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.
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.
How work is evaluated
Evaluates latency and policy decision correctness under high transaction volume.
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.
latency_sla_check
Checks if 95% of evaluated requests were processed in under 50ms.
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
compliance_accuracy
Accuracy of regulatory gateway classification. • target: 0.99 • 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
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
Reference links and supporting material
Synthetic dataset of 2,000 checkout payload requests across multiple currencies and merchant jurisdictions.
Challenge setup
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 if 95% of evaluated requests were processed in under 50ms.
- Accuracy of regulatory gateway classification. • target: 0.99 • range: 0-1
- Benchmark: GatewayLatency-Bench-v1
- Compliance Accuracy target: 0.99
- 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
- Google · Required
- Google ADK · Optional
- Google Jules · Optional
- Google Jules · Optional
Evaluation contract
- latency_sla_check · Weight 1
- compliance_accuracy · Weight 1
Metrics
- compliance_accuracy · Target 0.99
Benchmarks
- GatewayLatency-Bench-v1
- security
Reference cases
- 1 public reference case
Workflow tasks
- Task 1
Input: JSON payment request payload including merchant_id, customer_country, amount, token_symbol
Output: JSON gateway result with pass_compliance, recommended_action, and latency_ms
Execution harness: Python
Evaluation tools
- Google ADK · Agent Development Framework
- Cerebras Inference · Ultra-Fast Inference Engine
Recipe freeze marker
No recipe freeze time is recorded.