ADDR=<address>
# Detect chain from address format above
CHAIN=<detected>  # ethereum | solana | base | ...

# 1. Labels
nansen research profiler labels --address $ADDR --chain $CHAIN
# → label, category (e.g. "Smart Trader", "Fund", ENS names)

# 2. Related wallets (First Funder, Signer, Deployed via)
# Repeat with --page N+1 until is_last_page: true
nansen research profiler related-wallets --address $ADDR --chain $CHAIN
# → address, address_label, relation, block_timestamp, chain

# 3. Counterparties — start with 90d
# Repeat with --page N+1 until is_last_page: true
nansen research profiler counterparties --address $ADDR --chain $CHAIN --days 90
# → counterparty_address, counterparty_address_label, interaction_count, total_volume_usd
# If empty, retry with --days 365
# EVM only — also check L2s (4 extra API calls per address):
# nansen research profiler counterparties --address $ADDR --chain base --days 365
# nansen research profiler counterparties --address $ADDR --chain arbitrum --days 365
# nansen research profiler counterparties --address $ADDR --chain optimism --days 365
# nansen research profiler counterparties --address $ADDR --chain polygon --days 365

# 4. Batch profile the cluster
# Use addresses collected from steps 1-3
nansen research profiler batch --addresses "<addr1>,<addr2>,..." --chain $CHAIN --include labels,balance,pnl
# → per-address: labels, balance, pnl_summary

# 5. Compare pairs
nansen research profiler compare --addresses "<addr1>,<addr2>" --chain $CHAIN
# → shared_counterparties, shared_tokens, overlap_score

# 6. Coordinated balance movements
# Repeat with --page N+1 until is_last_page: true
nansen research profiler historical-balances --address $ADDR --chain $CHAIN --days 90
# → token_symbol, balance snapshots over time

# 7. Multi-hop trace — only if steps 2-3 are inconclusive
nansen research profiler trace --address $ADDR --chain $CHAIN --depth 2 --width 3
# → root, nodes (address list), edges (from→to with volume), stats (nodes_visited, edges_found)