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ONE Engine Text Tokenization – Sentence Splitter
x402
ONE Engine Text Tokenization – Sentence Splitter is a paid API for AI agents from one-search.one-engine.workers.dev, paid per call via x402, $0.004/call, status unknown (last checked 2026-10-02).
Splits a text string (up to 50,000 characters) into individual sentences using token-level text analysis.
Price / call$0.004
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 input text segmented into individual sentences, likely as an array of sentence strings with possible token-level metadata, suitable for downstream NLP tasks.
Example use cases
NLP pipeline sentence preprocessing
“Take this news article and break it into individual sentences so I can run sentiment analysis on each one: 'The stock market rallied sharply on Thursday. Investors responded positively to the Fed announcement. Tech stocks led the gains.'”
Document chunking for search indexing
“I need to split this 10,000-character product manual into individual sentences so I can index each one separately for semantic search.”
Extracting sentences from customer feedback
“Take this block of customer reviews and split it into separate sentences — I want to analyze each claim individually: 'The delivery was fast. However, the packaging was damaged. Customer support resolved my issue quickly.'”
Technical details
Endpoint
POSThttps://one-search.one-engine.workers.dev/v3/text-token/sentences/t6?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need lightweight, pay-per-call sentence tokenization without spinning up a local NLP library or paying for a larger, more expensive API. Ideal for autonomous agents running on Base/x402 that need cheap, stateless sentence segmentation as a preprocessing step for downstream tasks like sentiment analysis, summarization, or semantic search indexing.
Side effects
- Text exceeding 50,000 characters may be rejected or truncated
- Empty or whitespace-only text input may return an empty sentence list
- Ambiguous sentence boundaries (e.g. abbreviations, ellipses) may result in incorrect splits
- Payment failure via x402/USDC may block the request
- Malformed JSON body returns an error
- Non-English or mixed-language text may produce degraded segmentation quality
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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