Compare tools
Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.
⇄ Comparison dimension — pick the market you're actually shopping in
✕
Frontegg
✓ verifiedFreemium
Low-code customer identity and access management (CIAM) platform handling authentication and user management for SaaS apps.
9.0K saves
✕
exa.ai
✓ verifiedFreemium
Search, crawling and research API built for AI agents, with token-efficient results and structured web-data enrichment.
761K visits/mo1.7K saves
✕
BlackBox AI
✓ verifiedFreemium
AI coding platform routing many agents and models through one encrypted, usage-based endpoint with CLI, IDE and multi-agent execution.
3.9M visits/mo
✕
Supernova.io
✓ verifiedFreemium
Design-system platform that packages tokens, code components, and rules into scoped context for AI coding agents.
93K visits/mo
Pricing
No public pricing
Free: $0 (20,000 requests/mo)
Search: $7/1k requests
Contents: $1/1k pages
Deep Search: $12-15/1k requests
Monitors: $15/1k requests
Agent: $0.012-$1.00/run
Pro: $10/mo
Pro Plus: $20/mo
Pro Max: $40/mo
Pro: $35/mo per full seat (up to 15 seats, billed monthly)
Core features
- ✦Low-code CIAM identity layer
- ✦Authentication and authorization for SaaS apps
- ✦Self-service user and org management
- ✦Security across all product entry points
- ✦Agentic AI access layer (Agen.co)
- ✦Web search API tuned for agents
- ✦Full-page contents with token-efficient highlights
- ✦Asynchronous agents for deep research and enrichment
- ✦Structured outputs with grounded citations
- ✦Web monitors that track new events on a schedule
- ✦Zero data retention and SOC 2 Type II controls
- ✦Unified encrypted inference endpoint
- ✦Multi-agent parallel execution
- ✦CLI, IDE, and API access
- ✦App builder and remote coding agents
- ✦Chairman LLM output evaluation
- ✦35+ IDE integrations
- ✦Scoped MCP context distribution to multiple AI coding tools
- ✦Design token and component API management
- ✦Collaborative documentation with analytics
- ✦Figma and Storybook data source integration
- ✦Feedback loop for improving AI context quality
- ✦Skill and exporter management for agent capabilities
Use cases
- →Adding login and auth to a SaaS product
- →Managing customer users and organizations at scale
- →Securing multiple product entry points
- →Exposing a product safely to AI agents
- →Give coding agents current docs and repo context
- →Power chatbots with real-time web answers
- →Enrich company and people data at scale
- →Monitor the web for fresh events
- →Automating refactors, tests, and migrations
- →Running competing AI coding agents
- →Building apps from prompts
- →Integrating agents into CI/CD
- →Product teams giving AI coding agents accurate design-system context
- →Design system managers publishing a single source of truth
- →Engineering teams reducing token usage by scoping agent context per team
Visit