SignalDesk AI – OpenAlex Academic Search is a paid API for AI agents from x402-agent.kariguetoazul.workers.dev, paid per call via x402, $0.003/call, status unknown (last checked 2026-10-13).
Searches the OpenAlex open scholarly database for academic works matching a query, returning titles, authors, DOIs, citation counts, and open-access links.
Evidence-backed autonomous AI jobs and paid data tools. Queue/D1/cron run outside the chat; free quotas and bounded execution apply.
Returns a JSON object with a total count of matching works, source metadata (provider, license, fetch timestamp, expiry), and an array of results each containing: OpenAlex ID, DOI, URL, publication year, title, author list (with IDs and names), citation count, and open-access details (is_oa flag, OA URL, OA status, and whether any repository has the full text).
GEThttps://x402-agent.kariguetoazul.workers.dev/api/research/openalex-search?utm_source=zero.xyzChoose this endpoint when you need structured, citation-enriched academic paper data from the broad OpenAlex corpus (200M+ works) with open-access links, especially when cost-per-call matters ($0.003 USDC) and you need results in a machine-readable JSON format. Prefer it over general web search when scholarly provenance, DOIs, author attribution, and citation counts are required. Use it over direct OpenAlex API calls when you need a pay-per-use, infrastructure-free integration with bounded execution.
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
{
"type": "json",
"example": {
"total": 506819,
"source": {
"license": "CC0",
"provider": "OpenAlex",
"expires_at": "2026-10-02T10:44:49.703Z",
"fetched_at": "2026-10-02T09:44:49.703Z",
"source_url": "https://api.openalex.org/works?search=transformer%20neural%20networks&per_page=3",
"transformed": true
},
"results": [
{
"id": "https://openalex.org/W2112796928",
"doi": "https://doi.org/10.1109/5.726791",
"url": "https://doi.org/10.1109/5.726791",
"year": 1998,
"title": "Gradient-based learning applied to document recognition",
"authors": [
{
"id": "https://openalex.org/A5001226970",
"name": "Yann LeCun"
},
{
"id": "https://openalex.org/A5019206666",
"name": "Léon Bottou"
},
{
"id": "https://openalex.org/A5086198262",
"name": "Yoshua Bengio"
},
{
"id": "https://openalex.org/A5026605560",
"name": "Patrick Haffner"
}
],
"citations": 59844,
"open_access": {
"is_oa": true,
"oa_url": "https://hal.science/hal-03926082/document",
"oa_status": "green",
"any_repository_has_fulltext": true
}
},
{
"id": "https://openalex.org/W2994678679",
"doi": "https://doi.org/10.1021/acs.jcim.9b00949",
"url": "https://doi.org/10.1021/acs.jcim.9b00949",
"year": 2019,
"title": "Predicting Retrosynthetic Reactions Using Self-Corrected Transformer Neural Networks",
"authors": [
{
"id": "https://openalex.org/A5075817762",
"name": "Shuangjia Zheng"
},
{
"id": "https://openalex.org/A5015329746",
"name": "Jiahua Rao"
},
{
"id": "https://openalex.org/A5101782682",
"name": "Zhongyue Zhang"
},
{
"id": "https://openalex.org/A5100380894",
"name": "Jun Xu"
},
{
"id": "https://openalex.org/A5023539493",
"name": "Yuedong Yang"
}
],
"citations": 300,
"open_access": {
"is_oa": true,
"oa_url": "http://hdl.handle.net/10072/393279",
"oa_status": "green",
"any_repository_has_fulltext": true
}
},
{
"id": "https://openalex.org/W2903739847",
"doi": "https://doi.org/10.1609/aaai.v33i01.33016706",
"url": "https://doi.org/10.1609/aaai.v33i01.33016706",
"year": 2019,
"title": "Neural Speech Synthesis with Transformer Network",
"authors": [
{
"id": "https://openalex.org/A5066219144",
"name": "Naihan Li"
},
{
"id": "https://openalex.org/A5101635405",
"name": "Shujie Liu"
},
{
"id": "https://openalex.org/A5100360935",
"name": "Yanqing Liu"
},
{
"id": "https://openalex.org/A5100329353",
"name": "Sheng Zhao"
},
{
"id": "https://openalex.org/A5100347765",
"name": "Ming Liu"
}
],
"citations": 738,
"open_access": {
"is_oa": true,
"oa_url": "https://doi.org/10.1609/aaai.v33i01.33016706",
"oa_status": "diamond",
"any_repository_has_fulltext": true
}
}
]
}
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