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.

Apify
✓ verifiedFreemium

Full-stack platform for web scraping, data extraction, and automation; category leader.

👁 4.4M/mo2.0K
👁 775K/mo
Nebius
Paid
👁 678K/mo133K

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

5.2K
Pricing
Free: $0/mo ($5 included usage)
Starter: $29/mo ($26/mo billed annually)
Scale: $199/mo ($179/mo billed annually)
Business: $999/mo ($899/mo billed annually)

Free trial available

No public pricing

NVIDIA H200 GPU: $2.30
NVIDIA H100 GPU: $2.00
NVIDIA Blackwell Platforms: Pre-order
NVIDIA H200 GPU (On-demand): $3.50
NVIDIA H100 GPU (On-demand): $2.95
NVIDIA L40S GPU with AMD (On-demand): from $1.82
NVIDIA L40S GPU with Intel (On-demand): from $1.55

No public pricing

Core features
  • Web scraping
  • Data extraction
  • Browser automation
  • AI agents
  • Anti-blocking
  • Proxy rotation
  • Open-source tools (Crawlee)
  • Ready-made tools and code templates
  • AI-powered code autocompletion
  • Context-aware code referencing and chat
  • Natural language code editing
  • Customizable AI code assistants
  • Flexible architecture for scaling AI workloads
  • Pre-configured NVIDIA GPU accelerators with high-performance InfiniBand
  • AI Studio for fine-tuning AI models
  • Managed Kubernetes and Slurm-based clusters
  • Competitive pricing for NVIDIA GPUs
  • 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)
Use cases
  • Data for generative AI
  • Lead generation
  • Market research
  • Sentiment analysis
  • Accelerate development with AI-powered autocompletion.
  • Improve code understanding with context-aware chat.
  • Refactor code using natural language instructions.
  • Fine-tuning open source models into specialized AI solutions
  • Revolutionizing drug discovery, biotechnology, genomics, and healthtech
  • Orchestrating and scaling AI environments using Managed Kubernetes or Slurm
  • Deploying MLflow, PostgreSQL, and Apache Spark with zero maintenance effort
  • Creating and manipulating datasets
  • Training small machine learning models
  • Implementing advanced training and inference logic
  • Building applications that require tensor computations
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