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Use Cases

Nex‑T1 transforms complex blockchain interactions into simple, intelligent workflows. From individual traders to enterprise teams, discover how our platform accelerates Web3 adoption and automation.

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Primary Use Cases

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1. DeFi Research & Analytics

Yield Optimization Challenge: Finding the best yields across hundreds of DeFi protocols is time-consuming and complex. Solution: Nex‑T1 aggregates yield data from all major protocols, analyzes risk factors, and presents optimized strategies. Example Query: 
"Find the top 5 stablecoin yields above 10% APY with low risk"
Result: Comprehensive report with TVL, audit status, historical performance, and entry strategies.
Protocol Comparison Challenge: Comparing protocols requires accessing multiple data sources and understanding complex metrics. Solution: AI agents compile data from The Graph, Dune, and DeFiLlama for instant comparisons. Example Query: 
"Compare Aave vs Compound for USDC lending rates and safety"
Result: Side-by-side comparison with rates, TVL, liquidation risks, and recommendations.

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Research Assistant Workflow

Endpoint: /api/v1/multi-agent/research/preview 
import requests

response = requests.post(
    "http://localhost:8000/api/v1/multi-agent/research/preview",
    headers={"Authorization": "Bearer YOUR_TOKEN"},
    json={
        "query": "Analyze TVL trends for top 10 DeFi protocols this month",
        "include_sources": ["thegraph", "dune", "defillama"],
        "format": "detailed"
    }
)

research_data = response.json()

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2. Automated Trading

  • DEX Trading
  • Arbitrage
  • DCA Strategies
Smart Order RoutingNex‑T1 finds optimal trade paths across multiple DEXs:
  1. Quote Generation: Compare prices across Uniswap, 0x, 1inch
  2. Route Optimization: Find the best path with minimal slippage
  3. Gas Estimation: Calculate total costs including gas
  4. MEV Protection: Use flashbots or private pools when needed
Example Flow:
User: "Swap 10 ETH to USDC with best rates"

Nex‑T1:
1. Fetches quotes from all DEX aggregators
2. Calculates price impact and gas costs
3. Shows preview with savings comparison
4. Executes via selected route on approval
Trading Preview Endpoint: /api/v1/multi-agent/preview

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3. Risk Management

Transaction Validation Pre-execution Checks:
  • Token contract verification
  • Liquidity depth analysis
  • Price impact calculation
  • Slippage protection
  • Gas price optimization
Example: 
{
  "action": "swap",
  "token_in": "ETH",
  "token_out": "UNKNOWN_TOKEN",
  "risk_assessment": {
    "status": "HIGH_RISK",
    "issues": [
      "Unverified contract",
      "Low liquidity ($50k)",
      "High price impact (15%)"
    ],
    "recommendation": "DO_NOT_PROCEED"
  }
}
Portfolio Monitoring Real-time Alerts:
  • Large price movements
  • Liquidity changes
  • Protocol exploits
  • Governance proposals
Configuration: 
monitoring_rules = {
    "price_alerts": [
        {"token": "ETH", "threshold": -10, "type": "percent"},
        {"token": "AAVE", "threshold": 250, "type": "absolute"}
    ],
    "defi_positions": [
        {"protocol": "compound", "alert_on": "liquidation_risk"}
    ]
}
Risk Endpoint: /api/v1/multi-agent/risk/preview

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4. Market Data & Intelligence

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Real-time Market Monitoring

  • Price Tracking
  • Whale Watching
  • Social Sentiment
Multi-Source Price Aggregation
# Get reliable price data
price_request = {
    "tokens": ["ETH", "BTC", "SOL"],
    "sources": ["chainlink", "coingecko", "binance"],
    "aggregate_method": "median"
}

# Returns consolidated price with confidence score

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5. Cross-Chain Operations

Bridge Aggregation Find the best bridge for cross-chain transfers: 
"Bridge 1000 USDC from Ethereum to Arbitrum"
Comparison Factors:
  • Bridge fees
  • Transfer time
  • Security model
  • Liquidity available
  • Historical reliability
Multi-Chain Portfolio Unified view across all chains: 
"Show my total portfolio value across all chains"
Aggregates:
  • EVM chains (Ethereum, BSC, Polygon, etc.)
  • Solana positions
  • Bitcoin holdings
  • DeFi positions
  • NFT valuations

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Industry-Specific Applications

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For Traders

Features:
  • Real-time order book analysis
  • Technical indicator alerts
  • Automated trade execution
  • P&L tracking
Example Session:
Trader: "Monitor ETH/USDC for breakout above $3500 with volume"

Nex‑T1: Sets up monitoring...

