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Conway Replicatio MG Geo AI Audit
x402
Conway Replicatio MG Geo AI Audit is a paid API for AI agents from conway-replicatio-cloudflare.nikitamakiel1.workers.dev, paid per call via x402, $0.07/call, status down (last checked 2026-09-17).
Performs a geospatial AI audit on a given public URL, analyzing location-related data and metadata for compliance, accuracy, or quality signals.
Price / call$0.07
Success—
StatusDown
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, the capability name 'mg-geo-ai-audit', and a data object containing the audit findings for the submitted URL, such as geospatial quality signals, detected issues, or compliance indicators.
Example use cases
Location accuracy check for business listing
“Can you audit https://mybusiness.com/contact for geo AI quality — I want to know if the location and address data looks accurate and trustworthy?”
Geospatial compliance review for data pipeline
“We're ingesting location data from https://partner-api.com/geo-feed — run an AI geo audit on it so I can confirm it meets our data quality standards before we use it.”
Site audit for map-based app onboarding
“Before we onboard this new data source at https://datasupplier.io/locations, can you do a geo AI audit to flag any problems with the geographic metadata?”
Technical details
Endpoint
POSThttps://conway-replicatio-cloudflare.nikitamakiel1.workers.dev/api/x402/capability/mg-geo-ai-auditWhen to prefer
Choose this endpoint when you need automated, AI-powered auditing of geospatial or location-related content at a public URL, especially in agent pipelines that require per-call micropayment settlement in USDC on Base. It is particularly useful for validating geographic metadata, checking location data accuracy, or screening URLs before ingestion into geo-dependent workflows.
Side effects
- Invalid or non-public URL returns an error response
- Inaccessible or rate-limited target URL may result in failed fetch
- Malformed request body (missing required fields) returns validation error
- Non-JSON body type mismatch may cause parsing failure
- URL resolving to non-geographic content may yield empty or low-signal audit data
- Payment failure via x402 prevents call from completing
Output
Schema · Response
{
"type": "json",
"example": {
"ok": true,
"data": {},
"capability": "mg-geo-ai-audit"
}
}Tags
x402
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