Web3 Investor

Web3 Investor

> Your AI-powered DeFi research analyst. Not a dashboard — a thinker.

Web3 Investor turns vague investment intent into structured, risk-aware recommendations. It doesn't just fetch APY data — it *understands* what you're looking for, scores every opportunity across 7 risk dimensions, cross-references smart money flows, scans for contract vulnerabilities, and explains its reasoning in plain English.

The Problem It Solves

DeFi yield farming today looks like this:

1. Open DeFiLlama → see 2,500+ pools → overwhelming 2. Check audits, TVL, APY trend, IL risk — each on a different site 3. Cross-reference with Twitter sentiment and whale wallets 4. Try to figure out if the yield is sustainable or just emission bait 5. Give up and put money in USDC savings at 4%

Web3 Investor collapses this into one natural-language request:

"I want stablecoin yield, conservative risk, on Ethereum"
→ 5 personalized recommendations with full risk analysis in 3 seconds

🧠 How It Works

The Intelligence Pipeline

User Intent (natural language)
  │
  ├─ 1. Intent Classification (keyword + LLM fusion)
  │    Extract: asset type, risk level, chain, time horizon,
  │            position size, liquidity needs, implicit constraints
  │
  ├─ 2. Intent Gate (NEEDS_CLARIFICATION or PASS)
  │    If ambiguous → ask user a focused question
  │    If clear → proceed with accumulated context (multi-round session)
  │
  ├─ 3. Discovery Engine (DeFiLlama + Dune Analytics + CoinGecko)
  │    Fetch 200+ candidates → filter by chain, TVL, risk threshold
  │    → deduplicate → rank by risk-adjusted score
  │
  ├─ 4. Risk Scoring (7 dimensions, 0-100)
  │    TVL, audit status, chain maturity, yield sustainability,
  │    deposit token safety, reward token safety, protocol trust
  │    → composite risk level: LOW / MEDIUM / HIGH / VERY_HIGH
  │
  ├─ 5. DeFi Security Scan
  │    AI-powered contract scanner → scam detection → critical issue flag
  │
  ├─ 6. Smart Money Sentiment (Dune Analytics)
  │    Track whale/fund flows → inflow/outflow signal
  │
  ├─ 7. Recommendation Explanation
  │    "Why this product?" — benchmarked vs bank deposits,
  │    risk classification (controllable vs uncontrollable),
  │    honest alternatives if a better option exists
  │
  └─ Output: Ranked recommendations with full context

🛠 Three Tools. Deep Intelligence.

investor_discover — Find Opportunities

The entry point. Converts natural language into structured intent, discovers opportunities, and returns ranked recommendations.

What makes it different from a simple DeFiLlama query:

| Feature | DeFiLlama | investor_discover | |---------|-----------|-------------------| | Input | Chain + sort | Natural language ("stablecoin, conservative") | | Intent understanding | None | Keyword + LLM fusion with 95%+ accuracy | | Risk filtering | Manual | Automatic 7-dimension scoring + threshold | | Multi-round | N/A | Session-based intent accumulation | | Clarification | N/A | Asks focused questions when intent is ambiguous | | Smart money | N/A | Integrated whale flow signals | | DeFi security | N/A | AI contract scanner per pool | | Explanation | N/A | "Why this?" reasoning per recommendation |

Multi-round Session Example:

Round 1:
  User: "Find me good yields"
  Agent: "What's your risk tolerance? [Conservative] [Moderate] [Aggressive]"
  → Session stores partial intent
Round 2:
  User: "Conservative, stablecoins only"
  Agent: (accumulates Round 1 + Round 2 intent)
  → Returns conservative stablecoin recommendations on Ethereum

Request:

{
  "agent_id": "uuid",
  "natural_language": "stablecoin yield, conservative risk, Ethereum",
  "structured_preferences": {
    "chain": "ethereum",
    "min_apy": 5,
    "asset_type": "stablecoin"
  },
  "limit": 5
}

Response highlights:

