AtlasBurn
ChatGPT pluginTrack and control AI spend
Connect AtlasBurn to see where your AI spend is going across models, providers, workflows, and agents. Ask ChatGPT to break down usage and costs, identify expensive requests or unusual spending patterns, investigate retries and costly agent behavior, and review forecasts and budget guardrails.
AtlasBurn helps teams understand what is driving their AI costs and spot problems before they grow into larger bills.
The connection is read-only and content-blind: it reads cost and usage telemetry from your AtlasBurn workspace, never changes your settings, and never sees your prompts or model outputs.
- Featured
- No
not on the featured shelf
Movement
From our daily snapshots over the last 30 days.
Rank by placement
Rank in Developer tools
In its category
How this plugin compares with others in the same category. Positions are counted within the category, not across the whole directory.
Developer tools783rd of 900 by placement
| # | Plugin | Position | 7d |
|---|---|---|---|
| 781 | #9547 | — | |
| 782 | #9557 | — | |
| 783 | #9607 | 1,114places down | |
| 784 | #9619 | — | |
| 785 | #9633 | — |
Also on other marketplaces
Example prompts
- “How much have we spent on AI in the last 30 days?”
- “Which models and features are driving our AI costs?”
- “Check our runway, guardrail status, and whether any agent looks like it's looping.”
- Categories
- Made by
- Akhil Anand · Website
- Sign-in
- On Install
- Capabilities
- Show total AI spend, token usage, and request volume, Break down AI costs by model and product feature, Forecast monthly AI bill, daily burn, and budget runway, Report guardrail status, budgets, and recent breaches, Flag retry loops and runaway agent behavior, Read-only: never changes settings or sees prompts and outputs
- Availability
- Available
- Version
- 1.0.2
- Keywords
- ai-cost, llm, finops, observability, guardrails, mcp
- Created
- October 11, 2026
- More info
- Sponsorship
- Promote this plugin