skills/literature/search/openaire-api/SKILL.md
Search EU-funded research outputs via the OpenAIRE Graph API
npx skillsauth add wentorai/research-plugins openaire-apiInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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OpenAIRE is the European Open Science infrastructure providing programmatic access to millions of research outputs — publications, datasets, software, and other research products — linked to EU-funded projects, organizations, and researchers. The Graph API is free, requires no authentication, and returns JSON or XML. Uniquely valuable for discovering EU/Horizon-funded research and tracing connections between research outputs, projects, and institutions.
https://api.openaire.eu
# Search by keywords
curl "https://api.openaire.eu/search/publications?keywords=climate+change+adaptation&format=json&size=10"
# Filter by open access
curl "https://api.openaire.eu/search/publications?keywords=machine+learning&openaccessonly=true&format=json"
# Filter by date
curl "https://api.openaire.eu/search/publications?keywords=CRISPR&fromDateAccepted=2023-01-01&toDateAccepted=2026-12-31&format=json"
# Filter by EU project
curl "https://api.openaire.eu/search/publications?projectID=corda__h2020::123456&format=json"
# Search by DOI
curl "https://api.openaire.eu/search/publications?doi=10.1038/s41586-023-05881-4&format=json"
# Find research datasets
curl "https://api.openaire.eu/search/datasets?keywords=genomics+sequencing&format=json&size=20"
# Open access datasets only
curl "https://api.openaire.eu/search/datasets?keywords=ocean+temperature&openaccessonly=true&format=json"
# Search EU-funded projects
curl "https://api.openaire.eu/search/projects?keywords=artificial+intelligence&funder=EC&format=json"
# Horizon 2020 projects
curl "https://api.openaire.eu/search/projects?keywords=renewable+energy&fundingStream=H2020&format=json"
# Horizon Europe projects
curl "https://api.openaire.eu/search/projects?keywords=quantum+computing&fundingStream=HE&format=json"
| Parameter | Description | Example |
|-----------|-------------|---------|
| keywords | Free-text search | keywords=deep+learning |
| doi | Search by DOI | doi=10.1234/example |
| openaccessonly | Open access filter | openaccessonly=true |
| fromDateAccepted | Start date | fromDateAccepted=2023-01-01 |
| toDateAccepted | End date | toDateAccepted=2026-12-31 |
| funder | Funding agency | funder=EC (European Commission) |
| fundingStream | Funding program | fundingStream=H2020 |
| format | Response format | format=json or format=xml |
| size | Results per page | size=50 (max 100) |
| page | Page number | page=2 |
| sortBy | Sort order | sortBy=resultdateofacceptance,descending |
import requests
BASE_URL = "https://api.openaire.eu"
def search_publications(keywords: str, open_access: bool = False,
from_date: str = None, size: int = 20) -> list:
"""Search OpenAIRE publications."""
params = {
"keywords": keywords,
"format": "json",
"size": size
}
if open_access:
params["openaccessonly"] = "true"
if from_date:
params["fromDateAccepted"] = from_date
resp = requests.get(f"{BASE_URL}/search/publications", params=params)
resp.raise_for_status()
data = resp.json()
results = []
for item in data.get("response", {}).get("results", {}).get("result", []):
metadata = item.get("metadata", {}).get("oaf:entity", {}).get("oaf:result", {})
title = metadata.get("title", {})
if isinstance(title, dict):
title = title.get("$", "")
results.append({
"title": title,
"doi": metadata.get("pid", [{}])[0].get("$", "") if metadata.get("pid") else None,
"date": metadata.get("dateofacceptance", {}).get("$", ""),
"description": metadata.get("description", {}).get("$", "")[:300] if metadata.get("description") else None
})
return results
# Example: find recent open access papers on climate
pubs = search_publications("climate resilience urban", open_access=True, from_date="2024-01-01")
for p in pubs:
print(f"[{p['date']}] {p['title']}")
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