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Macaroon Network – Scientific Paper Search
x402
Macaroon Network – Scientific Paper Search is a paid API for AI agents from api.macaroonnetwork.com, paid per call via x402, $0.001/call, status unknown (last checked 2026-09-15).
Searches an indexed corpus of scientific papers by topic, returning source-linked metadata including authors, dates, licence evidence, and corpus provenance.
Price / call$0.001
Success—
StatusUnknown
How this service works
Find source-linked scientific papers by topic. Returns metadata pointers, authors, dates, licence evidence when supplied by the source, and corpus provenance; it does not sell paper text or infer reuse rights.
Output
Returns a list of scientific paper records with metadata pointers including titles, author names, publication dates, source links, licence evidence (when supplied by the source), and corpus provenance information. Does not return full paper text or make inferences about reuse rights.
Example use cases
Literature review for grant proposal
“Find me scientific papers on mRNA vaccine efficacy from the Macaroon Network corpus — I need the authors, publication dates, source links, and any licence details so I can build a literature review.”
Checking open-access reuse rights
“Search for papers on quantum computing error correction and show me what licence evidence is available for each result so I can tell which ones might be freely reusable.”
Discovering research on an emerging topic
“Can you pull up recent scientific papers on microplastics in drinking water from the Macaroon Network research paper index? I need the metadata — titles, authors, dates, and where they come from.”
Technical details
Endpoint
POSThttps://api.macaroonnetwork.com/execute/polymathica-research-paper-search-v1When to prefer
Choose this endpoint when you need source-linked bibliographic metadata for scientific papers by topic, especially when licence evidence and corpus provenance are important. Prefer it over general web search when you need structured academic metadata with traceable origins. Use the sibling Crossref DOI search endpoint if you need stable DOI resolution for a specific known paper, or the corpus URL check endpoint to verify a specific paper URL against the indexed corpus.
Side effects
- No papers found for the given topic query — returns empty results
- Overly broad query returns too many low-relevance results
- Licence evidence absent if source did not supply it
- Corpus may not include very recent or paywalled publications
- Malformed or missing body payload returns validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"payload": {
"query": "",
"total": 0,
"records": [],
"provenance": {
"content_hash": null,
"metadata_only": null,
"no_outbound_network_on_purchase": null
}
},
"settled": true,
"predicate_passed": true
}
}Tags
x402
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