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Macaroon Network Crossref Research Paper Metadata Search
x402
Macaroon Network Crossref Research Paper Metadata Search is a paid API for AI agents from api.macaroonnetwork.com, paid per call via x402, $0.002/call, status unknown (last checked 2026-09-15).
Search a bounded Crossref snapshot to retrieve DOI metadata, source provenance, and linked-work rights fields for academic research papers.
Price / call$0.002
Success—
StatusUnknown
How this service works
Search a bounded Crossref snapshot for research-paper DOI metadata with stable DOI links, source provenance and conservative linked-work rights fields. Returns metadata only and excludes abstracts and full text.
Output
Returns structured bibliographic metadata for matching research papers from the Crossref snapshot, including stable DOI links, paper title, author list, journal name, publication date, source provenance, and conservative linked-work rights fields. Abstracts and full text are not included.
Example use cases
Citation metadata for literature review
“I'm writing a literature review on transformer neural networks — can you search Crossref for key papers on that topic and pull back the DOIs, author lists, journal names, and publication dates so I can build my reference list?”
Verify DOI and rights before reuse
“I want to reuse a figure from a paper titled 'Attention Is All You Need' by Vaswani et al. — can you look up its Crossref metadata to get the stable DOI link and check what the linked-work rights fields say?”
Find papers by a specific author
“Can you search Crossref for all research papers by Geoffrey Hinton and return the DOIs, titles, and publication years? I need the source provenance info too.”
Technical details
Endpoint
POSThttps://api.macaroonnetwork.com/execute/crossref-research-paper-metadata-v1When to prefer
Choose this endpoint when you need structured DOI metadata, provenance, and rights fields for academic papers sourced from Crossref, especially when you want stable DOI links without needing abstracts or full text. Prefer it over general web search when you need machine-readable bibliographic data for citation, rights-checking, or research discovery workflows.
Side effects
- Query matches no papers in the bounded snapshot — returns empty results
- Query is too broad and returns truncated or low-relevance results
- DOI metadata is incomplete in the Crossref snapshot for older or obscure papers
- Snapshot may be outdated and not reflect the very latest publications
- Malformed or missing required input body fields return a validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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