Toolspool.ai

Compare tools

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

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

5.2K
Text2SQL
✓ verifiedFreemium

Converts natural language into SQL across databases; useful real dev tool.

👁 20K/mo14K
👁 2.6K/mo
EverSQL
✓ verifiedPaid

AI SQL optimizer for PostgreSQL and MySQL; well-regarded niche developer tool.

👁 6.5K/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
Basic: $8 USD / month billed annually ($4)
Pro: $25 USD / month billed annually ($19)
Enterprise: Custom USD / month

No public pricing

Free: $0 /month
Starter: $129 /month
Plus: $490 /month
Enterprise: $2898 /month
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
  • Text to SQL conversion
  • AI query generation, explanation, fixing, and optimization
  • Support for multiple database types
  • Database schema integration for accuracy
  • Public API for integration with other tools
  • Natural language to SQL conversion
  • Automatic SQL Query Optimization
  • Ongoing AI-based Performance Insights
  • Cost Reduction Recommendations
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
  • Generating SQL queries from natural language descriptions
  • Explaining complex SQL queries
  • Fixing errors in existing SQL code
  • Optimizing SQL queries for performance
  • Building custom SQL AI tools using the API
  • Generating SQL queries from text descriptions.
  • Optimizing slow SQL queries to improve application performance.
  • Monitoring database performance to identify potential bottlenecks.
  • Reducing database costs by identifying redundant indexes and schema optimizations.
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