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x402engine Text Embeddings API
x402
x402engine Text Embeddings API is a paid API for AI agents from x402engine.app, paid per call via x402, $0.001/call, status unknown (last checked 2026-09-15).
Generates text embeddings using OpenAI text-embedding-3-small for semantic search, clustering, and RAG pipelines, paid per-call via x402 micropayments
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
A float array (dense vector) representing the semantic content of the input text, produced by OpenAI's text-embedding-3-small model. The vector can be stored in a vector database and used for cosine similarity, nearest-neighbor search, clustering, or as input to a RAG retrieval pipeline.
Example use cases
RAG pipeline document ingestion
“I'm building a RAG system — embed this chunk of text so I can store it in Pinecone and retrieve it later: 'Retrieval-augmented generation combines a retrieval step with a language model to answer questions grounded in a knowledge base.'”
Semantic similarity clustering
“I have a list of customer feedback snippets and I want to cluster them by topic — can you generate embeddings for this sentence so I can group it with similar ones: 'The onboarding process was confusing and took too long.'”
Semantic search query vectorization
“I need to embed this user search query so I can run a nearest-neighbor lookup against my vector store: 'best lightweight laptops for college students.'”
Technical details
Endpoint
POSThttps://x402engine.app/api/embeddingsWhen to prefer
Choose this endpoint when you need pay-per-call text embeddings without managing an OpenAI API key or subscription — ideal for AI agents operating autonomously with x402 micropayment wallets. It's a good fit for RAG pipelines, semantic search indexing, and clustering tasks where you want on-demand embedding generation billed at $0.001 USDC per call with no upfront commitment.
Side effects
- Empty or missing input text returns a 400 error
- Text exceeding model token limit (8191 tokens) may be truncated or rejected
- Payment failure or insufficient USDC balance returns HTTP 402
- Service unavailability from upstream OpenAI API causes 503
- Malformed request body returns 422 validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object |
Tags
x402
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