— Use case

Live web intelligence for AI agents and RAG

Live web intelligence for AI agents and RAG Crawl, extract, and deliver structured web intelligence via API.

Start free API docs

Pain points

  • Agents hallucinate when training data is stale
  • Broad web search wastes tokens on irrelevant domains
  • No structured plan for which sites to read first

Architecture

  1. Seed a domain → GET /graph/domain-context
  2. Rank inbound/outbound/related domains
  3. GET /graph/top-pages for scrapable URLs
  4. POST /scrape → embed → answer with citations

Example output

{
  "seed_domain": "stripe.com",
  "context_for_ai": "8 strong referrers, 12 destinations...",
  "top_inbound_domains": [{ "domain": "ycombinator.com", "niche_score": 1.0 }]
}

FAQ

How fast can I start?

Sign up free, create an API key, and call /graph/domain-context or /scrape in minutes. See /docs for curl examples.

Is output AI-ready?

Yes — structured JSON, context_for_ai summaries, and link graphs designed for agents and RAG pipelines.