The truth before you ape.

The wallets big enough to move the price on their own, and the share each one controls. If a single exit would erase the chart, that wallet is your real counterparty.

The holder base as a picture: one bubble per wallet, sized by holding, with lines where wallets are connected. A tight web holding most of the supply is one group.

Bot wallets that bought in the first 120 seconds: SOL spent, tokens bought, current holdings, and whether each has sold, transferred, partially exited or still holds.

A force-directed graph of transfers and shared funders between top holders. Sybil clusters and dev-linked wallets stop hiding as separate addresses.

What the creator’s wallet does after launch: sells, holds, transfers.

Top holders scored on historical win rate and PnL: the experienced wallets, and the bagholders beside them.

What those top-performing wallets are actively buying right now.

Wallets that mirror each other’s trades.

Top holders whose wallets are younger than the launch, in 24h, 7d, 21d and 45d bands with tiered scoring. A virgin check runs beside them: aged wallets that had never traded a token before this one.

Any wallet’s trading record: win rate, realised PnL (SOL + USD), per-token breakdown, smart score and average hold time, from its last 100 swaps.

Price impact and slippage for any sell size from live pool data (constant-product math), with a max safe exit and a liquidity-to-market-cap health ratio.

X mention volume and sentiment, community bullish/bearish votes and social presence folded into one 0–100 score with a 7-day timeline.

Coordinated launch buys traced by funding source and timing, with sold/holding status per wallet. Jito atomic bundles, multi-hop funding chains, identical-amount clustering, dev-funded wallets and confidence-scored groups. Launches made with bundling tools such as Proxima and Sumo are recognised and tagged, and their fleet wallets are matched against a registry of known bundlers. Five genesis strategies reach launch data on 40k+ transaction tokens where a standard scan cannot.

Coordinated buys inside post-launch pumps, not just at launch. Every volume spike at 3× the rolling 7-day average gets its own bundle scan.

The top 20 holders of up to 3 tokens, and which other tokens those wallets share, as a force-directed bubble graph. Narrative groups and insider networks across tokens at once.

Each top holder’s funding traced to a specific exchange hot wallet, grouped by KYC tier, with mixer and bridge inflows flagged.

Wallet-to-wallet funding edges between top holders: who funded whom before launch, drawn as a graph.

Funding edges collapsed into bands of wallets that act as one operator, measured on the circulating float. Carries operator memory: the funders behind each band are matched against every prior launch they seeded, with its outcome.

Wallets pinning an identical compute-unit price or Jito tip share one bot’s settings. It catches an operator who sells the launch wallets and re-enters through a fresh generation. Solana only.

The creator’s full record across every token they launched: survival rate, serial-rug detection, thriving vs dead outcomes, average liquidity, and a clickable history.

Every current holder matched against a database of notable wallets (KOLs, X traders, labelled wallets). Informational only, never scored.

Wallets caught by two or more independent evidence families: launch timing, wallet age, insider transfers, shared funder, prior rug history. Three disguises on one wallet is one operator.

A ledger that compounds. Every flagged wallet is remembered; when a token later dies, its wallets become confirmed rug participants and are flagged on sight next time, together with the operators behind every Sybil band.

How the top 50 positions moved over time from balance checkpoints, with 24h/7d deltas. Each whale is labelled accumulating, distributing, holding or new.

The wallets holding two or more of up to 3 tokens, each sized by how many it holds. A handful of wallets on top of every token you entered is the same-operator signal.

Which bots and apps the top 100 wallets trade through: 40+ named terminals, fingerprinted by router program and fee wallet, labelled on every module.

The earlier launches of the same deployer, the same funders or the same bundle wallets, replayed from their one-minute candles: how high each went, how long it took, how fast it fell after the top, and where this token is on that clock now. A record, not a forecast.

What the bundles and the snipers paid against today’s market cap: the multiple they sit on, the market cap they break even at, what Still held is worth, and what selling it into today’s pool would bring them.

A buy of your size, sold after the biggest operator, the bundles, the snipers or the dev sell first, on the pool Dump Impact prices: what it comes back as, the new buying it takes to get your money back, and the largest buy that still gets out within 10%.