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Tempest AI Keyword Extractor
x402
Tempest AI Keyword Extractor is a paid API for AI agents from tempost.vercel.app, paid per call via x402, $0.15/call, status unknown (last checked 2026-09-15).
Extracts the most relevant keywords from a given text passage using AI, returning a configurable number of key terms.
Price / call$0.15
Success—
StatusUnknown
How this service works
Compose, rewrite, translate, and refine content at scale. 25 AI-powered endpoints. Pay-per-call with USDC on Tempo.
Output
Returns a JSON object with a `success` boolean and a `data` object containing the extracted keywords — typically an array of key terms or phrases pulled from the input text, ordered by relevance.
Example use cases
SEO keyword tagging for blog posts
“Pull out 8 keywords from this blog post so I can tag it properly: 'Remote work has reshaped urban living, with more professionals choosing suburban areas, co-working spaces, and flexible lease arrangements over traditional city apartments.'”
Metadata generation for product catalog
“I need the 5 most important keywords from this product description for our catalog metadata: 'This ergonomic standing desk features height-adjustable settings, a durable bamboo surface, and cable management built right into the frame.'”
Topic analysis for research summaries
“What are the top 12 keywords in this research abstract? 'Gene editing technologies like CRISPR-Cas9 are enabling breakthroughs in treating genetic disorders, with clinical trials showing promising results in sickle cell disease and beta-thalassemia.'”
Technical details
Endpoint
POSThttps://tempost.vercel.app/api/keywordsWhen to prefer
Choose this endpoint when you need fast, pay-per-call AI keyword extraction without a subscription — ideal for sporadic or burst workloads. It's part of a larger AI content suite (Tempest), so it's well-suited for pipelines already using other Tempest endpoints. Prefer it over general LLM prompting when you want a structured, predictable response format for keywords with controllable count.
Side effects
- Empty or missing `text` field returns an error or empty result
- Very short input text may yield fewer keywords than requested via `count`
- Non-English text may produce lower-quality keyword extraction
- Extremely long text may exceed token limits or slow response
- Invalid `count` value (e.g. negative number) may cause a 400 error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| textrequired | string | Text to extract keywords from |
| count | number | Number of keywords |
Output
Schema · Response
| Field | Type | Description |
|---|---|---|
| data | object | |
| success | boolean |
Tags
x402
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