Drill into the Wallet Tags Tracker: for each time bucket, list the individual tagged wallets that traded, with their per-wallet buy/sell volume and transaction counts. Use it to see exactly which developers, snipers, or smart-money wallets were active in a given candle.
| Time | Status | User Agent | |
|---|---|---|---|
Retrieving recent requests… | |||
One row per wallet, per bucket. The response is a list of time buckets (items); each bucket has a unix_time (bucket open time) and a wallets array of the tagged wallets that traded in it.
- Each wallet row carries its own
volume_buy/volume_sell(token amounts) andvolume_buy_usd/volume_sell_usd, plustx_buy_count/tx_sell_count. tagslists the wallet's tags for this token (dev,sniper,smart_trader). A wallet can carry several.is_top_10_holderappears only whentop_10_holder=true, flagging wallets that are among the token's top 10 holders.
Reading the numbers. Volumes are gross and leg-based — a transaction that both buys and sells counts on both sides, with no netting. tx_buy_count / tx_sell_count count that wallet's buy/sell transactions in the bucket. Wallets are ordered by USD volume descending and capped per bucket by limit_wallet; buckets with no activity are omitted. At most limit_bucket buckets are returned — while has_more is true, pass next_time_from back as time_from to page forward.
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Solana
Use Cases 💡
- Drill into a single candle to see exactly which developers, snipers, and smart-money wallets bought or sold.
- Turn a volume spike from the summary endpoint into the actual wallet addresses behind it — ready to label, follow, or alert on.
- Track a known set of wallets over time by passing
wallets=, watching how specific actors accumulate or exit bucket by bucket. - Build wallet-level launch forensics and post-mortems that name who drove each phase, not just how much volume moved.
How to Use 🛠️
- Provide a
token_address, a requiredtime_fromunix timestamp in seconds, and a requiredtime_frame. Omittime_toto read activity up to now.- Pick
time_frameby the question you're asking:1s–30sfor launch forensics,1m–30mfor intraday rotation,1h–1Mfor trend. - Use
tags=dev,sniper,smart_traderto narrow the cohorts, orwallets=addr1,addr2(up to 50) to restrict to specific addresses. - Set
min_volume_usdto drop dust wallets, andtop_10_holder=trueto flag top holders viais_top_10_holder. - Tune
limit_wallet(wallets per bucket, up to 50) andlimit_bucket(buckets returned, up to 300). Whilehas_moreis true, passnext_time_fromback astime_fromto page forward.
- Pick
Best Practices ✅
- Use the Wallet Tags Tracker (summary) to spot the interesting buckets first, then drill into those windows here for the wallet-level detail.
- Raise
min_volume_usdto focus on wallets that actually moved the market and keep noise out of dashboards. - Pass
wallets=to follow a known cohort — insiders, a dev's set, or flagged smart money — across every bucket in the range. - Keep
limit_wallettight for UI tables and page buckets withnext_time_fromrather than requesting an oversized range at once.
- Raise
Limitations ⚠️
- Solana only.
- Supported tags are
dev,sniper, andsmart_trader. - Maximum range per time_frame — seconds: 30 days, minutes: 60 days, hours: 90 days,
1D/1W/1M: 365 days. Exceeding it returns 400. - Some highly held or high-cost tokens (wSOL, USDC, USDT, BONK) are not supported for this endpoint.
- Supported tags are