Axiom
The Solana terminal that challenged Photon: 0.7% fees, perps and sub-second execution - anonymous team, expensive segment.
Telegram and web snipers for memecoins - the fastest, scammiest lane in crypto. Treated with the caution it deserves.
Short answer: Axiom is our top-rated sniper bot as of 2026-10-18 (5.7/10), fee per trade.
bots on this page: 8 · fully reviewed (active): 8 · free or with a free tier: 8 · need no third-party API keys: 8
quick picks
The Solana terminal that challenged Photon: 0.7% fees, perps and sub-second execution - anonymous team, expensive segment.
The established Telegram sniper (four chains, own $BANANA token) - fees honestly documented: 0.5% manual / 1% snipes.
Multi-chain sniper terminal (Solana/ETH/BSC/Base) with perps - ~1% fees, JS-only site, treat details as reported.
The most-used Solana memecoin sniper web app - extremely fast, extremely expensive per trade, extremely risky segment.
Memecoin terminal with wallet-copy features (Solana/Tron/Base) - ~1% fees (reported), scam-adjacent segment documented with caution.
The EVM-chain Telegram veteran: trade monitors, positions ledger, multi TP/SL - ~1% fees (reported), anonymous team.
Telegram-first Solana sniper with web mirror - ~0.9% fees (reported), classic sniper risk profile.
The BONK-ecosystem Telegram bot for Solana swaps and sniping - ~1% fees (reported), Telegram-only, memecoin-native.
| Bot | Type | Keys | Price | Trade fee | Free tier | US | Status |
|---|---|---|---|---|---|---|---|
| Axiom | DEX / Telegram sniper | wallet | 0.7% per trade | 0.7% per trade | yes | - | - |
| DEX / Telegram sniper | wallet | 1% per trade | 1% per trade | yes | - | - | |
| DEX / Telegram sniper | wallet | 1% per trade | 1% per trade | yes | - | - | |
| Photon | DEX / Telegram sniper | wallet | 0.9% per trade | 0.9% per trade | yes | - | - |
| GMGN | DEX / Telegram sniper | wallet | 1% per trade | 1% per trade | yes | - | - |
| DEX / Telegram sniper | wallet | 1% per trade | 1% per trade | yes | - | - | |
| Trojan | DEX / Telegram sniper | wallet | 0.9% per trade | 0.9% per trade | yes | - | - |
| BONKbot | DEX / Telegram sniper | wallet | 1% per trade | 1% per trade | yes | - | - |
Live values from our database - details and caveats in each review. "-" = not documented.
The category's economics are unforgiving by construction. A "free to install" Telegram bot charging 0.9-1% per side needs a token to move ~5% in your favor per round trip just to break even - before taxes, before the launches that never let you sell, before the rug. Compare: an exchange-native grid bot pays 0.05% per side, twenty times less, with a real counterparty (our grid hub does that fee math in full).
Across the 8 snipers we track, the base fee runs 0.7%-1% - and 8 of them are wallet-connected, meaning your approvals are the custody surface[8]. The transparency signal is worth reading before the fee: Banana Gun documents its charge on a fetchable site[1]; BullX and Maestro serve JS shells[2][3]; Photon and Axiom block datacenter verification entirely[4][5]. In a lane where the operator holds your trading flow, opacity is data.
Memecoin launches on permissionless DEXs are adversarial by design: mint authority tricks, LP manipulations, bundled supply, coordinated dumps. The crime literature treats the rug as the structural default of unvetted launches[9]; our scam patterns guide adds the follow-on layer - fake recovery services that re-victimize. Anti-rug filters (mint revoked, LP burned, holder distribution) filter yesterday's rug; the competition you are sniping against upgrades first and faster.
This is why our scores in this lane run 5.0-5.7 - the lowest on the site - not because the bots malfunction, but because the game's expected value is negative for most participants and the platforms monetize participation, not outcomes. The FCA's bot-branded warnings target the same audience through the same channels (Instagram, Telegram)[8]; the scam funnel documented in our scam patterns guide starts here.

