Structured search results
Returns structured web or scholar results with titles, snippets, URLs, and publication dates so developers can plug retrieval into their own LLM or RAG pipelines.
Liner Developers is an AI search and research API for adding web search, grounded answers, and deep research to your product. Supports structured retrieval, scholarly search, and citation-rich streaming reports.
Liner Developers is an AI search API platform for teams that want to add search, grounded answers, and deep research into their own products. The developer docs split the API into search, search-agent, quick-answer, visual-answer, and deep-research paths, so builders can choose between raw retrieval, cited answers, or longer research reports.
The Search API returns structured web or scholar results in JSON, while the AI Search API and Deep Research API add generated answers with citations. The docs describe the deep-research endpoint as a streaming, multi-step research pipeline over Server-Sent Events, and the homepage positions the platform as accurate, fast, and cost-conscious for search integration.
Returns structured web or scholar results with titles, snippets, URLs, and publication dates so developers can plug retrieval into their own LLM or RAG pipelines.
Offers a deep research endpoint that performs iterative retrieval and reasoning, then streams a citation-rich report over Server-Sent Events.
Provides a search agent endpoint that generates grounded answers with citations in a single request for quick AI search integrations.
Supports a quick answer agent for concise, real-time responses when high traffic or lower-latency output is the priority.
Includes scholar search metadata such as citation counts, authors, and journal information for academic use cases.
Uses an x-api-key header for authentication and exposes clear endpoint definitions for backend integration.
Use the Search API when you want ranked web or scholarly results to feed your own LLM, RAG, or agent pipeline without generating answers inside Liner.
Use the AI Search API when you need a single request to produce a grounded answer with citations for a customer-facing search experience.
Use the Deep Research API for analyst-style questions that benefit from iterative retrieval, reasoning traces, and a long-form report format.
Use scholar mode when your workflow needs academic metadata such as citation counts, authors, and journal names.
Use the quick-answer path when you need concise responses with lower latency for high-traffic products.
The API provides answers with citations, and the docs describe citation metadata as part of the response so claims can be traced back to sources.
The Search API supports web and scholar retrieval modes, and the Deep Research API is designed for longer, multi-step research with streaming reports.
The Search API offers web and scholar endpoints with plain JSON responses, while the Deep Research API streams structured events over Server-Sent Events.
The pricing page shows free, Pro, Max, Team, and Enterprise options for the broader Liner product suite, with Team and Enterprise available for organizations that need centralized management and governance.
The public docs and pricing page describe web search, scholar search, and research agents, but they do not provide a full list of third-party integrations or supported external data connectors on these pages.
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