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Challenge

Build a Fiat-Crypto Banking Access Evaluator using OpenAI Agents SDK and Claude 4.1 Opus

Crypto businesses face persistent hurdles maintaining correspondent banking relationships due to complex risk profiling demands. Build a risk evaluation agent using OpenAI Agents SDK with Claude 4.1 Opus to analyze crypto exchange financial balance sheets and compliance procedures. Calculate risk scores matching expert underwriter standards with 95% alignment.

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Challenge brief

What you are building

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

Deploy an automated banking risk evaluator using OpenAI Agents SDK and Claude 4.1 Opus to score crypto asset service providers for bank account eligibility.

Delivery guide

How work is evaluated

Evaluation

Evaluate the risk scoring consistency and decision accuracy for prospective crypto corporate accounts.

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

Reject Insolvent Firms

Ensure firms with liabilities exceeding reserves are flagged REJECT.

Binary check

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

Dimension 2

Underwriter Score Correlation

Pearson correlation coefficient between agent tier_score and expert human risk ratings. • target: 0.95 • range: -1-1

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

  • Utilize OpenAI Agents SDK to manage multi-turn risk underwriting interviews

  • Integrate Claude 4.1 Opus for in-depth analysis of financial statements and audit disclosures

  • Produce compliant risk rating reports for bank onboarding committees

  • Identify high-risk liquidity dependencies and unbacked asset liabilities

Resources and assets

Reference links and supporting material

Dataset notes

Synthetic dataset of 500 financial profiles for digital asset brokers and crypto platforms seeking fiat bank account services.

How this agent runs

Evaluate the risk scoring consistency and decision accuracy for prospective crypto corporate accounts.

Challenge input

JSON containing firm_name, asset_reserves_usd, liabilities_usd, aml_audit_score, and operating_jurisdictions.

OpenAI Agents SDK

Provides function execution loops and state management for multi-step reasoning.

Claude 4.1 Opus

High performance on complex document understanding and formal risk modeling.

Evaluated output

JSON containing risk_category ('LOW', 'MEDIUM', 'HIGH', 'REJECT'), tier_score (0-100), and rationale.

Checks for
  • Ensure firms with liabilities exceeding reserves are flagged REJECT.
  • Pearson correlation coefficient between agent tier_score and expert human risk ratings. • target: 0.95 • ra...
Proof of success
  • Benchmark: BankRiskEval
  • Underwriter Score Correlation target: 0.95
  • 1 public reference case
Runtime evidence
  • Python execution harness
  • Python sandbox (unavailable on Versalist)
View technical recipe

Configured tools

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

Evaluation contract

  • Reject Insolvent Firms · Weight 1
  • Underwriter Score Correlation · Weight 1

Recipe state

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

Frequently Asked Questions about Build a Fiat-Crypto Banking Access Evaluator using OpenAI Agents SDK and Claude 4.1 Opus