Deploy Instant Payment Fraud Detection Engine with Mastra AI Workflows
Instant payment rails like FedNow and Pix require sub-second fraud detection decisions before settlement finality. Build an instant payment fraud detection agent using Mastra AI framework workflows with built-in memory state and graph risk features to achieve sub-200ms evaluation latency.
What you are building
Utilize Mastra AI TypeScript workflow engine and memory persistence layer to evaluate instant payment fraud risk in real time.
How work is evaluated
Measures workflow latency and fraud decision accuracy on instant payment transactions.
Datasets
Public datasets, plus the private datasets you have access to.
How submissions are scored
sla_timeout_test
Workflow duration must not exceed 200ms threshold.
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
precision
Fraud identification precision score. • target: 0.94 • range: 0.85-1
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
Learning goals
Design Mastra AI TypeScript workflow trees for real-time risk scoring
Leverage Mastra AI integrated memory and dynamic context retrieval
Evaluate account velocity and behavioral anomaly metrics on instant payments
Maintain strict sub-200ms processing SLA on instant payment rails
Resources
Instant payment transaction dataset with labeled velocity spikes and mule account transfers.
Challenge setup
Measures workflow latency and fraud decision accuracy on instant payment transactions.
Challenge input
JSON payment payload detailing sender, recipient, amount, and timestamp
Mastra AI
Provides structured workflows and built-in memory primitives in TypeScript.
Evaluated output
JSON risk score and approval verdict with total step duration
- Workflow duration must not exceed 200ms threshold.
- Fraud identification precision score. • target: 0.94 • range: 0.85-1
- Benchmark: Instant Payment Risk Benchmark
- Precision target: 0.94
- 1 public reference case
- JavaScript execution harness
- javascript sandbox (unavailable on Versalist)
Shows the first task, up to three tools, and up to three evidence items.
View technical recipe
Configured tools
- Mastra AI · Required
- Mastra AI · Required
Evaluation contract
- sla_timeout_test · Weight 1
- precision · Weight 1
Metrics
- precision · Target 0.94
Benchmarks
- Instant Payment Risk Benchmark
- security
Reference cases
- 1 public reference case
Workflow tasks
- Task 1
Input: JSON payment payload detailing sender, recipient, amount, and timestamp
Output: JSON risk score and approval verdict with total step duration
Execution harness: JavaScript
Evaluation tools
- Mastra AI · TypeScript Agent Engine
Recipe freeze marker
No recipe freeze time is recorded.