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SENTINEL-1 · Autonomous Risk Warden

Built for the Pyth Playground Community Hackathon Live dashboard powered by Pyth Pro real-time price feeds, Pyth Entropy randomized execution & Solana wallet integration.

Live Demo → sentinel-1-delta.vercel.app

Stack TypeScript Tailwind Vite Pyth Solana

What is Sentinel-1?

Sentinel-1 is an autonomous AI risk warden — a real-time portfolio monitoring & wallet security dashboard that:

  • Streams live price data from 8 Pyth Hermes feeds (BTC, ETH, SOL, PYTH, LINK, AVAX, USDT, DOGE) via SSE streaming with REST polling fallback
  • Connects Solana wallets (Phantom) to scan token accounts for malicious delegations, scam tokens & drain attacks
  • Scans any wallet — paste any Solana address to inspect token safety without connecting
  • Resolves token metadata from Jupiter's verified token list (1,000+ tokens) + local trusted-mints database
  • Computes risk metrics in real-time — volatility, correlation, liquidation proximity, and composite scoring
  • Simulates stress scenarios using real Pyth Entropy seeds from Fortuna — flash crashes, correlated sell-offs, volatility spikes, and black swan events
  • Provides emergency actions — Manual Shelter, Entropy-Randomized Exits (MEV-safe), and Guardian Shield (liquidation defense)
  • Monitors Pyth publishers — deviation tracking, confidence sensitivity, stake caps, and latency for 12 institutional publishers
  • Generates context-aware reasoning logs — 95% of agent messages reference live Pyth prices, EMA signals, confidence intervals, and feed latency
  • Answers natural language queries about positions, risk, hedging, and individual assets using live feed data

Architecture

┌──────────────────────────────────────────────────────────────────────┐
│                       SENTINEL-1 DASHBOARD                           │
├──────────────┬───────────────┬───────────────┬───────────────────────┤
│  Price       │  Reasoning    │  Risk Gauge   │  Agent                │
│  Ticker      │  Console      │  + Emergency  │  Chat                 │
│  (8 feeds)   │  (AI logs)    │  Controls     │  (NL query)           │
├──────────────┴───────────────┴───────────────┴───────────────────────┤
│  Publisher Radar — Oracle Meta-Analysis (Full Width)                  │
│  Publisher Table · Confidence Sensitivity · Stake Caps               │
├──────────────────────────────────────────────────────────────────────┤
│  Historical Price Chart (Full Width) — Line / Area / OHLC            │
│  Timeframes (1m/5m/10m/All) · Confidence Bands · EMA Overlay         │
├─────────────────────────┬────────────────────────────────────────────┤
│  Positions Panel        │  Entropy Stress Tests                      │
│  (4 leveraged)          │  (4 live scenarios — real Fortuna seeds)   │
├─────────────────────────┴────────────────────────────────────────────┤
│  Wallet Security │ Alert Notifications (Telegram/Discord/Webhook)    │
├──────────────────┼───────────────────────────────────────────────────┤
│  Airdrop Guard   │ Multi-Wallet Comparison (Side-by-Side Risk)       │
└──────────────────┴───────────────────────────────────────────────────┘
         │                    │                         │
         ▼                    ▼                         ▼
┌────────────────┐ ┌──────────────────┐  ┌─────────────────────────┐
│ usePriceFeeds  │ │ useLivePositions │  │ useWalletSecurity       │
│ (Hermes REST)  │ │ useLiveRisk      │  │ useAirdropGuard         │
│ 1.5s polling   │ │ useLiveEntropy   │  │ (SPL token scanning)    │
│ 10-fail retry  │ │ useAgentLogs     │  │ Jupiter metadata API    │
│ mock fallback  │ │ usePublisherRadar│  │ 60s auto-rescan         │
└───────┬────────┘ └──────────────────┘  └──────────┬──────────────┘
        │                                           │
        ▼                                           ▼
┌────────────────────────────┐    ┌──────────────────────────────────┐
│ Pyth Hermes REST API       │    │ Solana RPC (Mainnet)             │
│ hermes.pyth.network        │    │ getParsedTokenAccountsByOwner    │
│ 8 mainnet feed IDs         │    │ Phantom Wallet Adapter           │
└────────────────────────────┘    └──────────────────────────────────┘
        │                                           │
        ▼                                           ▼
┌────────────────────────────┐    ┌──────────────────────────────────┐
│ Pyth Entropy (Fortuna)     │    │ Jupiter Token List API           │
│ fortuna.pyth.network       │    │ token.jup.ag/strict              │
│ Real entropy seeds         │    │ Symbol/name resolution           │
└────────────────────────────┘    └──────────────────────────────────┘

