AML analysis · Business & Personal

How AMLBot Calculates AML Risk Scores for Crypto Wallets and Transactions

Learn how AMLBot analyzes crypto wallets and transactions using blockchain clustering, connection tracing, and risk exposure scoring to calculate an AML risk score from 0 to 100%.

  • Risk level
  • Risk breakdown
  • Sanctions screening
  • Entities and events

How Crypto Wallet Analysis Works in AMLBot

  1. Clustering

    Addresses of one owner are grouped into a cluster.

  2. Entity attribution

    Known clusters get a type and a Risk Score.

  3. Connection tracing

    Funds are traced until they reach a known entity.

  4. Risk scoring

    Weighted exposure becomes one score from 0 to 100%.

Clusters and entities

Known owner: the address takes the entity’s Risk Score. Unknown owner: the score comes from its connections.

Cluster

Addresses that belong to one owner. Our engine groups them by transaction patterns that show common control.

Entity

A cluster with a known owner: an exchange, mixer, wallet or payment service. Analysts assign its type and Risk Score from open data, reports and investigations.

Crypto Wallet Risk Assessment: What AMLBot Checks

Basic information

  • Total received and sent
  • Owner or entity
  • Sanctions and blocklists

Direct connections

Counterparties in the same transaction. The most precise data: amounts, transaction count, dates.

Indirect connections

Traced through unnamed addresses until funds reach a known entity or the depth limit. Shows where the money came from and where it went.

How tracing follows the money

  1. Checked address0x3bEb…66D5
  2. directUnnamed address0x71C7…9A2f
  3. indirectUnnamed cluster0xA4b2…e31C
  4. indirectKnown entityMixerHigh risk

Crypto Transaction Screening Across Blockchain Models

UTXO model

Bitcoin and similar

Every input and output is checked.

Account-based model

Ethereum and similar
  1. Native ETH transfer
  2. ERC-20 tokens: USDT, USDC…
  3. Contract calls and DEX swaps

Every layer is checked.

AML risk score calculation

AML risk score calculation in AMLBot combines the share of funds linked to an entity type, its impact coefficient, and its base risk level.

  1. Share

    Portion of funds linked to this type

  2. Impact coefficient

    How much this type moves the score

  3. Base risk level

    Baseline risk of this type

One number from 0 to 100%

Low risk
0–25%
Medium risk
26–74%
High risk
75–100%

Consistent everywhere

The same score in the web app, API, Telegram bot and automated monitoring.

When the score is n/a

A new address, no history yet, or limited blockchain support. n/a doesn’t mean safe, just not enough data.

Time-based attribution

Risk at the moment of the transaction

Entities change status: an exchange may be sanctioned later. Past transactions keep the status the entity had at that time.

Exchange

  1. March · client transactionTrusted
  2. August · sanctionsSanctions

What do we analyze? 20+ sources of risk

AMLBot classifies blockchain entities into crypto AML risk categories, including high-risk sources such as sanctioned addresses, mixers, scams, and darknet markets.

  • Child Exploitation

    Entities associated with child exploitation.

  • Dark Market

    Coins associated with illegal activities.

  • Dark Service

    Coins related to child abuse, terrorist financing or drug trafficking.

  • Enforcement action

    The entity is subject to legal proceedings with the judicial authorities.

  • Fraudulent Exchange

    Exchanges involved in exit scams, illegal behavior, or whose funds have been confiscated by government authorities.

  • Gambling

    Coins associated with unlicensed online games

  • Illegal Service

    Coins associated with illegal activities.

  • Malware

    Addresses linked to malware, including cryptojackers, clippers, botnets, trojans and DDoS campaigns.

  • Mixer

    Coins that passed via a mixer to make tracking difficult or impossible. Mixers are mainly used for money laundering.

  • Ransom

    Coins obtained by extortion or blackmail.

  • Sanctions

    Entities subject to sanctions.

  • Scam

    Coins that were obtained by deception.

  • Stolen Coins

    Coins obtained by stealing someone else's cryptocurrency.

  • Terrorism Financing

    Entities associated with terrorism financing.

Be careful

Any Danger category, Sanctions included, can lead to blocked funds, depending on the service’s policies. Check before you transact.

Business and Personal: same logic, different depth

Personal

Quick wallet check

  • Simplified analysis
  • Limited data sources
  • Shallower connection tracing

Business

Full AML analysis

  • All data sources
  • Direct and indirect connections
  • Multi-layer transactions: tokens, contracts, DEX
  • Time-based attribution
  • Web app, API and monitoring

Free Business trial

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Your Business trial

Example setup
  • KYT: Screening, Transaction & Address Monitoring
  • KYC / KYB
  • AI Tracer
  • Travel Rule

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