runs in an AWS Nitro Enclave (secure, isolated environment)
Fetches data from external APIs (MyAnimeList, AniList, MangaDex)
Cryptographically signs the data with enclave keys
Returns signed metrics that can be verified on-chain

Key Benefits:

Tamper-proof: Enclave ensures data integrity
Verifiable: Signatures can be verified on-chain
Transparent: Attestation documents prove enclave authenticity
Trustless: No need to trust a centralized oracle

3. Combined Data Pipeline

The Complete Flow:

User Contributions (Walrus) + External Data (Nautilus) → Oracle Service → Combined Metrics → Token Price

Data Sources Combined:

Walrus: User ratings, memes, posts, predictions, stakes (community engagement)
Nautilus: External ratings, popularity scores, member counts, trending data (market reality)

Price Calculation:

price = base_price * (1 + growth_factor)

growth_factor = (
  user_engagement_growth * 0.6 +      // 60% weight on community data
  external_popularity_growth * 0.4    // 40% weight on external truth
) * multiplier

How Nautilus Integrates with ODX

1. External Data Fetching

Oracle Service Workflow:

Oracle service calls Nautilus enclave with IP token name
Nautilus enclave fetches data from configured sources:
- MyAnimeList: Ratings, popularity, member counts
- AniList: Ratings, favorites, trending scores
- MangaDex: View counts, ratings, popularity metrics
Enclave signs the data cryptographically
Returns signed metrics to oracle service

Example Nautilus Response:

{
  "source": "myanimelist",
  "ip_name": "Chainsaw Man",
  "metrics": {
    "average_rating": 8.7,
    "popularity_rank": 15,
    "member_count": 2500000,
    "favorites_count": 450000
  },
  "signature": "0xabc123...",
  "timestamp": 1736629200,
  "attestation": "..."
}

2. Signature Verification

On-Chain Verification:

Smart contracts verify Nautilus signatures
Enclave public key registered on-chain
Attestation documents prove enclave authenticity
Prevents data manipulation and ensures trust

Verification Process:

Oracle receives signed data from Nautilus
Oracle forwards data + signature to smart contract
Smart contract verifies signature matches registered enclave key
If valid, metrics are accepted and used for price calculation

3. Combined Metrics Aggregation

Oracle Service Combines:

User Metrics (from Walrus):
- Average user ratings
- Total contributors
- Meme/post engagement
- Prediction activity
- Stake volume
External Metrics (from Nautilus):
- External average ratings
- Popularity scores
- Member/view counts
- Trending indicators
Combined Result:
- Weighted average ratings
- Comprehensive popularity score
- Growth rate (user + external trends)
- Market sentiment indicator

Nautilus Enclave Architecture

┌─────────────────────────────────┐
│   External APIs                 │
│   - MyAnimeList                 │
│   - AniList                     │
│   - MangaDex                    │
└──────────┬──────────────────────┘
           │
           │ Fetches data
           ▼
┌─────────────────────────────────┐
│   AWS Nitro Enclave             │
│   (Nautilus Server)             │
│                                 │
│   1. Fetches external data      │
│   2. Signs with enclave key     │
│   3. Returns signed metrics     │
└──────────┬──────────────────────┘
           │
           │ Signed data
           ▼
┌─────────────────────────────────┐
│   Oracle Service (Backend)      │
│   - Receives signed metrics     │
│   - Combines with Walrus data   │
│   - Forwards to smart contract  │
└──────────┬──────────────────────┘
           │
           │ Combined metrics
           ▼
┌─────────────────────────────────┐
│   Smart Contract (Sui)          │
│   - Verifies Nautilus signature │
│   - Updates engagement metrics  │
│   - Calculates token price      │
└─────────────────────────────────┘

Key Benefits of Nautilus Integration

For Users:

Accurate Pricing: Token prices reflect both community engagement and market reality
Transparency: Can verify external data sources independently
Trust: External data is cryptographically verified, not manipulated

For the Platform:

Robust Pricing: Multiple data sources prevent manipulation
Market Alignment: Prices align with established platforms
Verifiable: All external data can be independently verified on-chain

