Automated Corporate Bank Account Onboarding with Claude Agents SDK
Corporate bank account opening in Singapore involves tedious manual verification of company registration documents, beneficial ownership structures, and business operations. Implement an autonomous document processing pipeline using Claude Agents SDK to parse legal filings, evaluate sanctions risk, and generate structured account approval summaries.
What you are building
The core problem, expected build, and operating context for this challenge.
Build an autonomous KYC onboarding pipeline using Claude Agents SDK with extended thinking to verify ACRA corporate profiles and complex beneficial ownership charts.
How work is evaluated
Evaluates Claude Agents SDK performance in calculating ultimate beneficial ownership and approving low-risk corporate bank applications.
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.
ubo_calculation_pass
Checks if effective UBO percentage matches expected value
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
compliance_accuracy
Precision of regulatory decision-making • target: 0.96 • range: 0-1
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
What you should walk away with
Utilize Claude Agents SDK with extended thinking mode for complex legal document analysis
Implement multi-turn document tool interaction to query ACRA corporate registries
Calculate ultimate beneficial ownership (UBO) percentages across nested holding companies
Generate MAS-compliant risk summaries for corporate banking account approvals
Reference links and supporting material
ACRA company registration records and synthetic corporate ownership trees for Singapore entities.
Challenge setup
Evaluates Claude Agents SDK performance in calculating ultimate beneficial ownership and approving low-risk corporate bank applications.
Challenge input
JSON with ACRA BizFile company profile and ownership graph structure
Claude Agents SDK
Anthropic's SDK for autonomous agent creation with extended thinking and computer/tool use
Evaluated output
JSON containing calculated_ubo, sanctions_passed, recommendation, and reasoning
- Checks if effective UBO percentage matches expected value
- Precision of regulatory decision-making • target: 0.96 • range: 0-1
- Benchmark: Corporate KYC Autonomous Benchmark
- Compliance Accuracy target: 0.96
- 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
- E2B · Required
- E2B · Required
- Adept · Optional
- Anthropic · Optional
Evaluation contract
- ubo_calculation_pass · Weight 1
- compliance_accuracy · Weight 1
Metrics
- compliance_accuracy · Target 0.96
Benchmarks
- Corporate KYC Autonomous Benchmark
- security
Reference cases
- 1 public reference case
Workflow tasks
- Task 1
Input: JSON with ACRA BizFile company profile and ownership graph structure
Output: JSON containing calculated_ubo, sanctions_passed, recommendation, and reasoning
Execution harness: Python
Evaluation tools
- Claude Agents SDK · Agent Framework
Recipe freeze marker
No recipe freeze time is recorded.