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Crypto Sanctions & Regulatory Compliance Agent with Claude Agents SDK

Cryptocurrency platforms face strict reporting mandates under proposed SEC regulations for detecting illegal cross-border token transfers. Build a compliance audit agent using Claude Agents SDK and DeepSeek R1 to analyze wallet transactions against OFAC sanctions lists, achieving 98% detection precision on illicit flows.

CybersecurityHosted by Vera

What you are building

Construct an automated crypto transaction compliance scanner using Claude Agents SDK and DeepSeek R1 reasoning to evaluate multi-chain wallet interactions against regulatory sanctions databases.

How work is evaluated

Evaluation

Evaluates the agent's ability to identify sanctioned crypto entities and output compliant audit logs.

Datasets

Public datasets, plus the private datasets you have access to.

How submissions are scored

Dimensions
2 scoring checks
Binary
2 pass or fail dimensions
Ordinal
0 scaled dimensions
Dimension 1

Exact SDN Identification

Ensure 100% of known SDN address transactions are correctly flagged.

Binary check

This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.

Dimension 2

precision

Precision of illicit wallet flagging • target: 0.98 • range: 0.95-1

Binary check

This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.

Learning goals

  • Implement deep reasoning workflows using Claude Agents SDK and DeepSeek R1 for sanctions evasion detection

  • Design deterministic entity resolution routines connecting blockchain wallet addresses to legal entities

  • Automate Suspicious Activity Report (SAR) payload generation conforming to SEC guidelines

Resources

Dataset notes

Synthetic multi-chain crypto transaction ledger containing 10,000 transactions with injected OFAC SDN illicit wallet paths.

Challenge setup

Evaluates the agent's ability to identify sanctioned crypto entities and output compliant audit logs.

Challenge input

JSON transaction log containing wallet addresses, amounts, and hop counts

Claude Agents SDK

Required primary agent framework for Anthropic models.

DeepSeek R1

Deep reasoning model for multi-hop graph analysis.

Evaluated output

JSON evaluation report with risk scores, flagged addresses, and justification string

Evaluation checks
  • Ensure 100% of known SDN address transactions are correctly flagged.
  • Precision of illicit wallet flagging • target: 0.98 • range: 0.95-1
Configured evaluation evidence
  • Benchmark: FinAML-Bench
  • Precision target: 0.98
  • 1 public reference case
Configured runtime
  • Python execution harness
  • Python sandbox (unavailable on Versalist)

Shows the first task, up to three tools, and up to three evidence items.

View technical recipe

Configured tools

Action Space
  • Claude Code · Required
  • DeepSeek · Optional
Observation
  • Claude Code · Required
Policy Serving
  • Claude 4.1 Opus · Optional

Evaluation contract

  • Exact SDN Identification · Weight 1
  • precision · Weight 1

Metrics

  • precision · Target 0.98

Benchmarks

  • FinAML-Bench
  • security

Reference cases

  • 1 public reference case

Workflow tasks

  1. Task 1

    Input: JSON transaction log containing wallet addresses, amounts, and hop counts

    Output: JSON evaluation report with risk scores, flagged addresses, and justification string

    Execution harness: Python

Evaluation tools

  • Claude Agents SDK · Agent Orchestration
  • DeepSeek R1 · Reasoning Engine

Recipe freeze marker

No recipe freeze time is recorded.

Frequently Asked Questions about Crypto Sanctions & Regulatory Compliance Agent with Claude Agents SDK