For Token Holders:

Real Value: Token prices based on comprehensive, verified data
Market Validation: External data validates community sentiment
Fair Trading: Prevents price manipulation through verified sources

Configuration

Environment Variables:

NAUTILUS_ENCLAVE_URL=http://localhost:3000
NAUTILUS_ENCLAVE_PUBLIC_KEY=<enclave-public-key>
NAUTILUS_TIMEOUT=30000
NAUTILUS_ENABLED=true
NAUTILUS_SOURCES=myanimelist,anilist

Endpoints:

GET /health_check - Check enclave health
GET /get_attestation - Get attestation document for on-chain registration
POST /process_data - Fetch and sign external data

Documentation

For detailed Nautilus setup and deployment:

Nautilus & Walrus Integration - Complete integration guide
Nautilus Server README - Deployment guide for AWS Nitro Enclaves

Together, Walrus and Nautilus create a comprehensive, verifiable data pipeline:

Walrus ensures users own their contributions
Nautilus provides verifiable external truth
Combined they create accurate, tamper-proof token pricing

Architecture

System Components

Frontend (Next.js + React + TypeScript)
- Wallet connection (Sui wallet integration)
- Engagement interface (ratings, predictions, posts, memes)
- Marketplace UI (trading, charts, analytics)
- Dashboard (token stats, leaderboards)
Backend/Oracle Service (Node.js + Express)
- Reads Walrus data
- Calls Nautilus enclave for external data
- Verifies wallet signatures
- Verifies Nautilus signatures
- Aggregates engagement metrics (Walrus + Nautilus)
- Calculates rewards
- Updates smart contracts
- Price feed aggregation
Walrus Storage (Decentralized Storage)
- Stores ALL user contributions
- Cryptographic proof of ownership
- Immutable and timestamped
- Queryable by IP token ID
Nautilus Oracle (AWS Nitro Enclave)
- Fetches external data from MyAnimeList, AniList, MangaDex
- Cryptographically signs external metrics
- Provides verifiable external truth sources
- Runs in secure, isolated enclave environment
Smart Contracts (Sui Move)
- IP token creation and management
- Marketplace trading
- Reward distribution
- Price calculation
- Contributor tracking
Indexing Service
- Indexes contributions by IP token ID
- Enables fast queries
- Tracks contribution history

Technology Stack

Frontend:

Next.js 14+ (App Router)
React 18+
TypeScript
Tailwind CSS
Sui Wallet Adapter

Backend:

Node.js
Express.js
Walrus CLI integration
Nautilus Oracle integration
Sui TypeScript SDK

Blockchain:

Sui blockchain
Move smart contracts

Storage:

Walrus decentralized storage

Oracle:

Nautilus (AWS Nitro Enclaves)
External API integration (MyAnimeList, AniList, MangaDex)

Key Features

Data Ownership

Fans own the data they create
Proven by wallet signatures on Walrus
Immutable and verifiable

Attribution System

Track who contributed what
Reward early and high-value contributors
Measure impact on popularity

Trading & Speculation

Buy/sell Data Tokens like stocks
Perpetual futures for advanced trading
Price reflects real engagement data

Transparency

All data stored on Walrus (decentralized)
Public analytics and dashboards
Verifiable engagement metrics

Comprehensive Engagement

Multiple contribution types (ratings, memes, posts, predictions, stakes)
All contributions affect token price
Dynamic platform for all otakus

Project Structure

OX/
├── backend/                   # Backend API service
│   ├── src/
│   │   ├── server.js          # Express server setup
│   │   ├── routes/            # API routes
│   │   │   ├── posts.js       # Post/contribution endpoints
│   │   │   └── ...
│   │   ├── services/          # Business logic services
│   │   │   ├── walrus.js      # Walrus integration
│   │   │   ├── walrus-indexer.js  # Contribution indexing
│   │   │   ├── contract.js    # Smart contract interaction
│   │   │   ├── aggregation.js # Metrics aggregation
│   │   │   └── price-feed.js  # Price feed service
│   │   └── utils/             # Utilities
│   └── README.md
├── frontend/                  # Frontend application
│   ├── app/                   # Next.js app directory
│   ├── components/            # React components
│   └── lib/                   # Utilities and helpers
├── smartcontract/             # Sui smart contracts
│   └── odx/
│       ├── sources/           # Move source files
│       └── tests/             # Move tests
├── README.md                  # This file
├── project-concept.md         # Detailed project concept
├── WALRUS_INTEGRATION.md      # Walrus integration details
└── WALRUS_INTEGRATOR_GUIDE.md # Technical integration guide

