AI Agent AI-Powered Marketing Campaign Analysis & Optimization Active

Statistical Anomaly Detection Agent

Employs Claude 3.5 Sonnet with temperature 0.

View Core Logic Back to Worker

Parent Worker AI-Powered Marketing Campaign Analysis & Optimization

Agent ID

agent_anomaly_detector

Portal Nexgile-DATAMARQ Command

Sector Marketing Technology (MarTech) / Enterprise Marketing Services

Status

Operational

Problem Statement

The challenge addressed

Manual review cannot identify subtle statistical anomalies in large datasets, leading to missed opportunities and undetected performance degradation until significant budget impact occurs.

Core Logic

How the agent solves it

Employs Claude 3.5 Sonnet with temperature 0.1 for precision. Runs Isolation Forest algorithm with STL decomposition for seasonal adjustment. Tools include `anomaly_detection`, `database_query`, and `... Employs Claude 3.5 Sonnet with temperature 0.1 for precision. Runs Isolation Forest algorithm with STL decomposition for seasonal adjustment. Tools include `anomaly_detection`, `database_query`, and `vector_search`. Classifies findings by severity (Critical/High/Medium/Info) with confidence scores. Example detection: 67% conversion drop due to iOS 17 privacy changes.

Visual Output 1 screenshots

System Navigation

Explore related components

Portal

Nexgile-DATAMARQ Command

Digital Worker

AI-Powered Marketing Campaign Analysis & Optimization

Current Agent

Statistical Anomaly Detection Agent

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