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PennyRail LLM-Mini Inference Endpoint
x402
PennyRail LLM-Mini Inference Endpoint is a paid API for AI agents from pennyrail.vercel.app, paid per call via x402, $0.01/call, status down (last checked 2026-11-04).
Runs a mini LLM inference job via PennyRail's pay-per-call settlement layer for $0.01 USDC per request
Price / call$0.01
Success—
StatusDown
How this service works
Machine-readable settlement service
Output
Returns a JSON object with the LLM's inference output — typically generated text or a structured response — shaped by the input payload. The response schema is open (additionalProperties: true), so the exact fields depend on what the mini LLM model returns for the given input.
Example use cases
Automated microtask text summarization
“Use PennyRail's mini LLM to summarize this support ticket in one sentence and charge the $0.01 USDC fee automatically: 'User reports that login fails after password reset on mobile Safari version 17.'”
Pay-per-call AI classification pipeline
“Send this product review to PennyRail's LLM-mini endpoint and classify it as positive, negative, or neutral — settle the micropayment and return the label: 'Great battery life but the screen is too dim indoors.'”
Low-cost agent subtask generation
“I need PennyRail's mini LLM to generate three bullet-point action items from this meeting note and pay the $0.01 USDC per-call fee: 'Team agreed to ship the feature by Friday, write tests, and update the changelog.'”
Technical details
Endpoint
POSThttps://pennyrail.vercel.app/api/p/standard/ai.llm-mini--llm?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need extremely low-cost LLM inference ($0.01 per call) with automatic USDC micropayment settlement via the x402 protocol — ideal for high-volume agentic pipelines where per-call cost control and on-chain payment auditability matter more than model capability. Prefer this over full-sized LLM APIs for lightweight subtasks like classification, short summarization, or template filling where a mini model suffices.
Side effects
- Payment failure: insufficient USDC balance or x402 settlement rejection returns a 402 Payment Required error
- Invalid input: missing required 'input' field returns a 400 Bad Request
- Model overload or timeout: mini LLM backend may return 503 or timeout under load
- Malformed input object: passing non-object types to 'input' may produce unpredictable or empty responses
- Response schema variability: since additionalProperties is unconstrained, downstream parsers must handle unknown fields gracefully
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object |
Output
Schema · Response
{
"type": "object",
"additionalProperties": true
}Tags
x402
Reviews
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