# PennyRail LLM Mini Proven - AI Text Generation Node

> PennyRail LLM Mini Proven - AI Text Generation Node is a paid API for AI agents from pennyrail.vercel.app, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-21).

Provides paid LLM inference via a micropayment-gated REST endpoint, processing AI language model requests for $0.01 USDC per call

## Facts

- Endpoint: POST https://pennyrail.vercel.app/api/p/standard/ai.llm-mini--proven-llm?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-21
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/pennyrail-llm-mini-proven-ai-text-generation-node-d706aeb4
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_ZdV_6pci58JRRdqbqHT4p

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability pennyrail-llm-mini-proven-ai-text-generation-node-d706aeb4 -d '<json body>'
```

Example prompt: Use the PennyRail LLM Mini endpoint to generate a short summary of this article — it costs one cent per call and I want to keep it cheap.

## When to prefer this

Choose this endpoint when you need extremely low-cost LLM inference at $0.01 per call, especially in high-volume agent pipelines where cost control matters. Prefer it over larger hosted models (GPT-4, Claude) when the task is simple enough for a mini/proven LLM tier and you want pay-per-use billing in USDC via the x402 protocol without API key subscriptions.

## Known failure modes

- Payment not included or invalid USDC amount returns 402 Payment Required
- Malformed input object missing required 'input' field returns 400 Bad Request
- Model backend unavailable returns 503 or 500 error
- Insufficient USDC balance causes payment failure before inference executes
- Rate limiting or abuse detection may block repeated rapid calls

## How this service works

Machine-readable settlement service

## Output

Returns a JSON object with the LLM-generated response to the submitted input prompt; schema is open-ended (additionalProperties: true), so the exact shape of the response fields depends on the underlying model configuration but typically includes the generated text output.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "required": [
  "input"
 ],
 "properties": {
  "input": {
   "type": "object"
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "object",
 "additionalProperties": true
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/pennyrail-llm-mini-proven-ai-text-generation-node-d706aeb4/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from pennyrail.vercel.app](https://www.zero.xyz/host/pennyrail.vercel.app/llms.txt)