Your AI cloud spending analyst that finds waste, recommends savings, and keeps your infrastructure budget in check.
Cost Optimizer analyzes your cloud bills to find idle resources, over-provisioned instances, and missed savings opportunities. It generates weekly reports with prioritized recommendations and tracks spending trends over time. Built for engineering leads, DevOps teams, and CTOs who want to stop overpaying for cloud infrastructure.
- Copy the
SOUL.mdto your OpenClaw project - Configure your preferred channel (Telegram, Slack, Discord)
- Run
openclaw start
Or deploy instantly with CrewClaw →
- Waste detection for idle and underutilized resources
- Right-sizing recommendations based on actual usage patterns
- Reserved instance and savings plan ROI calculations
- Spending trend analysis with monthly forecasting
- Cost anomaly alerts for unexpected spikes
Weekly Cost Report — Feb 15-22
Total Spend: $3,705 (+4% vs last week)
Identified Savings: $860/week
Top 3 Opportunities:
1. Stop dev instances nights/weekends → $232/wk
2. Delete 14 orphaned EBS volumes → $105/wk
3. Downsize RDS to r5.2xlarge → $210/wk
Quick Win: Delete orphaned volumes (1 command, $105/wk)
| Setting | Default | Description |
|---|---|---|
| cloud_provider | aws | Cloud platform to analyze |
| report_schedule | monday 09:00 | Weekly report delivery time |
| savings_threshold | $50/mo | Minimum savings to report |
| anomaly_sensitivity | 20% | Spending increase that triggers alert |
| tag_strategy | team,env,service | Cost allocation tag hierarchy |
- AWS Cost Explorer / GCP Billing / Azure Cost Management
- Terraform / CloudFormation (for resource inventory)
- Slack / Telegram / Discord
- Datadog / CloudHealth
- Jira / Linear (for savings implementation tickets)