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Overview#
The Analysis Jobs module provides a dedicated job tracking system for managing asynchronous AI-powered analysis operations within the Argus platform. It enables organizations to monitor and manage long-running analysis tasks with detailed progress tracking, token usage reporting, cost estimation, and structured result aggregation.
Key Features#
- Asynchronous Job Management - Track long-running AI analysis tasks from creation through completion with full lifecycle visibility.
- Progress Tracking - Real-time progress updates (0-100%) for active jobs, enabling frontend dashboards to display live status to analysts.
- Token and Cost Monitoring - Track tokens consumed and estimated costs per job, providing visibility into AI resource usage and enabling budget management.
- Multi-Tenant Support - Jobs are scoped to individual tenants for secure data isolation across organizations.
- Investigation Association - Link analysis jobs to specific investigations for contextual tracking and per-case resource attribution.
- Structured Findings - Capture job results in a structured format including entity counts, relationship counts, anomaly counts, and prediction counts.
- Aggregate Statistics - Dashboard-ready statistics including job counts by status, average duration, total token usage, and cumulative cost estimates.
- Programmable API Access - Full API support for querying jobs with filtering and pagination, and retrieving aggregate statistics.
Job Types#
- Entity Extraction - Extract entities such as people, organizations, locations, and financial instruments from text data.
- Graph Analysis - Analyze relationship graphs to identify network structures, communities, and central actors.
- Threat Modeling - Perform security threat analysis to identify vulnerabilities and attack vectors.
- Pattern Recognition - Identify recurring behavioral patterns across datasets.
- Anomaly Detection - Detect statistical outliers that may indicate fraud, insider threats, or unusual activity.
- Correlation Analysis - Correlate data from multiple sources to identify connected events and relationships.
- Predictive Modeling - Generate forecasts and predictions based on historical data and patterns.
Job Lifecycle#
- Queued - Job created and waiting to be picked up by a worker process.
- Running - Job actively processing with progress updates.
- Completed - Job finished successfully with results stored.
- Failed - Job encountered an error, with diagnostic message captured.
- Cancelled - Job manually cancelled before completion.
Use Cases#
- Analysis Dashboard - Display a live dashboard showing all active and recent analysis jobs with progress bars, cost tracking, and result summaries.
- Cost Management - Monitor AI token usage and costs across investigations to manage budgets and optimize analysis strategies.
- Investigation Analytics - View all AI analysis jobs associated with a specific investigation to understand the analytical work performed and findings generated.
- Operational Monitoring - Track job queue depth, failure rates, and processing times to ensure healthy analysis pipeline performance.
Integration#
The Analysis Jobs module integrates with other Argus modules:
- Analysis - Provides the underlying analytical engines that create and execute analysis jobs.
- Analytics - Analysis jobs may be created by the analytics engine for scheduled or triggered calculations.
- Administration - Job queue health and statistics feed into administrative monitoring dashboards.
- Investigation Management - Jobs are associated with investigations for contextual result tracking.
Last Reviewed: 2026-02-05