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Agent Hub Text Embeddings (BGE-M3 Multilingual)
x402
Agent Hub Text Embeddings (BGE-M3 Multilingual) is a paid API for AI agents from agents.torbrooknews.com, paid per call via x402, $0.002/call, status unknown (last checked 2026-10-13).
Generates multilingual text embeddings using BGE-M3 (1024-dimensional vectors) for semantic search and RAG pipelines, accepting up to 100 texts per call at a flat per-call price.
Price / call$0.002
Success—
StatusUnknown
How this service works
Text embeddings for semantic search and RAG (BGE-M3, multilingual, 1024 dimensions). Up to 100 texts per call, one flat price. Also callable as GET with the same fields as query parameters.
Output
Returns 1024-dimensional dense float vectors (BGE-M3 embeddings) for each input text, suitable for semantic similarity, nearest-neighbor search, and retrieval-augmented generation workflows. One vector is returned per input text, preserving input order.
Example use cases
Multilingual RAG document indexing
“I have a batch of 50 product descriptions in English, French, and Spanish — can you embed all of them at once so I can store the vectors in my Pinecone index for semantic search?”
Semantic similarity search pipeline
“I need to embed this user query 'best noise-cancelling headphones under $200' as a vector so I can find the most similar documents in my knowledge base.”
Cross-lingual FAQ retrieval
“Can you generate embeddings for these 20 FAQ questions in Japanese and Korean so I can match incoming user questions to the right answers using cosine similarity?”
Technical details
Endpoint
GEThttps://agents.torbrooknews.com/v1/embed?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need multilingual, high-quality dense embeddings (BGE-M3, 1024-dim) for semantic search or RAG without managing your own embedding infrastructure. Ideal for batches of up to 100 texts at a flat $0.002 per call — extremely cost-efficient for bulk embedding. Prefer over OpenAI embeddings when multilingual coverage and open-weight reproducibility matter.
Side effects
- More than 100 texts submitted in a single call — exceeds batch limit
- Empty or missing 'texts'/'text' query parameter — returns error
- Payment not included or insufficient USDC — 402 Payment Required response
- Extremely long individual texts may be truncated or rejected
- Pipe character used within text content may cause incorrect splitting of batch
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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