Almost every sniper in this table runs a two-way referral system: invite codes grant fee discounts, referrers earn a share of the referred users' fees. That explains the shape of the community corpus - the highest-scoring posts about these bots are referral-linked filter guides[6][7], and every fee number arrives with a discount code attached. Referrals are not inherently dishonest; they are structurally biased - the referrer profits from your trading volume, not your outcomes. Read every fee claim twice: once against the operator's own documentation where it exists[1], once against your own transaction history after the first trades.
The referral economics also explain feature churn. Filter presets, speed tiers and "premium" RPC access are differentiation levers aimed at referrer promotion cycles as much as at utility. When a bot's most-discussed feature is its invite program rather than its fill quality, that is the market telling you what actually sells.
Most of this page's bots resist the verification our other lanes get: operator sites that block datacenter IPs[4][5], JS-only rendering[2][3], fee pages that live in referral posts[6][7]. We document each fetch result honestly rather than guessing - and our reviews carry the per-bot transparency notes. That is why the fee table above cites community documentation where operator pages fail: it is the honest state of what can be verified, marked as such, not a clean matrix pretending otherwise.
What can be verified universally is the math: base fees are charged on-chain per trade and visible in your own transaction history. After your first ten trades, reconcile every fee line against this page's table - discrepancies between marketed and charged fees are exactly the kind of finding our comment sections exist for. The lane's information vacuum is filled by users who check their own fills - not by users who hope. Reconcile early, reconcile often, and the marketed fee table stops being a stranger.
A closing calibration: every other lane on this site gets a recommendation-shaped summary because its trade-offs are priceable. This one gets a warning-shaped one instead - the bots compete hard, the fees are knowable, the filters improve every quarter, and the game still takes most of its participants' money to the structure of launches themselves[9]. If that paragraph reads as a dare, budget it like one - in writing, with a monthly ceiling, before the first Telegram bot ever opens.
Three layers: base fee (0.7-1% per trade in our fee table), priority fee or Jito tip per fill (spikes at token launches), and slippage/MEV on thin pools. Our $1,000-position model puts the round trip at $24-55 total friction - a 2.4-5.5% hurdle before any edge.
Market structure, not greed: snipers compete for the same launch block, so they pay priority tips; they fill on thin pools with real slippage; and the platforms monetize per trade because usage is bursty. Exchange-native bots at 0.05-0.1% look free by comparison.
Sometimes, briefly, for a minority. The fee stack plus rug exposure means most participants lose; the visible winners cluster around faster infrastructure and earlier information. No bot feature list changes that arithmetic.
Most Telegram/web snipers run two-way referral systems - fee discounts for invite codes, often promoted with "10% off" posts. The referral spam dominates the community corpus[6][7]; treat every fee claim from a referrer as competitive marketing, not documentation.
Our fee table runs 0.7% (Axiom, community-documented[7]) to 1% (Trojan, Banana Gun, GMGN, BONkbot per our research). The spread matters less than the stack: tips and slippage often exceed the base fee during launches.
Filter presets (mint authority revoked, LP burned, holder distribution, top-holder concentration) and auto-sell on liquidity removal. Useful - and not protection: rug variants evolve faster than filters, and our corpus documents losses on "filtered" launches.
The tracked ones are wallet-connect (never seed phrase - any bot asking for a seed phrase is a drainer, full stop). The residual risk is token approvals: revoke approvals after sessions, and treat unknown tokens airdropped to the wallet as hostile.
Serious snipers run paid private RPCs or dedicated nodes - latency is the competition. The consumer bots route through their own infrastructure; that is included in the fee. If you need a guide to explain RPC, you are the exit liquidity in that race, which is worth knowing about yourself.
The category's losses are mostly structural (rugs, fees, competition) rather than platform hacks - with the standing caveat that several operator sites are JS-shells or 403 to verification, which is itself a transparency signal. Our incident timeline covers exchange-side events; this lane's incident ledger is the rug one.
Some bots offer simulation or paper modes; the honest answer is that paper sniping proves the filters, not the fill reality - priority tips and slippage only exist with real competition. Budget losses you would spend on entertainment and stop there.
Because demand is real and the information vacuum is filled by referral spam. Our reviews document fees, custody and transparency signals per bot - with the risk profile front and center, and the scoring reflecting it (this lane holds the lowest scores on the site, 5.0-5.7).