---
name: insider-wallets-finder-cf876b55a704
description: Find and analyze smart money addresses - discover early buyers, track successful traders, identify whale accumulation patterns, and research on-chain alpha.
metadata: {"openclaw":{"requires":{"bins":["python3"]},"install":[{"id":"python","kind":"pip","package":"requests","bins":[],"label":"Install requests (pip)"}]}}
---

# Insider Wallets Finder

## Overview

Identify profitable addresses by analyzing:
- Early token buyers
- Consistent profitable traders
- Whale accumulation patterns
- DEX trading patterns
- NFT flippers

## Find Early Buyers of Token

### Ethereum (ERC-20)

```bash
# Get first 100 transfers of a token
TOKEN="0xTokenContractAddress"
curl -s "https://api.etherscan.io/api?module=account&action=tokentx&contractaddress=${TOKEN}&page=1&offset=100&sort=asc&apikey=YourKey" | \
python3 -c "
import sys, json
from collections import Counter
data = json.load(sys.stdin)
buyers = Counter()
for tx in data.get('result', []):
    buyers[tx['to']] += 1
print('=== Early Buyers ===')
for addr, count in buyers.most_common(20):
    print(f'{addr} | {count} buys')"
```

### Solana (SPL Token)

```bash
# Find early holders using Birdeye API
curl -s "https://public-api.birdeye.so/public/token_holder?address=TOKEN_MINT&offset=0&limit=20" \
  -H "X-API-KEY: your-birdeye-key" | python3 -m json.tool
```

## Analyze Deployer Activity

```bash
# Find what else deployer created
DEPLOYER="0xDeployerAddress"
curl -s "https://api.etherscan.io/api?module=account&action=txlist&address=${DEPLOYER}&sort=desc&apikey=YourKey" | \
python3 -c "
import sys, json
data = json.load(sys.stdin)
contracts = []
for tx in data.get('result', []):
    if tx['to'] == '' and tx['contractAddress']:
        contracts.append(tx['contractAddress'])
print('Deployed contracts:')
for c in contracts[:10]:
    print(c)"
```

## Track Whale Accumulation

```bash
python3 << 'EOF'
import requests

TOKEN = "0xTokenAddress"
API_KEY = "YourEtherscanKey"

# Get top holders
url = f"https://api.etherscan.io/api?module=token&action=tokenholderlist&contractaddress={TOKEN}&page=1&offset=50&apikey={API_KEY}"
resp = requests.get(url).json()

print("=== Top Holders ===")
for holder in resp.get('result', [])[:20]:
    addr = holder['TokenHolderAddress']
    qty = float(holder['TokenHolderQuantity']) / 1e18
    print(f"{addr[:20]}... | {qty:,.2f}")
EOF
```

## Find Profitable DEX Traders

### Analyze Uniswap Trades

```bash
python3 << 'EOF'
import requests

# GraphQL query for top traders
query = """
{
  swaps(first: 100, orderBy: amountUSD, orderDirection: desc, where: {amountUSD_gt: "10000"}) {
    sender
    amountUSD
    token0 { symbol }
    token1 { symbol }
  }
}
"""

resp = requests.post(
    "https://api.thegraph.com/subgraphs/name/uniswap/uniswap-v3",
    json={"query": query}
).json()

from collections import Counter
traders = Counter()
for swap in resp.get('data', {}).get('swaps', []):
    traders[swap['sender']] += float(swap['amountUSD'])

print("=== High Volume Traders ===")
for addr, vol in traders.most_common(10):
    print(f"{addr[:20]}... | ${vol:,.0f}")
EOF
```

## Solana DEX Analysis

### Find Raydium/Jupiter Traders

```bash
# Using Birdeye API
curl -s "https://public-api.birdeye.so/public/txs/token?address=TOKEN_MINT&tx_type=swap&limit=50" \
  -H "X-API-KEY: your-key" | \
python3 -c "
import sys, json
from collections import Counter
data = json.load(sys.stdin)
traders = Counter()
for tx in data.get('data', {}).get('items', []):
    traders[tx.get('owner', '')] += 1
print('Active Traders:')
for addr, count in traders.most_common(10):
    print(f'{addr[:20]}... | {count} trades')"
```

## NFT Flipper Analysis

```bash
python3 << 'EOF'
import requests

# OpenSea API - find profitable flippers
collection = "boredapeyachtclub"
url = f"https://api.opensea.io/api/v1/events?collection_slug={collection}&event_type=successful&limit=50"

resp = requests.get(url, headers={"Accept": "application/json"}).json()

from collections import defaultdict
profits = defaultdict(float)

for event in resp.get('asset_events', []):
    seller = event.get('seller', {}).get('address', '')
    price = float(event.get('total_price', 0)) / 1e18
    profits[seller] += price

print("=== Top Sellers ===")
for addr, total in sorted(profits.items(), key=lambda x: -x[1])[:10]:
    print(f"{addr[:20]}... | {total:.2f} ETH")
EOF
```

