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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.

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
Base44 logo
Base44
✓ verifiedFreemium

No-code AI platform that builds full-stack apps, websites and agents from plain-language prompts with hosting built in.

18M visits/mo
Qase logo
Qase
✓ verifiedFreemium

Test management platform unifying manual and automated test results with AI-assisted case generation, for scaling QA teams.

375K visits/mo
Pricing

No public pricing

Pro: $37/month (20k+ credits/month, unlimited seats)
Free: $0
Starter: $16/mo
Builder: $40/mo
Pro: $80/mo
Elite: $160/mo
Free: $0/user (up to 3 users, 2 projects, 500MB storage)
Startup: $24/user/month (up to 20 users, 1,000 AI credits/month)
Business: $30/user/month (up to 100 users, 2,000 AI credits/month)

Free trial available

Core features
  • CSV to API conversion
  • Data parsing (CSV to JSON)
  • Filtering capabilities
  • 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-to-app full-stack generation
  • Built-in backend, database and auth
  • One-click integrations (Slack, Notion, HubSpot, etc.)
  • Instant hosting and custom domains
  • Superagents for automated workflows
  • GitHub sync and code export
  • Central test case repository with reporting dashboards
  • AI conversion of manual test cases into automated test scripts
  • CI/CD-connected automated test orchestration
  • Requirements-to-test traceability reporting
  • MCP server for connecting AI agents to test data
  • 20+ integrations including Jira, GitHub, and Slack
Use cases
  • Sharing CSV data with a team via an API
  • Creating a public API from CSV data
  • Filtering and accessing specific data within a CSV file programmatically
  • 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
  • Building internal tools and dashboards
  • Launching websites and landing pages
  • Creating customer portals and CRMs
  • Deploying AI agents that automate tasks
  • QA teams consolidating scattered CI, manual, and automated results
  • Engineering orgs converting manual test backlogs into automation
  • Enterprises needing audit-ready traceability for regulated software
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