yake-server
yake-server provides a server wrapper around the YAKE (Yet Another Keyword Extractor) algorithm, exposing keyword extraction via an HTTP service (typically to extract keywords/keyphrases from text).
Score Breakdown
⚙ Agent Friendliness
🔒 Security
Security posture is unknown from the provided prompt content. Since this is a generic server wrapper, security depends on the implementation (TLS termination, auth/rate limiting, input size validation, and whether logs accidentally capture full input text). Keyword extraction often processes user text, so careful logging/redaction is important to avoid leaking sensitive text.
⚡ Reliability
Best When
You need quick keyword extraction and want to call a reusable HTTP service rather than embedding YAKE in every app.
Avoid When
You require advanced access control, tenant isolation, or clearly documented SLAs/error semantics from the server implementation.
Use Cases
- • Extracting keywords/keyphrases from user-provided text
- • Building lightweight NLP features without heavy ML model dependencies
- • Document classification support via keyword features
- • Search indexing/ranking enrichment using extracted keywords
Not For
- • Production deployment requiring strict enterprise-grade API governance (unless the server adds those features)
- • Use as a source of truth for semantic understanding beyond keyword extraction
- • Handling very large documents without considering server performance/memory limits
Interface
Authentication
No authentication details were provided in the prompt content. Server likely runs without auth unless configured externally (not verifiable here).
Pricing
Agent Metadata
Known Gotchas
- ⚠ Potential absence of explicit request/response schema (harder for agents to build correct calls).
- ⚠ If the server accepts free-form text without limits, agents may accidentally send very large payloads causing timeouts.
- ⚠ If no auth/rate limits are documented, agents may overload the service during retries or parallel calls.
Alternatives
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Scores are editorial opinions as of 2026-04-04.