Compare tools
Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.
⇄ Comparison dimension — pick the market you're actually shopping in
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DHTMLX Chatbot
✓ verifiedFree
Lightweight MIT-licensed JavaScript chatbot UI widget for building support-agent chat interfaces on top of any LLM.
92K visits/mo
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Gologin Cloud Browser
✓ verifiedPaid
Serverless cloud browser API with persistent sessions, built-in stealth and proxies, for AI agents, automation and scraping.
655K visits/mo
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HTTPie
✓ verifiedFreemium
Human-friendly API testing client for terminal, desktop and web, known for readable syntax; the CLI is open source.
82K visits/mo
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Google Opal
✓ verifiedFree
Google Labs experiment for building and sharing AI mini-apps from natural-language prompts, no coding required.
2.1M visits/mo
Pricing
No public pricing
Professional: $24/mo billed annually (100 profiles)
Business: $49/mo billed annually (300 profiles)
Enterprise: $99/mo billed annually (1000 profiles)
Custom: $149/mo billed annually (2000+ profiles)
Free trial available
No public pricing
No public pricing
Core features
- ✦MIT-licensed and free to use
- ✦Lightweight (~65kb) JavaScript widget
- ✦4 message display modes plus typewriter effect
- ✦Markdown support and chat history
- ✦Backend hook to integrate any LLM
- ✦Responsive, mobile-friendly, read-only mode
- ✦Serverless cloud Chromium browsers
- ✦Persistent logged-in sessions
- ✦Built-in stealth / anti-detect fingerprinting
- ✦Residential & datacenter proxies in 150+ countries
- ✦Playwright/Puppeteer WebSocket connection
- ✦Headful mode for live inspection
- ✦Human-friendly command-line HTTP client
- ✦Web and desktop GUI apps
- ✦Simple, readable request syntax
- ✦Request export/import and history
- ✦Path parameters and 'copy as command'
- ✦Open-source terminal version
- ✦Build AI mini-apps from natural-language prompts
- ✦Visual editor for prompt/tool workflows
- ✦Share created apps with others
- ✦No-code AI app prototyping
Use cases
- →Adding an AI chat UI to web apps
- →Building LLM-powered support agents
- →Embedding chat widgets in existing products
- →Prototyping chatbot interfaces
- →Running AI browser agents
- →Web scraping at scale
- →Automating logged-in workflows
- →Debugging automation in live sessions
- →Testing REST APIs
- →Sending and inspecting HTTP requests
- →Debugging web services
- →Sharing API requests across a team
- →Prototyping an AI workflow quickly
- →Sharing a custom AI mini-app
- →Automating a task with chained prompts
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