Perspective API Alternative (Toxicity Detection)
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AlicenseNot gradedqualityDmaintenanceProvides advanced evaluation tools for assessing AI safety, alignment, and performance of LLM outputs. Enables programmatic evaluation of quality, safety metrics like toxicity and PII detection, and operational metrics including carbon footprint and cost estimation.4Apache 2.0- AlicenseBqualityBmaintenanceContent moderation and profanity detection MCP server with 19 tools, 24 language support, leetspeak/Unicode obfuscation detection, context-aware analysis, batch processing, and user tracking for AI-powered content safety.2433 npm67MIT
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TDQS
Scored across 1 tool
With only one tool, there is no possibility of misselection or overlap with a sibling tool. The single tool's purpose (toxicity scoring) is unambiguous and clearly stated.
The lone name 'analyze_toxicity' follows a clean verb_noun snake_case convention. With a single tool there is no opportunity for inconsistent conventions.
A single tool is defensible for a narrow API wrapper, and batching up to 100 texts per call covers the main use case. However, one tool is the thinnest possible surface, leaving no separate operations for things like model/attribute discovery or quota checks.
The scoring operation itself is complete: multi-attribute probabilities, batching, and clear read-only semantics cover the moderation workflow. Minor gaps exist around attribute/language enumeration and rate-limit or quota visibility, but agents can work around these.