AI Agent AI-Powered Campaign Automation & Optimization Active

ML Analysis Agent

Tools: `isolation_forest`, `statistical_test`, `trend_analysis`. Applies Isolation Forest algorithm for multivariate anomaly detection.

View Core Logic Back to Worker

Parent Worker AI-Powered Campaign Automation & Optimization

Agent ID

analysis_agent

Portal Nexgile-DATAMARQ Command

Sector Marketing Technology (MarTech) / Enterprise Marketing Services

Status

Operational

Problem Statement

The challenge addressed

Detecting meaningful anomalies requires sophisticated statistical methods that distinguish signal from noise and account for seasonality and external factors.

Core Logic

How the agent solves it

Tools: `isolation_forest`, `statistical_test`, `trend_analysis`. Applies Isolation Forest algorithm for multivariate anomaly detection. Performs Z-score and T-test for statistical significance. Uses S... Tools: `isolation_forest`, `statistical_test`, `trend_analysis`. Applies Isolation Forest algorithm for multivariate anomaly detection. Performs Z-score and T-test for statistical significance. Uses STL decomposition for seasonal adjustment. Calculates anomaly scores with confidence intervals. Classifies findings by type (Anomaly, Opportunity, Risk, Insight) and severity with supporting statistical evidence.

Visual Output 1 screenshots

System Navigation

Explore related components

Portal

Nexgile-DATAMARQ Command

Digital Worker

AI-Powered Campaign Automation & Optimization

Current Agent

ML Analysis Agent

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