/* shared.jsx — Nexario shared data + components (exported to window) */ const { useState, useEffect, useRef } = React; /* ============================ AGENT DATA ============================ */ const AGENTS = [ { n: 1, name: "Coordinator", cat: "Execution", model: "Venice · Qwen3 235B", tee: false, fee: "0.05", desc: "The brain of Nexario. Analyzes user requests, plans multi-agent pipelines, delegates sub-tasks, and synthesizes final results. Every task starts and ends here.", long: "The Coordinator is the orchestration layer. It decomposes an incoming request into a pipeline of sub-tasks, selects which specialized agents to dispatch, redelegates scoped authority via ERC-7710, enforces the session budget, and synthesizes every agent's output into a single coherent result.", caps: ["Task decomposition", "Agent selection", "Sub-delegation via ERC-7710", "Result synthesis", "Budget enforcement"], special: "Routes sensitive content to Venice TEE agents automatically", modelId: "qwen3-235b", rep: { revenue: "96.40", success: 98, resp: "8s", tasks: 52, depth: 0 }, }, { n: 2, name: "Research", cat: "Research", model: "Venice · Kimi K2.6 + Web Search", tee: false, fee: "0.10", desc: "Live data fetcher. Pulls token prices, wallet history, DeFi metrics, and market intelligence using Venice's native web search — no external APIs.", long: "The Research agent fetches live on-chain data, token prices, DeFi protocol metrics, wallet history, and market intelligence using Venice's Kimi K2.6 model with native web search enabled. No external APIs needed — Venice handles everything.", caps: ["Live token prices (ETH, BTC, SOL, Base tokens)", "On-chain wallet analysis", "DeFi TVL, APY & risk metrics", "Gas price & Base network conditions", "News & market sentiment via live web search"], special: null, modelId: "kimi-k2-6", rep: { revenue: "312.90", success: 96, resp: "42s", tasks: 31, depth: 2 }, }, { n: 3, name: "Audit", cat: "Analysis", model: "Venice · Qwen3 235B Thinking", tee: false, fee: "0.15", desc: "Deep risk analyst. Uses Qwen3's extended thinking mode to reason step-by-step through smart contract risks, transaction exposure, and financial vulnerabilities.", long: "The Audit agent uses Qwen3's extended thinking mode to reason step-by-step through smart contract risks, transaction exposure, and financial vulnerabilities before returning a structured risk assessment.", caps: ["Smart contract risk scoring", "Transaction analysis", "DeFi exposure assessment", "Counterparty risk", "Slippage analysis"], special: null, modelId: "qwen3-235b-thinking", rep: { revenue: "210.15", success: 94, resp: "78s", tasks: 14, depth: 2 }, }, { n: 4, name: "Report", cat: "Analysis", model: "Venice · Kimi K2.5 + TTS", tee: false, fee: "0.05", desc: "Executive communicator. Synthesizes research and audit outputs into clear reports, then generates audio summaries via Venice TTS for every task.", long: "The Report agent synthesizes research and audit outputs into clear executive reports, then generates an audio summary via Venice TTS for every task — actionable findings in plain language, plus an MP3.", caps: ["Executive summaries", "Audio reports (MP3)", "Structured findings", "Non-technical language", "Actionable recommendations"], special: null, modelId: "kimi-k2-5", rep: { revenue: "42.30", success: 95, resp: "38s", tasks: 8, depth: 1 }, }, { n: 5, name: "Monitor", cat: "Monitoring", model: "Venice · Qwen3 235B", tee: false, fee: "0.05", desc: "Real-time condition watcher. Connects to Binance WebSocket streams for instant price alerts. Fires full agent pipelines when conditions are met — even when the browser is closed.", long: "The Monitor agent connects to Binance WebSocket streams for instant price alerts and fires full agent pipelines when conditions are met — even with the browser closed — using stored permissionsContext for autonomous execution.", caps: ["Price alerts (any Binance pair)", "Percentage drop / rise triggers", "Wallet activity monitoring", "Autonomous pipeline execution", "Stored permissionsContext execution"], special: "Uses Binance @trade WebSocket — sub-second trigger latency vs polling", modelId: "qwen3-235b", rep: { revenue: "18.50", success: 100, resp: "95s", tasks: 3, depth: 1 }, }, { n: 6, name: "Executor", cat: "Execution", model: "Pure calldata builder (no Venice)", tee: false, fee: "0.05", desc: "On-chain action agent. Builds and submits USDC transfers as part of 1Shot relay bundles. No AI inference — pure deterministic calldata with budget enforcement.", long: "The Executor builds and submits USDC transfers as part of 1Shot relay bundles. No AI inference — pure deterministic calldata construction with on-chain budget enforcement.", caps: ["USDC transfers to any address", "Budget cap enforcement", "Calldata construction", "1Shot bundle integration"], special: "DEX swaps built but pending ERC-7715 contract-call permission support", modelId: "none", rep: { revenue: "48.20", success: 100, resp: "12s", tasks: 9, depth: 1 }, }, { n: 7, name: "Counsel", cat: "Private/TEE", model: "Venice · Qwen3 6.35B TEE", tee: true, fee: "0.20", desc: "Private legal advisor. Runs in a Venice hardware-attested secure enclave. Legal analysis, contract review, compliance — zero data retention, hardware-level privacy.", long: "The Counsel