News
Ratings
Learn
Companies
Open Companies →
Who runs each service, how it works, where the risks are.All 30 companies A–Z →
About
New to crypto? Start here
NFT & AI Tools · OBOL rating

Arkham review

Entity attribution applied to collections, with a free tier that outperforms several paid rivals.

7.7/10
Solid
#8 of 15 nft & ai toolsChecked August 2026
The short answer

Arkham makes entity-level NFT tracing accessible without an institutional contract: labelled addresses, fast flow visualisation and a genuinely capable free tier. Attributions are probabilistic with no correction process, and the intel-exchange model turns deanonymisation into a marketplace.

Best forTracing NFT holdings to named entities

Score breakdown

Category rubric →
  1. Data accuracyweight 25%
    7.5avg 7.8
  2. Analytical usefulnessweight 20%
    8.0avg 7.4
  3. Value for moneyweight 20%
    8.5avg 8.1
  4. Coverageweight 20%
    8.0avg 7.8
  5. Method transparencyweight 15%
    6.0avg 7.1

this service category average across 15Score = Σ mark × weight. Works well for a specific use case, weaker outside it. Methodology.

The evidence behind each mark

Scoring rules →
CriterionMarkWhat we foundSourceChecked
Data accuracy7.5not sourced yetnot sourced yet—
Analytical usefulness8.0not sourced yetnot sourced yet—
Value for money8.5not sourced yetnot sourced yet—
Coverage8.0not sourced yetnot sourced yet—
Method transparency6.0not sourced yetnot sourced yet—

What we liked, and what fell short

Liked
  • Links NFT holdings to labelled entities and their wider activity
  • Generous free tier
  • Fast, well-designed tracing interface
Fell short
  • Attributions are probabilistic with no clear correction path
  • Bounty model incentivises deanonymising individuals

Why the marks landed where they did

Working out who actually holds a collection — and what else those wallets do — used to require enterprise tooling. Arkham made it a free web app, and for NFT research it is fast and effective.

What it does for NFT analysis

Groups addresses into entities, shows a wallet's full portfolio across tokens and NFTs, traces where an asset came from and where funds went afterwards. For evaluating whether a collection's holders are independent or one operator, it complements Bubblemaps' visual approach with entity attribution.

The attribution caveat

Labels are probabilistic, occasionally wrong, and there is no meaningful process for a subject to contest one. Acting on an attribution — publicly or financially — without independent verification is a mistake the interface's confidence encourages.

The business model

Arkham runs an intel exchange where users post bounties for identifying specific wallets and are paid for supplying that information. It is legal, it is disclosed, and it means using the product participates in a marketplace for individual deanonymisation. Users should decide about that consciously.

Who should use it

Researchers, journalists and traders tracing NFT flows, using the free tier, with attributions verified before being relied on.

FAQ

Is Arkham free for NFT research?
Its free tier covers entity tracing and portfolio views and outperforms several paid tools, with advanced features behind payment.
How reliable are Arkham's attributions?
Probabilistic and occasionally wrong, with no clear correction process. Verify before acting on any specific label.
What is the intel exchange?
A marketplace where users post bounties for identifying wallet owners and are paid for supplying the information — effectively a market in deanonymisation.
Arkham or Nansen for NFTs?
Arkham for free tracing and portfolio-level entity views; Nansen for curated flow analytics and alerting, at a professional price.