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PennyRail AI Embed Small
x402
PennyRail AI Embed Small is a paid API for AI agents from pennyrail.vercel.app, paid per call via x402, $0.005/call, status down (last checked 2026-11-04).
Generates small-sized vector embeddings for input data via a paid micropayment-gated API endpoint
Price / call$0.005
Success—
StatusDown
How this service works
Machine-readable settlement service
Output
Returns an object containing the embedding vector (dense numerical array) representing the semantic content of the input, suitable for use in vector databases, similarity search, or downstream ML tasks.
Example use cases
RAG document indexing pipeline
“I need to embed each chunk of my documentation so I can store them in Pinecone and do retrieval-augmented generation — can you vectorize this chunk: 'Our refund policy allows returns within 30 days of purchase.'”
Semantic similarity scoring
“Embed both of these sentences so I can compute their cosine similarity and check if they mean the same thing: 'How do I reset my password?' and 'Steps to recover account access.'”
Product description clustering
“Convert this product description to a small embedding vector so I can cluster it with similar items in my catalog: 'Wireless noise-cancelling over-ear headphones with 30-hour battery life.'”
Technical details
Endpoint
POSThttps://pennyrail.vercel.app/api/p/intel/ai.embed-small--proven-embed?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a lightweight, cost-effective embedding model (small variant) accessible via micropayment per call with no subscription required, ideal for low-volume or pay-as-you-go agent workflows using x402 payment rails.
Side effects
- Missing or malformed 'input' field returns a validation error
- Payment not settled via x402 protocol returns 402 Payment Required
- Oversized input payload may exceed model token limits and return an error
- Service unavailability on Vercel hosting returns 5xx errors
- Empty input object may produce a zero-length or degenerate embedding
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object |
Output
Schema · Response
{
"type": "object",
"additionalProperties": true
}Tags
x402
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