The headline differences between TokenSniffer and RektRadar are pricing and angle of attack. TokenSniffer’s Pro tier runs $99 a month for API + advanced features (Solidus Labs acquired them in 2023 and re-priced toward B2B). RektRadar is free, no signup, no card for the public scanner and hub pages, and we sell the deeper monitoring product as a separate subscription. Beyond pricing, the two tools also look at different evidence: TokenSniffer audits the contract source and surface, RektRadar audits the deployer wallet and the mempool. This post walks through both axes.
We have nothing against TokenSniffer. It is a respected name in the space and we use it ourselves when we want a second opinion on a contract. The point of this comparison is not to score one above the other — it is to make the differentiation honest, so you understand what you are getting from each and whether the $99/month is worth it for your specific use case.
Pricing side-by-side
| Tier | TokenSniffer | RektRadar |
|---|---|---|
| Free web scanner | Yes (rate-limited) | Yes (unlimited scans) |
| Free API | No | Yes (10 req/min/IP) |
| Pro tier | $99 / month | Free for web checks; subscription only unlocks deeper monitoring features |
| Enterprise | Custom, contact-sales | Custom, contact-sales |
The price gap matters for two profiles of user. Retail buyers running a few scans a day before a memecoin entry get what they need from RektRadar’s free tier without ever hitting a paywall. Bot operators and Discord moderators who need programmatic API access to thousands of contracts per day pay $99/month at TokenSniffer for the API, where RektRadar’s free 10 req/min/IP covers most cases. Above that volume, both tools negotiate enterprise contracts.
If your only use case is “I want to scan one contract before I buy it” and you do that two or three times a week, RektRadar is free where TokenSniffer’s free tier is rate-limited and a paid plan is overkill for the volume.
We have nothing against TokenSniffer. It is a respected name in the space and we use it ourselves when we want a second opinion on a contract. The point of this comparison is not to score one above the other — it is to make the differentiation honest, so you understand what you are getting from each.
What TokenSniffer does well
TokenSniffer has been around since the 2020-2021 cycle and is one of the most widely cited automated audit tools for memecoins and new launches. Its strengths are:
- Automated audit reports. For any token contract, TokenSniffer produces a structured report covering ownership, liquidity, mint/burn functions, blacklist, anti-whale, and trading restrictions. The format is consistent across tokens, which makes comparing two contracts fast.
- 0-100 contract score. A single headline score with a clear breakdown of what dragged the score down. Buyers who do not read Solidity get a digestible verdict.
- Established brand. When a Reddit thread asks “is this token safe”, TokenSniffer is one of the names that comes up first. That recognition matters because users trust verdicts they have seen before.
- Multi-chain coverage. TokenSniffer supports several EVM chains — Ethereum, BSC, Polygon, and others — so a single tool covers most of the territory where memecoin scams concentrate.
- Snapshot of the audit at scan time. Every report is a point-in-time view, useful for understanding the contract’s state when the buyer first looked at it.
The audit-report format is the core of the product. It is good at what it does: take a contract, run it through a battery of static checks, render a report.
What RektRadar adds
RektRadar’s angle is different. Instead of starting from the contract, we start from the deployer and the mempool. The questions we are answering are: who shipped this, what else have they shipped, and is anything suspicious happening right now in the unconfirmed transactions around it.
- Real-time mempool watching. Two of our three Ethereum nodes are dedicated mempool shards. Suspicious liquidity removals, sandwich-bot positioning, and rug preparations show up before they confirm. A static contract audit cannot see this.
- Deployer factory and funding chain analysis. Every deployer wallet gets clustered against our database. We look at who funded the deployer (often the same upstream wallet that funded ten previous rug deployers), what other contracts the deployer has shipped, and whether any of those rugged. The deployer graph is a strong predictor: a wallet that has shipped 14 brand-jacks in 90 days is going to do it again.
