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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
248K visits/mo4.8K 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
PromptLayer logo
PromptLayer
✓ verifiedFree

Prompt engineering, management, and LLM observability platform.

212K visits/mo
Pricing
Free: $0 (3 bots, 50K tokens/mo)
Basic: $25/mo (5 bots, 1M tokens)
Pro: $65/mo (25 bots, 2M tokens)

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)

No public pricing

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
  • Lifelike voice AI agents
  • 24/7 availability
  • Customer-led conversational platform
  • Integration with enterprise systems
  • 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
  • Prompt management
  • Prompt evaluations
  • LLM observability
  • Team collaboration
  • Version control for prompts
  • A/B testing of prompts
  • Prompt Registry
  • Historical backtests
  • Regression tests
  • Usage monitoring
Use cases
  • Building custom AI agents for support or leads
  • Embedding AI widgets on websites and apps
  • Deploying agents across messaging platforms
  • Answering customer service calls
  • Providing information and support
  • Resolving customer issues
  • Automating call center operations
  • 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
  • Scaling customer support automation with LLMs
  • Empowering non-technical teams with prompt engineering
  • Building personalized AI interactions
  • Debugging LLM agents
  • Improving content creation processes
  • Managing and monitoring prompts with a team
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