Editorial take
Why it stands out
AgentQL should be framed as web interaction infrastructure for agents, not as a generic scraping utility.
Loading
Tool profile
AI-powered query language and browser tooling for resilient web scraping, automation, and agent access to live websites.
Web agents
AgentQL belongs in the catalog because it tackles a real bottleneck in agentic web automation: brittle selectors and hand-tuned scraping logic. The official product positions AgentQL as a query language, SDK, debugger, playground, and remote browser stack for finding and interacting with web elements using natural-language intent rather than fragile CSS or XPath glue. That matters for teams building agents that need to keep working across dynamic sites, not just for one-off scraping scripts.
It also deserves inclusion because the commercial model is unusually legible for this category. The official pricing page clearly separates a free trial, a $0 Starter plan, a $99/month Professional plan, and custom Enterprise support. That makes AgentQL easier to evaluate than many agent-browser products that blur together trials, hosted execution, and opaque enterprise packaging.
Quick fit
Editorial take
AgentQL should be framed as web interaction infrastructure for agents, not as a generic scraping utility.
What it does well
Primary use cases
Fit notes
Compare with
Pressure-test this pick against nearby alternatives.
Pricing snapshot
AgentQL offers a free trial, a $0/month Starter plan, a $99/month Professional plan, and Enterprise pricing on request.
AgentOps
Free planAgent observability
Observability for AI agents with tracing, debugging, session visibility, and production monitoring.
Closer to agent observability than to model hosting or prompt tooling
