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PennyRail AI Embeddings v1
x402
PennyRail AI Embeddings v1 is a paid API for AI agents from pennyrail.vercel.app, paid per call via x402, $0.002/call, status unknown (last checked 2026-09-15).
Generates vector embeddings for input data via a pay-per-call settlement endpoint using the x402 micropayment protocol
Price / call$0.002
Success—
StatusUnknown
How this service works
Machine-readable settlement service
Output
Returns a JSON object containing the vector embedding (numerical array) representing the semantic content of the input, suitable for downstream tasks like similarity search, clustering, or storage in a vector database.
Example use cases
RAG pipeline document indexing
“Embed this document chunk so I can store it in my vector database for retrieval-augmented generation: 'Our return policy allows customers to return items within 30 days of purchase.'”
Semantic search query encoding
“Convert my user's search query 'best noise-cancelling headphones under $200' into an embedding vector so I can find the closest matching products in my catalog.”
Text similarity comparison
“I need embeddings for both of these sentences so I can measure how semantically similar they are: 'The patient has a fever' and 'The individual is running a high temperature.'”
Technical details
Endpoint
POSThttps://pennyrail.vercel.app/api/p/mini/ai.v1-embeddings--v1-embeddingsWhen to prefer
Choose this endpoint when you need on-demand, pay-per-call text embeddings without a subscription or API key commitment, especially in agentic workflows where micropayments via x402 are already supported. Ideal for low-volume or variable-load embedding needs billed per request in USDC.
Side effects
- Missing or malformed 'input' field returns a validation error
- Payment not settled via x402 protocol returns HTTP 402 Payment Required
- Oversized input exceeding token limits may return a 400 or truncation error
- Network or provider backend failures return 5xx errors
- Invalid content type or malformed JSON body returns 400
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object |
Output
Schema · Response
{
"type": "object",
"additionalProperties": true
}Tags
x402
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