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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.

Chatbotkit logo
Chatbotkit
✓ verifiedFreemium

Developer-focused platform to build and deploy AI agents across widgets, messaging apps, and SDKs, with security and observability.

59K visits/mo19K saves
Chatnode logo
Chatnode
✓ verifiedFreemium

Platform to build AI customer-service agents trained on your data that answer 24/7, take real actions and hand off to humans.

10K visits/mo44K saves
Wonderchat logo
Wonderchat
✓ verifiedPaid

AI chatbot builder that trains a support agent on your website content in minutes to deflect tickets and capture leads with cited answers.

82K visits/mo12K saves
Augment Code logo
Augment Code
✓ verifiedPaid

Agentic coding platform (Cosmos) that runs software-dev agents at org scale, using a codebase context engine to cut token cost.

544K visits/mo
Gumloop logo
Gumloop
✓ verifiedFreemium

No-code platform for building and running AI agents that automate work across data, sales and support tasks.

701K visits/mo
Pricing
Free: $0 (3 bots, 50K tokens/mo)
Basic: $25/mo (5 bots, 1M tokens)
Pro: $65/mo (25 bots, 2M tokens)
Free: $0/mo (35 credits/mo, 1 chatbot)
Lite: $35/mo (1,250 credits/mo, 1 agent)
Standard: $89/mo (12,500 credits/mo, 3 agents)
Scale: $377/mo (50,000 credits/mo, 8 agents)

Free trial available

No public pricing

Business: $100/mo flat (up to 50 seats, $100 usage included)

Free trial available

Pro: $37/month (20k+ credits/month, unlimited seats)
Core features
  • Build agents from datasets, skillsets, integrations
  • Embeddable widgets and SDKs
  • Messaging channels (Slack, Discord, WhatsApp, Telegram)
  • OAuth and MCP integrations
  • Bring-your-own model support
  • Whitelabel and custom branding
  • Observability, security, governance
  • AI agents trained on website/docs with auto-retrain
  • AI Actions (Stripe billing, Calendly booking, API calls)
  • Multi-channel embed (site, Slack, Notion and more)
  • Human handoff with context
  • Analytics on deflection and satisfaction
  • Multiple LLMs selectable per task
  • Fast setup trained directly on website content
  • Answers cited back to source content
  • Inbound lead capture with automated follow-up
  • Integrations with existing support/marketing stack
  • Self-improving responses over time
  • Context Engine for codebase understanding
  • Agents across the full SDLC
  • Model routing / bring-your-own-keys
  • Automated code review and test coverage
  • CLI, MCP and native tool integrations
  • Enterprise security (SOC 2, ISO 42001, SSO)
  • Visual canvas to orchestrate multi-agent workflows
  • Prebuilt specialized agents (data, support, CRM, sales)
  • Access to many AI models with no vendor lock-in
  • Slack, Teams and email agent interaction
  • Recurring/scheduled tasks and triggers
  • Enterprise security: RBAC, VPC, audit logs, spend controls
Use cases
  • Building custom AI agents for support or leads
  • Embedding AI widgets on websites and apps
  • Deploying agents across messaging platforms
  • Automate customer support
  • Book meetings and complete tasks in chat
  • Capture and qualify leads
  • Keep answers current via auto-retrain
  • SaaS companies deflecting repetitive support questions
  • Marketing teams capturing and qualifying leads via chat
  • Support teams wanting AI answers backed by verifiable sources
  • Automating PR code review
  • Raising test coverage
  • Incident investigation and remediation
  • Large-scale migrations and onboarding
  • Automate data analysis and reporting
  • Triage support tickets and spot patterns
  • Keep a CRM updated and research prospects
  • Deploy AI agents across a team's tools
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