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PennyRail Text Normalize Whitespace
x402
PennyRail Text Normalize Whitespace is a paid API for AI agents from pennyrail.vercel.app, paid per call via x402, $0.001/call, status unknown (last checked 2026-09-14).
Normalizes whitespace in a text string by removing or collapsing extra spaces
Price / call$0.001
Success—
StatusUnknown
How this service works
Machine-readable settlement service
Output
A JSON object containing the whitespace-normalized version of the input string, with consecutive spaces collapsed and leading/trailing whitespace removed.
Example use cases
Clean user-submitted form text
“A user just submitted a contact form and the message has loads of extra spaces between words — can you normalize all the whitespace so it reads cleanly? Here's the text: 'Dear team, I wanted to reach out about your product.'”
Preprocess text before NLP pipeline
“Before I run this paragraph through my sentiment model, can you strip out all the extra spaces so it's consistently formatted? The input is: 'The product was great but shipping was slow.'”
Fix copy-pasted text spacing
“I copy-pasted some content from a PDF and it came out with double and triple spaces everywhere — can you normalize the whitespace so it looks like normal text? Here it is: 'Annual Report 2024 — Financial Overview'”
Technical details
Endpoint
POSThttps://pennyrail.vercel.app/api/p/nano/text.normalize-whitespace--extra-spacesWhen to prefer
Use this endpoint when you need a simple, lightweight, pay-per-call text whitespace normalization without setting up a local library or NLP pipeline. Ideal for agent workflows that process untrusted or user-submitted text in small volumes where spinning up a full text-processing service is overkill.
Side effects
- Missing 'input' field returns a validation error
- Empty string input may return an empty string or error
- Very long strings may exceed size limits
- Non-string input types may cause a type error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | string |
Output
Schema · Response
{
"type": "object",
"additionalProperties": true
}Tags
x402
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