Toolspool.ai

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👁 11K/mo
Qoder
Freemium
👁 2.7M/mo32K
👁 4.3M/mo7.1K
Mathpix
Freemium
👁 480K/mo
Pricing
Free: $0
Starter: $31
Team: $82
Popular: $125

No public pricing

Free trial available

Essential: $29 per seat/mo (billed annually) + $0.99 per Fin resolution
Advanced: $85 per seat/mo (billed annually) + $0.99 per Fin resolution
Expert: $132 per seat/mo (billed annually) + $0.99 per Fin resolution
Fin AI Agent (on existing helpdesk): $0.99 per Fin resolution (50 resolutions per month minimum)
Copilot: $29 per agent/mo (billed annually)
Proactive Support Plus: $99 /mo
Snip Pro: from $4.99/mo (free tier available)
Convert API: from $0.002/image (pay-as-you-go)
Files API: from $1.00 per 1,000 pages

Free trial available

Core features
  • LinkedIn outreach automation
  • Cold email automation
  • Sales engagement CRM
  • Automated email warmup
  • AI personalization
  • Lead management
  • Sender rotation
  • Integrations
  • Enhanced Context Engineering for deep codebase analysis and adaptive memory
  • Intelligent Agents for autonomous planning, coding, and testing
  • Spec-Driven Development for clarifying requirements and automating execution
  • Intelligent Codebase Search and Advanced Repository Insight
  • Context-aware code completions and next-edit suggestions
  • Support for leading AI models (Claude, GPT, Gemini)
  • Fin AI Agent for automated customer support
  • Omnichannel support (inbox, tickets, phone, help center)
  • AI-enhanced inbox for agent productivity
  • AI Insights & Reporting for performance optimization
  • Workflow automation with a visual builder
  • Document conversion to LaTeX, DOCX, Markdown, Excel, ChemDraw, etc.
  • Handwriting recognition
  • Table OCR
  • PDF search and reader
  • Secure conversion service
Use cases
  • Automate LinkedIn connection requests and follow-ups.
  • Send personalized cold emails at scale.
  • Manage leads and track interactions in a centralized CRM.
  • Improve email deliverability with automated warmup.
  • Personalize outreach using AI to insert company details and pain points.
  • Delegating complex software development tasks to AI agents for autonomous completion.
  • Performing multi-file code edits and refactoring through natural language chat.
  • Gaining deep architectural understanding of a codebase to resolve issues with precision.
  • Generating unit tests, code explanations, and uncovering codebase architecture.
  • Systematically tackling software development tasks from planning to testing.
  • Providing instant customer service with Fin AI Agent
  • Managing customer inquiries across multiple channels
  • Automating support workflows to improve efficiency
  • Empowering support agents with AI-powered tools
  • Gaining insights into customer service performance
  • Making documents accessible
  • Processing chemical documents
  • Collaborating on documents
  • Training language models
  • Supporting academic research
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