- Brand-jacking detection. A token using the $XRP, $USDT, $PEPE, or $TRUMP ticker on Ethereum has a high prior probability of being a scam, regardless of what its contract source says. Our hub pages list every contract that has used a given ticker, sorted by risk. This is documented in the top 10 most brand-jacked tokens on Ethereum and the $XRP scam tokens deep dive.
- Public dataset and shareable reports. Every scan produces a permanent URL. The aggregate dataset (66,000+ contracts at the time of writing) drives the brand-jack hub pages and the dataset is queryable by anyone via the app.
- Narrower chain coverage. RektRadar is Ethereum-only at the moment. The architecture extends to BSC, Solana, and Base, but those are on the roadmap, not in production. If you need BSC coverage today, TokenSniffer covers it and we do not.
The trade-off is straightforward: TokenSniffer is broader in chains and centered on the contract. RektRadar is deeper on Ethereum-specific deployer and mempool signals.
Side-by-side comparison
| Capability | TokenSniffer | RektRadar |
|---|---|---|
| Chains covered | Multi-chain (ETH, BSC, Polygon, others) | Ethereum mainnet (BSC/Solana on roadmap) |
| Real-time mempool alerts | No | Yes |
| Static contract audit | Yes (core feature) | Yes (one component of the score) |
| Deployer history clustering | Limited | Yes (deployer graph) |
| Funding chain analysis | No | Yes |
| Factory pattern detection | Limited | Yes |
| 0-100 risk score | Yes | Yes (80+ flags) |
| Honeypot simulation | Yes | Yes |
| Brand-jack ticker hub pages | No | Yes (200+ tickers) |
| Free web scanner | Yes (rate-limited) | Yes (unlimited) |
| Pro plan price | $99 / month | $0 for web scans |
| Public API on free tier | No | Yes (10 req/min/IP) |
| Shareable permanent reports | Yes | Yes |
| Brand recognition / trust signal | High (since 2020) | Newer entrant (2026) |
Why the verdicts can differ on the same contract
A static contract audit and a deployer-graph analysis can disagree, and the disagreement is often informative.
A token can pass a contract audit cleanly — ownership renounced, no mint, no blacklist, LP locked — and still be flagged on RektRadar because the deployer wallet is in a known scam cluster. The contract is fine on its face; the people behind it are repeat offenders. We have seen many cases where the same operator deploys a “clean” contract, lets it run for a few days, then either drains via a privileged wallet that the audit did not classify as malicious, or coordinates with a paired wallet that was never the deployer.
Conversely, a token can look suspicious on a static audit (large owner privileges, untransferred LP) but the deployer is a known reputable team that uses an admin wallet for legitimate operational reasons. The contract score would be poor; the deployer-graph signal would be neutral or positive.
Neither tool is wrong in these cases. They are looking at different evidence, and a buyer who sees both verdicts gets more information than one who sees only one.
When to use TokenSniffer
If you are scanning a token on BSC, Polygon, or any non-Ethereum EVM chain, TokenSniffer covers it and we do not. Use it.
If you want a quick contract-level audit with a familiar report format, TokenSniffer’s audit view is well-tuned. The score and the breakdown are easy to read for non-developers.
If you need a second opinion on a contract whose deployer cluster looks clean but the contract itself worries you, the static audit is exactly the angle to consult.
When to use RektRadar
If you are on Ethereum mainnet and you care about deployer history more than contract surface, RektRadar’s graph is built for that question. The brand-jack hub pages are also a useful entry point: search the ticker, see every contract that used it, sorted by risk.
If you want real-time mempool signals — pre-rug alerts, factory monitoring — RektRadar covers it. A static audit by definition cannot.
If you want a permanent, shareable report URL on every scan, both tools support this, but RektRadar’s hub pages also let you discover related scams (same deployer, same factory, same ticker) from a single page.
When to use both
The honest answer is: most of the time. The two tools have low overlap and high complementarity. A 60-second pre-buy workflow that runs TokenSniffer for the contract audit and RektRadar for the deployer + mempool view costs you almost nothing and gives you two independent signals.
