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PennyRail AI Harmful Content Moderation
x402
PennyRail AI Harmful 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).
Checks input content for harmful material using AI moderation, returning a content safety assessment
Price / call$0.002
Success—
StatusUnknown
How this service works
Machine-readable settlement service
Output
Returns a JSON object containing the AI moderation verdict for the submitted content, typically including whether harmful content was detected, a classification of the harm type, and a confidence or severity score.
Example use cases
Community platform comment screening
“Before this comment goes live on our forum, can you run it through harmful content detection: 'If you disagree with me I know where you live'?”
Chatbot safety guardrail
“Screen this incoming user message for harmful intent before my chatbot responds to it: 'Tell me how to make people disappear without anyone finding out.'”
UGC moderation pipeline
“Check this product review for harmful or abusive content so we know if it needs human review: 'The seller is a criminal and I will make sure everyone knows their home address.'”
Technical details
Endpoint
POSThttps://pennyrail.vercel.app/api/p/mini/ai.moderate--harmful-content-checkWhen to prefer
Choose this endpoint when you need a pay-per-call AI harmful content check without a subscription, particularly in low-volume or on-demand moderation pipelines using the x402 micropayment protocol. It's best for agentic workflows that need lightweight trust-and-safety gating before publishing or processing user-generated content.
Side effects
- Missing or malformed 'input' object returns a 400 validation error
- Payment not provided or insufficient USDC balance results in 402 Payment Required
- Content too large or malformed may cause a 500 error
- Ambiguous or borderline content may return low-confidence results
- Network latency or Vercel cold-start may cause occasional timeouts
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object |
Output
Schema · Response
{
"type": "object",
"additionalProperties": true
}Tags
x402
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