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.

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Refraction.dev
✓ verifiedFreemium

AI code-generation tool creating tests, docs and refactors for developers.

👁 2.8K/mo
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

No public pricing

Hobby: Free
Pro: $8 per month
Team: $14 per user per month
Pro: $80 per year
Team: $140 per user per year
Core features
  • 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
  • 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)
  • Code generation in 56 languages
  • Unit test generation
  • Code refactoring
  • Inline documentation creation
  • Bug detection
  • Code conversion between languages
  • Function creation
  • CSP generation
  • CSS style conversion
  • Debug statement addition
Use cases
  • Organic keyword tracking
  • Brand protection
  • Price comparison
  • Market research
  • Detect copyright infringements
  • Ad intelligence
  • Creating and manipulating datasets
  • Training small machine learning models
  • Implementing advanced training and inference logic
  • Building applications that require tensor computations
  • Generating unit tests for existing codebases
  • Refactoring legacy code to modern practices
  • Creating inline documentation for better code understanding
  • Converting code from one language to another
  • Generating SQL queries based on requirements
  • Creating CI/CD pipelines for automated deployment
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