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Dylan From 2045 – Kanji-Hanzi Manga Data
x402
Dylan From 2045 – Kanji-Hanzi Manga Data is a paid API for AI agents from dylan-source-data.dylanvfrancis000.workers.dev, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-21).
Returns JSON data about kanji/hanzi characters written identically in Japanese and Chinese but pronounced differently, including kana, romaji, pinyin with tones, and false-friend warnings
Price / call$0.01
Success—
StatusUnknown
How this service works
Agent-ready playbooks and language-learning data as JSON, $0.01 USDC per call. Agent ops: deploy-sheet (12 GO/HOLD checks before shipping agent-written code), one-screen-brief (6-field task brief), agent-forgets (State Capsule prompt for drifting sessions), field-kit (AI vendor cutoff kit), agent-skill-pack (5 drop-in SKILL.md skills). Language learning / CJK: kanji-hanzi-manga (characters written the same in Japanese and Chinese but read differently, kana+romaji vs pinyin with tones, false-friend warnings), false-friends (Norwegian/German/Dutch words that trick English speakers, with example sentences). Briefs: signal, signal-07 (sourced AI pricing brief). Full agent products at $1.00 each: orchestration-prompts-4, file-bus-interop-kit, agent-output-acceptance-suite. Free index: GET /products.
Output
A JSON object containing a curated list of CJK characters written identically in Japanese and Chinese, each entry including the character, its Japanese kana and romaji reading, its Chinese pinyin reading with tone marks, and false-friend warnings highlighting semantic or phonetic traps for learners moving between the two languages.
Example use cases
Japanese-Chinese false friend study aid
“Pull the kanji-hanzi-manga dataset for me — I want to see all the characters that look the same in Japanese and Chinese but have completely different pronunciations, with their kana, romaji, and pinyin with tones listed side by side.”
CJK learner pronunciation comparison
“I'm building a flashcard deck for students who already know Chinese and are learning Japanese. Fetch the kanji-hanzi-manga data so I have a list of shared characters where the readings diverge, along with false-friend warnings.”
Language app content enrichment
“Get me the kanji-hanzi-manga JSON so I can enrich my language learning app with characters shared between Japanese and Chinese scripts, showing kana versus pinyin pronunciations and flagging the tricky false friends.”
Technical details
Endpoint
GEThttps://dylan-source-data.dylanvfrancis000.workers.dev/products/kanji-hanzi-manga?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need structured, machine-readable CJK cross-language character data specifically comparing Japanese kanji and Chinese hanzi that share written form but diverge in pronunciation, especially when you need both kana/romaji and pinyin-with-tones in a single response with false-friend annotations. Prefer this over generic dictionary APIs when you want opinionated, learner-focused comparison data rather than raw dictionary entries.
Side effects
- Payment not included or insufficient USDC — returns 402 Payment Required
- Invalid or missing product slug — returns 404 Not Found
- Service temporarily unavailable on Cloudflare Workers — returns 503
- Rate limiting or wallet issues — payment rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| properties | string |
Output
Schema · Response
{
"type": "json",
"example": {
"slug": "deploy-sheet",
"title": "Chief Charlie Deploy Sheet",
"source": "Dylan From 2045",
"upsell": {
"note": "Printable one-page PDF with the GO / HOLD box.",
"payhipUrl": "https://payhip.com/b/HA8Ik",
"priceLabel": "$1"
},
"content": {
"rule": "Any unticked box = HOLD. Fix it, re-check, then ship.",
"checks": [
{
"n": 1,
"id": "scope",
"label": "Scope is one sentence",
"detail": "Write what this change does — and what it does not touch."
}
]
},
"product": {
"payhipUrl": "https://payhip.com/b/HA8Ik",
"priceLabel": "$1"
},
"summary": "12 checks before AI-agent work goes live. Tick every box or hold the launch.",
"useWhen": "Before merging, deploying or releasing work produced by an AI agent; to build a GO/HOLD release gate."
}
}Tags
x402
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