## Cross-Reference Multiple Tokens

```bash
python3 << 'EOF'
import requests
from collections import Counter

API_KEY = "YourKey"
tokens = [
    "0xToken1",
    "0xToken2",
    "0xToken3"
]

all_early_buyers = Counter()

for token in tokens:
    url = f"https://api.etherscan.io/api?module=account&action=tokentx&contractaddress={token}&page=1&offset=50&sort=asc&apikey={API_KEY}"
    resp = requests.get(url).json()

    for tx in resp.get('result', []):
        all_early_buyers[tx['to']] += 1

print("=== Addresses in Multiple Early Buys ===")
for addr, count in all_early_buyers.most_common(20):
    if count >= 2:
        print(f"{addr} | {count} tokens")
EOF
```

## Labeled Address Databases

### Check Known Addresses

```bash
# Etherscan labels
curl -s "https://api.etherscan.io/api?module=account&action=balance&address=ADDRESS&tag=latest&apikey=YourKey"
```

### Arkham Intelligence (API)

```bash
curl -s "https://api.arkhamintelligence.com/intelligence/address/ADDRESS" \
  -H "API-Key: your-arkham-key" | python3 -m json.tool
```

## Pattern Detection

### Find Addresses with Similar Behavior

```bash
python3 << 'EOF'
import requests
from datetime import datetime

TOKEN = "0xTokenAddress"
API_KEY = "YourKey"

# Get all transfers
url = f"https://api.etherscan.io/api?module=account&action=tokentx&contractaddress={TOKEN}&sort=asc&apikey={API_KEY}"
resp = requests.get(url).json()

# Group by timing
from collections import defaultdict
timing = defaultdict(list)

for tx in resp.get('result', []):
    block = int(tx['blockNumber'])
    timing[block // 100].append(tx['to'])  # Group by ~100 blocks

# Find coordinated buying
print("=== Potential Coordinated Buys ===")
for block_group, buyers in timing.items():
    if len(buyers) >= 3:
        unique = set(buyers)
        if len(unique) >= 3:
            print(f"Block ~{block_group * 100}: {len(unique)} unique buyers")
            for b in list(unique)[:5]:
                print(f"  {b}")
EOF
```

## Research Tools

| Tool | Purpose | Link |
|------|---------|------|
| Nansen | Labeled addresses | nansen.ai |
| Arkham | Intel platform | arkhamintelligence.com |
| Bubblemaps | Holder visualization | bubblemaps.io |
| DeBank | Portfolio tracking | debank.com |
| Dune | Custom queries | dune.com |
| Birdeye | Solana analytics | birdeye.so |

## Dune Analytics Queries

Find smart money on Dune:
```sql
-- Top profitable traders
SELECT
  trader,
  SUM(profit_usd) as total_profit,
  COUNT(*) as trade_count
FROM dex.trades
WHERE block_time > now() - interval '7 days'
GROUP BY trader
HAVING SUM(profit_usd) > 10000
ORDER BY total_profit DESC
LIMIT 50
```

## Notes

- All blockchain data is public
- Use for research and education
- Cross-reference multiple sources
- Patterns don't guarantee future performance
- Consider transaction fees in profit calculations
- Some "insiders" may be arbitrage bots
- Always verify findings manually


---
Source attribution: kbarbel640-del
Original project: https://github.com/kbarbel640-del/skills/blob/e7e336ac628c3e3bd771aff1aaa469c93778f94a/skills/sakaen736jih/insider-wallets-finder/SKILL.md
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Dave AI.

## Upstream license notice

MIT License

Copyright (c) 2026 clawdbot

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Dave AI resource metadata

Creator / publisher: kbarbel640-del
Original project: https://github.com/kbarbel640-del/skills/blob/e7e336ac628c3e3bd771aff1aaa469c93778f94a/skills/sakaen736jih/insider-wallets-finder/SKILL.md
Attribution basis: Source repository record

Fields of work: Data & Analytics, Marketing, Product Management, Sales
Roles: Business Development, Data Analyst, Growth Marketer, Marketing Analyst, Product Manager
Specialties: API
Tools: Birdeye, Etherscan, Opensea
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: b26dad58ac33d1fb6454a35688ea7517b8efdfe1a853c28396ec69d0dfee5d9d