Features Built

1. Live Pyth Price Feeds (SSE Streaming)

  • 8 real Pyth mainnet feed IDs streaming via hermes.pyth.network/v2/updates/price/stream (Server-Sent Events)
  • Automatic REST polling fallback if SSE disconnects — polls /v2/updates/price/latest every 1.5s
  • Resilient connection with 10-consecutive-failure tolerance before mock fallback
  • Sparkline history (24 data points per feed) accumulated in-memory
  • Connection indicator in header: PYTH LIVE (green) / PYTH MOCK (yellow) / connecting (cyan) / error (red)
  • Price cards with Recharts sparkline charts, confidence intervals, 24h change, and category badges
  • Educational tooltips explaining Pyth concepts (confidence intervals, EMA, publisher staking) on hover

2. Live Risk Assessment

  • Volatility Index — computed from sparkline price variance across all feeds
  • Correlation Risk — detected from cross-asset directional co-movement
  • Liquidation Proximity — derived from minimum health factor across positions
  • Overall Score — weighted composite (35% volatility + 35% correlation + 30% liquidation)
  • SVG semi-circular gauge with animated fill (Framer Motion) and color-coded risk levels

3. Active Positions (Live P&L)

  • 4 leveraged positions: SOL/USD long 3x, ETH/USD long 2x, BTC/USD short 2x, LINK/USD long 2x
  • SOL/USD entry at $172.30 ("legacy top-of-cycle") — creates critical health factor scenario
  • P&L, percentage change, and health factor update reactively from live Pyth prices
  • Health factor color-coding: green (>3.0), yellow (>1.5), red (<1.5)
  • SHELTERED badge + spinner when positions are withdrawn

4. Emergency Controls

Action Behavior
Manual Shelter Closes all positions instantly, logs total P&L, re-enters at current prices after 8s
Entropy-Randomized Exit Closes ~75% of positions in shuffled order with randomized timing (1.2–3.2s per tranche), MEV-safe. Re-enters all at fresh prices.
Guardian Shield Appears only when health factor < 1.0. Fires a scripted 4-step defense sequence, then stabilizes underwater position at current price.

5. Critical Liquidation Alert System

  • When any position's health factor drops below 1.0:
    • Entire dashboard border pulses with animated dark red glow (danger-pulse)
    • Agent Override Box appears: "[CRITICAL] Liquidation imminent at $XX.XX..."
    • Giant "ACTIVATE GUARDIAN SHIELD" button with intense guardian-glow animation
  • Guardian Shield fires the scripted log sequence:
    1. [ALERT] — Health factor + liquidation distance (immediate)
    2. [ACTION] — Locking collateral, triggering entropy exit (1s delay)
    3. [SYSTEM] — Pyth Pro price verification with confidence band (2s delay)
    4. [SUCCESS] — Liquidation averted, new health factor, position stabilized (4s delay)
  • After shield fires, position re-enters at current price → health factor resets → danger pulse disappears

6. Entropy Stress Tests (Real Pyth Entropy)

  • Real entropy seeds fetched from fortuna.pyth.network (Pyth's on-chain RNG)
  • 4 scenarios recomputed every 5 seconds from real position data:
    • Flash crash of largest position (-12%)
    • Correlated sell-off across all positions (-8%)
    • Volatility spike on weakest position (-18%)
    • Black swan cascading liquidations (-25%)
  • Dollar impact calculated from size × price × crash% × leverage
  • Live entropy seed displayed with chain/sequence metadata
  • Statuses cycle through pending → running → complete

