An Arkham Intelligence Alternative Built Around Transparency and Token Safety

Arkham Intelligence is one of the most widely used on-chain intelligence platforms. Its core product is free, its entity database is very large, and its visualizer is excellent for tracing funds. If your main question is "who owns this wallet?", Arkham is a strong answer.

DeepGyre is built around a different set of questions:

• Can I safely buy and sell this token?
• How exactly was this number calculated?
• What does the data not cover?

It launched in September 2026. Its entity database is a small fraction of Arkham's, and we say so throughout this page. What it offers instead is a public methodology, a buy/sell simulation for tokens, and metrics that show "unavailable" rather than a confident zero when a source fails.

Try every DeepGyre feature free for 7 days — no card needed. Start the trial →

Why people look for an Arkham alternative

Arkham is free, so price is rarely the reason. The reasons we see are about fit:

1. Token safety. Arkham is built for tracing entities and funds. Traders who buy new tokens need a different check: whether the token can be sold, what it costs to sell, and whether the contract hides traps.
2. Methodology. Analysts who publish research need to know how a metric is built, not only what it shows.
3. Market metrics in the same place. Bitcoin on-chain indicators, derivatives, stablecoin flows and token unlocks alongside wallet tracking.
4. A separate business model. Arkham also operates a trading exchange and an intelligence marketplace. Some users prefer an analytics tool whose only product is analytics.

What DeepGyre does differently

Every number comes with its construction

DeepGyre's Methodology page publishes sixteen rules, each with the measured cost of breaking it. Examples:

• NULL is not zero. When a provider fails, the figure is shown as unavailable, with the reason, instead of $0.
• Activity is not identity. A wallet is never assigned to an entity just because it transacted with one. Adopted attributions are marked as inferred, with lower confidence than curated ones, so you can tell them apart.
• Seeds are validated, never trusted. When two sources claim the same wallet for two different exchanges, the conflict is shown or resolved with the evidence named — never silently settled by "first one wins".

The metric library documents eighteen metrics this way, from MVRV to stablecoin net flows.

A token scanner that tests the sell

The token scanner checks contract permissions, taxes and ownership. On Ethereum, BNB Chain and Base it also simulates a buy and then a sell, a few blocks later, against the token's own pool. Nothing is signed or sent.

This catches tokens that let you buy but block your sale. In our first engine study, a Base token passed the reference check but failed every simulated sell; its own transfer logs later showed tens of thousands of buyers and no address ever selling back into the pool. Where no sell test could run, the report says "Sell not verified", never "safe".

Wallet flows and entity pages

• Wallet flow visualizer: follow funds between wallets.
• Address labels: ~40.8 million labelled addresses (about 956,000 curated), every import tagged by its origin so a bad set can be removed.
• Entity pages such as /entity/binance: tracked addresses and balances across chains, with each claim's confidence.
• Forged-transfer detection: wallet histories hide fake token transfers emitted by address-poisoning contracts behind a "suspicious" toggle, instead of showing them as the asset they impersonate.

Market intelligence beside the wallets

Bitcoin on-chain metrics, exchange reserves, derivatives and order flow, token unlocks, stablecoin flows and a global macro section — on the same platform as the scanner and the whale tracker.

DeepGyre vs Arkham at a glance

Arkham figures from public materials and third-party reports as of October 2026; some are unverified, as marked. Check Arkham's own site before deciding.

Where Arkham is stronger — honestly

• Entity coverage. Arkham's own guide describes a very large named-entity database plus an extensive tags-and-labels set; its entity attribution is deeper than ours. Ours is around 40.8 million labelled addresses (about 956,000 curated), each with its source and confidence tier shown. If attribution is the job, Arkham will name more wallets.
• Price. Arkham's core is free. DeepGyre has a Free tier too, but Smart Money, derivatives and unlimited scans need Pro.
• The visualizer. Arkham's graph tooling is mature and widely used for investigations.
• Track record. Arkham has years of public investigations behind it. DeepGyre is new.
• Payment. DeepGyre's paid plans are paid in crypto from your own wallet; there is no card checkout. The 7-day trial and Free tier need no payment. See pricing.

