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User Guide Whitespace Normalisation
x402
User Guide Whitespace Normalisation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-14).
Normalises whitespace in Markdown or plain-text user guide documents, returning a cleaned, consistently formatted version up to 20,000 characters.
Price / call$0.01
Success—
StatusUnknown
How this service works
User guide - Whitespace normalisation: Whitespace normalisation for User guide. Supplied Markdown or plain text, up to 20,000 characters. Deterministic processing and document templates; no generative prose or fact checking. One of 25 profiles or calculations across 20 shared operations in this sector. 0.01 USDC includes one bounded whitespace normalisation deliverable.
Output
A whitespace-normalised version of the submitted Markdown or plain-text document, with consistent spacing, trimmed trailing whitespace, and standardised blank lines, returned as a single cleaned text deliverable.
Example use cases
Clean up documentation before publishing
“I've finished drafting this user guide in Markdown but there are inconsistent blank lines and trailing spaces all over the place — can you normalise the whitespace so it looks consistent before I publish it?”
Standardise imported plain-text help content
“I just imported a bunch of plain-text help articles from our old system and the spacing is a mess. Can you run whitespace normalisation on this text so it's consistently formatted?”
Pre-process docs for downstream rendering
“Before I feed this Markdown user guide into our documentation renderer, I need the whitespace cleaned up and standardised — can you normalise it for me? Here's the content.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-writing-user-guide-normalise?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need deterministic, rule-based whitespace normalisation on Markdown or plain-text user guide content — no generative AI, no hallucination risk, and a fixed $0.01 USDC cost per document. Prefer it over general-purpose LLM text cleanup when you need consistent, repeatable results from a template-driven process.
Side effects
- Input text exceeds 20,000 character limit — request rejected
- Empty or missing 'text' field — processing cannot proceed
- Malformed request body — returns error response
- Input contains binary or non-text content — normalisation undefined
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| text | string |
Tags
x402
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