{
  "gate_status": "PASS",
  "recommendations": [{
    "name": "Aave V3 USDC",
    "yield": { "apy": 5.2, "apy_base": 2.8, "apy_reward": 2.4 },
    "scale": { "tvl_usd": 1500000000 },
    "risk": {
      "risk_level": "LOW",
      "risk_score": 82,
      "risk_factors": { "tvl_score": 95, "audit_score": 90, ... },
      "warnings": []
    },
    "data_quality": { "score": 95, "level": "HIGH", "cross_validated": true },
    "incentive": { "score": "medium", "reward_ratio": 0.46 },
    "smart_money": { "flow": "inflow", "sentiment_score": 0.72, "confidence": "high" },
    "explanation": {
      "summary": "Aave V3 USDC: 5.2% APY, TVL $1.5B",
      "reasons": { "for": [...], "against": [...] },
      "compared_to": { "benchmark": "US bank savings (4.0%)", "outperformance": "1.3x" },
      "risks": { "controllable": ["随时可赎回"], "uncontrollable": ["智能合约风险"] }
    }
  }],
  "search_stats": {
    "total_candidates": 247,
    "total_after_risk_filter": 89,
    "final_recommendations": 5,
    "filters_applied": ["defillama_fetch:ethereum", "intent_filter:STABLECOIN", "risk_scoring", "dust_filter:50000"]
  }
}

investor_analyze — Deep Analysis

LLM-powered 5-step reasoning chain for a single product. Goes beyond numbers to provide *understanding*.

Analysis depths:

| Depth | What You Get | Use Case | |-------|-------------|----------| | basic | Key metrics + risk score + 1-paragraph summary | Quick check | | detailed | Full risk breakdown + yield source analysis + sustainability assessment + smart money + historical APY | Recommended for investment decisions | | full | Everything in detailed + peer comparison + protocol profile + governance analysis + LLM narrative | Due diligence |

The LLM analysis covers:

Step 1: Yield Source Analysis
  → Is this APY from trading fees (sustainable) or token emissions (unsustainable)?
  → APY breakdown: base yield vs reward yield ratio
Step 2: Sustainability Assessment
  → Historical APY trend (7d / 30d / 90d)
  → APY volatility (standard deviation)
  → Revenue coverage (can the protocol afford these rewards?)
Step 3: Risk Narrative
  → Comprehensive risk story, not just a score
  → Smart money sentiment overlay
  → DeFi security scan results (scam flags, critical issues)
Step 4: Competitive Position
  → How does this compare to peers in the same category?
  → Protocol profile: governance, longevity, audit history
Step 5: Investor Considerations
  → Actionable guidance for the specific investor profile
  → Key risks and key positives
  → "If you're conservative, consider X. If aggressive, consider Y."

investor_compare — Side-by-Side Comparison

Compare 2–5 products with LLM-powered interpretation across customizable dimensions.

Default comparison dimensions: APY, risk score, TVL

Extended dimensions: fees, lock period, audit count, IL risk, governance type, smart money sentiment, incentive sustainability

LLM comparison output:

{
  "llm_comparison": {
    "narrative": "Aave offers superior security with $1.5B TVL and 6 audits, while Compound provides higher raw yield at 6.1% but with smaller TVL...",
    "risk_comparison": "Aave's risk score (82) significantly outperforms Compound (68), primarily due to larger TVL and more comprehensive audit coverage",
    "recommendation_with_reasoning": {
      "for_conservative": "Choose Aave — battle-tested protocol, deep liquidity, multiple top-tier audits",
      "for_aggressive": "Consider Compound — 0.9% higher APY, acceptable risk for short-term positions",
      "key_tradeoff": "0.9% yield premium vs significantly lower risk score (82 vs 68)"
    }
  }
}

🏗️ Server-Side Architecture

┌─────────────────────┐
│    AI Agent          │         MCP JSON-RPC         ┌──────────────────────────────────────┐
│    (OpenClaw)        │ ─────────────────────────────► │  Antalpha MCP Server                 │
│                      │                                │  mcp-skills.ai.antalpha.com          │
│  "Find me yield"     │                                │                                      │
│  → 3 tool calls      │ ◄───────────────────────────── │  Intent Classifier (keyword + LLM)   │
│  → zero API keys     │   structured results           │  Risk Scoring (7 dimensions)         │
│  → zero custody      │                                │  DeFi Security Scanner               │
└─────────────────────┘                                │  LLM Analysis (5-step chain)         │
                                                       │  Smart Money (Dune Analytics)        │
                                                       │  Market Context (bull/bear/sideways)  │
                                                       │  Protocol Profiles (DefiLlama)       │
                                                       │  Data Validation (cross-source)      │
                                                       │  Explanation Engine (benchmarked)    │
                                                       │                                      │
                                                       │  Data Sources:                        │
                                                       │  ├─ DefiLlama (2,500+ pools)         │
                                                       │  ├─ Dune Analytics (smart money)     │
                                                       │  ├─ CoinGecko (market data)          │
                                                       │  ├─ DeFi Security (contract scan)    │
                                                       │  └─ Internal LLM (analysis)          │
                                                       └──────────────────────────────────────┘

