toolspool

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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.

Google Antigravity logo
Google Antigravity
✓ verifiedFree

Google's agentic development platform and IDE for building software with autonomous, Gemini-powered coding agents.

22M visits/mo18K saves
Polsia logo
Polsia
✓ verified

Claims a fully autonomous AI system that runs companies 24/7; overreaching pitch, thin proof.

1.4M visits/mo
Agent Skills Marketplace logo
Agent Skills Marketplace
✓ verifiedFree

Searchable directory of open-source AI agent 'skills' (SKILL.md files) for developers building with Claude, Codex, or ChatGPT agents.

777K visits/mo
OpenRouter logo
OpenRouter
✓ verifiedFreemium

Unified API gateway that routes requests to 400+ LLMs across 70+ providers with failover and no subscription.

17M visits/mo
Pricing

No public pricing

No public pricing

No public pricing

Free: $0 (free models only, 50 requests/day)
Pay-as-you-go: 5.5% platform fee on inference
Core features
  • Agent-first IDE experience
  • Autonomous planning and code execution
  • Integrated editor, terminal and browser control
  • Powered by Google's Gemini models
  • High-level developer supervision
  • Autonomous planning, coding, and marketing
  • 24/7 continuous business operations
  • Third-party tool integrations (Email, Social, Payments)
  • Self-adapting and data-driven optimization
  • Founder inbox management and VC negotiation
  • Live dashboard for real-time task tracking
  • Full-text search across millions of indexed SKILL.md files
  • Browse skills by creator or by occupation category
  • Inspect GitHub source links for each skill before use
  • REST API access to the skill catalog
  • One-click running of skills inside supported agent platforms
  • One unified, OpenAI-compatible API for 400+ models
  • Automatic provider failover for higher uptime
  • Edge routing for low latency
  • Custom data and provider policies
  • Pay-as-you-go credits usable across any model
Use cases
  • Building apps with AI agents
  • Automating multi-step coding tasks
  • Prototyping and iterating on software
  • Assisting developers on complex work
  • Building and launching a startup with zero human staff
  • Automating multi-channel marketing and content promotion
  • Maintaining and updating software products on autopilot
  • Managing investor relations and daily business workflows autonomously
  • Finding an existing agent skill instead of writing one from scratch
  • Comparing similar skills across different creators
  • Building custom search or analytics on top of the skill catalog via API
  • Discovering skills relevant to a specific job function
  • Accessing many LLMs through one integration
  • Adding provider redundancy to AI apps
  • Comparing model price and performance
  • Powering agents and AI-native products
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