Getting Started

Prerequisites

Install pnpm
```
npm install -g pnpm
```

Sui Wallet Setup

# Check if Sui CLI is installed
sui --version

# Switch to testnet
sui client switch --env testnet

# Check you have SUI tokens for gas
sui client gas

Walrus CLI Installation

# Install Walrus for testnet
suiup install walrus@testnet

# Verify installation
~/.local/share/suiup/binaries/testnet/walrus-v1.37.0/walrus --version

WAL Tokens
- You need WAL tokens on testnet to pay for storage
- Get testnet WAL from the Walrus faucet or testnet exchange

Installation

Clone the repository
```
git clone <repository-url>
cd OX
```
Install backend dependencies
```
cd backend
pnpm install
```
Install frontend dependencies
```
cd ../frontend
pnpm install
```

Set up environment variables

# Backend
cd backend
cp .env.example .env
# Edit .env with your configuration

# Frontend
cd ../frontend
cp .env.example .env.local
# Edit .env.local with your configuration

Running the Project

Backend:

cd backend
pnpm run dev

Frontend:

cd frontend
pnpm run dev

For detailed setup instructions, see:

Documentation

Core Documentation

Project Concept - Detailed project overview and design
Walrus Integration - Why Walrus is critical
Walrus Integrator Guide - Technical integration guide
Nautilus & Walrus Integration - Complete integration guide for both systems
Nautilus Server README - Nautilus enclave deployment guide

Component Documentation

External Resources

Vision

ODX transforms fan engagement into a tradable, ownable asset.

Fans don't just consume content — they invest in the cultural value of the series they love. Their engagement data becomes valuable, and they can profit from being early contributors or accurate predictors.

In ODX, your fandom is not just passion — it's an asset.

License

MIT

Name		Name	Last commit message	Last commit date
Latest commit History 120 Commits
backend		backend
frontend		frontend
nautilus-server		nautilus-server
oracle		oracle
smartcontract/odx		smartcontract/odx
NAUTILUS_WALRUS_INTEGRATION.md		NAUTILUS_WALRUS_INTEGRATION.md
README.md		README.md

Maa-ly/OX

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ODX - Otaku Data Exchange sui

Table of Contents

Problem Statement

The Centralized Data Problem

The Trust Problem

Solution Overview

How It Works

1. Token Creation & Supply

2. Fan Engagement & Data Ownership

3. Data Aggregation & Token Value

4. Attribution & Rewards

5. Marketplace Trading

6. Complete User Flow Example

Walrus: The Core of Our Data Market

Why Walrus is Essential

1. True Data Ownership

2. Decentralized & Trustless Storage

3. Data Integrity for Price Calculation

4. Attribution & Reward Verification

How Walrus Powers the Data Market

Comprehensive Contribution Storage

Price Calculation Process

The Data Market Architecture

Key Benefits of Walrus Integration

Nautilus: Verifiable External Data Oracle

Why Nautilus is Essential

1. External Truth Sources

2. Secure Off-Chain Computation

3. Combined Data Pipeline

How Nautilus Integrates with ODX

1. External Data Fetching

2. Signature Verification

3. Combined Metrics Aggregation

Nautilus Enclave Architecture

Key Benefits of Nautilus Integration

Configuration

Documentation

Architecture

System Components

Technology Stack

Key Features

Data Ownership

Attribution System

Trading & Speculation

Transparency

Comprehensive Engagement

Project Structure

Getting Started

Prerequisites

Installation

Running the Project

Documentation

Core Documentation

Component Documentation

External Resources

Vision

License

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