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Lordevo Text Chunker for RAG
x402
Lordevo Text Chunker for RAG is a paid API for AI agents from shop.lordevo.com, paid per call via x402, $0.002/call, status unknown (last checked 2026-10-31).
Splits plain text or a public webpage into heading-aware, token-sized chunks with overlap for RAG ingestion, returning each chunk's heading path and approximate token count.
Price / call$0.002
Success—
StatusUnknown
How this service works
Text chunker for RAG (heading-aware, token-sized chunks): Splits text you send, or the main content of one public page, into heading-aware chunks of at most max_tokens with optional overlap, each with its heading path and an approximate token count, for RAG ingestion. Input: text (POST for long text
Output
Returns a JSON object with an array of chunks, each containing: the chunk text, its sequential index, the heading it falls under, the full heading path (breadcrumb), and an approximate token count. Also includes top-level metadata: source type (text or url), total chunk count, max_tokens setting, overlap_tokens setting, total token estimate, and a truncated flag if input was trimmed.
Example use cases
Chunking a knowledge base article
“Take this 5,000-word support documentation page at https://docs.example.com/setup-guide and split it into heading-aware chunks of at most 400 tokens with 60 tokens of overlap so I can index them into my vector database.”
Preparing a research paper for RAG
“I have a long academic paper I'm pasting below — can you break it into chunks of no more than 600 tokens each, with 80 tokens of overlap, keeping the heading structure so I know which section each chunk belongs to?”
Indexing a public blog post
“Chunk the content from https://blog.mysite.com/intro-to-llms into 500-token pieces with 50 tokens of overlap so I can embed them for semantic search — make sure each chunk includes its heading path.”
Technical details
Endpoint
GEThttps://shop.lordevo.com/api/quick/text-chunk?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need heading-aware chunking that preserves document structure (heading paths) alongside token-controlled splitting with configurable overlap — ideal for RAG pipelines where semantic context and section provenance matter. Prefer it over generic text splitters when you need to chunk a live public webpage by URL without preprocessing, or when you need approximate token counts per chunk for downstream embedding budget management.
Side effects
- Missing 'text' or 'url' parameter returns an error requesting at least one input
- Text exceeding 400,000 characters may be truncated (truncated flag set to true)
- Invalid max_tokens value outside 50–4000 range returns a validation error
- Non-public or unreachable URL returns a fetch error
- overlap_tokens exceeding half of max_tokens returns a validation error
- Malformed URL format returns a parsing error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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