Burntop vs Temporal AI
Side-by-side comparison of features, pricing, and ratings
At a glance
| Dimension | Burntop | Temporal AI |
|---|---|---|
| Pricing | Free | Freemium (usage-based billing for cloud) |
| Best For | Individual developers tracking personal AI usage | Teams building reliable AI agents and workflows |
| Key Feature | Real-time token and cost dashboard | Durable execution with automatic state capture |
| Integrations | Claude, Cursor, ChatGPT | OpenAI Agents SDK, Google ADK, Slack, Salesforce, etc. |
| License | MIT | Open-source (MIT-like) + Cloud proprietary |
| Latest News | No recent news | Usage-based billing, Custom Roles pre-release (June 2026) |
If you are an individual developer wanting a free, open-source tool to track AI usage costs across ChatGPT, Claude, and Cursor, Burntop is the clear choice. If you need a production-grade durable execution platform to orchestrate reliable AI agents with retries, human-in-the-loop, and multi-service orchestration, Temporal is essential—though it comes with a learning curve and usage-based pricing for the cloud tier.
Free open-source AI usage tracking and analytics that syncs your token and cost data from Claude, Cursor, ChatGPT and other tools onto a shareable dashboard.
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Durable execution platform that keeps AI agents and long-running workflows alive through crashes, retries, and abandoned sessions.
Visit WebsiteWho should pick which
- Solo developer tracking personal AI spendingPick: Burntop
Burntop is free, easy to set up, and provides detailed insights into token usage and costs across ChatGPT, Claude, and Cursor.
- Engineering team building AI agents with reliability requirementsPick: Temporal AI
Temporal's durable execution, retries, and human-in-the-loop workflows are essential for production-grade AI orchestration.
- Dev who wants to share AI usage stats via badgesPick: Burntop
Burntop's embeddable badges and yearly wrapped are designed for social sharing and community engagement.
- Enterprise architect needing multi-step workflow with rollbacksPick: Temporal AI
Temporal's Saga pattern, automatic retries, and comprehensive UI provide exactly the control and visibility needed.
- Non-technical user wanting simple cost trackingPick: Burntop
Burntop's CLI is simple, but for total non-technical users, alternatives might be better; however, among these two, Burntop is simpler.
Frequently Asked Questions
Burntop vs Temporal AI: which should you choose?
If you are an individual developer wanting a free, open-source tool to track AI usage costs across ChatGPT, Claude, and Cursor, Burntop is the clear choice. If you need a production-grade durable execution platform to orchestrate reliable AI agents with retries, human-in-the-loop, and multi-service orchestration, Temporal is essential—though it comes with a learning curve and usage-based pricing for the cloud tier.
Are Burntop and Temporal competitors?
No. Burntop tracks AI usage costs across tools like ChatGPT; Temporal orchestrates multi-step workflows. They solve completely different problems.
Can I use Temporal for free?
Yes, the open-source server is free to self-host. Temporal Cloud uses usage-based billing; costs depend on workflow actions.
Is Burntop open-source?
Yes, under MIT license. The code is publicly available and community-driven.
Does Temporal support human-in-the-loop?
Yes, via signals and pause/resume features. This was highlighted as a key capability.
What recent changes did Temporal announce?
In June 2026, Temporal introduced usage-based billing for better cost transparency, Custom Roles (pre-release), Serverless Workers, Standalone Activities, and Workflow Streams.
How do I set up Burntop?
Run a single CLI command: `bunx burntop sync`. It automatically syncs usage data from supported AI tools.
Can Burntop track multiple users?
Burntop is designed for personal use. Team features like role-based access are not available; it's not for enterprise.
Does Temporal integrate with AI frameworks?
Yes. Temporal has integrations with OpenAI Agents SDK and Google ADK, among others like Slack and Salesforce.
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Last reviewed: July 3, 2026