AgentQL vs Steel (2026)
Updated March 10, 2026
Overview
AgentQL provides a query language for AI agents to interact with web pages.
Steel is an open-source browser API and sandbox designed for AI agents. It provides managed browser sessions with authentication persistence, anti-detection, and debugging tools, handling the infrastructure complexity of running browsers at scale for autonomous AI workflows.
Strengths and tradeoffs
What each tool does well, and the limitations to keep in mind.
Pros
- Production-ready platform
- Good performance
- Active development
- Strong features
Cons
- Enterprise pricing varies
- Setup complexity
- Learning curve required
Pros
- Production-ready
- Good performance
- Active development
Cons
- Pricing varies
- Setup required
Compare AgentQL and Steel on your own traffic
Respan lets you trace LLM and agent calls across any model or framework, A/B test prompts on production traffic, and route requests across 1,000+ models through one gateway.
Try Respan freeFrequently Asked Questions
Other popular comparisons
Anthropic Computer Use vs OpenAI Operator
Anthropic Computer Use vs Browser Use
Anthropic Computer Use vs Google Project Mariner
Anthropic Computer Use vs Browserbase
Browser Use vs OpenAI Operator
Google Project Mariner vs OpenAI Operator
Browserbase vs OpenAI Operator
Browser Use vs Google Project Mariner
Browser Use vs Browserbase