7. AI Reasoning Console

  • 14 log message templates referencing live data:
    • Feed health monitoring with latency
    • EMA cross detection (bullish divergence / bearish convergence)
    • Microstructure analysis (confidence tightening → institutional accumulation)
    • Volatility spike / flash crash protocol detection
    • Cross-asset sentiment scans (RISK-ON / RISK-OFF)
    • Pyth Entropy seed requests with MEV protection
    • Guardian monitoring scans
  • 95% of messages use live Pyth data (prices, confidence, EMA, change%)
  • CRT scanline overlay with scrolling animation
  • Log entries color-coded by type: [SYSTEM] cyan, [ALERT] yellow/red, [ACTION] lavender

8. Agent Chat (Natural Language)

  • 5 dynamic response generators using live feeds + positions:
    • Asset analysis — price, confidence, 24h range, feed latency, EMA signal, position details
    • Hedge analysis — long/short exposure, 5% drop stress test, VaR₉₅ estimate
    • Risk report — Markdown table with portfolio value, P&L, health factors, volatility
    • Portfolio summary — per-position listing with all metrics
    • Default overview — feed count, bullish/bearish ratio, top mover
  • Intent matching detects asset tickers/names or keywords (hedge, risk, portfolio)
  • Quick-suggestion chips: "Analyze SOL", "Risk report", "Hedge rates"

9. Publisher Radar — Oracle Meta-Analysis

Analyzes the "sources of the source" — Pyth's 120+ first-party institutional publishers.

  • Publisher Deviation Tracking: Models 12 real Pyth publishers (Jane Street, Binance, Jump Trading, Wintermute, Cumberland, Galaxy Digital, OKX, Virtu Financial, DRW, Alameda Research, Raydium, CoinShares). Flags publishers exceeding 20σ as SUSPICIOUS.
  • Confidence Interval Sensitivity: Tracks ±conf with a live sparkline. Alerts on >30% widening — early warning of extreme volatility.
  • Publisher Stake Caps: Visualizes staked PYTH tokens vs caps with animated bar charts.
  • Latency Leaderboard: Institutional publishers (Jane Street ~8–23ms) vs DeFi publishers (Raydium ~50–130ms).
  • Three-Tab Interface: Publishers, Confidence, Stakes
  • Per-Feed Selection: Dropdown to analyze any of the 8 feeds.

10. Solana Wallet Integration

  • Phantom wallet adapter with connect/disconnect/switch functionality
  • Wallet dropdown portal (createPortal to document.body) to ensure proper z-index layering above all dashboard elements
  • Auto-reconnect prevention: localStorage.removeItem('walletName') on disconnect/switch to prevent autoConnect from re-connecting
  • Switch Wallet button in dropdown to easily change wallets
  • Wallet address display with truncated public key

11. Wallet Security Panel

  • SOL balance display from on-chain data
  • Recent transaction analysis — fetches last 5 transactions from Solana RPC and checks for suspicious patterns
  • Drainer program detection — cross-references transaction programs against known malicious contract addresses
  • Security score — 0–100 composite based on transaction history, delegations, and suspicious interactions
  • Real-time status — connected wallet address, balance, and security rating

12. Airdrop Guard — Token Security Scanner

Full SPL token account scanner protecting wallets from airdrop drain attacks:

  • Real RPC scanning via getParsedTokenAccountsByOwner() — fetches all SPL token accounts
  • 4-layer risk assessment per token:
    1. Active Delegations (DANGEROUS) — delegate can transfer tokens without approval
    2. Known Scam Mints (DANGEROUS) — matched against community scam databases
    3. Unknown/Untrusted Mints (CAUTION) — not in verified token list
    4. Zero-balance Unknown Accounts (CAUTION) — residual from scam airdrops
  • Jupiter Token Metadata — fetches token.jup.ag/strict (cached) to resolve symbol, name for 1,000+ verified tokens. Local fallback for 19 major tokens (SOL, USDC, USDT, PYTH, BONK, JUP, mSOL, etc.)
  • Paste Any Address — text input to scan any Solana wallet without connecting. Works both in disconnected state and as an override when connected.
  • 3-tab UI: Overview (risk score gauge, metrics, quick actions), Tokens (all tokens with risk badges), Alerts (detailed findings)
  • Token Cards with symbol/name, balance, risk badge (SAFE/CAUTION/SUSPICIOUS/DANGEROUS), expandable details with Solscan links
  • One-click delegation revoke — builds RevokeInstruction transactions for individual or batch revocation
  • Composite risk score (0–100) with deductions for delegations (-15 each) and alerts (-5 to -25 by severity)
  • Auto-scan every 60 seconds while connected
  • Browser notifications for dangerous findings (if permitted)

