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AgentRXI URL/Text Chunker with BGE-M3 Embeddings
x402
AgentRXI URL/Text Chunker with BGE-M3 Embeddings is a paid API for AI agents from agentrxi.com, paid per call via x402, $0.015/call, status unknown (last checked 2026-10-15).
Converts a URL (webpage, PDF, Office file) or raw text into overlapping chunks with character offsets and 1024-dimensional bge-m3 embeddings, ready for vector store ingestion.
Price / call$0.015
Success—
StatusUnknown
How this service works
Ready-to-search chunks: turns a URL (page, PDF, Office file) or text into clean overlapping chunks with character offsets and bge-m3 embeddings (1024 dims) in one call, ready for any vector store. Up to 300 chunks. Also callable as GET with the same fields as query parameters.
Output
Returns up to 300 text chunks, each with its character start/end offsets within the source document and a 1024-dimensional bge-m3 embedding vector, ready for direct insertion into any vector store.
Example use cases
RAG pipeline for a research PDF
“Take this PDF at https://arxiv.org/pdf/2401.00001 and break it into 800-character chunks with 150-character overlap, with bge-m3 embeddings included, so I can upload them to my Pinecone index.”
Indexing a knowledge-base article
“Chunk the support article at https://docs.myproduct.com/faq into overlapping 1000-character pieces and return the embeddings so my agent can do semantic search over it.”
Embedding raw pasted text
“I have this block of text I want to search over — can you split it into 500-character overlapping chunks with embeddings and give me back the character offsets for each chunk?”
Technical details
Endpoint
GEThttps://agentrxi.com/v1/chunk?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need chunking and embedding in a single pay-per-call step without managing your own embedding infrastructure. Ideal for RAG pipelines that need bge-m3 (multilingual, 1024-dim) embeddings with overlapping chunks and character offsets, especially when the source is a URL (webpage, PDF, or Office file) rather than pre-extracted text.
Side effects
- URL is unreachable or returns a non-200 response — chunk list will be empty or error returned
- Unsupported file type at URL — parsing may fail
- chunk_size outside 200–4000 range — validation error
- Text or URL input missing — required field error
- Document too large — may be truncated to 300 chunks maximum
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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