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OpenAI Text Embeddings via x402 Gateway
x402
OpenAI Text Embeddings via x402 Gateway is a paid API for AI agents from x402-gateway-production.up.railway.app, paid per call via x402, $0.001/call, status unknown (last checked 2026-09-15).
Generates vector embeddings for text using OpenAI's text-embedding-3-small model, enabling semantic search, clustering, and RAG pipelines
Price / call$0.001
Success—
StatusUnknown
How this service works
Generate text embeddings using OpenAI text-embedding-3-small — for semantic search, clustering, RAG
Output
Returns a high-dimensional float vector (embedding) representing the semantic content of the input text, produced by OpenAI's text-embedding-3-small model, suitable for cosine similarity comparisons, nearest-neighbor search, and clustering.
Example use cases
Example prompt
“Generate a text embedding for this sentence using OpenAI text-embedding-3-small so I can store it in my vector database for semantic search: 'The quick brown fox jumps over the lazy dog.'”
Technical details
Endpoint
POSThttps://x402-gateway-production.up.railway.app/api/embeddingsWhen to prefer
Choose this endpoint when you need fast, cost-efficient text embeddings backed by OpenAI's text-embedding-3-small model and want to pay per-call via USDC without a subscription. Ideal for agents building RAG pipelines, semantic search indexes, or clustering workflows that require reliable OpenAI-quality embeddings with micropayment-based access.
Side effects
- Empty or missing text input returns a 400 error
- Text exceeding model token limit (8191 tokens) may be truncated or rejected
- Insufficient USDC balance / failed x402 payment results in 402 Payment Required
- OpenAI API upstream failure returns 502 or 503
- Rate limiting may cause 429 Too Many Requests
Input
{
"text": "The quick brown fox jumps over the lazy dog."
}Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object |
Output
{
"_truncated": true,
"_originalSize": 29458
}Tags
x402
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