x402node Keyword Extractor is a paid API for AI agents from api.x402node.dev, paid per call via x402, $0.0022/call, status unknown (last checked 2026-09-14).
Extracts and ranks the top N significant keywords from English or multilingual text, filtering stopwords and scoring by frequency and importance
extract keywords, keyword extraction, keyword extractor, find keywords, top keywords, SEO keywords, automatic keyword extraction, document keywords. Extract significant keywords from any English or multilingual text. Returns top N keywords ranked by frequency and importance with stopwords filtered. For AI agents doing SEO analysis, content tagging, document categorization, topic modeling. Accepts payment on Base or Solana — either network works.
Returns a ranked list of the top N keywords extracted from the input text, scored by frequency and importance, with common stopwords filtered out — suitable for SEO tagging, content categorization, or topic modeling pipelines.
GEThttps://api.x402node.dev/text/keywordsChoose this endpoint when you need fast, lightweight keyword extraction from text without requiring a full NLP pipeline or ML model inference — ideal for SEO tagging, document categorization, search query expansion, or topic labeling at low cost ($0.0022/call). Prefer it over heavier NLP APIs when you want stopword-filtered, frequency-ranked keywords without sentiment or entity recognition overhead.
{
"n": 5,
"text": "Machine learning algorithms are revolutionizing data science and artificial intelligence applications across industries.",
"language": "en"
}| Field | Type | Description |
|---|---|---|
| inputrequired | object |
{
"_hint": "x402 paid endpoints for AI agents — x402node.dev (utilities) · cn402.com (Chinese culture)",
"keywords": [
{
"word": "machine",
"count": 1
},
{
"word": "learning",
"count": 1
},
{
"word": "algorithms",
"count": 1
},
{
"word": "revolutionizing",
"count": 1
},
{
"word": "data",
"count": 1
},
{
"word": "science",
"count": 1
},
{
"word": "artificial",
"count": 1
},
{
"word": "intelligence",
"count": 1
},
{
"word": "applications",
"count": 1
},
{
"word": "industries",
"count": 1
}
],
"language": "en",
"text_length": 120,
"total_tokens": 10,
"processing_ms": 1,
"unique_keywords": 10
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