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Challenge

Crypto Banking Off-Ramp AML Verification with Claude Agents SDK

Crypto-to-fiat banking off-ramps require rigorous multi-jurisdictional AML source-of-funds verification to satisfy banking partner compliance mandates. Build an off-ramp AML verification pipeline using Claude Agents SDK to trace wallet lineage, analyze fiat destination account legitimacy, and flag suspicious transactions with 96% accuracy.

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Challenge brief

What you are building

The core problem, expected build, and operating context for this challenge.

Build an intelligent crypto off-ramp verification pipeline utilizing Anthropic Claude Agents SDK and tool use features.

Delivery guide

How work is evaluated

Evaluation

Evaluates accuracy of wallet risk scoring and validity of generated SAR evidence packets.

Datasets

Shared data for this challenge

Review public datasets and any private uploads tied to your build.

Evaluation rubric

How submissions are scored

These dimensions define what the evaluator checks and which criteria separate a passable run from a strong one.

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

evidence_presence_check

Ensures frozen transactions contain non-empty evidence arrays.

Binary check

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

Dimension 2

aml_detection_accuracy

Accuracy in correctly flagging suspicious vs legitimate off-ramps. • target: 0.96 • range: 0-1

Binary check

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

Learning goals

What you should walk away with

  • Construct autonomous verification workflows using Anthropic Claude Agents SDK

  • Implement multi-hop blockchain wallet taint analysis tools for off-ramp requests

  • Validate fiat destination bank details against global IBAN and SWIFT registers

  • Generate human-readable investigator audit trails detailing risk scoring rationale

Resources and assets

Reference links and supporting material

Dataset notes

Synthetic dataset of 400 crypto-to-fiat transfer requests with simulated wallet transaction graphs and bank account verifications.

How this agent runs

Evaluates accuracy of wallet risk scoring and validity of generated SAR evidence packets.

Challenge input

JSON transaction request with origin wallet address, asset, fiat payout bank, and amount

Claude Agents SDK

Anthropic's SDK supporting tool use and deep reasoning capability.

Evaluated output

JSON verification object with risk_tier, decision, and detailed_evidence array

Checks for
  • Ensures frozen transactions contain non-empty evidence arrays.
  • Accuracy in correctly flagging suspicious vs legitimate off-ramps. • target: 0.96 • range: 0-1
Proof of success
  • Benchmark: CryptoAML-Bench-v1
  • Aml Detection Accuracy target: 0.96
  • 1 public reference case
Runtime evidence
  • Python execution harness
  • Python sandbox (unavailable on Versalist)
View technical recipe

Configured tools

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

Evaluation contract

  • evidence_presence_check · Weight 1
  • aml_detection_accuracy · Weight 1

Recipe state

This is a preview. The configuration can change before the evaluation recipe is locked.

Frequently Asked Questions about Crypto Banking Off-Ramp AML Verification with Claude Agents SDK