Fetches Azure cost breakdown by service and resource group for a given time period.

Identifies idle/underutilized Azure VMs based on average CPU usage over a time period.

Detects daily Azure cost spikes by comparing each day's spend against the period average.

Fetches GCP cost breakdown by service and project from BigQuery billing export for a given time period. Use this to answer questions about overall GCP spend, top spending services, or cost by project.

Detects daily GCP cost spikes by comparing each day's spend against the period average, with a per-service breakdown for anomaly days.

Identifies idle GCP Compute Engine VMs (low CPU) and unattached Persistent Disks that are wasting money.

Fetches AWS cloud cost breakdown by service and region for a given time period. Use this to answer questions about overall spend, top spending services, or cost by region.

Detects unusual cost spikes across AWS services compared to baseline spending. Use this when asked about billing surprises, unexpected charges, or cost spikes.

Identifies idle or underutilized AWS resources including EC2 instances, RDS databases, and unattached EBS volumes that are wasting money. Use this when asked about waste, unused resources, or easy cost savings.

Checks AWS resource tagging compliance — identifying resources missing required tags like Environment, Owner, CostCenter, and Project. Use this when asked about cost allocation, untagged resources, or tagging policies.