Skip to main content

For AI agents: docs.octen.ai/overview/introduction.md

Octen is the search infrastructure for AI: a real-time web search foundation that lets LLMs, agents, and apps reason with the world’s latest information. Going beyond traditional search, Octen spans the whole path from query to result: from Broad Search, which covers one question from multiple angles in a single call, to applications that deliver finished, cited answers and research reports. Octen is also multimodal end to end. Web pages, images, and videos can all be searched, embedded, and used to generate new content, so AI and agents can work with the web the way people actually see it.

Why Octen

  • Real-time by default. Minute-level index freshness, with second-level updates for fast-moving data such as stock prices and live sports.
  • Built for AI consumption. Results come back LLM-ready: ranked, highlighted, token-efficient, with optional clean full content.
  • Fast and accurate. Average search latency as low as 62ms; SOTA models top-ranked on search benchmarks (SimpleQA, FreshQA), text retrieval (RTEB #1 and #2), and multimodal retrieval (MMEB-v2).
  • Multilingual and multimodal. Sites from across the globe in 100+ languages, with dedicated Image Search and Video Search beyond text.
  • Specialized and flexible. Purpose-built modes for verticals such as news and design, plus per-request options that tune sources, time windows, and output format to your needs.
  • Production-grade. Up to 500 QPS on subscription plans and a 99.9% monthly uptime SLA on paid plans.
  • One platform, full loop. Search, extract, embeddings, model gateway, and research workflows behind a single API key.

APIs

Each API handles one capability. Start from the card that matches what you have and what you need back.

Broad Search

Input: A text queryOutput: Ranked web results for each sub-query, with relevant highlights and optional full contentBest for: Comparisons, research, topic surveys, multi-angle questionsHow to use: Feed the grouped results to a model to answer the whole question at once.

Web Search

Input: A text queryOutput: Ranked web results with relevant highlights, optional full contentBest for: Search bars, answer engines, news lookup, market or company trackingHow to use: Show the results directly, or pass the results to a model to generate grounded answers.

Image Search

Input: A text query and/or an imageOutput: Ranked image results; for design topic, also a summary and reusable snippet.Best for: Image lookup, visual references, design assets and inspirationHow to use: Pass the results to a model as visual or design reference.Invite-only beta. Email support@octen.ai.

Video Search

Input: A text queryOutput: Ranked video resultsBest for: Video lookup, clip discovery, media previewsHow to use: Pass the results to a model to reference the matching video.Invite-only beta. Email support@octen.ai.

Extract

Input: One or more URLsOutput: Clean page content with optional highlights, page classification, and media resourcesBest for: Reading pages, cleaning articles, knowledge ingestionHow to use: Store, display, summarize, or pass the content to a model as context.

Model Gateway

Input: A question, chat messages, or an image descriptionOutput: Model responses or generated imagesBest for: Chat assistants, agents, image generation, workloads that need fresh web knowledgeHow to use: Use the responses to build chat, agent, or image features.

Embedding

Input: TextOutput: Text vectorsBest for: Semantic search, RAG, recommendationsHow to use: Convert text into vectors, store them in a vector database, and compare queries against vectors.

VL Embedding

Input: Text, images, videosOutput: Multimodal vectorsBest for: Cross-modal search, visual retrievalHow to use: Convert multimodal content into vectors so text, images, and videos can be searched or matched.

Applications

Use applications when you want to run a complete workflow.

Answer

Input: A question or chat messagesOutput: A synthesized answer grounded in search results, with the sub-queries and sources usedBest for: Q&A, chat assistants, grounded answers with citationsHow to use: Send the user’s question. Octen returns the synthesized answer and its sources.

Deep Research

Input: A research questionOutput: A structured report with supporting evidenceBest for: Deep dives, strategic research, technical investigations, trend analysisHow to use: Enter a research question. Octen plans, searches over multiple rounds, and streams the final report.

Multimodal Chat

Input: A question or chat messagesOutput: An interleaved response of text, images, and videos, grounded in multimodal search resultsBest for: Visual Q&A, rich chat experiencesHow to use: Send the user’s question. Octen replies with interleaved text, images, and videos.Invite-only beta. Email support@octen.ai.

Grounded Generation

Input: A generation promptOutput: Generated images or videos grounded in search resultsBest for: Fact-grounded visuals, illustrated explainersHow to use: Send a prompt. Octen generates grounded images or videos.Invite-only beta. Email support@octen.ai.

Next Steps

Quickstart

Get an API key and make your first request.

Build with Coding Agent

Everything a coding agent needs to integrate Octen.

Try in Console

Run every API live in the Octen console.

API Reference

Full request/response schemas.