# 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 content using AI to detect policy violations, harmful material, or inappropriate content submitted via a structured input object

## Facts

- Endpoint: POST https://pennyrail.vercel.app/api/p/mini/ai.moderate--proven-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-bdb995b0
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_szgNHXBMjUOYY-eqR0uI3

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-bdb995b0 -d '<json body>'
```

Example prompt: Can you run this user comment through the AI moderation check and tell me if it violates any content policies? Here's the input: 'You're an idiot and I hope you fail.'

## When to prefer this

Choose this endpoint when you need a pay-per-call AI content moderation service with micropayment settlement via x402/USDC, requiring no subscription or API key setup. It is well-suited for low-volume or on-demand moderation tasks where per-call billing at $0.002 USDC is preferable to flat-rate alternatives. Prefer this over general-purpose LLM calls when you need a structured moderation signal with policy classification output.

## Known failure modes

- Missing or malformed 'input' object returns a validation error
- Payment failure via x402 protocol results in 402 Payment Required with no moderation result
- Ambiguous or empty content may return low-confidence or inconclusive moderation labels
- Rate limits or cold-start latency on Vercel serverless may cause timeouts
- Schema mismatch in the nested input object may produce unexpected results

## How this service works

Machine-readable settlement service

## Output

Returns a moderation result object containing classification labels, policy violation flags, and likely confidence or severity scores indicating whether the submitted content is safe, borderline, or violates content policies.

## 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-bdb995b0/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)