Text Classifier X402 — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited Text Classifier X402 (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Classify text into categories with confidence scores, readability analysis, and content type detection. Pay-per-call via x402 (USDC on Base L2) -- no API key, no signup, no rate-limit wall.
Part of the klymax402 marketplace -- 100 x402 micropayment APIs for AI agents, one wallet, USDC on Base.
Add to your MCP client config (Claude Desktop, Cursor, ElizaOS, etc.):
{
"mcpServers": {
"text-classifier": {
"url": "https://text-classifier.api.klymax402.com/mcp"
}
}
}curl -X POST "https://text-classifier.api.klymax402.com/api/classify" \
-H "Content-Type: application/json" \
-d '{"text":"..."}'
# -> 402 Payment Required, with an x402 payment challenge in the response bodyAny x402-aware client (@x402/fetch, x402-agent-tools, ATXP) handles the 402 -> sign -> retry cycle automatically.
| Tool | Method | Path | Price | Description |
|---|---|---|---|---|
text_classify_content | POST | /api/classify | $0.012 | Classify text content into categories with confidence scores and readability metrics |
text_classify_contentUse this when you need to categorize text into topic categories (tech, finance, health, sports, politics, entertainment, science, business). Returns top 3 categories with confidence scores, detected language, Flesch-Kincaid readability level, and content type (article/review/tutorial/news). Ideal for content organization, tagging, and routing. Do NOT use for sentiment — use text_analyze_sentiment. Do NOT use for summarization — use ai_summarize_text.
Parameters
| Name | Type | Required | Description |
|---|---|---|---|
text | string | yes | The text content to classify (min 50 characters for accurate results) |
categories | array | no | Optional custom categories to classify against. Default: tech, finance, health, sports, politics, entertainment, science, business |
eip155:8453)100 x402 micropayment APIs for AI agents -- one wallet, USDC on Base, zero signup.
MIT
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.