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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.
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Aura
✓ verifiedPaid
Well-known all-in-one digital safety and identity-protection platform.
👁 2.5M/mo♥ 762
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Kiro AI
✓ verifiedFreemium
Kiro spec-driven AI IDE from prototype to production; notable AWS-backed dev product.
👁 3.8M/mo
Pricing
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
Family: $32/mo (billed annually) or $50/mo (billed monthly)
Couple: $22/mo (billed annually) or $29/mo (billed monthly)
Individual: $12/mo (billed annually) or $15/mo (billed monthly)
Kids: $10/mo (billed annually) or $13/mo (billed monthly)
KIRO FREE: $0 /mo. per user
KIRO PRO: $19 /mo. per user
KIRO PRO+: $39 /mo. per user
No public pricing
Free trial available
Free: $0
Pro: $29/mo ($39/mo monthly)
Unlimited: $99/mo ($129/mo monthly)
Core features
- ✦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
- ✦Identity Theft Protection
- ✦Credit Monitoring
- ✦VPN & Online Privacy
- ✦Antivirus
- ✦Password Manager & Vault
- ✦Parental Controls & Safe Gaming
- ✦Spam Call Protection
- ✦Financial Transaction Alerts
- ✦AI IDE for prototype to production
- ✦Spec-driven development
- ✦Agent hooks for task automation (e.g., generating documentation, unit tests, code optimization)
- ✦Multimodal chat
- ✦Model Context Protocol (MCP) integration for connecting to docs, databases, APIs
- ✦Autopilot mode for autonomous execution of large tasks
- ✦Configurable agent interaction via steering files
- ✦Support for state-of-the-art AI models (Claude Sonnet 3.7, Sonnet 4)
- ✦VS Code compatibility (Open VSX plugins, themes, settings)
- ✦Image input for UI design or architecture guidance
- ✦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)
- ✦Live chat
- ✦Chatbots
- ✦Multi-channel messaging
- ✦Knowledge base
- ✦Integrations & API
Use cases
- →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
- →Protecting families from online threats and cyberbullying
- →Monitoring credit and financial accounts for fraud
- →Securing devices from malware and viruses
- →Managing passwords and sensitive data securely
- →Removing personal information from data brokers
- →Blocking spam calls and messages
- →Building secure file sharing applications from scratch quickly.
- →Creating games without extensive manual coding.
- →Accelerating development from concept to working prototype in a short timeframe (e.g., a weekend).
- →Generating detailed user stories and capturing requirements like a product manager.
- →Automating routine development tasks such as documentation generation, unit testing, and code performance optimization.
- →Implementing complex features on larger codebases with fewer prompts and less repetition.
- →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.
- →Sales: Increase sales by talking to customers in real-time.
- →Support: Help customers faster and solve their problems quickly.
- →Marketing: Automate lead qualification and collect feedback.
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