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PennyRail AI Embeddings (proven-v1)
x402
PennyRail AI Embeddings (proven-v1) is a paid API for AI agents from pennyrail.vercel.app, paid per call via x402, $0.002/call, status down (last checked 2026-10-22).
Generates vector embeddings for input data using a proven v1 embeddings model, accessible via micropayment-gated API
Price / call$0.002
Success—
StatusDown
How this service works
Machine-readable settlement service
Output
Returns an object containing the vector embedding (numerical array) representing the input, suitable for downstream similarity, search, clustering, or ML tasks. The response schema is open-ended (additionalProperties: true), so exact field names may vary but will include embedding data.
Example use cases
RAG pipeline document indexing
“I need to vectorize this paragraph so I can store it in my vector database for retrieval-augmented generation — embed this for me: 'Our refund policy allows returns within 30 days of purchase with a valid receipt.'”
Semantic similarity scoring
“Can you get embeddings for both of these sentences so I can compute how semantically similar they are? First: 'the cat sat on the mat', second: 'a feline rested on a rug.'”
Clustering user feedback
“Embed this user review so I can cluster it with similar feedback in my recommendation engine: 'Battery life is excellent but the screen brightness could be improved.'”
Technical details
Endpoint
POSThttps://pennyrail.vercel.app/api/p/mini/ai.v1-embeddings--proven-v1-embeddings?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need pay-per-call vector embeddings with no subscription commitment, priced at $0.002 USDC per call via x402 micropayments. Ideal for agents running in crypto-native or x402-compatible environments that want to avoid API key management and prefer on-demand billing. Not ideal if you need guaranteed SLA, bulk discounts, or a well-documented schema.
Side effects
- Missing required 'input' field returns validation error
- Payment not provided or insufficient USDC causes 402 Payment Required
- Malformed input object may return 400 Bad Request
- Service unavailability on Vercel deployment returns 503
- Empty or null input may produce degenerate embeddings or an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object |
Output
Schema · Response
{
"type": "object",
"additionalProperties": true
}Tags
x402
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