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Vextorium Keyword & Keyphrase Extractor
x402
Vextorium Keyword & Keyphrase Extractor 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).
Extracts keywords and keyphrases from Spanish or English text using the RAKE algorithm, scored by frequency and degree, plus most frequent word counts — for tagging, indexing, and SEO.
Price / call$0.003
Success—
StatusUnknown
How this service works
Extract keywords and keyphrases from a text without AI (RAKE algorithm scoring frequency and degree), in Spanish or English, plus most frequent words. For tagging, indexing and SEO.
Output
A JSON object with the auto-detected language code (e.g. 'en' or 'es'), an array of keyphrases each with the phrase text, occurrence count, and RAKE score (higher = more significant), plus an array of the most frequent individual words each with their word and count.
Example use cases
SEO tagging for a blog post
“I just wrote a blog post about DeFi lending protocols — can you extract the top keywords and keyphrases from it so I can add proper SEO tags? Here's the full text: 'Decentralized lending protocols like Aave allow users to borrow and lend crypto assets without intermediaries...'”
Auto-indexing Spanish content
“I need to index this Spanish article about renewable energy. Can you pull out the most important keyphrases and frequent words from it so I can tag it in our CMS? Here's the text: 'La energía solar está transformando el sector eléctrico en España...'”
Content topic analysis for newsletter
“Can you analyze this newsletter excerpt and tell me which phrases score highest as keywords, and which words appear most often? Here's the text: 'Machine learning models are reshaping how financial institutions detect fraud and assess credit risk.'”
Technical details
Endpoint
POSThttps://api.vextorium.com/palabras-clave-pago?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need deterministic, rule-based keyword extraction (RAKE algorithm) without AI model inference costs or latency — ideal for high-volume SEO tagging, content indexing pipelines, or any scenario where reproducibility and speed matter more than semantic nuance. It supports both Spanish and English, making it useful for bilingual content workflows. Prefer it over AI-based NLP services when budget is tight ($0.003/call), outputs need to be consistent across identical inputs, or when you want frequency-weighted phrase scoring without a large language model.
Side effects
- Missing 'texto' field returns a validation error
- Empty or very short text may yield no keyphrases
- Very long texts may slow response or hit size limits
- Non-Spanish/non-English text may produce unreliable results since only those two languages are supported
- Malformed JSON body returns an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| texto | string | |
| limite | integer |
Output
Schema · Response
{
"type": "json",
"example": {
"idioma": "en",
"frases_clave": [
{
"frase": "business model viable",
"veces": 1,
"puntuacion": 9
},
{
"frase": "usdc micropayments make",
"veces": 1,
"puntuacion": 8
},
{
"frase": "artificial intelligence agents",
"veces": 1,
"puntuacion": 8
},
{
"frase": "agents pay",
"veces": 1,
"puntuacion": 4
},
{
"frase": "digital economy",
"veces": 1,
"puntuacion": 4
}
],
"palabras_frecuentes": [
{
"veces": 3,
"palabra": "agents"
},
{
"veces": 2,
"palabra": "micropayments"
},
{
"veces": 1,
"palabra": "artificial"
},
{
"veces": 1,
"palabra": "intelligence"
},
{
"veces": 1,
"palabra": "transforming"
},
{
"veces": 1,
"palabra": "digital"
},
{
"veces": 1,
"palabra": "economy"
},
{
"veces": 1,
"palabra": "pay"
},
{
"veces": 1,
"palabra": "data"
},
{
"veces": 1,
"palabra": "per"
},
{
"veces": 1,
"palabra": "use"
},
{
"veces": 1,
"palabra": "apis"
},
{
"veces": 1,
"palabra": "usdc"
},
{
"veces": 1,
"palabra": "make"
},
{
"veces": 1,
"palabra": "business"
}
]
}
}Tags
x402
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