Scholarly Paper Search via Crossref (150M+ Records) is a paid API for AI agents from twin.unykorn.org, paid per call via x402, $0.003/call, status unknown (last checked 2026-10-01).
Searches over 150 million scholarly papers indexed in Crossref by keyword query, with optional result limit and year filter.
Scholarly paper search across 150M+ Crossref records — Genesis402 / UnyKorn Operator Network
Returns a list of matching scholarly paper records from Crossref, each typically including title, authors, journal or venue, DOI, publication year, and available abstract or citation metadata, up to the specified limit (default 10, max 40).
POSThttps://twin.unykorn.org/research/paper-search?utm_source=zero.xyzChoose this endpoint when you need broad keyword-based discovery across 150M+ scholarly records indexed by Crossref, especially when you don't already have a DOI and want to explore a topic. Prefer it over DOI lookup (which requires an exact DOI) or Google Scholar scraping (which may lack structured metadata). Ideal for literature reviews, research scoping, and academic background research where structured citation metadata is needed.
| Field | Type | Description |
|---|---|---|
| params | object |
{
"type": "json",
"example": {
"ok": true,
"type": "crossref-search",
"receipt": {
"tx_hash": "0x<64hex>",
"amount_usd": 0.003,
"receipt_id": "g402-<16hex>"
},
"sources": [
{
"ok": true,
"name": "<source>"
}
],
"limitations": "<text>",
"generated_at": "<iso time>",
"evidence_hash": "sha256:<64hex>"
}
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