Construct an Anti-Scam Fraud Triage Crew with CrewAI & Resemble AI
Public sector anti-scam units face escalating phone and voice impersonation attacks. Construct a CrewAI multi-agent workflow integrated with Resemble AI voice verification to analyze reported scam interactions, categorize fraud tactics, and output structured triage reports with a false positive rate under 3%.
What you are building
The core problem, expected build, and operating context for this challenge.
Build a CrewAI multi-agent anti-scam triage workflow using Resemble AI synthetic voice analysis to identify deepfake voice scams.
How work is evaluated
Evaluates the accuracy of scam classification and false positive rate in detecting synthetic voice impersonation attacks.
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.
triage_priority_match
Checks if high-severity deepfake scams are assigned HIGH priority.
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
false_positive_rate
Rate of legitimate calls misclassified as scams. • target: 0.01 • range: 0-0.03
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
What you should walk away with
Build role-based multi-agent teams using CrewAI for incident triage
Integrate audio forensic signals from Resemble AI into agent tools
Classify scam operational tactics according to national scam taxonomies
Produce automated actionable alert summaries for law enforcement agencies
Reference links and supporting material
Synthetic multi-modal dataset containing 100 call transcripts paired with Resemble AI voice verification scores.
How this agent runs
Evaluates the accuracy of scam classification and false positive rate in detecting synthetic voice impersonation attacks.
Challenge input
JSON containing transcript and Resemble AI audio forensic scores
CrewAI
Facilitates multi-role collaborative agent workflows.
Resemble AI
Provides synthetic audio detection scores for voice scam triage.
Evaluated output
JSON triage report with scam taxonomy and priority score
- Checks if high-severity deepfake scams are assigned HIGH priority.
- Rate of legitimate calls misclassified as scams. • target: 0.01 • range: 0-0.03
- Benchmark: ScamDetectionBench
- False Positive Rate target: 1%
- 1 public reference case
- Python execution harness
- Python sandbox (unavailable on Versalist)
View technical recipe
Configured tools
- CrewAI · Required
- crewAI · Optional
- Resemble AI · Optional
Evaluation contract
- triage_priority_match · Weight 1
- false_positive_rate · Weight 1
Recipe state
This is a preview. The configuration can change before the evaluation recipe is locked.