# PennyRail Base32 Encoder

> PennyRail Base32 Encoder is a paid API for AI agents from pennyrail.vercel.app, paid per call via x402, $0.001/call, status unknown (last checked 2026-10-30).

Encodes input data into Base32 format via a paid micro-service endpoint

## Facts

- Endpoint: POST https://pennyrail.vercel.app/api/p/nano/encoding.base32--base32-encode?utm_source=zero.xyz
- Price: $0.001/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-30
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/pennyrail-base32-encoder-42cb25be
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_ddmDppaWunI85nB0XqKBu

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-base32-encoder-42cb25be -d '<json body>'
```

Example prompt: Can you base32-encode this string for me: 'Hello, World!'?

## When to prefer this

Choose this endpoint when you need a quick, pay-per-use base32 encoding operation without setting up a local encoding library, especially in agent workflows where micro-payment APIs via x402 are already integrated. Useful when base32 encoding is a rare step in a pipeline and a local dependency is undesirable.

## Known failure modes

- Missing or malformed 'input' object in request body returns a validation error
- Input data type not supported by the base32 encoder may return an error or unexpected output
- Network timeout or service unavailability on Vercel hosting may cause 5xx errors
- Payment failure or insufficient USDC balance may result in a 402 Payment Required response blocking the call

## How this service works

Machine-readable settlement service

## Output

Returns a JSON object containing the base32-encoded representation of the provided input data. The response includes the encoded string output that can be used for downstream transmission, storage, or authentication workflows.

## 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-base32-encoder-42cb25be/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)