Give your AI app a clean, cited view of the live web.
Ohsee turns live web pages into clean, ranked, agent-ready context so your product can search, read, cite, and act on current information without maintaining a scraping pipeline.
AI agents need the web. The web is messy.
Search APIs return links. Scrapers return noise. Your team still has to clean pages, rank passages, manage citations, handle failures, and track usage.
Ohsee packages that work behind one developer-friendly API.
From live web pages to usable AI context.
Search
Find relevant web content and return ranked, cited passages.
Extract
Turn known URLs into clean markdown, text, or structured output.
Structure
Convert messy pages into predictable JSON for your app.
Research
Create deeper cited summaries, comparisons, and reports.
Crawl
Read websites, docs, and help centers at scale.
Monitor
Track topics, URLs, domains, and changes over time.
In practice
Ask a question. Get ranked sources and clean passages.
No scraping stack, no HTML cleanup, no ranking pipeline to maintain: just usable context your product can cite and act on.
MCP uses OAuth 2.1 for authorization. Clients obtain a token from the auth server and pass it as a Bearer credential on every request; servers validate scope before exposing tools or resources.
Built for AI products that need current information.
AI agents
Give agents a reliable web tool that returns usable context, not just links.
RAG apps
Add fresh public web content to your retrieval pipeline.
Research tools
Generate cited answers, comparisons, summaries, and timelines.
Competitor monitoring
Track pricing pages, launches, changelogs, and market movement.
Enrichment workflows
Pull structured information from company pages, listings, and public sources.
Simple usage-based credits.
Every Ohsee action uses credits: searches, extractions, structured outputs, research runs, crawls, and monitor checks.
Estimate before larger runs, and see credits charged in your dashboard.
See pricing