Arkham Intel Guide: How To Use intel.arkm.com For On-Chain Research

What Arkham Intel Is

Arkham Intel at intel.arkm.com is a blockchain intelligence platform built around mapping addresses to entities and surfacing fund flows, holdings, counterparties, and historical behavior in one place.

Arkham describes its address-matching system as Ultra, a proprietary AI system that synthesizes on-chain and off-chain data to build an amendable attribution layer.

The practical promise is not magic deanonymization. The value comes from fast investigation loops: who is behind an address, how funds moved, which counterparties repeat, and where assets concentrate.

How Arkham Works At A High Level

Arkham Intel is easiest to understand as five connected building blocks.

Labels And Entities

A label is a named attribution for a specific address. An entity is a grouping of multiple addresses that Arkham believes belong to the same person, company, fund, exchange, or on-chain system, explained in Arkham’s platform docs and features pages across the Arkham Codex.

This matters because most on-chain analysis is not about one address. It is about clusters and behavior. Entity pages help compress that reality into something readable.

Explorer Pages

Arkham’s explorer pages let you inspect the same concept from different angles.

An address page focuses on one wallet, like this example address explorer view.

An entity page focuses on a clustered group, like Arkham’s own view for an entity such as BlackRock.

A token page focuses on a token’s holders, flows, and related metrics, described in Arkham’s Token Pages documentation.

Investigation Tools

Arkham provides investigation tools for understanding flows, relationships, and historical activity.

The Profiler is a structured view of an entity or address across portfolio, performance, counterparties, and transactions, described in the Profiler documentation.

The Tracer is for following fund flows with filters and trace management, described in the Tracer documentation.

The Visualizer is for graph-based relationship and flow mapping, described in the Visualizer documentation and accessible directly at intel.arkm.com/visualizer.

Dashboards And Alerts

Dashboards provide a custom monitoring surface for entities, addresses, or themes, described in the Dashboard documentation and available at Dashboards Explore.

Alerts notify you when transactions match a rule set, with delivery options including email, Telegram, and webhooks, described in the Alerts documentation.

Private Labels And Personal Portfolio

Private labels let you build your own attribution and clustering on top of Arkham’s dataset, described in Private Labelsand reinforced by Arkham’s notes on how custom labels are marked as user-generated in Updates To Custom Labeling.

If you want Arkham as a personal tracking tool, the Personal Portfolio feature aggregates holdings and performance across wallets, described in Personal Portfolio.

Getting Started In 10 Minutes

Step 1: Choose A Starting Point That Matches The Question

Use a token page when the question is about distribution, top holders, or large holder rotations.

Use an entity page when the question is about an institution, exchange, market maker, whale, or government cluster.

Use an address page when you have a single wallet from a transaction hash, a screenshot, or a monitoring alert.

The fastest workflow is usually token page first, then drill into entities and addresses.

Step 2: Sanity-Check Attribution Before Believing It

Treat labels as a working hypothesis.

A useful validation habit is to cross-check whether the attributed entity exhibits consistent behavior over time, repeats the same counterparties, and shows internal clustering patterns that make sense for that entity type.

If a label looks surprising, follow the flow and verify whether the same cluster interacts with known deposit addresses, market maker wallets, or protocol contracts.

Step 3: Separate “Movement” From “Meaning”

On-chain movement can be custody operations, internal treasury shuffling, OTC settlement, collateral management, exchange deposit, or liquidation.

The goal is to identify the mechanism.

Look for exchange hot wallet destinations, repeated OTC counterparties, or transfer splitting patterns that suggest execution staging rather than a single directional sale.

Core Features Explained With Practical Use Cases

Token Pages

Token pages are designed for quick research and holder analysis. Arkham’s documentation shows the token page sections and what they are meant to surface in Token Pages.

What To Use Token Pages For

Finding top holders and holder concentration.

Spotting large net inflows or outflows across a time window.

Identifying whether supply is moving toward exchanges or dispersing into fresh wallets.

Building a shortlist of the most relevant entities to watch for that token.

How To Avoid Common Token Page Misreads

A top holder list is not automatically “insiders.” It can include exchange custody, bridges, or protocol contracts.

A large outflow can be an exchange internal shuffle rather than a user withdrawing.

A large inflow can be a market maker moving inventory to tighten spreads.

Always click through to the entity or address level before calling it bullish or bearish.

Profiler

The Profiler is designed to make an entity’s behavior legible. Arkham describes its core units, including Portfolio and Transactions, in the Profiler documentation.

Practical Profiler Plays

If a market maker shows sudden inventory buildup, it can precede tighter spreads or larger quoting size.

If a fund shows repeated bridge usage, it often signals deployment into a specific ecosystem rather than idle custody.

If a government entity shows consistent outflows, it can change auction or sale narratives.

The reliable way to use profiler output is to compare the current week to the prior month, then isolate what is actually new.

Tracer

The Tracer is built for following money. Arkham’s documentation highlights filters by token, USD value, time, and chain, plus trace management in the Tracer documentation.

A High-Signal Tracing Workflow

Start from the source address.

Filter by a meaningful minimum USD threshold to reduce noise.

Filter to the relevant token first, then widen to stablecoins if you suspect a sell loop.

Identify whether the flow ends at a known exchange cluster, a bridge, or a protocol.

Once you find the main destination, pivot into that destination entity and trace outward again.

This “trace, pivot, trace” loop is how you turn a single transaction into a complete story.

