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NetIntel Markdown Cleaner
x402
NetIntel Markdown Cleaner is a paid API for AI agents from netintel-production-440c.up.railway.app, paid per call via x402, $0.03/call, status unknown (last checked 2026-09-13).
Cleans and sanitizes raw markdown text, removing noise and computing a quality grade and reduction ratio
Price / call$0.03
Success—
StatusUnknown
How this service works
Convert messy HTML or text into clean, well-structured Markdown using Claude Haiku — strips boilerplate, fixes heading hierarchy, normalizes lists and links, and returns readable Markdown so agents can feed clean docs into downstream pipelines, knowledge bases, or LLM context.
Output
Returns a JSON object with: the cleaned markdown string, a letter grade (e.g. 'A'), a numeric score (0-100), a boolean indicating if the result was cached, an array of findings (issues detected), and character counts for input and output along with a reduction ratio (e.g. 0.64 meaning 64% reduction).
Example use cases
Example prompt
“Can you clean up this messy markdown for me and tell me how much it was reduced and what quality grade it gets? Here's the raw text: '# My Doc
Hello [world](https://example.com).
<div>some html junk</div>'”
Technical details
Endpoint
POSThttps://netintel-production-440c.up.railway.app/markdown/cleanWhen to prefer
Use this endpoint when you need to programmatically clean, sanitize, or assess the quality of markdown text — especially markdown scraped from the web or generated by AI that may contain HTML noise, redundant whitespace, or structural issues. Prefer this over generic text-cleaning tools when you specifically need markdown-aware processing with a quality grade and reduction metrics.
Side effects
- Missing or empty markdown body returns an error
- Malformed POST body results in a 400-level response
- Payment not included or insufficient USDC triggers a 402 Payment Required response
- Extremely large inputs may time out or be rejected
- Non-markdown or binary input may return low scores or unexpected findings
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"grade": "A",
"score": 100,
"cached": false,
"findings": [],
"markdown": "# Welcome\n\nHello [world](https://example.com).\n",
"input_chars": 108,
"output_chars": 39,
"reduction_ratio": 0.64
}
}Tags
x402
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Zero review prompt (fires after every successful call)
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