If both tools flag the contract, walk away. If both clear it, you still want to do the basic checks from our 7-step pre-buy guide, but you have meaningful confidence. If they disagree, the disagreement itself is data: it usually points at one specific risk vector that one tool weighs more than the other, and that is worth understanding before clicking confirm.
A concrete walkthrough: a brand-jacked memecoin
Take a brand-jacked $PEPE contract — one of the 27 flagged in our top 10 brand-jacked tokens dataset. The contract source is verified, the owner appears renounced, the LP looks locked, and the static-audit checks come back mostly clean. A pure contract audit gives this token a moderate score: a few minor flags, nothing damning.
On RektRadar, the same contract scores 78/100 high-risk. The driver is not the contract code. It is the deployer: the wallet that pushed this $PEPE has shipped 11 other tokens in the last six weeks, nine of them rugged within 72 hours of launch, all using high-search-volume meme tickers. The factory address is tagged. The funder of the deployer also funded six other prolific deployers in our database. The contract surface is fine; the operator is a known scam factory.
This is the canonical case where the two angles disagree, and the disagreement is the lesson. A contract audit is necessary but not sufficient. A clean audit on a dirty deployer is exactly the trap repeat-offender scammers exploit. They know what static audits check for, they avoid the obvious flags, and they rely on the audit-passing contract to give buyers false confidence.
Conversely, there are contracts where the static audit is harsh — large owner privileges, untransferred LP, callable mint — but the deployer is a well-known team operating with a multisig. The contract score is poor, the deployer signal is neutral or positive, and a buyer relying only on the contract score would over-weight the risk.
Neither tool is wrong in either case. They look at different evidence. A buyer who consults both gets a fuller picture.
What stays the same regardless of which tool you use
Both tools read from the same chain. Both run a honeypot sell-side simulation in some form. Both produce a single headline score. Both let you share the report URL. The points of agreement are real and they cover the basic checks every buyer should care about.
What differs is the source of additional risk signal. TokenSniffer adds chains and audit-metadata aggregation. RektRadar adds mempool and deployer-graph signals on Ethereum. Neither is a strict superset of the other.
The relevant question for a buyer is not “which tool is better” — it is “which tool’s blind spot is most likely to hurt me on this specific token”. For a fresh launch from a deployer with no history, the static contract audit is what catches the trap. For a fresh launch from a wallet that has rugged seven previous tokens, the deployer graph is what catches it. Most real-world buys benefit from both checks.
On signal disagreements
When the two tools disagree, our experience is that the failure mode goes in one direction more often than the other: a clean static audit on a deployer with bad history is more common than a flagged static audit on a clean deployer. This is because static-audit-passing is now a target in the design space for scam contracts. The operators write contracts that look normal because they know that is what the auditors check.
This is also why we do not weight the contract audit as the dominant signal in our scoring. The contract surface is one input among several. The deployer history, the funding chain, the factory pattern, and the mempool behavior together carry more weight than the contract source alone, because they are harder for the operator to fake.
That said, we do not want to dismiss static audits. The honeypot detection inside a contract audit does catch many traps, and a contract that fails a static audit is genuinely more risky than one that passes. The static audit is a real signal; it is just not the only signal worth caring about.
Honest verdict
TokenSniffer and RektRadar are complementary, not substitutes. TokenSniffer is the established name with broader chain coverage and a contract-centric audit. RektRadar is the newer, Ethereum-focused entrant with a deployer-graph and mempool angle that a static audit cannot replicate.
If you only have time for one tool and you are on Ethereum, run RektRadar — the deployer signals catch repeat-offender scams that look clean on a contract audit. If you are on any other chain, TokenSniffer is the right starting point. If you are about to put real money on the table, run both.
For the broader context on what RektRadar does and why we built it, see Why we built RektRadar. For a comparison with the canonical block explorer rather than another scam detector, see RektRadar vs Etherscan.