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Automate Regulatory Compliance Auditing for Digital Assets with Claude Agents SDK

Evolving SEC crypto regulations mandate automated asset classification and risk disclosure checks. Deploy a Claude Agents SDK workflow with extended thinking to benchmark token whitepapers against SEC rules using Llama 3.3 70B, maintaining zero missed violations.

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What you are building

Utilize Claude Agents SDK with extended thinking alongside Llama 3.3 70B inference to conduct deep legal compliance audits on crypto token whitepapers.

How work is evaluated

Evaluation

Evaluates regulatory breach detection coverage against token prospectus documents.

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

Guaranteed Yield Flag Test

Ensures promised returns are flagged as investment contracts.

Binary check

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

Dimension 2

Violation Recall Rate

Percentage of actual regulatory violations identified. • target: 1 • range: 0.98-1

Binary check

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

Learning goals

  • Implement Claude Agents SDK agent workflows featuring extended thinking reasoning blocks.

  • Query Llama 3.3 70B as a secondary verifier for token classification under Howey Test parameters.

  • Extract disclosure omissions and unregistered securities risks from raw regulatory filings.

  • Generate structured compliance matrices compliant with SEC Regulation Crypto Assets standards.

Resources

Dataset notes

Annotated whitepaper corpus containing regulatory violation labels based on SEC proposed rules.

Challenge setup

Evaluates regulatory breach detection coverage against token prospectus documents.

Challenge input

Markdown document containing token whitepaper and distribution terms

Claude Agents SDK

Provides extended thinking for deep statutory legal analysis.

Llama 3.3 70B

Serves as an independent high-capacity model for legal verification.

Evaluated output

JSON list of flagged regulatory violations with severity score

Evaluation checks
  • Ensures promised returns are flagged as investment contracts.
  • Percentage of actual regulatory violations identified. • target: 1 • range: 0.98-1
Configured evaluation evidence
  • Benchmark: LegalCryptoBench
  • Violation Recall Rate target: 100%
  • 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
  • Llama Index · Required
  • LlamaIndex · Optional
  • Claude Code · Optional
Observation
  • Claude Code · Optional

Evaluation contract

  • Guaranteed Yield Flag Test · Weight 1
  • Violation Recall Rate · Weight 1

Metrics

  • Violation Recall Rate · Target 1

Benchmarks

  • LegalCryptoBench
  • security

Reference cases

  • 1 public reference case

Workflow tasks

  1. Task 1

    Input: Markdown document containing token whitepaper and distribution terms

    Output: JSON list of flagged regulatory violations with severity score

    Execution harness: Python

Evaluation tools

  • Claude Agents SDK · Agent Framework
  • Llama 3.3 70B · Models

Recipe freeze marker

No recipe freeze time is recorded.

Frequently Asked Questions about Automate Regulatory Compliance Auditing for Digital Assets with Claude Agents SDK