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ONE Engine Text Sentence Tokenizer
x402
ONE Engine Text Sentence Tokenizer is a paid API for AI agents from one-search.one-engine.workers.dev, paid per call via x402, $0.0005/call, status unknown (last checked 2026-10-02).
Splits input text into individual sentences using a pay-per-call NLP tokenization API on Base via x402.
Price / call$0.0005
Success—
StatusUnknown
How this service works
Low-cost pay-per-call utility APIs for autonomous agents using x402 on Base.
Output
Returns a structured object containing the text split into individual sentences, likely as an array of sentence strings with associated metadata such as count or offsets, enabling downstream per-sentence processing.
Example use cases
Preprocessing text for NLP pipeline
“Break this article excerpt into individual sentences so I can run sentiment analysis on each one: 'The market surged today. Investors remained cautious. Analysts predicted further volatility.'”
Chunking documents for summarization
“Segment this 10-paragraph report into sentences — I want to feed each sentence separately into my summarization model.”
Counting sentences in a document
“How many sentences are in this text? 'She arrived early. The meeting had already started. No one noticed her slip in quietly. She took her seat near the back.'”
Technical details
Endpoint
POSThttps://one-search.one-engine.workers.dev/v3/text-token/sentences/t1?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a lightweight, low-cost, pay-per-call sentence tokenizer without standing up your own NLP infrastructure. Ideal for autonomous agents that need to segment text on-demand at $0.0005 per call using x402 on Base. Best for moderate-length texts up to 50,000 characters where per-sentence segmentation is the primary goal.
Side effects
- Text exceeds 50,000 character limit — request rejected
- Empty or missing 'text' field — validation error
- Payment failure via x402 on Base — 402 Payment Required response
- Malformed JSON body — 400 Bad Request
- Service timeout on very long or complex texts
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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