PubMed Publication Trends API is a paid API for AI agents from pubmed.sekgen.xyz, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-13).
Returns year-by-year publication counts, growth analytics, and CAGR for any biomedical or clinical research topic queried against PubMed
Biomedical research publication trends from PubMed — year-by-year counts, growth analytics, and CAGR for any medical, clinical, or scientific topic
Returns an annual breakdown of PubMed publication counts for the queried topic, along with compound annual growth rate (CAGR) and growth analytics to characterize research momentum over time.
GEThttps://pubmed.sekgen.xyz/api/v1/trendsUse this endpoint when you need longitudinal, multi-year publication trend data for a biomedical or clinical topic — particularly when CAGR or growth trajectory analysis is required. Prefer over the single-year count endpoint when historical context and trend lines matter. Choose over the comparison endpoint when analyzing a single topic in depth rather than comparing multiple terms side by side.
{
"input": {
"type": "http",
"method": "GET",
"queryParams": {
"query": "machine learning in drug discovery"
}
}
}| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
{
"data": [
{
"year": 2016,
"count": 138,
"proportion": 0.00010734988907178129,
"yoy_growth": null,
"total_pubmed": 1285516
},
{
"year": 2017,
"count": 170,
"proportion": 0.00013033001860652678,
"yoy_growth": 0.2318840579710145,
"total_pubmed": 1304381
},
{
"year": 2018,
"count": 304,
"proportion": 0.00022490546941988446,
"yoy_growth": 0.788235294117647,
"total_pubmed": 1351679
},
{
"year": 2019,
"count": 463,
"proportion": 0.0003262900260256818,
"yoy_growth": 0.5230263157894737,
"total_pubmed": 1418983
},
{
"year": 2020,
"count": 484,
"proportion": 0.00029489556492911845,
"yoy_growth": 0.04535637149028078,
"total_pubmed": 1641259
},
{
"year": 2021,
"count": 732,
"proportion": 0.0004095081985555326,
"yoy_growth": 0.512396694214876,
"total_pubmed": 1787510
},
{
"year": 2022,
"count": 763,
"proportion": 0.0004278263170938762,
"yoy_growth": 0.04234972677595628,
"total_pubmed": 1783434
},
{
"year": 2023,
"count": 892,
"proportion": 0.0005253307168879691,
"yoy_growth": 0.1690694626474443,
"total_pubmed": 1697978
},
{
"year": 2024,
"count": 1310,
"proportion": 0.0007534317088923921,
"yoy_growth": 0.46860986547085204,
"total_pubmed": 1738711
},
{
"year": 2025,
"count": 2026,
"proportion": 0.0010783673964719395,
"yoy_growth": 0.5465648854961832,
"total_pubmed": 1878766
},
{
"year": 2026,
"count": 1007,
"proportion": 0.0011547529493789333,
"yoy_growth": -0.5029615004935835,
"total_pubmed": 872048
}
],
"query": "machine learning in drug discovery",
"cached": false,
"source": "pubmed",
"end_year": 2026,
"analytics": {
"cagr": 0.21987417814200239,
"peak_year": 2025,
"peak_count": 2026,
"acceleration": -0.2754532587372879,
"trend_direction": "declining"
},
"cache_date": "2026-05-29",
"start_year": 2016,
"total_results": 8289
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