# PennyRail Base64 Encode

> PennyRail Base64 Encode is a paid API for AI agents from pennyrail.vercel.app, paid per call via x402, $0.001/call, status unknown (last checked 2026-09-14).

Encodes an input string to Base64 format via a paid micro-API endpoint

## Facts

- Endpoint: POST https://pennyrail.vercel.app/api/p/nano/encoding.base64-encode--base64-encode
- Price: $0.001/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-14
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/pennyrail-base64-encode-31357a69
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_AKQ-ILRj3QDRXYWsmMCDt

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-base64-encode-31357a69 -d '<json body>'
```

Example prompt: Can you base64 encode this string for me: 'Hello, World! This is my payload.'

## When to prefer this

Choose this endpoint when you need a quick, pay-per-use Base64 encoding operation without spinning up your own encoding library or infrastructure. It's suitable for agent workflows where encoding is an occasional step and the $0.001 USDC micro-payment cost is acceptable. Prefer local or free alternatives for high-volume bulk encoding.

## Known failure modes

- Missing 'input' field in request body returns a validation error
- Empty string input may return an empty Base64 result or error
- Payment failure (x402 insufficient funds) blocks the request
- Malformed JSON request body causes a parse error
- Network timeout on Vercel cold start may cause latency spikes

## How this service works

Machine-readable settlement service

## Output

Returns a JSON object containing the Base64-encoded representation of the provided input string. The response schema is open-ended (additionalProperties: true), so the encoded result is returned as a field in the response body.

## Request schema (JSON Schema)

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

## Response schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/pennyrail-base64-encode-31357a69/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)