Retrieve holder profile summary for a specified token, including token market data, holder summary, and breakdown by holder tags (bundler, sniper, insider, dev, smart_trader, kol, whales). Supported chains: Solana and Robinhood. On Robinhood, only the bundler, sniper, smart_trader and kol tags are computed and returned, and token amounts are always raw (no scaled UI).
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Cohort-level holder summary for labeled wallets.
- Supported holder tags are
bundler,sniper,insider,dev, andsmart_trader. holder_summaryaggregates all labeled holders returned by the profile.tagsbreaks the token down by holder label, with holder count, held amount, supply share, buy/sell volume, average buy price, and PnL.top10_holdersummarizes the token's top 10 holders separately from labeled cohorts.include_zero_balance=trueincludes wallets that traded the token but no longer hold it.
- Standard
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Solana
Compute Unit ⚙️
- This endpoint consumes
25 CUper request.
Wallet Tag Definitions 🏷️
-
dev — The wallet that created the token: the mint creator from the initialize-mint transaction.
-
sniper — A wallet that bought within the first
nblocks of the token, counted from the token's first swap. On Solana,n = 5; a buy qualifies when its slot is withinfirst_trade_slot + 5. -
bundler — Coordinated buying detected in either level:
- Level 1: at least 4 buy transactions in the same slot.
- Level 2: at least 3 distinct wallets buying across adjacent slots, where max slot gap is 1.
-
insider — A wallet that received the token directly from the Chef wallet via token transfer, not via a swap.
-
smart_trader — A non-bot wallet ranked in Top Realized PnL over the last 90 days with realized PnL > $10,000. Wallets identified as bots are excluded before ranking and never receive this tag.
Use Cases 💡
- Compress token-holder intelligence into one executive snapshot: market context, top-holder concentration, labeled-holder exposure, and cohort-level PnL.
- Score token quality by comparing how much supply is controlled by bundlers, snipers, insiders, developers, and smart traders.
- Build risk panels that highlight whether suspicious cohorts dominate supply or whether higher-quality smart-money wallets are participating.
- Track cohort conviction through hold amount, percent of supply, buy/sell volume, average buy price, and unrealized PnL.
- Use as the top-level overview before drilling into Holder Positions for the exact wallets behind each label.
How to Use 🛠️
- Provide a Solana
token_address. - Use
interval=1hfor the volume fields returned in the profile. - Set
ui_amount_mode=rawfor raw token amounts orui_amount_mode=scaledfor Solana Token-2022 scaled UI amounts when the token supports scaled UI amount extension. - Set
include_zero_balance=falsewhen you only want wallets that still hold the token. - Read
token,holder_summary, andtagstogether to connect market context with cohort behavior.
Best Practices ✅
- Use holder-profile as the first stop for token-holder risk review, then drill into holder-positions for wallet-level evidence.
- Compare
percent_of_supplyacross labels before trusting volume alone; small active cohorts can still control meaningful supply. - Watch for a high share of bundler, sniper, insider, or dev holdings when evaluating launch quality.
- Treat smart-trader participation as one signal among several; validate it against liquidity, price action, and current holdings.
Limitations ⚠️
- Solana only.
intervalcurrently supports1h.- Holder labels depend on available indexing and classification coverage.
- Cohort summaries are not wallet-level evidence; use holder-positions when you need exact wallets.