About This Site
Real-time search and retrieval infrastructure for AI applications Octen is a real-time search infrastructure and API built for AI agents, copilots, chatbots, and large language models. It decomposes questions into multiple sub-queries, executes them concurrently, and returns structured web results with low latency. Octen provides real-time indexing, web search, image and video search, URL extraction, text and multimodal embeddings, and model access through a unified API. It is designed to help AI systems access fresh web information, improve retrieval accuracy, reduce hallucinations, and ground generated answers in current sources.
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Key Features AI
Core Features
Concurrent multi-query web search for AI agents
Real-time web indexing with sub-100ms retrieval latency
Web, image, and video search across live content
Clean URL-to-markdown extraction with page classification and highlights
Text and multimodal embedding models for retrieval
Unified model gateway with Octen Search integration
API, SDK, MCP, Skills, and CLI integrations
High-throughput infrastructure supporting over 1,000,000 queries per second per account
Advantages
Designed specifically for AI agents and LLM workflows
Very low reported latency, with results returned in milliseconds
Supports concurrent sub-query execution for complex questions
Real-time indexing helps provide fresh web information
Offers web, image, video, extraction, and embedding capabilities
High throughput and enterprise-oriented reliability
Provides integrations through API, SDKs, MCP, Skills, and CLI
Reportedly strong performance on SimpleQA, FreshQA, RTEB, and MMEB-v2 benchmarks
缺点：Pricing information is limited to a usage-based rate rather than detailed packages
缺点：An account and API key are required for production use
缺点：Some multimodal and advanced features are listed as early access
缺点：The service is primarily designed for developers rather than nontechnical users
缺点：Benchmark results and performance claims may require independent validation
缺点：Usage costs can increase with high-volume search and retrieval workloads
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