agent runs in a Venice hardware-attested secure enclave for legal analysis, contract review and compliance questions. Zero data retention, hardware-level privacy, Venice end-to-end encryption.", caps: ["Legal analysis", "Contract interpretation", "Regulatory compliance", "DeFi legal risk", "Deal structure review"], special: "TEE: Hardware-attested · Zero retention · Venice E2EE", modelId: "qwen3-6.35b-tee", rep: { revenue: "64.00", success: 97, resp: "88s", tasks: 12, depth: 2 }, }, { n: 8, name: "Reputation", cat: "Analysis", model: "Venice · Kimi K2.6", tee: false, fee: "0.08", desc: "Wallet identity scorer. Analyzes on-chain history, transaction patterns, and behavioral signals to assess wallet reputation and counterparty trust.", long: "The Reputation agent analyzes on-chain history, transaction patterns and behavioral signals to assess wallet reputation and counterparty trust — a trust score grounded in verifiable activity.", caps: ["Wallet history analysis", "Transaction pattern scoring", "DeFi behavior assessment", "Counterparty risk profiling"], special: null, modelId: "kimi-k2-6", rep: { revenue: "22.40", success: 99, resp: "30s", tasks: 14, depth: 1 }, }, { n: 9, name: "Intelligence", cat: "Private/TEE", model: "Venice · Qwen3 6.35B TEE", tee: true, fee: "0.15", desc: "Private competitive research. Runs in Venice TEE for business intelligence, competitor analysis, and strategic research with full privacy guarantees.", long: "The Intelligence agent runs in a Venice TEE for business intelligence, competitor analysis and strategic research with full privacy guarantees — sensitive strategy work that never leaves the enclave.", caps: ["Competitive analysis", "Market positioning", "Business intelligence", "Protocol comparison", "Investment thesis research"], special: "TEE: Hardware-attested · Zero retention · Venice E2EE", modelId: "qwen3-6.35b-tee", rep: { revenue: "51.30", success: 93, resp: "102s", tasks: 9, depth: 2 }, }, { n: 10, name: "Reflection", cat: "Private/TEE", model: "Venice · Gemma 4 26B TEE Uncensored", tee: true, fee: "0.10", desc: "Private personal reasoning. Venice's uncensored TEE model for journaling, wellness reasoning, and personal decision-making — no filters, no data retention.", long: "The Reflection agent uses Venice's uncensored TEE model for journaling, wellness reasoning and personal decision-making with no filters and no data retention. Private thought processing that stays private.", caps: ["Personal journaling", "Wellness reasoning", "Life decisions", "Uncensored personal reflection", "Private thought processing"], special: "TEE: Hardware-attested · Uncensored · Zero retention", modelId: "gemma-4-26b-tee", rep: { revenue: "19.20", success: 100, resp: "70s", tasks: 6, depth: 1 }, }, ]; const NAV_ITEMS = ["Home", "Agents", "Tech Stack", "Docs", "Roadmap"]; /* ============================ BACKGROUND LAYER ============================ */ function BgLayer({ mode }) { const canvasRef = useRef(null); useEffect(() => { if (mode !== "canvas") return; const cv = canvasRef.current; if (!cv) return; const ctx = cv.getContext("2d"); let raf, w, h, dpr = Math.min(window.devicePixelRatio || 1, 2); const N = 64; const pts = Array.from({ length: N }, () => ({ x: Math.random(), y: Math.random(), vx: (Math.random() - 0.5) * 0.0006, vy: (Math.random() - 0.5) * 0.0006, })); function resize() { w = cv.clientWidth; h = cv.clientHeight; cv.width = w * dpr; cv.height = h * dpr; ctx.setTransform(dpr, 0, 0, dpr, 0, 0); } const accent = getComputedStyle(document.documentElement).getPropertyValue("--accent").trim() || "#7CFFB0"; function frame() { ctx.clearRect(0, 0, w, h); for (const p of pts) { p.x += p.vx; p.y += p.vy; if (p.x < 0 || p.x > 1) p.vx *= -1; if (p.y < 0 || p.y > 1) p.vy *= -1; } for (let i = 0; i < N; i++) { for (let j = i + 1; j < N; j++) { const a = pts[i], b = pts[j]; const dx = (a.x - b.x) * w, dy = (a.y - b.y) * h; const d = Math.hypot(dx, dy); if (d < 150) { ctx.strokeStyle = `rgba(255,255,255,${(1 - d / 150) * 0.07})`; ctx.lineWidth = 1; ctx.beginPath(); ctx.moveTo(a.x * w, a.y * h); ctx.lineTo(b.x * w, b.y * h); ctx.stroke(); } } } for (const p of pts) { ctx.fillStyle = "rgba(255,255,255,0.28)"; ctx.beginPath(); ctx.arc(p.x * w, p.y * h, 1.4, 0, 7); ctx.fill(); } raf = requestAnimationFrame(frame); } resize(); frame(); window.addEventListener("resize", resize); return () => { cancelAnimationFrame(raf); window.removeEventListener("resize", resize); }; }, [mode]); return (
{mode === "video" && (
)} {mode === "canvas" && ( )} {mode === "gradient" && (
)}
); } /* ============================ NAVBAR ============================ */ function NavBar({ route, go, onLaunch }) { return ( ); } /* ============================ FOOTER ============================ */ function Footer({ go }) { return ( ); } function FooterCol({ title, links, extra = [], go }) { return (
{title}
{links.map((l) => ( ))} {extra.map((l) => ( {l} ))}
); } /* ============================ PRIMITIVES ============================ */ function SectionLabel({ children, n }) { return (
{n && {n}} {children}
); } function Chip({ children, tee, accent }) { return ( {children} ); } /* tiny syntax highlighter for our code blocks */ function CodeBlock({ code, lang }) { const html = highlight(code); return (
{lang &&
{lang}
} 

