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ONE Engine Unicode NFKC + T9 Text Normalizer
x402
ONE Engine Unicode NFKC + T9 Text Normalizer is a paid API for AI agents from one-search.one-engine.workers.dev, paid per call via x402, $0.018/call, status unknown (last checked 2026-10-02).
Normalizes input text using Unicode NFKC normalization followed by T9 encoding transformation, via a pay-per-call x402 API on Base.
Price / call$0.018
Success—
StatusUnknown
How this service works
Low-cost pay-per-call utility APIs for autonomous agents using x402 on Base.
Output
Returns a JSON object containing the T9-encoded representation of the NFKC-normalized input text. The NFKC step decomposes compatibility characters and recomposes canonical equivalents; the T9 step maps the resulting characters to numeric keypad sequences. The exact response shape may vary (additionalProperties: true).
Example use cases
Preprocess multilingual search index tokens
“I have this product description with mixed unicode ligatures and accented characters — can you NFKC-normalize it and then T9-encode it so I can add it to our T9-based search index? The text is: 'Reflective FIber Optic Câble — high‑performance'”
Standardize user input before T9 lookup
“A user typed 'fficient résumé builder' into our T9 keypad search — can you normalize and T9-encode that string so I can match it against our database?”
Clean and encode legacy document text
“I've got some old document text with unicode compatibility characters like '㎞', '℃', and '﹩' — please run it through NFKC normalization and T9 encoding so I can store a consistent form: '㎞ range, ℃ temperature, ﹩ cost'”
Technical details
Endpoint
POSThttps://one-search.one-engine.workers.dev/v3/text-normalize/unicode-nfkc/t9?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both NFKC unicode normalization and T9 encoding applied in a single call, without standing up your own text-processing infrastructure. Ideal for AI agents that need lightweight, pay-per-call text preprocessing for T9-based search indices, keypad input matching, or legacy system compatibility. Prefer it over general-purpose NLP APIs when the specific combination of NFKC + T9 is required and cost per call matters.
Side effects
- Text exceeds 50,000 character limit — request rejected or truncated
- Payment not provided or insufficient USDC — 402 Payment Required response
- Malformed JSON body or missing 'text' field — 400 Bad Request
- Network or Cloudflare Worker timeout for very large inputs
- T9 encoding may not support all Unicode code points after NFKC normalization — unexpected characters may be dropped or errored
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| textrequired | string | Text up to 50000 characters |
Output
Schema · Response
{
"type": "object",
"additionalProperties": true
}Tags
x402
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