AI search API for live-context agents

    AI Search API

    Get AI-generated summaries with source citations, fresh web data, and structured context your agent can trust.

    Start for freeView Documentation
    60%
    Cost savings
    AI
    Cited summaries
    < 500ms
    Response time
    99.9%
    Uptime

    AI answer preview

    Cited summaries without stitching search, crawl, and ranking yourself.

    POST/ai/search
    Agent query

    Summarize the latest funding news around decentralized AI networks.

    multi-source answer
    ranked citations
    fresh snippets
    cost metadata

    Response contract

    citations
    structured JSON
    cost metadata
    freshness signals

    See It In Action

    One API call returns AI-generated summaries with verified sources from across the web

    Request
    from desearch_py import Desearch

desearch = Desearch(api_key='your-api-key')

result = await desearch.ai_search(
    prompt="What is Bittensor?",
    tools=[
        "twitter",
        "web",
        "hackernews",
        "reddit"
    ],
    date_filter="PAST_24_HOURS",
)
    Response
    {
  "completion": {
    "search_summary": "Bittensor's (TAO token) is gaining attention as a decentralized protocol that incentivizes machine learning models through blockchain technology, enabling AI development and collaboration across a network of participants...",
    "key_sources": [
      {
        "text": "Bittensor (TAO): A comprehensive presentation",
        "url": "https://oakresearch.io/en/reports/protocols/bittensor"
      },
      {
        "text": "What Is Bittensor ($TAO)? Everything You Need to Know",
        "url": "https://coins.ph/academy/what-is-bittensor"
      }
    ]
  }
}

    Example Query

    AI Search

    Why Choose Desearch AI Search?

    More features, better pricing, decentralized reliability

    AI Summaries
    Desearch
    Included
    Other Providers
    Limited
    Source Citations
    Desearch
    Full Attribution
    Other Providers
    Varies
    Real-time Data
    Desearch
    Always Fresh
    Other Providers
    Delayed
    Multiple Sources
    Desearch
    Web, X, ArXiv, Hacker News, Reddit
    Other Providers
    Web Only
    Streaming Support
    Desearch
    Native SSE
    Other Providers
    Available
    Cost per 1000 items
    Desearch
    $0.40
    Other Providers
    $1.00+
    Rate Limits
    Desearch
    Generous
    Other Providers
    Restrictive
    Infrastructure
    Desearch
    256+ Providers
    Other Providers
    Centralized

    Savings Calculator

    10,000 items
    You save
    $6.00
    per month (60% less)
    Desearch: $4.00Others: $10.00
    Get StartedDiscuss on Discord

    Built for AI Applications

    Power your intelligent applications with real-time, summarized web data

    AI Assistants & Chatbots

    Build conversational AI that can answer questions with real-time, cited information from the web.

    Customer support botsVirtual research assistantsKnowledge workers

    Research & Analysis Tools

    Create tools that synthesize information from multiple sources with proper academic citations.

    Market researchCompetitive analysisTrend monitoring

    RAG Applications

    Enhance your Retrieval-Augmented Generation pipelines with fresh, summarized web content.

    Document Q&AKnowledge basesContent generation

    Content Creation

    Generate well-researched content with automatic fact-checking and source attribution.

    Blog writingReport generationNewsletter curation

    Conversational Search

    Build natural language search interfaces that understand context and provide direct answers.

    Enterprise searchProduct discoveryFAQ systems

    Educational Platforms

    Create learning tools that explain concepts with up-to-date information and references.

    Tutoring systemsStudy aidsCourse assistants

    Trusted by AI innovators worldwide

    Built for teams that need fresh web, social, crawl, and cited AI context in production workflows.

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    Frequently Asked Questions

    Everything you need to know about Desearch AI Search API

    Desearch AI Search combines real-time web data with AI-powered summarization. Instead of just returning links, you get intelligently synthesized answers with proper source citations. Our decentralized infrastructure also ensures higher reliability and lower costs.

    When you make an API call, we search across multiple sources (web, ArXiv, Hacker News, Reddit, etc.), then use advanced language models to synthesize the information into a coherent summary. Each claim is linked back to its source for verification.

    AI Search can query the general web, academic papers (ArXiv), Hacker News, Reddit, YouTube, Wikipedia, and more. You can specify which sources to include in each request using the 'tools' parameter.

    Yes! We support Server-Sent Events (SSE) for streaming responses. Set 'streaming': true in your request to receive the AI summary token by token as it's generated, providing a better user experience for real-time applications.

    Each search includes the full AI summarization, source retrieval, and citation generation. There are no hidden fees for AI processing or source access. You only pay for the searches you make.

    AI Search queries live data in real-time. Unlike some providers that rely on cached or indexed data, we fetch current information at the time of your request, ensuring you always get the latest results.

    Absolutely! AI Search is ideal for Retrieval-Augmented Generation. The structured response format with sources makes it easy to integrate into your RAG pipeline, and the AI summaries can serve as pre-processed context for your models.

    Free tier users get 100 requests per minute. Paid plans have higher limits based on your subscription level. For enterprise needs with custom rate limits, contact our sales team.

    The API returns standard HTTP status codes. We recommend implementing exponential backoff for rate limit errors (429). Our documentation includes code examples for proper error handling in Python, JavaScript, and other languages.

    Yes, we offer official SDKs for Python and JavaScript/TypeScript. These handle authentication, streaming, and error handling automatically. Check our documentation for installation and usage guides.
    Builder community

    Get closer to the search network.

    Join the channels that help you ship: API examples, hard-query feedback, product release notes, and conversations with the team building Desearch and Subnet 22.

    Join DiscordAPI quickstart

    Discord

    Implementation help, query feedback, and direct product discussion.

    Join Discord

    X (Twitter)

    Product releases, benchmark notes, and Bittensor ecosystem updates.

    Follow on X

    Telegram

    Release notes and community announcements in a lightweight channel.

    Open Telegram

    LinkedIn

    Company updates, partnerships, hiring, and product milestones.

    View LinkedIn
    Community proof

    Builders are already using Desearch for live agent context

    Real comments from users wiring Desearch into research, crypto analysis, and agent workflows.

    View all voices
    ExponentialReed
    ExponentialReed
    @ExponentialReed

    Totally agree with this, i just connected mine to Bittensor $TAO subnet 22 @desearch_ai with an API end point for X data to help me with subnet analysis and the results are getting where they should be. This could be used by anyone in crypto doing reporting and research and is an incredible opportunity based on pricing.

    Tweet attachment
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    CryptoZPunisher
    CryptoZPunisher
    @CryptoZPunisher

    SN22 is becoming an intelligence layer for agents. And behind agents… come predictions, then portfolio management. Revenue + aligned incentives. The market probably hasn't fully priced this yet.

    Tweet attachment
    43Reply
    Open
    Numinous AI
    Numinous AI
    @numinous_ai

    The forecasting environments just got richer. Starting this Thursday, miners can choose to take on the cost of news retrieval via @desearch_ai The cost limit will move from $0.02 to $0.1 - making our environments ready for heavy forecasting tasks. #SN6 #TAO

    53Reply
    Open
    vaNlabs
    vaNlabs
    @vaNlabs

    // Desearch integration complete crustty now has full social sentiment guidance and its integrated (weighted) in his subnet valuations. All thanks to Bittensor SN22 @desearch_ai Desearch vs. native X API below. I gave him both and asked to research @HermesSubnet, no bias.

    Tweet attachment
    28Reply
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