Firecrawl Research Index
A specialized index that equips research agents with advanced tools for exploring scientific literature and code history.
FreemiumResearch & Data
Visit website Free to browse · updated 2026-06-19
What is Firecrawl Research Index?
The service offers dedicated endpoints for searching papers by topic or method, retrieving canonical metadata using paper identifiers, and extracting relevant full-text passages that address specific questions. Agents can expand from seed papers to find similar works, citations, or references while applying optional filters such as authors, categories, and date ranges. Additional capabilities include searching GitHub issues, pull requests, and READMEs to uncover engineering notes and prior art. Integration is recommended through the provided CLI or MCP server combined with a dedicated research skill for streamlined access. This index is designed specifically for scientific and engineering research workflows, allowing agents to verify methods, datasets, and results directly from source materials before incorporation into broader analyses.
Key features
Search papers with natural-language queries returning ranked results with metadata and scores
Inspect canonical paper metadata and source IDs via paperId
Read top full-text passages from a paper matching a specific question
Find related papers through semantic expansion in modes similar, citers, or references
Search GitHub issues, PRs, discussions, and READMEs for implementation details
Support optional filters including authors, categories, and date ranges
Access via dedicated API endpoints, CLI, or MCP server
What you can use Firecrawl Research Index for
Discover Relevant Research Papers
Search paper abstracts using natural-language queries to retrieve ranked results including canonical paperId, title, abstract, and scores, with optional filters for authors, categories, and date ranges.
Verify Specific Details in Papers
Read top full-text passages from a chosen paper that match a targeted question, helping confirm methods, datasets, or results before citing the work.
Trace Related Work and Implementations
Expand from seed papers using similar, citers, or references modes, and search GitHub issues, PRs, discussions, and READMEs for engineering details and code examples.
How to use Firecrawl Research Index
- 1Install the research skill with npx skills add firecrawl/skills@firecrawl-research-index
- 2Select the desired endpoint such as search or similar
- 3Craft a natural-language query and add any filters
- 4Submit the request via API, CLI, or MCP
- 5Review ranked results, passages, or related papers
Firecrawl Research Index pricing
Pricing model: Freemium. Plan details are indicative — check the site for current prices.
Free
Free
- No credit card needed
- Start for free
- Higher rate limits with API key
Paid
PopularCustom/mo
- See our plans
Editor's verdict
Pros
- +Purpose-built index for scientific and engineering research agents
- +Free tier available with no credit card required
Cons
- –Higher rate limits require API key
- –Pricing documentation unavailable (404)
Our take: Firecrawl Research Index is a solid research & data choice. It's valued for purpose-built index for scientific and engineering research agents and free tier available with no credit card required. The main trade-off is higher rate limits require api key. A good pick if you want capable AI without a high upfront cost.
Frequently asked questions
Use the GET /search/research/papers endpoint with a natural-language query parameter and optional k value to receive ranked results with metadata.
Summary
Firecrawl Research Index is a solid research & data choice. It's valued for purpose-built index for scientific and engineering research agents and free tier available with no credit card required. The main trade-off is higher rate limits require api key. A good pick if you want capable AI without a high upfront cost.
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