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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 content using AI to detect policy violations, harmful material, or inappropriate content submitted via a structured input object
Price / call$0.002
Success—
StatusUnknown
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.
Example use cases
UGC platform pre-publish screening
“Before I let this user review go live on my platform, run it through content moderation and tell me if it contains hate speech, harassment, or other policy violations: 'This product is garbage and so is everyone who made it.'”
Chat app message safety filter
“Screen this incoming chat message for harmful content before delivering it to the recipient — flag anything that's abusive, threatening, or sexually explicit.”
Automated comment queue triage
“I have a batch of forum comments queued up — can you check this one for community guideline violations so I know whether to approve or reject it before it goes public?”
Technical details
Endpoint
POSThttps://pennyrail.vercel.app/api/p/mini/ai.moderate--proven-moderateWhen to prefer
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.
Side effects
- 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
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object |
Output
Schema · Response
{
"type": "object",
"additionalProperties": true
}Tags
x402
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