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WebLens Scholar Search API
x402
WebLens Scholar Search API is a paid API for AI agents from api.weblens.dev, paid per call via x402, $0.015/call, status unknown (last checked 2026-10-15).
Searches academic and scholarly literature, returning ranked results with citation counts, publication metadata, and snippets for a given query.
Price / call$0.015
Success—
StatusUnknown
How this service works
Google Scholar academic search. Returns papers with snippets, publication info, and citation counts.
Output
Returns a JSON array of ranked scholarly results, each containing the paper URL (e.g. arXiv link), title, citation count, a text snippet, position rank, and publication info (authors, venue, year), along with a request ID and timestamp for the search.
Example use cases
Literature review for research proposal
“Search academic papers on CRISPR gene editing and show me the most cited results with their publication info — I'm building a literature review.”
Competitive landscape in AI research
“Find the top scholarly papers on large language model fine-tuning techniques, ranked by citation count, so I can understand the current state of the field.”
Fact-checking a scientific claim
“Look up peer-reviewed papers on the link between sleep deprivation and cognitive performance and give me snippets and citations I can reference.”
Technical details
Endpoint
POSThttps://api.weblens.dev/search/scholar?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need structured academic search results with citation counts and publication metadata — particularly useful for literature reviews, research validation, or fact-checking scientific claims. Prefer it over general web search when scholarly provenance and citation signals matter, and when cost efficiency via caching (70% discount) is relevant for repeated queries on the same topic.
Side effects
- Query too vague returns low-relevance results
- No results found for highly niche or unpublished topics
- Rate limiting or payment failure via x402 protocol returns 402 status
- Stale cached response may not reflect latest publications
- Network timeout on fresh fetch of large result sets
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| limit | number | Maximum results to return |
| query | string | Search query |
Output
Schema · Response
{
"type": "json",
"example": {
"query": "transformer attention mechanisms",
"results": [
{
"url": "https://arxiv.org/abs/1706.03762",
"title": "Attention Is All You Need",
"citedBy": 130000,
"snippet": "The dominant sequence transduction models...",
"position": 1,
"publicationInfo": "A Vaswani, N Shazeer - NeurIPS, 2017"
}
],
"requestId": "req_scholar123",
"searchedAt": "2026-07-25T12:00:00.000Z"
}
}Tags
x402
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