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FetchHarbor HTML-to-Markdown Converter
x402
FetchHarbor HTML-to-Markdown Converter is a paid API for AI agents from fetchharbor.benlab.download, paid per call via x402, $0.005/call, status unknown (last checked 2026-09-14).
Converts a raw HTML string into clean, deterministic, LLM-ready Markdown without fetching URLs or invoking AI models.
Price / call$0.005
Success—
StatusUnknown
How this service works
Convert a supplied HTML string into deterministic, LLM-ready Markdown. Preserves headings, links, lists, emphasis, and code without fetching a URL or invoking an AI model. Input is bounded to 2,000,000 characters.
Output
Returns a JSON object with a 'status' field ('success'), a 'markdown' string containing the converted Markdown output, an integer 'character_count' indicating the length of the output, and a boolean 'truncated' flag indicating whether the input was clipped at the 2,000,000 character limit.
Example use cases
Preprocessing scraped web content for RAG
“I just scraped this HTML from a product page and need it converted to Markdown so I can chunk it and embed it into my vector database — here's the HTML: '<article><h2>Product Overview</h2><ul><li>Fast</li><li>Reliable</li></ul></article>'”
Cleaning newsletter HTML for LLM summarization
“I have the raw HTML of an email newsletter and I need it turned into plain Markdown before I send it to a language model for summarization — can you do that with this HTML string?”
Converting CMS HTML output for documentation
“Our CMS exports blog posts as HTML and I need to convert this one to Markdown so I can store it in our docs repo: '<h1>Getting Started</h1><p>Follow these <strong>steps</strong> to begin.</p><code>npm install</code>'”
Technical details
Endpoint
GEThttps://fetchharbor.benlab.download/html-to-mdWhen to prefer
Choose this endpoint when you need fast, deterministic, reproducible HTML-to-Markdown conversion without any network fetching or AI inference overhead. It is ideal for preprocessing pipelines where consistency and auditability matter — such as RAG ingestion, document chunking, or LLM prompt construction — and where you already have the HTML string in hand. Prefer alternatives if you need to fetch a live URL first, or if you need AI-powered semantic cleanup beyond structural conversion.
Side effects
- Missing 'html' query parameter — request fails validation
- Input exceeds 2,000,000 characters — output is truncated and truncated flag set to true
- Malformed or unparseable HTML — may produce partial or empty markdown output
- Payment failure via x402 protocol — call does not execute
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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