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Markdown to JSON Token Tree
x402
Markdown to JSON Token Tree is a paid API for AI agents from toolshed.lemon-agent.dev, paid per call via x402, $0.004/call, status unknown (last checked 2026-09-14).
Converts raw Markdown text into a structured JSON token stream (marked lexer tokens) plus a heading-derived table of contents
Price / call$0.004
Success—
StatusUnknown
How this service works
Markdown to a JSON token tree. POST Markdown; the response is {"toc": [{depth, text}], "tokens": [...]} — the marked lexer's token stream plus a table of contents derived from the real headings. The document's structure without rendering it to HTML and parsing that back. A bold line pretending to be a heading was never structure and is not in the toc.
Output
A JSON object with two keys: 'toc' (an array of objects with 'depth' and 'text' fields, one per genuine heading in the document) and 'tokens' (the full marked lexer token stream array representing every block-level element in the markdown). Only real headings (# syntax) appear in the toc — bold text styled to look like headings is excluded.
Example use cases
Extract doc outline for navigation
“I have this big markdown README file — can you parse it into a JSON token tree so I can pull out all the headings and build a navigation sidebar from the table of contents?”
Validate heading structure before publishing
“Before I publish this markdown spec, can you convert it to a JSON token tree so I can programmatically check that every section heading is at the right depth and nothing was accidentally bolded instead of heading-formatted?”
Feed markdown structure into a pipeline
“I need to process this markdown file in my data pipeline — parse it into its marked lexer token stream as JSON so I can extract and transform specific block types without going through HTML.”
Technical details
Endpoint
POSThttps://toolshed.lemon-agent.dev/convert/markdown-jsonWhen to prefer
Choose this endpoint when you need the structural parse tree of a Markdown document — specifically the lexer token stream and heading-accurate table of contents — rather than rendered HTML output. It is ideal when you want to programmatically inspect or transform markdown structure (e.g. extract all headings, validate document outline, feed tokens into a pipeline) without round-tripping through HTML. Prefer it over the sibling Markdown-to-HTML endpoint when you need machine-readable structure, and over the frontmatter endpoint when you need the full document body tokenized, not just the YAML front matter.
Side effects
- Input exceeds 256 KB limit — request rejected
- Malformed or non-UTF-8 body — parse error returned
- Empty body — returns empty toc and tokens arrays
- Non-markdown plain text — tokenized but toc may be empty if no headings present
- Payment failure — 402 response before processing begins
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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