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Automated Crypto-Fiat Banking Gateway Guard with OpenAI Agents SDK

Banking crypto clients requires rigorous transaction provenance tracking and automated Travel Rule compliance validation before fiat conversion. Build an autonomous gateway guard using the OpenAI Agents SDK to analyze blockchain wallet histories, compute risk scores, and enforce automated threshold controls. Maintain sub-second processing speed with 98% compliance accuracy on high-value transfers.

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What you are building

Develop an autonomous crypto-fiat settlement gateway guard using OpenAI Agents SDK to verify on-chain transaction provenance and Travel Rule compliance.

How work is evaluated

Evaluation

Evaluates accuracy of Travel Rule verification and crypto risk scoring decisions.

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

travel_rule_enforcement_test

Checks if transfers > $3,000 missing Travel Rule info are QUARANTINED

Binary check

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

Dimension 2

compliance_precision

Precision score of compliance clearance decisions • target: 0.98 • range: 0-1

Binary check

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

Learning goals

  • Initialize OpenAI Agents SDK agents with custom tool function definitions

  • Perform automated verification of counterparty VASP identity and Travel Rule metadata

  • Evaluate wallet cluster risk using mock blockchain explorer tools

  • Automate fiat minting/burning clearance based on risk thresholds

Resources

Dataset notes

Dataset of 300 crypto transfer records with varying compliance completeness, mixing missing VASP data with legitimate transfers.

Challenge setup

Evaluates accuracy of Travel Rule verification and crypto risk scoring decisions.

Challenge input

JSON with source_address, target_bank_acc, amount_usd, and origin_vasp

OpenAI Agents SDK

Official OpenAI Agent orchestration

Evaluated output

JSON with disposition (APPROVED, QUARANTINED, REJECTED), travel_rule_valid, and risk_score

Evaluation checks
  • Checks if transfers > $3,000 missing Travel Rule info are QUARANTINED
  • Precision score of compliance clearance decisions • target: 0.98 • range: 0-1
Configured evaluation evidence
  • Benchmark: CryptoGuard-Eval
  • Compliance Precision target: 0.98
  • 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
  • OpenAI · Required
  • Azure OpenAI Service · Optional
  • OpenAI o3 · Optional

Evaluation contract

  • travel_rule_enforcement_test · Weight 1
  • compliance_precision · Weight 1

Metrics

  • compliance_precision · Target 0.98

Benchmarks

  • CryptoGuard-Eval
  • security

Reference cases

  • 1 public reference case

Workflow tasks

  1. Task 1

    Input: JSON with source_address, target_bank_acc, amount_usd, and origin_vasp

    Output: JSON with disposition (APPROVED, QUARANTINED, REJECTED), travel_rule_valid, and risk_score

    Execution harness: Python

Evaluation tools

  • OpenAI Agents SDK · Agent Framework

Recipe freeze marker

No recipe freeze time is recorded.

Frequently Asked Questions about Automated Crypto-Fiat Banking Gateway Guard with OpenAI Agents SDK