Our crawl. Our index.
Search built from the source, with no dependency on another provider's results or licensing terms. Coverage, ranking and retrieval stay under ASI's control.
ASI · AGENT SEARCH INDEX
Web search.
Built for AI agents.
The independent search API for the open web.
An independently crawled, English-language web index.
Clean, structured results that take your agents from a question to the source.
01 / THE INDEX
A world of information.
A source of your own.
Good answers begin with good retrieval. ASI crawls and indexes the open web itself, giving your agents a direct, dependable path to the information they need.
One web. One language.
The breadth of the open web, with a deliberate focus on English. Consistent language keeps relevance and ranking clear across topics and domains.
Results you can trace.
Reproducible results make agent workflows testable and answers checkable. A transparent ranking approach, without silent overnight reshuffling.
The open webasi. Independent index Your agent
02 / WEB SEARCH API
Less noise.
More signal.
A lightweight HTTP interface brings web search into your tool chains and retrieval pipelines. Every result arrives as structured data, ready for an agent to use.
Use ASI for agent research, source discovery and retrieval-augmented generation (RAG). Titles, links and snippets give your workflow the context it needs to select and cite sources.
No ads to remove. No page layouts to untangle. Just the fields that turn a search result into a useful, attributable source.
- title + URL
- Identify the page. Go to the source.
- snippet
- Find the relevant context at a glance.
- source + date
- Understand where and when.
A SEARCH, SIMPLIFIEDIllustrative example
how do forests store carbonEN
RESULT 01
How forests capture and store carbon
https://example.org/forests-and-carbon
Forests absorb carbon dioxide through photosynthesis, storing carbon in trees, roots and soil. These stores play a role in the global carbon cycle.
{
"title": "How forests capture and store carbon",
"url": "https://example.org/forests-and-carbon",
"snippet": "Forests absorb carbon dioxide through photosynthesis, storing carbon in trees, roots and soil. These stores play a role in the global carbon cycle.",
"source": "Example Journal",
"date": "2026-09-18"
}03 / THE ROAD AHEAD
Built for agents.
Growing with them.
HTTP search is the foundation. The next step is a more capable, more autonomous way for agents to explore the web.
What we're building toward01
Semantic search
PlannedEmbedding-based retrieval to find relevant information by meaning, beyond matching keywords.
02
Native MCP access
PlannedA direct connection through the Model Context Protocol, making ASI a tool your agents can call.
03
Pay per query with x402
PlannedMachine-to-machine payments for individual searches. Let agents research independently, without a preconfigured account.
04 / A CONSIDERATE CRAWLER
An open web.
A respectful approach.
A useful index starts with respect for the people who publish. ASI is built to work with the web and the boundaries set by site owners.
Site owners set the boundaries.
We respect robots.txt, rate limits and opt-out requests throughout the crawl.
Sources stay at the source.
Results share titles, links and snippets with attribution and dates. Full page text is never redistributed.
A CLEARER VIEW STARTS HERE
Give your agents
room to explore.
Building with web retrieval? Let's talk about ASI
and where it fits into your workflow.