Visualizer

The Visualizer is the relationship map tool. Arkham explains how to add entities, expand nodes, and interpret internal versus inflow and outflow lines in the Visualizer documentation.

When Visualizer Beats Tracer

Visualizer is best when you suspect a network rather than a linear flow.

That includes laundering-style fan-outs, OTC hubs, multi-wallet execution setups, or layered treasury structures.

A useful technique is to begin with one known address, expand it, and then filter only the token you care about to isolate the real execution path.

Dashboards

Dashboards are the monitoring layer. Arkham positions dashboards as a customizable view of metrics for selected addresses and entities in the Dashboard documentation.

Dashboards That Stay Useful

Exchange reserve and netflow dashboards that focus on a handful of major exchanges.

Market maker watchlists for inventory shifts.

Issuer and treasury dashboards for large tokens, where treasury movement often becomes news.

ETF or institution-themed dashboards if the entities are labeled and you can avoid false positives.

The key is limiting scope. Fewer entities with higher confidence beats a noisy wall of widgets.

Alerts

Alerts are the fastest route to action. Arkham’s docs explain that alerts can send notifications via Telegram, email, or webhooks and are built with Arkham filters in the Alerts documentation.

Alerts That Traders Actually Use

Large stablecoin movements from named OTC desks.

Deposits into an exchange hot wallet above a threshold for a single token.

Movements from a protocol treasury wallet.

Bridge deposits that precede ecosystem rotation.

Alerts That Create Noise

Any-address alerts without filters.

Low-value thresholds.

Broad token filters that include stablecoins and memecoins at the same time.

Safe Alert Hygiene

Avoid reacting to a single alert. Validate the transaction in Arkham, then confirm whether the destination is an exchange hot wallet or a neutral custody reshuffle.

Private Labels And Custom Entities

Private labels are how power users build their own dataset on top of Arkham. Arkham explains that custom entities are private unless shared in Private Labels, and it marks user-generated labels in a different style so they are not confused with Arkham-produced attributions in Updates To Custom Labeling.

A Practical Way To Use Private Labels

Label known exchange deposit addresses you personally trust from repeated confirmations.

Cluster your own “known market maker execution wallets” as you validate them over time.

Create a private entity for addresses linked to a project treasury, then track them via dashboards and alerts.

This becomes a compounding advantage because each validated label reduces future investigation time.

Arkham API

Arkham provides an API for querying labels, transaction logs, and historical balance data, described in the Arkham Intel API docs and the product overview at intel.arkm.com/api.

The API documentation includes rate limit guidance, including baseline limits for the basic tier in the Rate Limits section.

What The API Is Good For

Building internal monitoring that triggers on entity-level activity.

Powering dashboards or bots that need labeled context.

Compliance, fraud detection, and investigative workflows that require structured exports.

Supported Chains And Coverage

Arkham’s API overview page includes a supported-chain coverage section that highlights comprehensive labeled-volume coverage across Ethereum and L2 ecosystems, Solana, and Bitcoin, shown in the Supported Chains section.

Pros And Cons

Pros

Fast attribution workflows using entity pages and labels.
Integrated toolchain for tracing, relationship mapping, dashboards, and alerts.
Custom labeling lets serious users create a private intelligence layer that compounds over time.
API access enables scalable monitoring for teams that need automation.

Cons

Attribution is probabilistic and can be wrong, especially on fresh clusters or ambiguous intermediaries.
Entity labels can create overconfidence if users skip validation.
Public intelligence can create social reflexivity, where the narrative moves faster than the actual flow meaning.
Power features can encourage “signal addiction” unless alerts are carefully filtered.

Common Pitfalls And How To Avoid Them

Confusing Exchange Wallet Shuffles With User Deposits

A deposit into an exchange hot wallet cluster can be meaningful. Internal movements between exchange-labeled addresses often are not.

The fix is verifying whether the destination is a known deposit intake address or an internal consolidation wallet.

Calling Every Whale Transfer A Sell

Large transfers are often inventory staging, custody changes, or collateral moves.

The fix is checking follow-on behavior. A real sell loop typically shows an eventual exchange deposit, swap routing, or stablecoin outflow.

Trusting Third-Party Claim Or Airdrop Links

On-chain narratives attract phishing.

The fix is starting research from first-party sources like intel.arkm.com, and never connecting wallets or signing messages just to “verify” a dashboard screenshot.

Ethics And Safety Notes

Arkham’s intel marketplace guidelines include restrictions on harmful or sensitive personal data and emphasize publicly available data only, documented in Guidelines for the Arkham Intel Exchange.

For practical use, it is better to focus on transaction attribution and market structure than on personal identification details.

Recommended Workflows By Goal

Traders And Market Observers

Use token pages to identify top holders and concentration.

Use profiler to understand entity inventory changes.

Use alerts for large, filtered movements tied to exchanges or market makers.

Use tracer to validate whether a move ends at an exchange, bridge, or protocol.

Journalists And Researchers

Start from a single claim, then verify flows end-to-end in tracer.

Use visualizer to show the structure of multi-wallet networks.

Capture timestamps and transaction hashes from Arkham’s explorer pages for consistent evidence.

Compliance And Risk Teams

Use entity pages to build counterparty risk profiles.

Use API exports for recurring monitoring.

Set high-threshold alerts and require internal confirmation before acting.

Conclusion

Arkham Intel is most valuable when it is used as a repeatable investigation system, not a headline generator. The platform’s edge comes from combining labeled entities with tracer and visualizer tools, then operationalizing that insight through dashboards, alerts, and private labels.

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