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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.
Open-source data-movement platform now adding a context/action layer for AI agents; 600+ connectors and flexible pricing.
Real-time voice, video, chat, and conversational-AI SDKs/APIs for developers building interactive communication features into apps.
Human-friendly API testing client for terminal, desktop and web, known for readable syntax; the CLI is open source.
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- ✦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
- ✦600+ data connectors
- ✦ELT replication and CDC
- ✦Open-source and managed cloud options
- ✦Airbyte Agents context store (MCP/SDK/CLI)
- ✦Capacity- and volume-based pricing
- ✦Governance: SSO, RBAC, encryption
- ✦Video and voice call SDKs
- ✦Live streaming SDK for interactive broadcasts
- ✦In-app chat API
- ✦Cloud recording of audio/video streams
- ✦AI face effects and digital-human generation
- ✦Conversational AI agent building tools
- ✦20+ pre-built UIKits for rapid app development
- ✦Real-time cloud speech transcription
- ✦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
- →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 data pipelines to warehouses
- →Syncing SaaS data for analytics
- →Giving AI agents live business context
- →App developers adding live video or voice chat
- →Social and dating apps needing engagement features
- →Telehealth platforms requiring secure video calls
- →E-commerce brands adding live-streaming shopping
- →Education platforms needing interactive whiteboards
- →Testing REST APIs
- →Sending and inspecting HTTP requests
- →Debugging web services
- →Sharing API requests across a team
