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
Liner Developers is an AI search and research API for adding web search, grounded answers, and deep research into your product. It supports structured retrieval, scholarly search, and streaming citation-rich reports.
AI search and research API for developers
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.
Core capabilities
Multi-step research workflows
Offers a deep research endpoint that performs iterative retrieval and reasoning, then streams a citation-rich report over Server-Sent Events.
Cited answers in one request
Provides a search agent endpoint that generates grounded answers with citations in a single request for quick AI search integrations.
Fast answer mode
Supports a quick answer agent for concise, real-time responses when high traffic or lower-latency output is the priority.
Scholar-focused retrieval
Includes scholar search metadata such as citation counts, authors, and journal information for academic use cases.
API-first access
Uses an x-api-key header for authentication and exposes clear endpoint definitions for backend integration.
Where it fits
Build on top of your own answer layer
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.
Ship cited answers quickly
Use the AI Search API when you need a single request to produce a grounded answer with citations for a customer-facing search experience.
Generate in-depth research reports
Use the Deep Research API for analyst-style questions that benefit from iterative retrieval, reasoning traces, and a long-form report format.
Research scholarly sources
Use scholar mode when your workflow needs academic metadata such as citation counts, authors, and journal names.
Handle fast, high-volume queries
Use the quick-answer path when you need concise responses with lower latency for high-traffic products.
Pros and Cons
Pros
- Offers multiple developer-facing API paths, from raw search to cited answers and deep research.
- Returns structured outputs that are easier to consume in downstream applications.
- Supports both web and scholarly search.
- Provides streaming deep research for long-form, citation-rich reports.
- Documents authentication, request formats, and example payloads for integration.
Cons
- Pricing details are limited to the broader Liner product plans; the developer pages do not publish a separate API price card here.
- The pages do not list a comprehensive catalog of external integrations or data connectors.
- Some implementation details are split across docs pages, so readers need to review the specific endpoint docs to choose the right workflow.
FAQ
How does Liner provide citations in its API responses?
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.
What is the difference between Search API and Deep Research API?
The Search API supports web and scholar retrieval modes, and the Deep Research API is designed for longer, multi-step research with streaming reports.
Does the API return streamed results or standard JSON?
The Search API offers web and scholar endpoints with plain JSON responses, while the Deep Research API streams structured events over Server-Sent Events.
Are there team or enterprise plans available?
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.
What integrations or data sources are supported?
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.
Quick Facts
- Category
- Developer Tool
- Product type
- AI search and research API
- Primary endpoints
- Search API, AI Search API, Quick Answer Agent API, Deep Research Agent API, Visual Answer Agent API
- Data modes
- Web search and scholar search
- Auth
- x-api-key header
- Pricing
- Free, Pro, Max, Team, and Enterprise plans are listed on the pricing page
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