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Japan Furigana API — Text Classification Endpoint
x402
Japan Furigana API — Text Classification Endpoint is a paid API for AI agents from furigana.agentic-jp.com, paid per call via x402, $0.005/call, status unknown (last checked 2026-09-15).
Classifies Japanese text (e.g. person names, place names, common words) into semantic categories with probability scores
Price / call$0.005
Success—
StatusUnknown
How this service works
Classify a Japanese (JP) string as person_name / company_name / place_name / general / mixed, with a probability, ranked alternates, and a character-type breakdown (kanji/kana/ascii ratios). Use to route input to the right handler before further processing.
Output
A JSON object containing the original input text and a classification object with a 'primary' field indicating the detected category (e.g. 'person_name', 'place_name') and a 'probability' float (0–1) representing confidence in that classification.
Example use cases
NLP pipeline entity type gating
“Before I run furigana conversion, check whether '東京都渋谷区' is a place name or a person name so I can route it to the right processing step.”
Japanese form input validation
“A user typed '鈴木一郎' into our name field — can you classify it to confirm it's actually a person name and not a random word?”
Corpus labeling for Japanese dataset
“I have the Japanese string '株式会社' and need to know its semantic category (company name, common noun, person name, etc.) with a confidence score so I can label my training data correctly.”
Technical details
Endpoint
POSThttps://furigana.agentic-jp.com/classifyWhen to prefer
Choose this endpoint when you need to determine the semantic type of a Japanese text fragment before further processing (e.g. furigana generation, NLP routing, form validation). It is ideal for named entity type detection (person vs. place vs. other) without needing a full NLP pipeline. Prefer this over generic NLP APIs when working specifically with Japanese text and needing lightweight, pay-per-call classification with no API key setup.
Side effects
- Input text exceeds 5000 character limit — request rejected
- Non-Japanese or empty text may yield low-confidence or unexpected classifications
- Payment failure via x402 if USDC wallet is insufficient or x402 handshake fails
- Missing required 'text' field in body returns a validation error
- Ambiguous text may return low probability scores with uncertain primary category
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| text | string | Japanese text to classify |
Output
Schema · Response
{
"type": "json",
"example": {
"input": "山田太郎",
"classification": {
"primary": "person_name",
"probability": 0.92
}
}
}Tags
x402
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