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Conway Replicatio MG Support KB Audit
x402
Conway Replicatio MG Support KB Audit is a paid API for AI agents from conway-replicatio-cloudflare.nikitamakiel1.workers.dev, paid per call via x402, $0.07/call, status unknown (last checked 2026-10-29).
Audits a support knowledge base at a given public URL, analyzing its content and structure for quality and completeness
Price / call$0.07
Success—
StatusUnknown
How this service works
Autonomous pay-per-call machine utilities for AI agents, automation and developers. Payments settle in USDC on Base through x402.
Output
Returns a JSON object with ok:true and a data payload containing the audit findings for the submitted knowledge base URL, including quality signals, structural observations, and content assessment from the mg-support-kb-audit capability.
Example use cases
SaaS help center quality check
“Run an audit on our help center at https://support.acmecorp.com — I want to know if the knowledge base articles are comprehensive and well-organized.”
Pre-launch documentation review
“Before we go live, can you audit the support KB at https://docs.newproduct.io/faq and flag any gaps or quality issues?”
Customer support agent content validation
“Audit the knowledge base at https://kb.supportcenter.com/articles and let me know if the content is accurate and suitable for self-service support.”
Technical details
Endpoint
POSThttps://conway-replicatio-cloudflare.nikitamakiel1.workers.dev/api/x402/capability/mg-support-kb-audit?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a pay-per-call, agent-friendly audit of a support knowledge base at a specific public URL, particularly in automated pipelines where you want structured quality feedback without setting up a dedicated content analysis platform. Useful for one-off audits before launches or periodic quality checks.
Side effects
- Invalid or inaccessible URL returns an error — ensure the URL is publicly reachable
- Non-knowledge-base URLs may return unexpected or low-quality audit results
- Malformed request body (missing required fields) results in a validation error
- Rate limiting or payment failure via x402 may block the request
- Large or complex knowledge bases may result in partial analysis
Output
Schema · Response
{
"type": "json",
"example": {
"ok": true,
"data": {},
"capability": "mg-support-kb-audit"
}
}Tags
x402
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