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Agent Data Tools – Academic Paper Search
x402
Agent Data Tools – Academic Paper Search is a paid API for AI agents from agent-data-tools.revmesh2074.workers.dev, paid per call via x402, $0.003/call, status unknown (last checked 2026-10-11).
Searches academic papers by query string, returning metadata including DOI, authors, abstract, venue, year, and citation count.
Price / call$0.003
Success—
StatusUnknown
How this service works
Pay-per-call tools for AI agents: web page text extraction and summaries, screenshots, image generation, speech-to-text, image description, domain and email-auth intelligence, and live Base token and wallet lookups. No account or API key; pay per request in USDC on Base via x402.
Output
Returns a JSON object with the original query, a list of matching papers (each with DOI, URL, type, year, title, venue, authors, abstract, and citation count), the number of results returned, and the total number of matches found in the index.
Example use cases
Literature review for a research paper
“I'm writing a literature review on reinforcement learning from human feedback. Can you search for the top 10 most relevant academic papers on 'reinforcement learning from human feedback' published after 2019 and give me their titles, authors, venues, and citation counts?”
Finding foundational papers on a topic
“Can you look up the original 'attention is all you need' paper and a few related works? Search for 'attention is all you need transformers' and return up to 5 results with DOIs and abstracts.”
Discovering recent research on a scientific question
“What are the latest academic papers on CRISPR gene editing cancer treatment? Search for 'CRISPR cancer treatment' with results from 2022 onwards and give me up to 8 papers with their abstracts and citation counts.”
Technical details
Endpoint
GEThttps://agent-data-tools.revmesh2074.workers.dev/papers?utm_source=zero.xyzWhen to prefer
Choose this endpoint when an AI agent needs to search academic or scientific literature by topic or research question without requiring an API key or account setup, and when pay-per-call billing in USDC is acceptable. Ideal for one-off research lookups, automated literature reviews, or agents that occasionally need scholarly citations without committing to a subscription.
Side effects
- Query shorter than 3 or longer than 300 characters returns a validation error
- Limit outside 1-20 range may be rejected or clamped
- No matching papers found returns empty results array with totalMatches 0
- Payment in USDC not provided or insufficient triggers 402 Payment Required
- Invalid fromYear filter may return unexpected results or an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"query": "attention is all you need",
"results": [
{
"doi": "10.1007/978-3-031-84300-6_13",
"url": "https://doi.org/10.1007/978-3-031-84300-6_13",
"type": "book-chapter",
"year": 2025,
"title": "Is Attention All You Need?",
"venue": "From Human Attention to Computational Attention",
"authors": [
"Patrick Mineault"
],
"abstract": null,
"citations": 55
}
],
"returned": 1,
"totalMatches": 1392853
}
}Tags
x402
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