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PennyRail AI Content Moderation
x402
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
Price / call$0.002
Success—
StatusUnknown
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.
Example use cases
Screening user comments before publish
“Before posting this comment to our forum, run it through AI moderation and tell me if it contains hate speech, harassment, or other policy violations: 'These people shouldn't be allowed in our country.'”
Chat app safety filter
“I need to check this chat message for harmful content before it gets delivered to the other user — run it through moderation: 'Just wait until I find you, you'll regret this.'”
Marketplace listing review
“Moderate this product listing description to see if it contains prohibited content or policy violations before we approve it for our marketplace: 'Untraceable ghost gun parts, ships discreetly, no questions asked.'”
Technical details
Endpoint
POSThttps://pennyrail.vercel.app/api/p/mini/ai.moderate--moderateWhen to prefer
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.
Side effects
- 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
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object |
Output
Schema · Response
{
"type": "object",
"additionalProperties": true
}Tags
x402
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