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.

1.7K

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

5.2K
n8n
✓ verifiedFree trial

Category-defining workflow automation platform; enormous traffic.

👁 6.7M/mo
Pricing

No public pricing

No public pricing

No public pricing

Unlocker API: Starts from $1.05/1k req
Crawl API: Starts from $1.05/1k req
SERP API: Starts from $1.05/1k req
Browser API: Starts from $5.88/GB
Scrapers: Starts from $300/mo
Datasets: Starts from $250/mo
Functions: Starts from $2.7/1k req
RetailInsights: Starts from $1,000/mo
Residential Proxies: Starts from $3.53/GB
Datacenter Proxies: Starts from $0.9/IP
ISP Proxies: Starts from $1.3/IP
Mobile Proxies: Starts from $5.88/GB
Custom Scraper: Starts from $300/mo
Starter: €20/mo (2.5K workflow executions)
Pro: €50/mo (10K executions)
Business: €667/mo (40K executions)

Free trial available

Core features
  • 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)
  • Multi-engine support (Google, Duckduckgo, Bing, Yandex, Baidu)
  • Real-time structured SERP data
  • Pay-per-successful-request pricing
  • Full JavaScript support
  • Precise geo-location targeting
  • Structured data delivery in JSON or HTML
  • Flexible AI workflow automation
  • Combines code and no-code development
  • On-premise or cloud hosting options
  • Over 500 integrations and custom tool support
  • Multi-step AI agent creation
  • Self-hosting capability including AI models
  • Chat with your own data (e.g., via Slack, Teams)
  • Advanced debugging tools (re-run single steps, mock data)
  • 1700+ workflow templates
  • Enterprise-grade security and collaboration features (SSO, Git control, RBAC)
Use cases
  • Creating and manipulating datasets
  • Training small machine learning models
  • Implementing advanced training and inference logic
  • Building applications that require tensor computations
  • Organic keyword tracking
  • Brand protection
  • Price comparison
  • Market research
  • Detect copyright infringements
  • Ad intelligence
  • On-boarding new employees for IT operations
  • Enriching security incident tickets for security operations
  • Converting natural language into API calls for DevOps
  • Generating customer insights from reviews for sales teams
  • Automating user management
  • Integrating marketplace data sources
  • Creating AI agent chatbots
  • Scraping and summarizing webpages with AI
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