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Draft evaluation
Multi-Agent Anti-Money Laundering Detection with CrewAI and Kore.ai — evaluation
Evaluates CrewAI agent group performance on detecting simulated cross-bank transaction anomaly clusters and producing valid MAS risk reports.
Evaluation type
task based
Challenge
Multi-Agent Anti-Money Laundering Detection with CrewAI and Kore.ai
Difficulty
Advanced
Rigor
Not declared
The author has not specified a rigor level.
Evaluation overview
How the linked challenge is judged: tasks, benchmarks, and criteria count.
Tasks
1
Benchmarks
0
Criteria
0
Task templates
Inputs and expected outputs.
Task 1
cosmic_risk_triage
Evaluates the precision and recall of the multi-agent system on suspicious transaction profile datasets.
Input format
JSON containing shared COSMIC transaction graph and entity risk logs
Output format
JSON containing risk classification, confidence score, and regulatory escalation report