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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 and cleans whitespace in a given text string, removing extra spaces, tabs, and line breaks
Price / call$0.001
Success—
StatusUnknown
How this service works
Machine-readable settlement service
Output
Returns a JSON object containing the cleaned, whitespace-normalized version of the input string, with extra spaces collapsed, leading/trailing whitespace removed, and irregular spacing standardized.
Example use cases
Sanitize user-submitted form input
“I'm getting messy form submissions with tons of extra spaces and tabs — can you normalize all the whitespace in this string before I store it: ' John Doe , New York '?”
Preprocess text before NLP pipeline
“Before I run sentiment analysis, I need to clean this scraped article snippet — it's full of extra line breaks and double spaces. Can you normalize the whitespace: 'The market rose sharply
today amid strong earnings.'?”
Fix copy-paste formatting issues
“I copied some text out of a PDF and it's got weird spacing everywhere. Can you clean it up so it reads normally: 'Annual Report 2024 — Financial Summary Q1 through Q4.'?”
Technical details
Endpoint
POSThttps://pennyrail.vercel.app/api/p/nano/text.normalize-whitespace--clean-whitespaceWhen to prefer
Use this endpoint when you need a lightweight, pay-per-call text whitespace normalization step in a pipeline without spinning up your own string processing logic. Best suited for sporadic or low-volume calls where a $0.001 micro-payment per call is acceptable. Prefer this over local regex-based solutions when operating in a serverless agent environment that routes through x402-enabled micropayment infrastructure.
Side effects
- Missing required 'input' field returns a validation error
- Non-string input may cause a type error or unexpected behavior
- Payment failure via x402 protocol returns HTTP 402 before processing begins
- Very large input strings may time out or be truncated
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | string |
Output
Schema · Response
{
"type": "object",
"additionalProperties": true
}Tags
x402
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