Stablecoin Settlement Guardrails with OpenAI Agents SDK and GPT-5 Pro
Emerging stablecoin payment rails require real-time compliance validation and automated fraud screening before final on-chain settlement. You will build an autonomous settlement verification agent that evaluates cross-border transaction risks and enforces strict sanctions policy rules, targeting sub-second decision latencies and zero compliance leaks.
What you are building
The core problem, expected build, and operating context for this challenge.
Build an automated stablecoin settlement guardrail system using OpenAI Agents SDK and GPT-5 Pro to audit transactions against dynamic sanctions lists.
How work is evaluated
Evaluates stablecoin settlement approval logic and compliance adherence under synthetic high-volume transaction stress.
Shared data for this challenge
Review public datasets and any private uploads tied to your build.
How submissions are scored
These dimensions define what the evaluator checks and which criteria separate a passable run from a strong one.
zero_false_negatives
Ensures no sanctioned transaction is approved
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
accuracy
Overall accuracy of settlement risk classification • target: 0.99 • range: 0.95-1
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 real-time transaction screening using OpenAI Agents SDK
Configure GPT-5 Pro tool functions to query sanctions and entity resolution databases
Deploy sub-second latency transaction policy verification workflows
Validate zero-leak compliance audit trails for stablecoin transfers
Reference links and supporting material
Synthetic stablecoin settlement stream containing 10,000 transaction records with embedded sanctions list matches and anomaly flags.
How this agent runs
Evaluates stablecoin settlement approval logic and compliance adherence under synthetic high-volume transaction stress.
Challenge input
JSON containing sender, receiver, amount, and asset details
OpenAI Agents SDK
Core orchestration framework for agent tool calls and structured reasoning.
GPT-5 Pro
High-reasoning capability model for evaluating complex risk profiles.
Evaluated output
JSON with decision ('APPROVE'|'REJECT'), reason, and confidence score
- Ensures no sanctioned transaction is approved
- Overall accuracy of settlement risk classification • target: 0.99 • range: 0.95-1
- Benchmark: FinCrime-Eval-v1
- Accuracy target: 0.99
- 1 public reference case
- Python execution harness
- Python sandbox
View technical recipe
Configured tools
- OpenAI · Required
- GPT-5 Pro · Optional
- GPT-5 · Optional
Evaluation contract
- zero_false_negatives · Weight 1
- accuracy · Weight 1
Recipe state
This is a preview. The configuration can change before the evaluation recipe is locked.