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PennyRail AI Chat Mini (v1)
x402
PennyRail AI Chat Mini (v1) is a paid API for AI agents from pennyrail.vercel.app, paid per call via x402, $0.02/call, status unknown (last checked 2026-09-14).
Provides access to a compact AI chat/language model via a paid x402 micropayment endpoint, returning a model-generated text response to a given input.
Price / call$0.02
Success—
StatusUnknown
How this service works
Machine-readable settlement service
Output
An object containing the AI model's generated text response to the provided input, returned as a loosely-typed JSON object with model-specific output fields.
Example use cases
Quick AI answers in agent pipeline
“Use the PennyRail mini chat model to answer this question for me: 'What are the top three use cases for vector databases?' I just need a short, clear response.”
Lightweight content drafting
“Ask the PennyRail AI chat mini to draft a two-sentence product description for a reusable water bottle that emphasizes sustainability and durability.”
Per-call LLM for cost-controlled automation
“I'm building an automation that needs cheap AI text responses without a subscription — use the PennyRail mini chat model to process this input: 'Translate the following to formal English: hey can u send me the report asap thx'.”
Technical details
Endpoint
POSThttps://pennyrail.vercel.app/api/p/premium/ai.chat-mini--v1-chatWhen to prefer
Choose this endpoint when you need a lightweight, per-call AI chat completion with no subscription commitment, billed via x402 USDC micropayments at $0.02 per call. Ideal for agent pipelines that require cost-controlled, pay-as-you-go LLM access without managing API keys or monthly billing. Best suited for simple prompt-response tasks where a 'mini' model's capability is sufficient.
Side effects
- Payment not included or insufficient (402 Payment Required — x402 payment header missing or underfunded)
- Malformed input object — missing required 'input' field returns a validation error
- Model unavailable or overloaded — upstream inference service may return 5xx errors
- Rate limiting if too many requests are sent in quick succession
- Ambiguous or empty input may yield low-quality or empty model output
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object |
Output
Schema · Response
{
"type": "object",
"additionalProperties": true
}Tags
x402
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