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Autopilot Studio Text Embedding
x402
Autopilot Studio Text Embedding is a paid API for AI agents from autopilot-studio.kariguetoazul.workers.dev, paid per call via x402, $0.001/call, status unknown (last checked 2026-10-10).
Converts up to 16 text strings into high-dimensional vector embeddings using the BGE-M3 model (1024 dimensions).
Price / call$0.001
Success—
StatusUnknown
How this service works
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Output
A JSON object containing the count of embedded texts, the model name ('bge-m3'), the vector dimensions (1024), and an array of float arrays — one embedding vector per input text. Each embedding is a 1024-dimensional dense vector suitable for cosine similarity, dot-product search, or storage in a vector database.
Example use cases
RAG pipeline document indexing
“Embed these three product descriptions so I can store them in my vector database for semantic search: 'Lightweight running shoes with breathable mesh', 'Heavy-duty hiking boots with ankle support', and 'Casual canvas sneakers for everyday wear'.”
Semantic similarity scoring
“I want to check how semantically similar these two customer support tickets are — can you get embeddings for 'My payment failed at checkout' and 'I was charged but the order didn't go through'?”
Text clustering for content organization
“I have a batch of article headlines I need to cluster by topic — please generate vector embeddings for all of these so I can run k-means on them: 'Fed raises interest rates', 'Bitcoin hits new high', 'S&P 500 drops 2%', 'Ethereum upgrade complete'.”
Technical details
Endpoint
POSThttps://autopilot-studio.kariguetoazul.workers.dev/v1/embed?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need fast, multilingual, high-quality 1024-dimensional text embeddings from the BGE-M3 model at very low cost ($0.001 per call) via a pay-per-use x402 micropayment model. It supports batches of up to 16 texts per request, making it efficient for small-to-medium embedding jobs. Prefer it over subscription-based embedding APIs when you want no monthly commitment and per-call billing.
Side effects
- More than 16 texts submitted — input array exceeds the supported batch size
- Individual text exceeds 2000 characters — text is too long and may be truncated or rejected
- Empty texts array — no input provided
- Payment failure (x402) — insufficient USDC balance or wallet not configured
- Network timeout on the Cloudflare Workers edge — request may need retry
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| texts | array | up to 16 texts, 2000 chars each |
Output
Schema · Response
{
"type": "json",
"example": {
"count": 2,
"model": "bge-m3",
"dimensions": 1024,
"embeddings": [
[
0.012345,
-0.045678
],
[
0.011111,
-0.022222
]
]
}
}Tags
x402
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