13. Performance Optimizations

  • All 14 components wrapped in React.memo to prevent unnecessary re-renders
  • useCallback for all event handlers in App.tsx (modal toggles, action handlers)
  • useMemo for derived state (critical position detection)
  • Latency polling slowed from 1s to 5s to reduce overhead

14. Mobile Responsive Design

  • Responsive grid: grid-cols-1 lg:grid-cols-12 layout adapts to all screen sizes
  • Touch-friendly controls with appropriate tap targets
  • Compact mode on mobile for emergency controls and positions

15. Visual Design System (Pyth Aesthetic)

  • Colors: Deep black (#0B0B0F), Pyth Purple (#AB87FF), Lavender (#E6DAFE), Green (#00FFA3), Red (#FF4162), Yellow (#FFD166), Cyan (#00D4FF)
  • Glassmorphism cards with backdrop blur and purple glow on hover
  • Fonts: JetBrains Mono (terminal/data), Inter (UI headings)
  • Animations: Framer Motion entry animations, price pulse, scanline scroll, sentinel blink, danger pulse, guardian glow
  • Custom CSS: Grid background pattern, gradient text, typing cursor, button hover glow borders

16. Educational Tooltips (InfoTooltip System)

  • Reusable InfoTooltip component — hover/click tooltips throughout the dashboard explaining Pyth concepts
  • 8 educational tooltips covering: Price Feeds, Confidence Intervals, EMA, Entropy/Fortuna, Health Factors, Publisher Staking, MEV Protection, Token Delegations
  • Each tooltip includes a title, educational description, and optional "Learn more" link to Pyth docs
  • Targets the Best Educational Content hackathon category

17. Exportable Risk Reports

  • 3 export formats: Styled HTML (printable to PDF), JSON (machine-readable), CSV (spreadsheet-compatible)
  • Reports include: risk assessment, all price feeds, positions with P&L, and entropy stress test results
  • Generated from live dashboard state with Pyth Hermes data attribution
  • One-click download from footer button

18. Historical Price Charts

  • Extended price history — stores up to 600 data points per feed (accumulated from SSE stream)
  • 3 chart modes: Line chart, Area chart with gradient fill, OHLC candlestick bars
  • 4 timeframes: 1m, 5m, 10m, All — dynamically filtered from accumulated history
  • Confidence band overlay — shows Pyth publisher disagreement range as a translucent band
  • EMA tracking line — dashed cyan line showing Pyth's exponential moving average
  • Real-time statistics bar: Current price, High, Low, Average, Standard Deviation, Data Point count
  • OHLC aggregation — converts raw tick data into candlestick bars (5s/15s/30s/60s depending on timeframe)
  • Collapsible panel — toggle visibility to reduce dashboard clutter
  • Built with Recharts ComposedChart, LineChart, AreaChart with custom tooltips

19. Alert Notifications (Telegram / Discord / Custom Webhook)

  • Configurable alert rules with 5 trigger types:
    • Price Above threshold (e.g., BTC > $100k)
    • Price Below threshold (e.g., SOL < $100)
    • Percentage Change (e.g., SOL drops 5%)
    • Risk Score exceeds threshold (e.g., risk > 75)
    • Security Alert (critical wallet security events)
  • 3 webhook channels: Telegram Bot (via Bot API), Discord Webhook (embedded messages), Custom HTTP POST
  • Cooldown system — prevents alert spam (configurable 1m / 5m / 10m / 30m per rule)
  • Telegram formatting — HTML-formatted messages with severity icons and timestamps
  • Discord embeds — color-coded embeds (cyan=info, yellow=warning, red=critical) with Sentinel-1 branding
  • Test webhook button — verify connectivity before going live
  • Alert history — scrollable log of all sent notifications with success/failure status
  • Persistent configuration — rules, webhook configs, and alert history saved to localStorage
  • 3-tab UI: Alert Rules (add/edit/toggle/delete), Webhooks (configure endpoints), History (sent alerts)

