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Aayat AI Text Embeddings
x402
Aayat AI Text Embeddings is a paid API for AI agents from aayatai.com, paid per call via x402, $0.002/call, status unknown (last checked 2026-10-02).
Generates 1024-dimension multilingual text embeddings using BGE-M3 for semantic search, clustering, and RAG pipelines
Price / call$0.002
Success—
StatusUnknown
How this service works
Text embeddings for semantic search, clustering and RAG: 1024-dimension multilingual vectors (BGE-M3, 100+ languages). POST JSON {"input": ["first text", "second text"]} (up to 32 texts of 8,000 characters) or {"text": "one text"}. One price per call, however many texts. No API key needed.
Output
Returns a JSON object with the model name (@cf/baai/bge-m3), the embedding dimensionality (1024), and an array of float arrays — one 1024-element vector per input text — suitable for insertion into vector stores or cosine similarity computation.
Example use cases
RAG pipeline document indexing
“I'm building a retrieval-augmented generation system — embed these three chunks from my knowledge base so I can store them in Pinecone: 'Our refund policy allows returns within 30 days', 'Shipping takes 3-5 business days', 'Contact support at help@example.com'.”
Multilingual semantic search
“I have a user query in French — 'Quels sont les meilleurs restaurants à Paris?' — can you generate a BGE-M3 embedding for it so I can do a semantic search across my multilingual restaurant database?”
Clustering customer feedback
“Embed these five customer reviews so I can cluster them by topic: 'Great battery life', 'Arrived damaged in the box', 'Setup was super easy', 'The screen is too dim', 'Packed really well for shipping'.”
Technical details
Endpoint
POSThttps://aayatai.com/embeddings?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need high-quality multilingual embeddings (100+ languages) at a flat per-call price regardless of batch size, making it cost-efficient for batches of up to 32 texts. Prefer it over OpenAI or Cohere embedding APIs when you want no API key setup, x402 micropayment billing, and BGE-M3 quality at a predictable $0.002/call flat rate.
Side effects
- Input array exceeds 32 texts — API rejects with error
- Individual text exceeds 8,000 characters — may be truncated or rejected
- Payment of 0.002 USDC not attached or fails — 402 Payment Required response
- Neither 'text' nor 'input' field provided — malformed request error
- Network timeout for large batches of long texts
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| text | string | A single text to embed (instead of input). |
| input | array | Texts to embed. |
Output
Schema · Response
{
"type": "json",
"example": {
"model": "@cf/baai/bge-m3",
"dimensions": 1024,
"embeddings": [
[
0.012,
-0.034,
0.056
],
[
0.021,
-0.011,
0.047
]
]
}
}Tags
x402
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