Web3 Investor

AI-native DeFi investment intelligence. Discover, analyze, and compare yield opportunities across 2,500+ protocols with intent-aware search, LLM-powered deep analysis, 7-dimension risk scoring, DeFi security scanning, smart money sentiment, and multi-round conversational refinement. All intelligence runs server-side — zero API keys on the client.

bevanding@bevanding

Install

openclaw skills install @bevanding/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:

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

Web3 Investor collapses this into one natural-language request:

text

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

🧠 How It Works

The Intelligence Pipeline

text

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:

text

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:

json

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

Response highlights:

json

{
  "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:

text

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:

json

{
  "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

text

┌─────────────────────┐
│    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:

LOW (score ≥ 70): Battle-tested, well-audited, high TVL
MEDIUM (score 50–69): Established but with some risk factors
HIGH (score 30–49): Newer or with significant warnings
VERY_HIGH (score < 30): Experimental or flagged

DeFi Security Scanning

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

json

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

Smart Money Sentiment

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

json

{
  "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

Python 3.8+
No API keys needed — all intelligence runs server-side

Registration (one-time)

bash

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

Usage

bash

# 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 <id> --depth detailed

# Full due diligence
./scripts/run.sh analyze --product-id <id> --depth full

# Compare products
./scripts/run.sh compare --ids <id1> <id2> <id3>

⚠️ Critical Rules

Rule 1: Discovery First

Never give generic investment advice without real-time data.

text

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

Rule 2: Explain Your Reasoning

Every recommendation should include the explanation object — summary, reasons for/against, benchmark comparison, risk classification.

Rule 3: Risk Is Non-Negotiable

APY data may be delayed — always show data_quality.score and last_updated
Never recommend VERY_HIGH risk products without explicit user acknowledgment
Investment decisions are the user's own responsibility — always DYOR

Rule 4: Honest About Limitations

If no good options exist for the user's criteria, say so with generateHonestNoResultExplanation
Show alternatives even if they don't perfectly match — "This is close but has X tradeoff"

🔒 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)

Full SKILL.md rewrite — English, feature-focused, comprehensive
Documented complete server-side intelligence pipeline
Added 7-dimension risk scoring documentation
Added DeFi Security scanning documentation
Added Smart Money sentiment documentation
Added Market Context awareness documentation
Added multi-round session intent accumulation flow
Added honest "no result" explanation behavior
Added incentive sustainability scoring documentation
Added data quality cross-validation documentation

v3.7.2 (2026-04-13)

Client cleanup: removed deprecated tools (feedback/confirm-intent/get-intent)

🤝 Contributing

Test donations welcome:

Network: Base Chain
Address: 0x1F3A9A450428BbF161C4C33f10bd7AA1b2599a3e

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

Web3 Investor

Install

Web3 Investor

The Problem It Solves

🧠 How It Works

The Intelligence Pipeline

🛠 Three Tools. Deep Intelligence.

investor_discover — Find Opportunities

investor_analyze — Deep Analysis

investor_compare — Side-by-Side Comparison

🏗️ Server-Side Architecture

🔐 Risk Intelligence

7-Dimension Risk Scoring

DeFi Security Scanning

Smart Money Sentiment

Market Context Awareness

🚀 Quick Start

Prerequisites

Registration (one-time)

Usage

⚠️ Critical Rules

Rule 1: Discovery First

Rule 2: Explain Your Reasoning

Rule 3: Risk Is Non-Negotiable

Rule 4: Honest About Limitations

🔒 Security

📝 Changelog

v3.8.0 (2026-04-14)

v3.7.2 (2026-04-13)

🤝 Contributing

Related skills

`investor_discover` — Find Opportunities

`investor_analyze` — Deep Analysis

`investor_compare` — Side-by-Side Comparison