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Vextorium PubMed Biomedical Literature Search
x402
Vextorium PubMed Biomedical Literature Search is a paid API for AI agents from api.vextorium.com, paid per call via x402, $0.003/call, status unknown (last checked 2026-10-16).
Searches PubMed (NIH) biomedical literature and returns article metadata including title, authors, journal, date, DOI, PMID, and abstract, sorted newest first with optional year filtering.
Price / call$0.003
Success—
StatusUnknown
How this service works
Search biomedical literature on PubMed (NIH): title, authors, journal, date, DOI, PMID and abstract of each article, newest first, with optional year filter.
Output
Returns a JSON object containing the total number of matching articles, the source (PubMed), the original query string, and an array of articles each with: title, list of authors, journal name, publication date, DOI, PMID, link to the article on PubMed, and full abstract text.
Example use cases
Drug efficacy literature review
“Find me the 20 newest PubMed articles on metformin and longevity published from 2020 onward — I need the title, journal, authors, abstract, and PMID for each.”
Rare disease research discovery
“Search PubMed for recent papers on amyotrophic lateral sclerosis biomarkers, limit to 15 results from 2021 onwards, and include the DOI and abstract for every article you find.”
Systematic review evidence gathering
“I'm writing a systematic review — can you pull the latest 25 PubMed articles on gut microbiome and mental health, sorted newest first, with titles, authors, journals, dates, and abstracts?”
Technical details
Endpoint
POSThttps://api.vextorium.com/pubmed-buscar-pago?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need programmatic, structured access to PubMed biomedical literature with clean JSON output including abstracts and identifiers (DOI, PMID). Prefer it over direct PubMed API calls when you want a simple POST interface with built-in newest-first sorting and optional year filtering, without handling NCBI's E-utilities directly. Ideal for AI agents performing literature reviews, evidence synthesis, or medical research queries.
Side effects
- Empty result set if query terms match no PubMed records
- Null abstract fields for articles that have no abstract on PubMed
- Rate limiting or timeout if PubMed upstream is slow
- Invalid or missing 'consulta' field returns a schema validation error
- Extremely broad queries may return incomplete or truncated results without a limit set
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| limite | integer | |
| consulta | string | |
| desde_año | integer |
Tags
x402
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