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Low-code customer identity and access management (CIAM) platform handling authentication and user management for SaaS apps.
Search, crawling and research API built for AI agents, with token-efficient results and structured web-data enrichment.
Managed ClickHouse platform giving developers hosted ingestion and query APIs to ship real-time analytics products fast.
AI-powered code editor with agentic workflows for developers.
Side-by-side arena to compare AI coding models and build multi-file apps, with a public leaderboard and battle mode.
No public pricing
No public pricing
No public pricing
- ✦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
- ✦Managed, hosted ClickHouse database
- ✦Sub-second SQL query APIs
- ✦Kafka and other data connectors
- ✦Safe, zero-downtime schema migrations
- ✦Git-based branching with zero-copy prod data
- ✦SOC 2 Type II enterprise security
- ✦AI-powered code completion and suggestions
- ✦Automated lint fixing
- ✦Cascade agent for advanced coding assistance
- ✦Integrated app building and deployment
- ✦MCP server support for custom tools
- ✦Terminal command integration
- ✦Memory of codebase structure and workflow
- ✦Head-to-head model comparison
- ✦Battle mode matchups
- ✦Public model leaderboard
- ✦Multi-file app generation
- ✦File uploads as input
- →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
- →Building real-time analytics dashboards
- →Powering in-app usage or event analytics
- →Streaming Kafka topics into query-ready tables
- →Letting AI coding agents build and deploy analytics
- →Accelerating software development by automating repetitive tasks
- →Reducing onboarding time for new developers
- →Improving code quality and reducing tech debt
- →Streamlining the app building and deployment process
- →Enhancing developer productivity by keeping them in a state of flow
- →Choosing the best coding model
- →Benchmarking AI code quality
- →Prototyping small apps