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PubMed Emerging Topics Detector
x402
PubMed Emerging Topics Detector is a paid API for AI agents from pubmed.sekgen.xyz, paid per call via x402, $0.05/call, status unknown (last checked 2026-09-13).
Detects biomedical research topics with accelerating publication rates across oncology, neuroscience, immunology, gene therapy, cardiology, and custom domains
Price / call$0.05
Success—
StatusUnknown
How this service works
Detect emerging biomedical research topics with accelerating publication rates in oncology, neuroscience, immunology, gene therapy, cardiology, and custom scientific domains
Output
Returns a ranked list of emerging biomedical research topics with accelerating publication rates, including growth metrics and signals indicating which areas are gaining momentum across the selected scientific domain.
Example use cases
Example prompt
“What biomedical research topics are showing the fastest acceleration in publication rates right now — especially in oncology and immunology?”
Technical details
Endpoint
GEThttps://pubmed.sekgen.xyz/api/v1/emergingWhen to prefer
Use this endpoint when you need to identify which specific biomedical sub-topics are currently trending or accelerating, rather than just tracking publication counts for known topics. Ideal for competitive intelligence, grant writing, drug discovery prioritization, or literature reviews where spotting early-stage research momentum is critical.
Side effects
- Invalid or unrecognized domain returns empty or error response
- Rate limiting if too many concurrent requests
- No emerging topics found for niche domains with low publication volume
- Stale data if PubMed index has not been refreshed recently
Input
{
"input": {
"type": "http",
"method": "GET",
"queryParams": {
"category": "oncology"
}
}
}Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
{
"category": "oncology",
"terms_total": 25,
"window_years": 3,
"terms_scanned": 25,
"scan_timestamp": "2026-05-29T22:15:56.509Z",
"emerging_topics": [
{
"term": "artificial intelligence drug resistance cancer",
"recent_cagr": 0.393,
"acceleration": 0,
"trend_direction": "growing",
"latest_year_count": 227
}
],
"min_growth_rate": 0.3
}Tags
x402
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