Where DeepGyre is the stronger choice

• Before a trade. A simulated sell is a different, more direct test than reading a contract.
• When you must defend a number. The method behind every metric is published and every gap is named.
• When you want one place for wallets and markets. On-chain metrics, derivatives, unlocks and flows sit beside the scanner.
• When you prefer to pay in crypto. Plans are paid from your own wallet, with no card details stored.
• When you work in another language. The interface is available in English, Arabic, French, Spanish and Turkish.

Using both

Many readers will keep Arkham for attribution and add DeepGyre for token safety and methodology-first metrics. That is a reasonable setup. The two tools answer different questions, and the Free tiers of both make it cheap to run them side by side.

Walkthrough: checking a new token before you buy

This is the workflow DeepGyre is built around. You can follow it during the trial with any token you are considering.

1. Paste the contract into the scanner and pick its chain. Chain detection matters: the same address can exist on several chains with different code.
2. Read the sell result first. On Ethereum, BNB Chain and Base, the report shows whether the simulated sale went through and what it cost, compared with the pool's own quote. A buy that works and a sell that reverts is the definition of a honeypot.
3. Check the cap. Some tokens let you sell only part of your balance at once. The report names this separately ("cannot sell all"), because it is a trading restriction, not necessarily a honeypot.
4. Compare the two engines. When our simulation and the reference security check disagree on a tax or on sellability, both answers are shown side by side. A disagreement is a signal to look closer, not something to average away.
5. Look at who holds the supply. In Token Lens, the top-holders drill-down lists each chain's largest holders. Names come from our labels, with their source, where we know them; an unknown wallet stays "address". Shares are computed over that chain's own supply, not a price vendor's circulating figure.
6. Check the code family. If the contract's code matches a family whose members already failed a sell in our simulation, the report says so. A shared code template alone is not a risk factor, because thousands of honest tokens share standard templates.
7. Decide with the gaps in view. Anything that could not be read is listed as not verified. A missing check is never quietly counted as a pass.

On Arkham, the equivalent steps start from the deployer and holder wallets. That is useful context, but a different question from "can I sell?"

Questions to ask any on-chain analytics tool

Whichever platform you choose, these five questions separate numbers you can rely on from numbers you are merely shown:

1. What happens when a data source fails? Does the tool show "unavailable", or does a failed request turn into a zero that gets summed into a total?
2. Is a partial refresh allowed to overwrite a complete one? If a provider returns half a wallet's tokens, does the balance silently halve?
3. How was this wallet attributed? Was the owner's own disclosure used, curated research, or an inference from activity? With what confidence?
4. Where does a token's price come from? Is there a real market for that exact contract, or just a price feed that values a token nobody trades?
5. Is the method written down? Can you read how the metric is built, or only what it shows?

DeepGyre's methodology answers each of these in public, and that is the standard we ask to be judged against.

A 7-day evaluation plan

1. Scan three tokens you know: one blue chip, one you know is safe, and one known rug. Check the verdicts against what you know.
2. Trace one wallet in both tools and compare which counterparties each one names, and with what confidence.
3. Read the construction of one metric you already follow elsewhere.
4. Set one alert on a whale or a token.
5. Decide on day 7. No card is stored; the trial just ends.

Frequently asked questions

See it on data you already know

Start the free 7-day trial → · Read the methodology · Scan a token

Competitor information reflects publicly available materials as of October 2026 and may change. Arkham and Arkham Intelligence are trademarks of their owner; DeepGyre is not affiliated with Arkham.

Sources

• Arkham platform overview — features, named-entity database, Intel Marketplace and the Arkham DEX: info.arkm.com — How To Use Arkham Intel (accessed October 2026)
• Arkham product site: arkm.com (accessed October 2026)
• DeepGyre pricing and methodology, checked at the same time: /pricing · /methodology (accessed October 2026)

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