🔐 Risk Intelligence

7-Dimension Risk Scoring

Each opportunity is scored 0–100 across seven independent dimensions:

| Dimension | What It Measures | Weight | |-----------|-----------------|--------| | TVL Score | Total Value Locked — protocol maturity indicator | High | | Audit Score | Number and quality of security audits | High | | Chain Score | Chain maturity (L1 vs L2 vs new chain) | Medium | | Sustainability | Yield source analysis (fees vs emissions) | High | | Deposit Token | Safety tier of the deposit asset (USDC > DAI > random) | Medium | | Reward Token | Liquidity and safety of reward tokens | Low | | Protocol Trust | Governance, longevity, track record | Medium |

Risk Levels:

DeFi Security Scanning

Every pool is scanned by an AI-powered contract security engine:

{
  "defi_security": {
    "aiScore": 87,
    "safetyPercentage": 92,
    "isScam": false,
    "criticalIssues": 0
  }
}

Smart Money Sentiment

Real-time whale and fund wallet activity aggregated from Dune Analytics:

{
  "smart_money": {
    "flow": "inflow",
    "sentiment_score": 0.72,
    "confidence": "high",
    "buy_volume_usd": 15000000,
    "sell_volume_usd": 3200000,
    "net_flow_usd": 11800000,
    "signal_count": 23
  }
}

Market Context Awareness

The engine is aware of the current market cycle (bull/bear/sideways), total DeFi TVL, BTC dominance, and US Treasury rates — providing context-aware recommendations that adjust for macro conditions.

🚀 Quick Start

Prerequisites

Registration (one-time)

./scripts/run.sh register
Returns agent_id — save this for all subsequent calls

Usage

# Discover opportunities
./scripts/run.sh discover --chain ethereum --min-apy 5 --limit 5
Discover with natural language
./scripts/run.sh discover --natural-language "stablecoin yield, conservative"
Deep analysis
./scripts/run.sh analyze --product-id  --depth detailed
Full due diligence
./scripts/run.sh analyze --product-id  --depth full
Compare products
./scripts/run.sh compare --ids   

⚠️ Critical Rules

Rule 1: Discovery First

❌ "I recommend Aave for stablecoin yield"
✅ investor_discover → analyze results → data-backed recommendation

Rule 2: Explain Your Reasoning

Rule 3: Risk Is Non-Negotiable

Rule 4: Honest About Limitations

🔒 Security

| Layer | Protection | |-------|-----------| | Private Keys | Zero contact — never held, transmitted, or stored | | Data Sources | Triple-validated (DefiLlama + Dune + CoinGecko) with cross-source checks | | Contract Safety | AI-powered DeFi security scanner on every pool | | Risk Scoring | 7 independent dimensions, no single point of failure | | Scam Detection | Automated flagging via DeFi Security engine (isScam check) | | Data Quality | Freshness tracking, confidence scores, validation issue logging |

📝 Changelog

v3.8.0 (2026-04-14)

v3.7.2 (2026-04-13)

🤝 Contributing

Test donations welcome:

Maintainer: Web3 Investor Skill Team Registry: https://clawhub.com/skills/web3-investor License: MIT

# Discover opportunities
./scripts/run.sh discover --chain ethereum --min-apy 5 --limit 5
Discover with natural language
./scripts/run.sh discover --natural-language "stablecoin yield, conservative"
Deep analysis
./scripts/run.sh analyze --product-id  --depth detailed
Full due diligence
./scripts/run.sh analyze --product-id  --depth full
Compare products
./scripts/run.sh compare --ids   

Registration (one-time)

./scripts/run.sh register
Returns agent_id — save this for all subsequent calls

Usage

# Discover opportunities
./scripts/run.sh discover --chain ethereum --min-apy 5 --limit 5
Discover with natural language
./scripts/run.sh discover --natural-language "stablecoin yield, conservative"
Deep analysis
./scripts/run.sh analyze --product-id  --depth detailed
Full due diligence
./scripts/run.sh analyze --product-id  --depth full
Compare products
./scripts/run.sh compare --ids