Solana pre-trade safety for AI agents: cabal, bundle, dump, deployer & honeypot in one verdict.
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Stop your AI trading agents getting rugged by coordinated wallet cabals. Drop-in template for Claude Code, Cursor, and ElizaOS.
βΆ Try it now: live 3D holder map of any Solana token β β no signup.
Cabal-Hunter is a free on-chain Solana token safety scanner and rug checker. It detects coordinated wallet cabals, same-block bundle buys, serial-launcher deployers and same-block coordinated selling on any Solana mint (pump.fun, PumpSwap, Raydium, Orca, Meteora) β and answers the one question that matters before you ape: are you the exit liquidity? Use it via MCP (Claude, Cursor, ElizaOS), a REST API, or a free interactive 3D holder map.
Your autonomous trading agent is reading rug.check scores, liquidity locks, and contract audits.
None of that catches a cabal.
A handful of wallets take the bottom of a launch, the chart looks clean β contract fine, LP burned, everything green β and then they sell into whoever bought after them. You are the exit liquidity.
This template integrates Cabal-Hunter as a pre-trade safety check, so your agent can see who is holding and who has already positioned to sell before it signs a swap.
A note on what we do and don't claim. This README used to open with "15 fresh wallets funded from the same master wallet, accumulating 25-40% of supply." We went looking for that pattern and could not find it. Tracing 323 pump.fun launches at the bonding curve turned up zero coordinated funding clusters, and showed why: the median launch has about five successful buyers, because on one representative token 1,260 of the curve's 1,266 transactions failed. Launch capture is a sniper race between competing bots, not a quiet cabal. The detection layers below are the ones we can actually evidence β holder concentration, same-block bundles, coordinated selling and deployer history. The pre-launch funding tracer was withdrawn; the full write-up is here.
The classic pump.fun exit-liquidity setup: wallets positioned before the crowd take the bottom of a launch, then dump on the retail (and bots) that pile in after. Cabal-Hunter's headline output is a single Exit-Liquidity Risk verdict β risk_level, one of LOW_SIGNAL | ELEVATED | HIGH that synthesises every signal below into the only thing that matters before you sign a swap: are the insiders positioned to dump on you?
The deployer layer is the one cabals can't dodge: wallets rotate, deployers leave a paper trail. A response of "deployer": {"reputation": "SERIAL_RUGGER", "tokens_launched": 22, "best_peak_usd": 728432, "pump_and_dumps": 2} shows the dev's full track record before the first candle β including whether this "dead" dev has quietly run tokens to six figures and dumped them on holders before. (Honest context: most prolific pump.fun creators have high dead-token rates, so this signal is capped β it flags a token for review but never drives a HIGH verdict on its own.)
FIRST_LAUNCH and UNKNOWN are not the same answer. deployer.verdict of
FIRST_LAUNCH means we walked this creator's history and found no earlier tokens.
UNKNOWN means the history could not be established at all β that is an absence of
evidence, not a clean record, and an agent must not treat it as one. Where a deployer
cannot be resolved the scan says so in words rather than returning a confident silence.
Receipts, not magic. Every wallet cluster carries evidence_txs[] β the raw signatures behind that cluster, checkable on Solscan, and holders carry funding_tx where we resolved one. Holder concentration, deployer history and the honeypot checks are read from chain state, so they carry no transaction of their own: a token can come back HIGH with no clusters at all. Verify what is there rather than trusting a score.
Factual signals from GitHub, npm, and our automated checks β not a rating.
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