Arkham on data accuracy
8.2/ 35% of the score
Entity attributions are proprietary and confidence levels are not consistently surfaced next to them.
Journalism for the digital-asset economy
Best Crypto Trading Tools · Rank 05 of 8
Entity-level attribution across chains
Last verified August 14, 20264 scored axes
Documented, with gaps
Arkham scores 8.1 out of 10 and ranks #5 of 8 in the best crypto trading tools table, strongest on pricing honesty (8.6) and weakest on lock-in (7.2).
Maps addresses to entities across many chains with a generous free tier, which makes it the accessible alternative to the premium intelligence platforms. Attribution confidence is not always surfaced clearly enough for the conclusions people draw from it.
4 axes, weighted as published in the table’s methodology. Each score below is read from the fact printed under it.
8.2/ 35% of the score
Entity attributions are proprietary and confidence levels are not consistently surfaced next to them.
8.4/ 25% of the score
Cross-chain coverage across major networks with entity-level rollups.
8.6/ 20% of the score
A substantial free tier includes entity dashboards and alerts; paid tiers and their limits are published.
7.2/ 20% of the score
Exports are available; attributions remain bound to the platform.
Arkham maps addresses to entities across major chains and gives away far more of it than its competitors, including entity dashboards and alerting. For anyone who wants to follow a company's or a fund's on-chain footprint without a desk budget, this is the accessible option.
Attributions are proprietary and their confidence is not consistently surfaced next to them, which matters because users routinely quote these labels as fact. An address the platform believes belongs to an exchange and an address it has confirmed look much the same in the interface, and the difference is the whole story when the conclusion is published.
The bounty model around de-anonymising addresses is contested, and reasonable people in this industry disagree about it. It does not affect data quality; it does affect whether some users are willing to fund the product.
Following an entity's footprint across chains in one view — treasury movements, exchange deposits, the shape of a fund's position — without stitching together block explorers by hand.
As a lead, not a citation. Verify against on-chain evidence before publishing anything that depends on the attribution being right, because the platform does not consistently show you how confident it is.
Substantially. Entity dashboards and alerting are available on the free tier, with paid tiers and their limits published — a more generous split than competing intelligence platforms.
They are proprietary and cannot be independently verified, and the interface does not consistently distinguish confirmed attributions from inferred ones. Treat a label as a lead rather than a fact.
Arkham for broad entity mapping on a budget; Nansen for deeper labelled-cohort analysis if a desk is paying. Both share the same verification limitation.
8 services in best crypto trading tools