get_address_info response
    │
    ├── User only wants a simple query (intent_depth = basic)
    │   └── → Output address profile report directly (skip to Step 5)
    │
    └── User requests deep tracking (intent_depth = deep)
        └── → Proceed to Step 4 parallel calls

## Address Analysis Report

> Address: `{address}`
> Chain: {chain}
> Query time: {timestamp}

### 1. Address Profile

| Metric | Value |
|--------|-------|
| Address Label | {label} (e.g., Exchange Hot Wallet / Whale / Unknown / Hacker-linked) |
| Risk Score | {risk_score}/100 ({Low Risk/Medium Risk/High Risk}) |
| First Transaction | {first_tx_time} |
| Total Transactions | {tx_count} |
| Current Balance | ${total_balance_usd} |

### 2. Asset Holdings

| Token | Amount | Value (USD) | Share |
|-------|--------|-------------|-------|
| {token_1} | {amount} | ${value} | {pct}% |
| {token_2} | ... | ... | ... |
| ... | ... | ... | ... |

**Holding Characteristics**: {LLM analyzes the holding structure, e.g., "Highly concentrated in ETH", "Diversified across multiple DeFi tokens", "Possible market maker"}

### 3. DeFi Positions (if available)

| Protocol | Type | Amount | Status |
|----------|------|--------|--------|
| {protocol} | {Lending/LP/Staking} | ${value} | {Healthy/Near Liquidation} |
| ... | ... | ... | ... |

### 4. PnL Summary (if available)

| Metric | Value |
|--------|-------|
| Realized PnL | ${realized_pnl} |
| Unrealized PnL | ${unrealized_pnl} |
| Win Rate | {win_rate}% |

### 5. Large Transaction History

> Filter: Amount > ${min_value_usd} | Most recent {count} transactions

| Time | Type | Amount | Counterparty | Counterparty Label |
|------|------|--------|--------------|-------------------|
| {time} | {In/Out/Contract Interaction} | ${value} | `{counterparty}` | {label/unknown} |
| ... | ... | ... | ... | ... |

**Transaction Pattern Analysis**:
{LLM analyzes transaction records and identifies patterns:}
- Frequent interactions with an exchange → likely depositing/withdrawing
- Large one-way outflows → possibly liquidating
- Interacting with many new addresses → possibly dispersing funds
- Regular fixed-amount transfers → possibly payroll/OTC

### 6. Fund Flow Tracing

> Trace depth: {depth} levels | Minimum amount: ${min_value_usd}

**Fund Flow Analysis**:
{LLM analysis based on tracing results:}
- Ultimate destination of funds (exchange? mixer? DeFi protocol?)
- Any suspicious patterns (split transfers, circular transfers, obfuscation paths)
- Associated known entities

### ⚠️ Risk Warnings

{If the address has risk flags, prominently display:}
- ⚠️ This address is flagged as: {risk_label}
- ⚠️ Associated addresses involved in: {risk_detail}