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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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Apify
✓ verifiedFreemium
Full-stack platform for web scraping, data extraction, and automation; category leader.
👁 4.4M/mo♥ 2.0K
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DeepSeek V4
✓ verifiedFree
DeepSeek's official domain and foundation-model line; major AI lab.
👁 430M/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
Free: $0/mo ($5 included usage)
Starter: $29/mo ($26/mo billed annually)
Scale: $199/mo ($179/mo billed annually)
Business: $999/mo ($899/mo billed annually)
Free trial available
No public pricing
Starter: $59 per seat/mo
Professional: $89 per seat/mo
Enterprise: $139 per seat/mo
No public pricing
Free trial available
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
- ✦Web scraping
- ✦Data extraction
- ✦Browser automation
- ✦AI agents
- ✦Anti-blocking
- ✦Proxy rotation
- ✦Open-source tools (Crawlee)
- ✦Ready-made tools and code templates
- ✦General large language models (LLM)
- ✦Code generation models
- ✦Mixture of Experts (MoE) models
- ✦API access to models
- ✦Context Caching
- ✦Unified Inbox (Ticketing, Chat Widget, Email, Microsoft Teams, Slack Connect, Ticket Forms, Slack Community)
- ✦AI Support (AI Agents, AI Assistants, AI Autofill, Article Copilot, AI Issue Summaries)
- ✦Knowledge Base (Host Help Center, Internal KB, Article Versioning & Visibility)
- ✦Customer Portal (Shared issue portal with customers)
- ✦Workflows & Automation (Triggers, Macros, Team Assignment Rules)
- ✦Account Management (Account Views, Product Updates, Broadcasts)
- ✦Reporting & Analytics (Support Metrics, CSAT Analytics, Workforce Analytics, SLA Compliance Analytics)
- ✦Integrations (Product, CRM, Alerting, Data Warehouse, Incident Management, API & Webhooks)
- ✦Enterprise Readiness (RBAC, Security Review, MSA, SLAs)
- ✦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)
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
- →Data for generative AI
- →Lead generation
- →Market research
- →Sentiment analysis
- →Chatbots and conversational AI
- →Code completion and generation
- →Reasoning and problem-solving
- →Text generation and summarization
- →Mathematical problem solving
- →Search
- →Writing
- →Reading
- →Replacing legacy support systems like Zendesk and Freshdesk for improved efficiency.
- →Scaling 24/7 customer support operations with AI agents and runbooks.
- →Transforming account management processes with AI-powered summaries.
- →Automating common responses and codifying business processes through workflows.
- →Broadcasting new features, newsletters, and product updates to customers.
- →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.
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