Toolspool.ai

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Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.

👁 82K/mo

Thin 'Lingbot-map' agent listing on github.com with zero traffic; too thin to tell.

5.2K
👁 1.5M/mo
Pricing

No public pricing

No public pricing

Free Plan: $0 one-time
Hobby: $16/month
Standard: $83/month
Growth: $333/month
Auto Recharge Credits: $11/mo for 1000 credits
Credit Pack: $9/mo for 1000 credits
Enterprise Plan: Contact for Pricing
Core features
  • MCP Native Integration
  • Behavioral Stealth
  • Integrated ROLA-IP Ecosystem
  • Roxy AI Agent
  • Production-Ready
  • Fast tensor operations
  • Differentiable tensors for gradient-based optimization
  • Network connectivity
  • Integration with Bun and Flashlight
  • Support for GPU computation with CUDA (Linux) and CPU computation (macOS)
  • Web scraping
  • Web crawling
  • Data extraction in Markdown, JSON, and screenshot formats
  • Dynamic content handling
  • Rotating proxies
  • Rate limits management
  • Open-source availability
  • Media Parsing
Use cases
  • AI Agent Web Execution Build and deploy autonomous AI Agents using MCP Protocol and OpenClaw. Run agents that can browse, login, and interact with complex web apps (SaaS, Dashboards) without being blocked by anti-bot shields.
  • Automated Social Media Farming Scale TikTok, Instagram, and Twitter account matrices using AI. RoxyBrowser combined with ROLA-IP ensures each account has a unique, high-trust residential identity, perfect for AI-driven content posting and engagement.
  • High-Security Data Scraping Scrape dynamic content from platforms with aggressive bot detection (Amazon, Google, LinkedIn). RoxyBrowser's AI-Pattern Smoothing makes your crawlers appear as genuine human users.
  • Cross-Border E-Commerce Management Securely manage multiple Amazon, eBay, or Etsy stores. Use AI to automate customer service and order tracking in a stabilized, leak-proof browser environment.
  • Creating and manipulating datasets
  • Training small machine learning models
  • Implementing advanced training and inference logic
  • Building applications that require tensor computations
  • Powering AI assistants with real-time web content
  • Enhancing sales data with web information
  • Adding scraping capabilities to code editors
  • Enabling customers to build AI apps with web data
  • Extracting comprehensive information for in-depth research
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