# PennyRail AI Content Moderation

> PennyRail AI Content Moderation is a paid API for AI agents from pennyrail.vercel.app, paid per call via x402, $0.002/call, status unknown (last checked 2026-09-14).

Moderates input content using AI to detect policy violations, harmful content, or inappropriate material

## Facts

- Endpoint: POST https://pennyrail.vercel.app/api/p/mini/ai.moderate--moderate
- Price: $0.002/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-14
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/pennyrail-ai-content-moderation-335de30c
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_ICLtXuGnya8W4jHBNpxZW

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-ai-content-moderation-335de30c -d '<json body>'
```

Example prompt: Can you run this user comment through AI moderation and tell me if it violates any content policies: 'You are all idiots and I hope you fail miserably'?

## When to prefer this

Choose this endpoint when you need a low-cost ($0.002 USDC per call), pay-per-use AI moderation check via x402 micropayment protocol — ideal for agents that need on-demand content screening without a SaaS subscription, or when integrating moderation into a blockchain-native or crypto-payment workflow.

## Known failure modes

- Missing or malformed 'input' object returns a validation error
- Empty input object may produce undefined moderation results
- Payment of $0.002 USDC not provided triggers a 402 Payment Required response
- Service unavailability on Vercel infrastructure causes 5xx errors
- Ambiguous or very short inputs may produce low-confidence or inconclusive moderation results

## How this service works

Machine-readable settlement service

## Output

Returns a JSON object containing moderation outcomes such as classification labels (e.g. safe, unsafe, categories of violation), confidence scores, and flags indicating which content policies were triggered by the submitted input.

## 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-ai-content-moderation-335de30c/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)