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ONE Engine Text Token Word Counter
x402
ONE Engine Text Token Word Counter is a paid API for AI agents from one-search.one-engine.workers.dev, paid per call via x402, $0.0065/call, status unknown (last checked 2026-10-02).
Counts or tokenizes words in a given text string, returning word-level token analysis for up to 50,000 characters.
Price / call$0.0065
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 word count metrics and/or tokenized word data derived from the submitted text. Likely includes total word count, individual word tokens, and possibly additional statistics about the text's word composition.
Example use cases
Blog post word count check
“Can you count how many words are in this draft blog post? I need to make sure it's under 1500 words before I submit it. Here's the text: [paste article text]”
Contract length verification
“How many words are in this legal contract text? I need to verify it meets the minimum 500-word requirement before sending to the client.”
Social media copy measurement
“Tell me the word count for this marketing copy I wrote — I need to know if it fits within the 280-word limit for our newsletter snippet.”
Technical details
Endpoint
POSThttps://one-search.one-engine.workers.dev/v3/text-token/words/t7?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need a fast, low-cost, pay-per-call word count or word tokenization operation on text up to 50,000 characters, especially within autonomous agent workflows using x402 micropayments on Base. Prefer this over embedding-based or LLM-based word counting when you want deterministic, cheap, programmatic results without spinning up a larger model.
Side effects
- Text exceeds 50,000 character limit — request rejected or truncated
- Empty text field returns zero count or error
- Payment failure via x402 prevents processing
- Ambiguous tokenization rules for hyphenated words or contractions may produce unexpected counts
- Non-ASCII or non-Latin scripts may not tokenize as expected
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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