Research Index

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, and discovering related papers through structural expansion. The index covers roughly 43 million paper abstracts. The majority of the corpus is biomedical and life sciences — PubMed, bioRxiv, and medRxiv — alongside arXiv for physics, mathematics, and computer science. Papers are addressable by their source ids, so pmid:, pmcid:, and doi: references work the same way arxiv: ones do.

Find papers by topic, method, benchmark, author, or category
Inspect canonical paper metadata and source ids
Read the passages in one paper that answer a specific question
Expand from strong seed papers to related papers, citers, or references

To give your agent access to the Research Index, we strongly recommend using our CLI or MCP, combined with our dedicated research skill, which you can install with:

npx skills add firecrawl/skills@firecrawl-research-index

How this relates to `/search`

Firecrawl has two things named “research”, and they are not the same feature:

	Research Index (this page)	`/search` with `categories: ["research"]`
What it searches	A paper index of ~43M abstracts — PubMed, bioRxiv, medRxiv, arXiv	The open web, restricted to ~14 academic websites (arxiv.org, nature.com, pubmed.ncbi.nlm.nih.gov, …)
What you get back	Ranked paper records: canonical `paperId`, `primaryId`, source ids, title, full abstract, score	Ordinary web results: URL, title, snippet
Can it read inside a paper	Yes — passage-level reads via `GET /search/research/papers/{id}`	No
Can it expand by citations	Yes — `GET /search/research/papers/{id}/similar`	No
Endpoint	`GET /search/research/papers`	`POST /search`

Use the Research Index when you are doing literature work: finding papers, reading them, and following citations. Use categories: ["research"] when you want ordinary web pages that happen to live on academic domains.

Endpoints

Task	Endpoint
Search papers	`GET /search/research/papers`
Inspect metadata or read passages	`GET /search/research/papers/{id}`
Find related papers	`GET /search/research/papers/{id}/similar`

Search papers

Search paper abstracts with a natural-language query. The response returns ranked papers with canonical paperId, preferred primaryId, source ids, title, abstract, score, and optional ranking signals.

# No API key needed to get started; add -H "Authorization: Bearer $FIRECRAWL_API_KEY" for higher rate limits:
curl -s "https://api.firecrawl.dev/v2/search/research/papers?query=diffusion%20image%20synthesis&k=20"

firecrawl research search-papers "diffusion image synthesis" --limit 20

from firecrawl import Firecrawl

firecrawl = Firecrawl(
  # No API key needed to get started; add one for higher rate limits:
  # api_key="fc-YOUR-API-KEY",
)

result = firecrawl.v2.search_papers("diffusion image synthesis", k=20)
print(result)

import { Firecrawl } from "firecrawl";

const firecrawl = new Firecrawl({
  // No API key needed to get started; add one for higher rate limits:
  // apiKey: "fc-YOUR-API-KEY",
});

const result = await firecrawl.research.searchPapers("diffusion image synthesis", {
  k: 20,
});
console.log(result);

Optional filters:

authors: author substring filter; all filters must match
categories: paper category filter, such as cs.LG
from: inclusive created/updated lower bound, YYYY-MM-DD
to: inclusive created/updated upper bound, YYYY-MM-DD

Biomedical example

Most of the index is life sciences, so clinical and molecular biology queries work the same way:

# No API key needed to get started; add -H "Authorization: Bearer $FIRECRAWL_API_KEY" for higher rate limits:
curl -s "https://api.firecrawl.dev/v2/search/research/papers?query=CRISPR%20base%20editing%20off-target%20effects%20in%20primary%20human%20T%20cells&k=20"

firecrawl research search-papers "CRISPR base editing off-target effects in primary human T cells" --limit 20

from firecrawl import Firecrawl

firecrawl = Firecrawl(
  # No API key needed to get started; add one for higher rate limits:
  # api_key="fc-YOUR-API-KEY",
)

result = firecrawl.v2.search_papers(
  "CRISPR base editing off-target effects in primary human T cells",
  k=20,
)
print(result)

import { Firecrawl } from "firecrawl";

const firecrawl = new Firecrawl({
  // No API key needed to get started; add one for higher rate limits:
  // apiKey: "fc-YOUR-API-KEY",
});

const result = await firecrawl.research.searchPapers(
  "CRISPR base editing off-target effects in primary human T cells",
  { k: 20 },
);
console.log(result);

Results carry a primaryId in whichever namespace the source uses, so biomedical hits come back as pmid:<id>, pmcid:<id>, or doi:<doi>. Feed that value straight back into the inspect, read, and related endpoints below.

