The Web Search API is currently in Closed Beta. Apply for early access →
Why is Web Search necessary for AI?
LLMs are trained on static datasets and cannot access information created after their training cutoff. This leads to hallucinations, outdated answers, and a gap between what the model knows and what the world is right now. Web search bridges this gap. By grounding LLM responses in real-time data, AI applications become more factual, current, and trustworthy. Whether it’s a chatbot answering current events, a research assistant finding the latest papers, or an autonomous agent making decisions based on live information, Web Search is the missing layer that makes AI production-ready.Key Capabilities
Fast
The industry’s lowest latency, with search responses lower than 100ms. Fast enough to keep pace with AI reasoning and agentic workflows.
Accurate
Powered by SOTA proprietary search models optimized for LLMs, delivering highly relevant results.
Up-to-Date
Ingested in seconds, updated in minutes — always current to capture what’s happening.
Stable
1T+ links indexed, 1M+ QPS supported. Enterprise reliability backed by experienced teams in large-scale search systems.
LLM-Native
LLM-first by design. Structured highlights, full content, and metadata optimized for direct model reasoning.
Domain-Optimized
Enhanced with domain-specific data and models, making it ideal for building vertical AI applications.
Using Web Search with LLMs and Agents
Octen Web Search interfaces LLM with the real world, delivering real-time context exactly when AI needs it. Here are some typical scenarios.Retrieval-Augmented Generation (RAG)
Ground LLM outputs in real-time web knowledge. Octen Web Search retrieves the most relevant content from 1T+ indexed links, ranked and structured for context injection, so LLMs reason over live sources rather than stale training data. This is ideal for building Q&A chatbots, customer support assistants, knowledge bases, and any application where answer accuracy matters.Deep Search & Research
Not every question has a single-source answer. For complex questions that require synthesizing information from multiple sources, Octen retrieves rich content across domains, enabling AI-powered research workflows where LLMs synthesize findings from dozens of sources into structured reports, competitive analyses, and literature reviews at machine speed.Agentic Tool Integration
Web search is the most fundamental tool in Agentic AI systems. Octen integrates natively with the modern agent stack including OpenAI function calling, Anthropic tool use, MCP servers, and beyond. Agents decide when real-time information is needed, call Octen autonomously, and weave the results into their reasoning. One endpoint, one tool definition. That’s all it takes for agents to access the world.Multi-Agent Workflows
In complex agentic architectures, multiple specialized agents collaborate to complete tasks. Octen serves as the shared retrieval layer: a planner agent decomposes questions into sub-queries, researcher agents execute targeted searches, and analyst agents synthesize the results. With sub-100ms latency, search never becomes the bottleneck.Get Started in 5 Minutes
Octen is designed to be the easiest search API to integrate. A clean API and native SDKs let agents and LLMs connect to the live world with just a few lines of code. And unlike traditional search engines that return titles and links for human browsers, Octen delivers ranked highlights, structured metadata, and full content ready for LLMs and agents. That means no scraping, no HTML parsing, no content extraction pipelines between the API response and applications. Check out the Quickstart to make your first call.Get Early Access
Octen Web Search is currently in Closed Beta. We’re onboarding an exclusive group of teams deploying production AI systems.Apply for Beta Access
Join the Closed Beta and start building with Octen today.
- Accelerated Deployment — Be the first to eliminate the lags and errors of unstable providers. Switch to Octen during Beta to instantly supercharge your production performance.
- Architectural Alignment — Co-Engineering Support. Work with our team to align Octen’s retrieval architecture with your specific agents for peak production performance.
- Developer Priority — Direct Engineering Channel. Skip the queue with a dedicated Slack/Discord channel for technical deep-dives and rapid integration troubleshooting.