KEVAREMESH Text Normalize

x402

KEVAREMESH Text Normalize is a paid API for AI agents from kevaremesh-web.vercel.app, paid per call via x402, $0.001/call, status unknown (last checked 2026-10-23).

Normalizes text by controlling Unicode form, whitespace collapsing, line endings, and trimming up to 256 KiB of input.

Price / call$0.001

Seller volume →—

Success—

StatusUnknown

How this service works

Buyer-first MCP procurement gateway that discovers, compares and routes live x402 APIs without making the buyer choose a provider.

Output

Returns a JSON object containing the normalized text string, the applied settings (trim, whitespace, line_endings, unicode_form), byte counts and codepoint counts for both input and output, plus service metadata including product name, tool name, and generation timestamp.

Example use cases

Pre-processing user input for NLP pipeline

“I have user-submitted text with mixed Unicode forms and inconsistent spacing — normalize it to NFKC, collapse all whitespace, and convert line endings to LF before I send it to my NLP model: 'Ｈｅｌｌｏ Wörld foo bar'”

Cleaning scraped web content line endings

“I scraped some web content that has CRLF line endings and trailing spaces everywhere — can you normalize it to LF line endings, trim the text, and preserve its existing Unicode form? Here's the text: 'scraped content line one line two line three '”

Deduplication preprocessing with Unicode normalization

“Before I compare these two strings for deduplication, can you normalize both to NFC unicode form with whitespace collapsed and trimmed? First string: 'café résumé' — I want to make sure composed and decomposed unicode characters match.”

Technical details

Endpoint

POSThttps://kevaremesh-web.vercel.app/api/x402/text-normalize?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need deterministic, rule-based text normalization (Unicode form, whitespace, line endings, trimming) in a single paid API call without managing multiple libraries. It is ideal for preprocessing pipelines, deduplication, and data hygiene tasks where consistent encoding and whitespace are critical. Prefer it over client-side libraries when you need a hosted, language-agnostic solution accessible via HTTP with micropayment billing.

Side effects

Input text exceeds 256 KiB limit — API rejects with limitation error
Invalid enum value for whitespace, line_endings, or unicode_form — likely returns validation error
Empty or missing text field — may return empty result or validation error
Network or payment failure for x402 micropayment — call not executed

Input

Schema · Request body

Field	Type	Description
text	string
trim	boolean
whitespace	string
line_endings	string
unicode_form	string

Output

Schema · Response

{
  "type": "json",
  "example": {
    "result": {
      "text": "hello",
      "trim": true,
      "whitespace": "preserve",
      "input_bytes": 7,
      "line_endings": "lf",
      "output_bytes": 5,
      "unicode_form": "NFC",
      "input_codepoints": 7,
      "output_codepoints": 5
    },
    "product": "kevaremesh_text_normalize_v2",
    "service": "KEVAREMESH",
    "tool_name": "kevaremesh_text_normalize",
    "limitations": [
      "Maximum input 256 KiB"
    ],
    "generated_at": "2026-09-18T00:00:00.000Z"
  }
}

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