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.

Consistent Character by fofr
✓ verifiedFreemium

Cloud API to run and deploy open-source ML models; major developer platform.

👁 1.3M/mo17K

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

5.2K
👁 21K/mo
Apify
✓ verifiedFreemium

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

👁 4.4M/mo2.0K
Pricing
CPU: $0.000100/sec
Nvidia A100 (80GB) GPU: $0.001400/sec
2x Nvidia A100 (80GB) GPU: $0.002800/sec
4x Nvidia A100 (80GB) GPU: $0.005600/sec
8x Nvidia A100 (80GB) GPU: $0.011200/sec
Nvidia H100 GPU: $0.001525/sec
Nvidia L40S GPU: $0.000975/sec
2x Nvidia L40S GPU: $0.001950/sec
4x Nvidia L40S GPU: $0.003900/sec
8x Nvidia L40S GPU: $0.007800/sec
Nvidia T4 GPU: $0.000225/sec
2x Nvidia H100 GPU: $0.003050/sec
4x Nvidia H100 GPU: $0.006100/sec
8x Nvidia H100 GPU: $0.012200/sec

No public pricing

DEVELOPER: FREE
STARTER: $119 / month
GROWTH: $599 / month
ENTERPRISE: Starting at $1,800 / month
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

Core features
  • Run open-source machine learning models via API
  • Fine-tune models with custom data
  • Deploy custom models at scale
  • Automatic scaling of resources
  • Access to thousands of community-contributed models
  • 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)
  • Developer-first platform for AI-powered integrations
  • Secure, isolated sandboxes for running JavaScript/Python code
  • Automatic management of npm/PyPI dependencies
  • Built-in platform plumbing: secrets, webhooks, scheduling, logs, and audit
  • Yep Agent (prompt → runnable processes)
  • MCP Server/Tools (convert code into AI agent tools)
  • Serverless runtime (YepCode Run) and SDK access
  • Web scraping
  • Data extraction
  • Browser automation
  • AI agents
  • Anti-blocking
  • Proxy rotation
  • Open-source tools (Crawlee)
  • Ready-made tools and code templates
Use cases
  • Generating images from text prompts
  • Generating videos from text prompts
  • Restoring old photos
  • Generating captions for images
  • Fine-tuning models for specific tasks
  • Deploying AI features in applications
  • Creating and manipulating datasets
  • Training small machine learning models
  • Implementing advanced training and inference logic
  • Building applications that require tensor computations
  • Building complex API integrations that require custom code and logic beyond what no-code tools offer.
  • Safely running AI-generated scripts in isolated environments with secrets management.
  • Automating workflows that require large datasets, loops, branching, or custom dependencies.
  • Connecting AI agents to external databases, APIs, and services using MCP tools.
  • Data for generative AI
  • Lead generation
  • Market research
  • Sentiment analysis
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