[Alert triggered]
Nex‑T1: "ETH broke $3500 with 2x average volume.
         Current: $3502, 24h volume: $2.5B
         Momentum: Strong bullish
         Execute buy order?"

Trader: "Buy 5 ETH with 1% slippage max"

Nex‑T1: [Executes via best route]
Automated Farming:
  • Harvest optimization
  • Compound frequency calculation
  • IL (Impermanent Loss) tracking
  • APY vs APR calculations
Workflow:
  1. Identify high-yield opportunities
  2. Analyze risk factors
  3. Calculate optimal position size
  4. Monitor and auto-compound
  5. Exit strategy recommendations

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For Developers

Build Trading Bots:
from next1 import TradingBot

bot = TradingBot(
    strategy="momentum",
    pairs=["ETH/USDC", "BTC/USDT"],
    risk_limit=1000,  # USD
    execution_mode="preview"  # or "live"
)

# Bot uses Nex‑T1 APIs for:
# - Market data feeds
# - Trade execution
# - Risk checks
# - Performance tracking
Enhance Your DApp:
// Add AI-powered features to your DApp
import { NexT1SDK } from '@next1/sdk';

const nex = new NexT1SDK({ apiKey: 'YOUR_KEY' });

// Add natural language trading
const result = await nex.chat({
    message: userInput,
    context: {
        wallet: userWallet,
        chainId: 1
    }
});

// Display AI response and actions
showResponse(result.message);
if (result.actions) {
    await executeActions(result.actions);
}

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For Institutions

Treasury Management:
  • Multi-sig integration
  • Approval workflows
  • Compliance reporting
  • Audit trails
Features:
  • Automated rebalancing
  • Risk limits enforcement
  • Regulatory compliance
  • Custom reporting
Market Research Platform:
  • Custom data pipelines
  • Automated report generation
  • Backtesting frameworks
  • Collaborative workspaces
Example Report Automation:
# Daily DeFi report generation
report_config = {
    "frequency": "daily",
    "sections": [
        "tvl_changes",
        "yield_opportunities",
        "risk_alerts",
        "governance_updates"
    ],
    "distribution": ["research@team.com"],
    "format": "pdf"
}

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Implementation Patterns

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Pattern 1: Research → Decision → Execute

async def defi_investment_flow(amount_usd: float):
    # 1. Research
    research = await nex.research({
        "query": f"Best stablecoin yields for ${amount_usd}",
        "risk_tolerance": "medium"
    })

    # 2. Risk Assessment
    risk = await nex.assess_risk({
        "protocol": research.top_recommendation,
        "amount": amount_usd
    })

    # 3. Preview
    preview = await nex.preview_transaction({
        "action": "deposit",
        "protocol": research.top_recommendation,
        "amount": amount_usd
    })

    # 4. Execute (with approval)
    if user_approves(preview):
        result = await nex.execute(preview.transaction)
        return result

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Pattern 2: Continuous Monitoring

async def portfolio_monitor():
    rules = {
        "price_alerts": {...},
        "liquidation_monitoring": {...},
        "yield_optimization": {...}
    }

    async for alert in nex.monitor(rules):
        if alert.severity == "high":
            await notify_user(alert)

        if alert.action_required:
            suggestion = await nex.suggest_action(alert)
            await present_to_user(suggestion)

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Pattern 3: Automated Strategies

class YieldStrategy:
    def __init__(self, nex_client):
        self.nex = nex_client
        self.positions = []

    async def optimize_yields(self):
        # Find opportunities
        opportunities = await self.nex.find_yields({
            "min_apy": 10,
            "max_risk": 5,
            "chains": ["ethereum", "arbitrum"]
        })

        # Rank by risk-adjusted returns
        ranked = self.calculate_sharpe_ratios(opportunities)

        # Rebalance portfolio
        rebalance_plan = self.generate_rebalance(ranked)

        # Execute rebalancing
        for action in rebalance_plan:
            await self.nex.execute(action)

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Getting Started with Use Cases

1

Identify Your Use Case

Determine which category fits your needs: Research, Trading, Risk Management, or Custom
2

Set Up Authentication

Get your API key and configure authentication
3

Start with Preview Mode

Test your workflows with preview endpoints before enabling execution
4

Implement Gradually

Begin with simple queries and progressively add complexity
5

Monitor and Optimize

Use analytics to track performance and optimize your implementation

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Support for Your Use Case

Examples Repository

Browse our GitHub for complete implementation examples

Discord Community

Connect with other users building similar applications

Custom Solutions

Contact our team for enterprise or custom use case support