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PennyRail Large Embedding Model
x402
PennyRail Large Embedding Model is a paid API for AI agents from pennyrail.vercel.app, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-14).
Generates large-scale vector embeddings for input data using a proven embedding model via PennyRail's pay-per-call settlement infrastructure
Price / call$0.01
Success—
StatusUnknown
How this service works
Machine-readable settlement service
Output
Returns an object containing the embedding vector (a dense array of floating-point numbers) representing the semantic content of the input, produced by the proven-embed-large model. The response schema is open-ended and may include the vector array, model metadata, and token usage information.
Example use cases
RAG pipeline document indexing
“I need to vectorize this paragraph so I can index it in my vector store for retrieval-augmented generation: 'The quarterly earnings report showed a 12% increase in revenue driven by strong cloud segment growth.'”
Semantic similarity comparison
“Can you embed both of these customer support queries so I can compare how semantically similar they are? First: 'How do I reset my password?' Second: 'I forgot my login credentials and can't get in.'”
Clustering user feedback
“Generate a large-model embedding for this user review so I can cluster it with similar feedback: 'The onboarding was confusing but once I figured it out the product was really powerful.'”
Technical details
Endpoint
POSThttps://pennyrail.vercel.app/api/p/standard/ai.embed-large--proven-embed-largeWhen to prefer
Choose this endpoint when you need large-dimension, high-quality embeddings and are comfortable with per-call micropayment billing via x402/USDC. Prefer it over smaller embedding models when semantic fidelity and coverage matter more than latency or cost. It is well-suited for production RAG pipelines, semantic search indexing, and clustering tasks where embedding quality is critical.
Side effects
- Missing required 'input' field returns a validation error
- Malformed input object may return a 400 or schema error
- Payment failure via x402 protocol results in 402 Payment Required before processing begins
- Oversized input exceeding model token limits may return an error or truncation
- Network timeout on the Vercel-hosted endpoint under high load
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object |
Output
Schema · Response
{
"type": "object",
"additionalProperties": true
}Tags
x402
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