    

  );
}
function esc(s) { return s.replace(/&/g, "&").replace(//g, ">"); }
function highlight(code) {
  return esc(code)
    .replace(/(\/\/[^\n]*)/g, '$1')
    .replace(/(#[^\n]*)/g, '$1')
    .replace(/('[^']*')/g, '$1')
    .replace(/("[^&]*")/g, '$1')
    .replace(/\b(const|let|await|async|method|params|return|function|new)\b/g, '$1')
    .replace(/\b(0x[a-fA-F0-9]+|\d{2,})\b/g, '$1');
}

/* number countup hook */
function useCountUp(target, run, decimals = 0, dur = 1200) {
  const [v, setV] = useState(run ? 0 : target);
  useEffect(() => {
    if (!run) { setV(target); return; }
    let raf, start;
    const from = 0;
    function step(ts) {
      if (!start) start = ts;
      const p = Math.min((ts - start) / dur, 1);
      const e = 1 - Math.pow(1 - p, 3);
      setV(from + (target - from) * e);
      if (p < 1) raf = requestAnimationFrame(step);
    }
    raf = requestAnimationFrame(step);
    return () => cancelAnimationFrame(raf);
  }, [target, run]);
  return decimals ? v.toFixed(decimals) : Math.round(v).toLocaleString();
}

/* reveal on mount stagger (inline-style transition so captures stay visible) */
function Reveal({ children, delay = 0, style }) {
  const [shown, setShown] = useState(false);
  useEffect(() => {
    const t = setTimeout(() => setShown(true), delay);
    return () => clearTimeout(t);
  }, []);
  return (
    
{children}

  );
}

Object.assign(window, {
  AGENTS, NAV_ITEMS, BgLayer, NavBar, Footer, SectionLabel, Chip, CodeBlock, useCountUp, Reveal,
});