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.

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

5.2K
👁 670K/mo
👁 21K/mo
Pricing

No public pricing

Developer: $0 free forever (10 repos)
Basic: $300/mo (100 repos)
Pro: $600/mo (200 repos)
Advanced: $600/mo (500 repos)

Free trial available

DEVELOPER: FREE
STARTER: $119 / month
GROWTH: $599 / month
ENTERPRISE: Starting at $1,800 / 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)
  • AI AutoTriage (cuts false positives by 85%)
  • AI AutoFix (1-click fixes, generates pull requests)
  • 12-in-1 Security Scanners (SCA, SAST, DAST, CSPM, IaC, Secrets, Container, Malware, etc.)
  • Runtime Protection (In-app Firewall / WAF)
  • Integrated Code Quality
  • 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
Use cases
  • Creating and manipulating datasets
  • Training small machine learning models
  • Implementing advanced training and inference logic
  • Building applications that require tensor computations
  • Automate SOC 2, ISO & more compliance
  • All-in-one vulnerability management
  • Advanced code security
  • Generate SBOMs (1-click SCA reports)
  • End-to-end AppSec (ASPM)
  • End-to-end cloud security (CSPM)
  • Block 0-Day threats
  • 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.
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