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.
What you are building
The core problem, expected build, and operating context for this challenge.
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
Evaluates regulatory breach detection coverage against token prospectus documents.
Challenge datasets
Public datasets, plus the private datasets you have access to.
How submissions are scored
These dimensions define what the evaluator checks and which criteria separate a passable run from a strong one.
Guaranteed Yield Flag Test
Ensures promised returns are flagged as investment contracts.
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
Violation Recall Rate
Percentage of actual regulatory violations identified. • target: 1 • range: 0.98-1
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
What you should walk away with
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.
Reference links and supporting material
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
- Ensures promised returns are flagged as investment contracts.
- Percentage of actual regulatory violations identified. • target: 1 • range: 0.98-1
- Benchmark: LegalCryptoBench
- Violation Recall Rate target: 100%
- 1 public reference case
- Python execution harness
- Python sandbox (unavailable on Versalist)
Summary shows the first task, up to three tools, and up to three evidence items. Open the technical recipe to view all configured items.
View technical recipe
Configured tools
- Llama Index · Required
- LlamaIndex · Optional
- Claude Code · Optional
- 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
- 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.