About nansen-token-forensics
nansen-token-forensics is a nansen-cli skill for tracing token transfers and identifying where tokens move and who sends or receives them. Address labels and transfer values help assess exchange inflows and fresh-wallet activity.
Key features
- 01Query token transfers over a chosen period
- 02Inspect sender and recipient labels
- 03View transfer amounts and USD values
Use cases
- 01Track large transfers to exchange addresses
- 02Assess fresh-wallet inflows and possible sell pressure
Install
Copy the command and run it in a terminal.
$
npx skills add https:/ / github.com/ nansen-ai/ nansen-cli --skill nansen-token-forensicsAfter installing, type/nansen-token-forensicsin Claude Code to confirm it loaded.
Details
From the project READMEToken Forensics
Answers: "Where is this token moving? Who is sending it and where?"
TOKEN=<address> CHAIN=ethereum
# Examples: UNI on ethereum (0x1f9840a85d5aF5bf1D1762F925BDADdC4201F984)
# BONK on solana (DezXAZ8z7PnrnRJjz3wXBoRgixCa6xjnB7YaB1pPB263)
# Note: token flows does NOT support stablecoins (USDC, USDT, etc.) — use non-stablecoin tokens
nansen research token transfers --token $TOKEN --chain $CHAIN --days 7 --limit 20
# → from_address_label, to_address_label, transfer_amount, transfer_value_usd
nansen research token flows --token $TOKEN --chain $CHAIN --days 7 --limit 20
# → date, price_usd, holders_count, total_inflows_count, total_outflows_count
# ⚠ Returns HTTP 422 for stablecoins — skip this command if TOKEN is a stablecoin
nansen research token flow-intelligence --token $TOKEN --chain $CHAIN
# → net_flow_usd per label: smart_trader, whale, exchange, fresh_wallets, public_figure
Rising exchange_net_flow + large transfers to exchange addresses = potential sell pressure. Fresh wallet inflows may signal new interest or wash trading.
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