Anti-Scam Root Cause Triage Agent with Google ADK and Gemini
Scam operations target citizens using evolving phishing mechanisms, demanding rapid intelligence extraction and coordinated public safety response across agencies. Build a Google ADK agent utilizing Gemini multimodal reasoning to ingest scam SMS reports, correlate suspect URL clusters, and generate actionable anti-scam intelligence bulletins.
What you are building
The core problem, expected build, and operating context for this challenge.
Develop an automated anti-scam triage pipeline using Google Agent Development Kit (ADK) and Gemini multimodal models to process public scam reports.
How work is evaluated
Evaluates Google ADK agent accuracy in identifying scam domains and outputting standardized incident response directives.
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.
takedown_trigger_test
Ensures domain takedown recommendation is issued for active Singpass phishing sites
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
extraction_precision
Accuracy of extracted phishing URLs • target: 1 • 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
Build modular AI agents using Google Agent Development Kit (ADK) and Vertex AI
Analyze multimodal scam evidence (screenshots, SMS text, phishing domain records)
Cluster scam infrastructure patterns using similarity search and graph linking
Automate public warning bulletin generation and ISP domain takedown requests
Reference links and supporting material
Anonymized phishing SMS feeds and domain registry logs from Singapore scam reporting channels.
How this agent runs
Evaluates Google ADK agent accuracy in identifying scam domains and outputting standardized incident response directives.
Challenge input
JSON containing SMS text body and base64 encoded screenshot metadata
Google ADK
Google Agent Development Kit providing enterprise integration with Vertex AI and Gemini
Evaluated output
JSON containing extracted_urls, impersonated_entity, threat_level, and takedown_recommended
- Ensures domain takedown recommendation is issued for active Singpass phishing sites
- Accuracy of extracted phishing URLs • target: 1 • range: 0-1
- Benchmark: Cyber Threat Triage Benchmark
- Extraction Precision target: 1
- 1 public reference case
- Python execution harness
- Python sandbox (unavailable on Versalist)
View technical recipe
Configured tools
- Google ADK · Required
- Google Gemini · Optional
- Google · Optional
Evaluation contract
- takedown_trigger_test · Weight 1
- extraction_precision · Weight 1
Recipe state
This is a preview. The configuration can change before the evaluation recipe is locked.