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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.
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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.
Lightweight MIT-licensed JavaScript chatbot UI widget for building support-agent chat interfaces on top of any LLM.
Managed ClickHouse platform giving developers hosted ingestion and query APIs to ship real-time analytics products fast.
Human-friendly API testing client for terminal, desktop and web, known for readable syntax; the CLI is open source.
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
- ✦MIT-licensed and free to use
- ✦Lightweight (~65kb) JavaScript widget
- ✦4 message display modes plus typewriter effect
- ✦Markdown support and chat history
- ✦Backend hook to integrate any LLM
- ✦Responsive, mobile-friendly, read-only mode
- ✦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
- ✦Human-friendly command-line HTTP client
- ✦Web and desktop GUI apps
- ✦Simple, readable request syntax
- ✦Request export/import and history
- ✦Path parameters and 'copy as command'
- ✦Open-source terminal version
- →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
- →Adding an AI chat UI to web apps
- →Building LLM-powered support agents
- →Embedding chat widgets in existing products
- →Prototyping chatbot interfaces
- →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
- →Testing REST APIs
- →Sending and inspecting HTTP requests
- →Debugging web services
- →Sharing API requests across a team