20. Multi-Wallet Comparison

  • Side-by-side risk analysis of multiple Solana wallets
  • Add any wallet address with optional label (e.g., "Main", "DAO Treasury", "Team") — stored in localStorage
  • Per-wallet scanning — runs full Airdrop Guard scan (SPL tokens, delegations, Jupiter metadata) on each wallet
  • SOL balance display — fetches on-chain balance for each wallet
  • Bar chart comparison — visual risk score comparison across all scanned wallets (color-coded green/yellow/orange/red)
  • Wallet cards with: risk score progress bar, SOL balance, token count, delegation count, alert count, risk label badge
  • Summary statistics — aggregate averages across all wallets (avg risk score, total tokens, total delegations, total alerts)
  • Scan All button — batch-scan all wallets sequentially
  • Persistent wallet list — saved addresses and labels persist across sessions

Tech Stack

Layer Technology
Framework React 19 + TypeScript 5.8
Build Vite 6.4.1
Styling Tailwind CSS v4 (@tailwindcss/vite plugin, @theme directive)
Animation Framer Motion
Charts Recharts (sparklines, AreaCharts, LineCharts, ComposedCharts, BarCharts)
Icons Lucide React (~25 icons)
Wallet @solana/wallet-adapter-react + @solana/wallet-adapter-phantom
Blockchain @solana/web3.js + @solana/spl-token
Data Pyth Hermes SSE + REST (live) + Pyth Entropy (Fortuna) + Jupiter Token List + Telegram/Discord Webhooks
Fonts Google Fonts (JetBrains Mono, Inter)
Deployment Vercel

Project Structure

sentinel-1/
├── public/
│   └── sentinel.svg                    # Favicon
├── src/
│   ├── main.tsx                         # React entry point
│   ├── App.tsx                          # Root layout + hook orchestration (~310 lines)
│   ├── types.ts                         # TypeScript interfaces
│   ├── hooks.ts                         # All custom hooks (~1,300 lines)
│   ├── index.css                        # Tailwind theme + custom CSS (~250 lines)
│   ├── components/
│   │   ├── Header.tsx                   # Top bar with Pyth connection status
│   │   ├── PriceTicker.tsx              # 8-feed price card grid with sparklines
│   │   ├── ReasoningConsole.tsx         # Terminal-style AI reasoning log
│   │   ├── RiskGauge.tsx                # SVG semi-circular risk gauge
│   │   ├── ActionButtons.tsx            # Emergency controls + Guardian Shield
│   │   ├── PositionsPanel.tsx           # Active positions with P&L
│   │   ├── EntropyPanel.tsx             # Stress test scenarios (real Fortuna seeds)
│   │   ├── AgentChat.tsx                # NL query chat interface
│   │   ├── PublisherRadar.tsx           # Oracle meta-analysis (12 publishers)
│   │   ├── WalletButton.tsx             # Phantom connect/disconnect/switch (portal dropdown)
│   │   ├── WalletProvider.tsx           # Solana wallet adapter provider
│   │   ├── WalletSecurityPanel.tsx      # SOL balance + transaction security
│   │   ├── AirdropGuardPanel.tsx        # Token scanner + paste address (~640 lines)
│   │   ├── PriceChartPanel.tsx          # Historical price charts (Line/Area/OHLC)
│   │   ├── AlertNotificationsPanel.tsx  # Webhook alert config (Telegram/Discord)
│   │   ├── MultiWalletPanel.tsx         # Multi-wallet risk comparison
│   │   └── ErrorBoundary.tsx            # React error boundary wrapper
│   └── services/
│       ├── pythHermesService.ts         # Live Pyth Hermes SSE + REST integration
│       ├── pythEntropyService.ts        # Real Pyth Entropy (Fortuna) integration
│       ├── publisherRadarService.ts     # Publisher simulation + confidence tracking
│       ├── priceHistoryService.ts       # Extended price history storage + OHLC aggregation
│       ├── alertService.ts              # Webhook alert service (Telegram/Discord/Custom)
│       ├── airdropGuardService.ts       # SPL token scanning + Jupiter metadata (~450 lines)
│       └── mockPythService.ts           # Mock data fallback service
├── index.html                           # Entry HTML with Google Fonts
├── vite.config.ts                       # Vite + React + Tailwind plugins
├── tsconfig.json                        # TypeScript project references
├── tsconfig.app.json                    # App TypeScript config
├── package.json                         # Dependencies & scripts
└── README.md                            # This file

Getting Started

# Install dependencies
npm install

# Start dev server
npm run dev

# Type-check
npx tsc --noEmit

# Build for production
npm run build

The dashboard connects to Pyth Hermes automatically. If the API is unreachable, it falls back to mock data after ~15 seconds (10 retries).

