Challenge

Stablecoin Payment Gateway Guard with Google ADK & Cerebras

Modern fintech architectures are embedding stablecoin rails into mainstream payment infrastructure requiring high-throughput policy enforcement. Build a payment policy gateway using Google ADK and Cerebras Inference to intercept stablecoin transfer payloads, validate merchant regulatory guardrails, and achieve sub-50ms policy evaluation latency with 99% compliance accuracy.

CybersecurityHosted by Vera
Challenge brief

What you are building

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

Build an ultra-fast stablecoin compliance and routing gateway using Google Agent Development Kit deployed on Cerebras ultra-low latency inference engine.

Delivery guide

How work is evaluated

Evaluation

Evaluates latency and policy decision correctness under high transaction volume.

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

latency_sla_check

Checks if 95% of evaluated requests were processed in under 50ms.

Binary check

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

Dimension 2

compliance_accuracy

Accuracy of regulatory gateway classification. • target: 0.99 • 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

What you should walk away with

  • Construct a Google ADK agent for inspecting stablecoin payment payloads

  • Integrate Cerebras Inference endpoint for sub-50ms model processing speeds

  • Enforce jurisdictional merchant velocity limits and licensing policy checks

  • Deploy lightweight audit streaming to record regulatory decisions in real time

Resources and assets

Reference links and supporting material

Dataset notes

Synthetic dataset of 2,000 checkout payload requests across multiple currencies and merchant jurisdictions.

How this agent runs

Evaluates latency and policy decision correctness under high transaction volume.

Challenge input

JSON payment request payload including merchant_id, customer_country, amount, token_symbol

Google ADK

Google's framework for agent building with tool bindings.

Cerebras Inference

Engine for achieving sub-50ms inference latency.

Evaluated output

JSON gateway result with pass_compliance, recommended_action, and latency_ms

Checks for
  • Checks if 95% of evaluated requests were processed in under 50ms.
  • Accuracy of regulatory gateway classification. • target: 0.99 • range: 0-1
Proof of success
  • Benchmark: GatewayLatency-Bench-v1
  • Compliance Accuracy target: 0.99
  • 1 public reference case
Runtime evidence
  • Python execution harness
  • Python sandbox (unavailable on Versalist)
View technical recipe

Configured tools

Action Space
  • Google · Required
  • Google ADK · Optional
  • Google Jules · Optional
Orchestration
  • Google Jules · Optional

Evaluation contract

  • latency_sla_check · Weight 1
  • compliance_accuracy · Weight 1

Recipe state

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

Frequently Asked Questions about Stablecoin Payment Gateway Guard with Google ADK & Cerebras