Inspect a paper

Use a canonical paperId or a source-specific primaryId. Accepted primaryId forms are arxiv:<id>, pmid:<id>, pmcid:<id>, and doi:<doi> — for example curl -s ".../v2/search/research/papers/pmid:<id>" for a PubMed record.

# No API key needed to get started; add -H "Authorization: Bearer $FIRECRAWL_API_KEY" for higher rate limits:
curl -s "https://api.firecrawl.dev/v2/search/research/papers/arxiv:1706.03762"

firecrawl research inspect-paper arxiv:1706.03762

from firecrawl import Firecrawl

firecrawl = Firecrawl(
  # No API key needed to get started; add one for higher rate limits:
  # api_key="fc-YOUR-API-KEY",
)

paper = firecrawl.v2.inspect_paper("arxiv:1706.03762")
print(paper)

import { Firecrawl } from "firecrawl";

const firecrawl = new Firecrawl({
  // No API key needed to get started; add one for higher rate limits:
  // apiKey: "fc-YOUR-API-KEY",
});

const paper = await firecrawl.research.getPaper("arxiv:1706.03762");
console.log(paper);

Read paper passages

Add query to the same paper path to retrieve the top full-text passages for a question. This is useful for verifying whether a candidate paper actually contains a method, dataset, constraint, or result before you include it.

# No API key needed to get started; add -H "Authorization: Bearer $FIRECRAWL_API_KEY" for higher rate limits:
curl -s "https://api.firecrawl.dev/v2/search/research/papers/arxiv:1706.03762?query=what%20is%20the%20attention%20mechanism&k=4"

firecrawl research read-paper arxiv:1706.03762 --question "What is the attention mechanism?" --limit 4

from firecrawl import Firecrawl

firecrawl = Firecrawl(
  # No API key needed to get started; add one for higher rate limits:
  # api_key="fc-YOUR-API-KEY",
)

passages = firecrawl.v2.read_paper(
    "arxiv:1706.03762",
    "What is the attention mechanism?",
    k=4,
)
print(passages)

import { Firecrawl } from "firecrawl";

const firecrawl = new Firecrawl({
  // No API key needed to get started; add one for higher rate limits:
  // apiKey: "fc-YOUR-API-KEY",
});

const passages = await firecrawl.research.getPaper("arxiv:1706.03762", {
  query: "What is the attention mechanism?",
  k: 4,
});
console.log(passages);

Expand from one or more seed papers through semantic expansion and rank the candidates against a natural-language intent.

# No API key needed to get started; add -H "Authorization: Bearer $FIRECRAWL_API_KEY" for higher rate limits:
curl -s "https://api.firecrawl.dev/v2/search/research/papers/arxiv:1706.03762/similar?intent=efficient%20transformers&mode=similar&k=20"

firecrawl research related-papers arxiv:1706.03762 --intent "efficient transformers" --limit 20

from firecrawl import Firecrawl

firecrawl = Firecrawl(
  # No API key needed to get started; add one for higher rate limits:
  # api_key="fc-YOUR-API-KEY",
)

papers = firecrawl.v2.related_papers(
    "arxiv:1706.03762",
    "efficient transformers",
    mode="similar",
    k=20,
)
print(papers)

import { Firecrawl } from "firecrawl";

const firecrawl = new Firecrawl({
  // No API key needed to get started; add one for higher rate limits:
  // apiKey: "fc-YOUR-API-KEY",
});

const papers = await firecrawl.research.similarPapers("arxiv:1706.03762", {
  intent: "efficient transformers",
  mode: "similar",
  k: 20,
});
console.log(papers);

Modes:

similar: co-citation and bibliographic-coupling neighborhood
citers: papers that cite the seed
references: papers cited by the seed

Search GitHub history

Issues, merged pull requests, and repository READMEs now live in the Developer Index, which ranks them with the matched passages and adds curated documentation sources alongside them. Use GET or POST /search/developer, or /search with categories: ["developer"].

Get Started

Core Endpoints

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Quickstarts

Developer Guides

Webhooks

Use Cases

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Contributing

How this relates to `/search`

Endpoints

Search papers

Biomedical example

Inspect a paper

Read paper passages

Search GitHub history

​How this relates to /search

​Endpoints

​Search papers

​Biomedical example

​Inspect a paper

​Read paper passages

​Find related papers

​Search GitHub history

How this relates to `/search`

Endpoints

Search papers

Biomedical example

Inspect a paper

Read paper passages

Find related papers

Search GitHub history