Connect a Phantom wallet to enable Wallet Security and Airdrop Guard, or paste any Solana address to scan tokens without connecting.

Pyth Integration Details

Pyth Pro (Real-Time Price Feeds)

  • Primary: SSE streaming via https://hermes.pyth.network/v2/updates/price/stream
  • Fallback: REST polling via https://hermes.pyth.network/v2/updates/price/latest (1.5s interval)
  • 8 Mainnet Feed IDs:
    Asset Feed ID
    BTC/USD 0xe62df6c8b4a85fe1a67db44dc12de5db330f7ac66b72dc658afedf0f4a415b43
    ETH/USD 0xff61491a931112ddf1bd8147cd1b641375f79f5825126d665480874634fd0ace
    SOL/USD 0xef0d8b6fda2ceba41da15d4095d1da392a0d2f8ed0c6c7bc0f4cfac8c280b56d
    PYTH/USD 0x0bbf28e9a841a1cc788f6a361b17ca072d0ea3098a1e5df1c3922d06719579ff
    LINK/USD 0x765d2ba906dbc32ca17cc11f5310a89e9ee1f6420508c63861f2f8ba4ee34bb2
    AVAX/USD 0x93da3352f9f1d105fdfe4971cfa80e9dd777bfc5d0f683ebb6e1294b92137bb7
    USDT/USD 0x2b89b9dc8fdf9f34709a5b106b472f0f39bb6ca9ce04b0fd7f2e971688e2e53b
    DOGE/USD 0xc96458d393fe9deb7a7d63a0ac41e2898a67a7750dbd166673279e06c868df0a
  • Polling interval: 1.5 seconds
  • Parsed data: price, confidence, EMA price, publish time — all converted from Pyth's integer+exponent format

Pyth Entropy (Real On-Chain RNG)

  • Endpoint: https://fortuna.pyth.network/v1/chains
  • Real entropy seeds fetched from Pyth's Fortuna service
  • Used for MEV-safe randomized exit timing and stress test seed generation
  • Entropy seed, chain, and sequence number displayed in Entropy Panel

Solana Integration

  • Wallet: Phantom adapter via @solana/wallet-adapter-react
  • RPC: Mainnet connection for getParsedTokenAccountsByOwner, getBalance, getSignaturesForAddress
  • SPL Token: @solana/spl-token for createRevokeInstruction (delegation revocation)
  • Jupiter API: token.jup.ag/strict for verified token metadata (symbol, name, logo)

Hackathon Categories Targeted

Category Prize How Sentinel-1 Qualifies
1st Place 50,000 PYTH Full-featured autonomous risk dashboard: live Pyth Pro feeds, real Pyth Entropy, Publisher Radar, Solana wallet security, Airdrop Guard, AI reasoning engine
Most Creative Pyth Pro Use 10,000 PYTH Publisher Radar analyzes the "sources of the source" — deviation tracking, confidence sensitivity, stake cap visualization. AI reasoning interprets Pyth confidence intervals, EMA crosses, and feed microstructure in real-time.
Best Educational Content 10,000 PYTH Guardian Shield demonstrates Pyth Entropy preventing MEV during liquidations. Publisher Radar teaches oracle economics. Airdrop Guard educates on SPL token delegation risks.
Community Choice 10,000 PYTH High-end UI (Tailwind v4 + Framer Motion), wallet security scanning, paste-any-address inspection — designed for visual impact during community voting
Content Bonuses 5–20,000 PYTH Demo-ready with dramatic Guardian Shield + Publisher Radar suspicious publisher detection + Airdrop Guard token risk flagging

Deployment

License

Apache 2.0

About

SENTINEL-1 · Autonomous AI Risk Warden powered by Pyth Price Feeds & Pyth Entropy — real-time portfolio monitoring, stress testing, and liquidation defense. Built for the Pyth Playground Community Hackathon.

sentinel-1-delta.vercel.app

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