Firecrawl is an AI research tool by Mendable that searches academic papers, extracts relevant passages, finds related work, and explores associated GitHub repositories.

How does Firecrawl find relevant research?

It uses AI to search academic databases, read and summarize key passages from papers, and identify related work and linked GitHub repositories.

Can Firecrawl access GitHub repositories?

Yes, it automatically finds and explores GitHub repositories associated with the research papers it retrieves.

Is Firecrawl free to use?

Firecrawl offers a free tier with limited usage; paid plans are available for higher limits and additional features.

What types of papers does Firecrawl search?

It searches academic papers across multiple disciplines, focusing on those available in open-access databases and preprint servers.

How accurate is Firecrawl's summarization?

Firecrawl uses advanced NLP models to provide concise and accurate summaries, but users should verify critical details against the original papers.

Firecrawl - AI AI Search tools - Free trial, pricing intro, performance review, official site access and online experience

What is Firecrawl?

Firecrawl Research is a purpose-built index for scientific and engineering research agents. It exposes a research-specific toolset for searching papers, inspecting paper metadata, reading relevant full-text passages, discovering related papers through structural expansion, and searching over research-related GitHub repos. Users can find papers by topic, method, benchmark, author, or category, and then inspect canonical paper metadata and source IDs. The tool also allows reading the passages in one paper that answer a specific question, and expanding from strong seed papers to related papers, citers, or references. Additionally, it enables searching GitHub history and READMEs for implementation notes, bugs, and design discussions.

Application scenarios

Literature review
Search paper abstracts with natural-language queries to find ranked papers by topic, method, or benchmark.
Paper verification
Read top full-text passages from a candidate paper to verify whether it contains a specific method, dataset, constraint, or result.
Related work discovery
Expand from one or more seed papers through semantic expansion to find related papers, citers, or references.
Implementation research
Search GitHub history and READMEs for implementation notes, bugs, and design discussions related to a paper.
Research agent integration
Give your agent access to the Research Index using the CLI or MCP, combined with the dedicated research skill.

Core Features

Search papers
Query paper abstracts with natural language and get ranked results with canonical paperId, title, abstract, score, and optional filters like authors, categories, and date ranges.
Inspect a paper
Retrieve canonical paper metadata and source IDs using a paperId or source-specific primaryId.
Read paper passages
Add a query to the paper path to retrieve the top full-text passages that answer a specific question about the paper.
Find related papers
Expand from seed papers using semantic expansion and rank candidates against a natural-language intent, with modes like similar or co-.
Search GitHub
Search GitHub history and READMEs for implementation notes, bugs, and design discussions.
Research skill installation
Install the dedicated research skill with `npx skills add firecrawl/skills@firecrawl-research-index` for agent access.
No API key needed to start
Use the API without an API key for initial testing, or add an Authorization header for higher rate limits.

Target users

Firecrawl is designed for researchers, engineers, and AI agents that need to systematically search and analyze scientific and engineering literature. It's particularly useful for those conducting literature reviews, verifying paper claims, discovering related work, or investigating GitHub implementations. The tool is also well-suited for developers building research automation pipelines.

How to use Firecrawl?

Start by accessing the API endpoints directly—no API key is needed to get started. Use the search endpoint (GET /search/research/papers) with a natural-language query to find papers. Inspect a specific paper with GET /search/research/papers/{id} using a canonical paperId or source-specific primaryId. To read relevant passages, add a query parameter to the same paper path. For related papers, use GET /search/research/papers/{id}/similar with an intent and mode. For GitHub searches, use GET /search/research/github. For agent integration, install the research skill via npx skills add firecrawl/skills@firecrawl-research-index and use the CLI or MCP.

Pricing and free trial

No pricing or free trial information is provided in the website text.

Effect review

Firecrawl delivers a focused, API-first approach to research that eliminates the friction of manually sifting through papers. The ability to search, inspect, and read passages in a single workflow makes it practical for verifying claims before including a paper in a review. The related paper expansion feature, combined with GitHub search, adds a layer of depth that most academic search tools lack. For researchers and engineers building automated literature analysis pipelines, this tool offers a clean, purpose-built index that gets straight to the point.

Firecrawl