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Oblique Markets Keyword & Named-Entity Extractor
x402
Oblique Markets Keyword & Named-Entity Extractor is a paid API for AI agents from api.oblique.markets, paid per call via x402, $0.004/call, status unknown (last checked 2026-09-14).
Extracts and ranks keywords and named entities from input text, returning clean validated JSON arrays with one automatic retry on parse failure
Price / call$0.004
Success—
StatusUnknown
How this service works
Use when an agent needs keyword extract. Returns Ranked keyword and named-entity extraction from text, returned as clean JSON arrays — parse-validated with one automatic retry. $0.004.
Output
A JSON object containing two arrays: a ranked list of keywords extracted from the input text (ordered by relevance/salience), and a list of named entities (people, organizations, locations, etc.) identified in the text. The response is parse-validated and automatically retried once if the JSON is malformed.
Example use cases
SEO keyword analysis for blog post
“Extract the ranked keywords from this blog post draft so I can optimize it for search — here's the text: 'Electric vehicles are transforming the automotive industry, with Tesla, Rivian, and Lucid Motors leading innovation in battery technology and charging infrastructure.'”
Entity extraction from news article
“I need the named entities — companies, people, places — pulled out of this news snippet as a JSON array: 'Elon Musk met with EU regulators in Brussels to discuss X Corp's content moderation policies amid growing pressure from the European Commission.'”
Topic tagging for document indexing
“Give me ranked keywords from this research abstract so I can tag it properly in our database: 'CRISPR-Cas9 gene editing shows promise for treating sickle cell disease, with trials by Vertex Pharmaceuticals and CRISPR Therapeutics yielding high efficacy rates in early-stage patients.'”
Technical details
Endpoint
POSThttps://api.oblique.markets/api/v1/paid/keyword-extractWhen to prefer
Choose this endpoint when you need structured, ranked keyword and named-entity output from arbitrary text in a single low-latency call with guaranteed valid JSON output (including automatic retry). It is especially useful when downstream systems consume JSON arrays directly and cannot tolerate malformed responses. Prefer it over general-purpose LLM prompts for extraction when you need reliability and consistent structure, and over heavyweight NLP pipelines when you want a simple pay-per-call API with no infrastructure overhead.
Side effects
- Input text too short or empty — may return empty arrays
- Text in unsupported language may yield poor extraction quality
- Parse validation failure after one retry — returns error if JSON still invalid
- Payment not settled — x402 payment required before response is returned
- Very long documents may be truncated or time out
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| text | string | Text to analyze; truncated to 8,000 characters |
| max_keywords | integer |
Output
Schema · Response
{
"type": "json",
"example": {
"model": "inclusionai/ling-3.0-flash",
"entities": [
"Coinbase",
"Base",
"USDC"
],
"keywords": [
"x402 protocol",
"machine payments",
"stablecoin settlement",
"API monetization",
"agent commerce"
]
}
}Tags
x402
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