Build a Claude Agents SDK Crypto Sanctions Investigator with Patronus AI
Cryptocurrency exchanges require precise multi-jurisdictional sanctions mapping to detect policy evasion. Build an autonomous investigation agent using Claude Agents SDK and evaluate policy alignment with Patronus AI to analyze entity transaction graphs with zero hallucinated compliance claims.
What you are building
The core problem, expected build, and operating context for this challenge.
Orchestrate Claude Agents SDK extended reasoning capabilities paired with Patronus AI evaluation frameworks to investigate complex crypto entity graphs.
How work is evaluated
Measures graph node traversal accuracy and Patronus AI hallucination evaluation score for compliance narratives.
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.
zero_hallucination_pass
Patronus AI evaluation score must indicate 0 hallucinated facts.
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
patronus_eval_score
Patronus model evaluation metric score. • target: 0.98 • range: 0.9-1
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
What you should walk away with
Build complex investigation workflows using Claude Agents SDK
Integrate Patronus AI for real-time hallucination and policy evaluation
Trace high-velocity multi-hop crypto wallet transactions across blockchain networks
Generate immutable compliance audit trails adhering to regulatory standards
Reference links and supporting material
Synthetic multi-hop cryptocurrency transaction graph dataset containing sanctioned clusters and mixing service interactions.
Challenge setup
Measures graph node traversal accuracy and Patronus AI hallucination evaluation score for compliance narratives.
Challenge input
JSON graph structure representing wallet address transfers
Claude Agents SDK
Provides extended context handling and logical deduction.
Patronus AI
Ensures factual precision and absence of agent hallucinations.
Evaluated output
JSON SAR summary detailing linked high-risk clusters
- Patronus AI evaluation score must indicate 0 hallucinated facts.
- Patronus model evaluation metric score. • target: 0.98 • range: 0.9-1
- Benchmark: Crypto Crime Graph Benchmark
- Patronus Eval Score target: 0.98
- 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.
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Configured tools
- Claude Code · Optional
- Claude Code · Optional
- Patronus AI · Required
- Claude 4.1 Opus · Optional
- Patronus AI · Required
Evaluation contract
- zero_hallucination_pass · Weight 1
- patronus_eval_score · Weight 1
Metrics
- patronus_eval_score · Target 0.98
Benchmarks
- Crypto Crime Graph Benchmark
- security
Reference cases
- 1 public reference case
Workflow tasks
- Task 1
Input: JSON graph structure representing wallet address transfers
Output: JSON SAR summary detailing linked high-risk clusters
Execution harness: Python
Evaluation tools
- Claude Agents SDK · Reasoning Agent Framework
- Patronus AI · Evaluation Suite
Recipe freeze marker
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