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Saylor Innovations Text Tools – Keyword & Keyphrase Extraction (RAKE)
x402
Saylor Innovations Text Tools – Keyword & Keyphrase Extraction (RAKE) is a paid API for AI agents from saylorinnovations.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-30).
Extracts keywords and key phrases from a block of text using the RAKE algorithm, returning each phrase with a relevance score from 0–100.
Price / call$0.01
Success—
StatusUnknown
How this service works
Keyword and key phrase extraction from text with relevance scores (RAKE)
Output
Returns a JSON object with an array of keyword/keyphrase objects, each containing the phrase string, a relevance score (0–100), and word count. Also includes total count of phrases returned, the extraction method used ('RAKE'), and a UTC timestamp of when the analysis was run.
Example use cases
SEO keyword discovery from content
“I've written a 1,500-word blog post about cloud computing trends. Can you extract the top keywords and key phrases from it, with their relevance scores, so I know which terms to optimize for?”
Summarizing customer feedback themes
“Here are 50 customer reviews pasted together — can you run keyword extraction on them to surface the most frequently important phrases and rank them by relevance score?”
Tagging research paper automatically
“I need to auto-tag this research abstract with its key topics. Can you extract the highest-scoring keywords and phrases from it using RAKE so I can use them as metadata tags?”
Technical details
Endpoint
GEThttps://saylorinnovations.com/api/text/keywords?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need lightweight, fast, unsupervised keyword and keyphrase extraction with relevance scoring from arbitrary text — especially when you don't want to run your own NLP pipeline. It is well-suited for SEO analysis, auto-tagging, content summarization prep, and theme detection. Prefer it over full LLM summarization when you want deterministic, score-ranked phrase output rather than prose summaries.
Side effects
- Missing 'text' query parameter returns an error
- Text exceeding 20,000 characters may be rejected or truncated
- Very short or single-word inputs may return low-quality or empty keyword arrays
- Non-English text may produce lower-quality results depending on RAKE language support
- Network or upstream service errors return a non-200 HTTP response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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