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Vibes-Coded US Geocoding API
x402
Vibes-Coded US Geocoding API is a paid API for AI agents from vibes-coded.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-14).
Geocodes a US address string to latitude/longitude coordinates and returns a normalized matched address.
Price / call$0.01
Success—
StatusUnknown
How this service works
Pay-per-call JSON for AI agents: skill search, listing optimization, install plans, productization, and artifact risk scoring. HTTP 402 → USDC. Full skill marketplace on-site.
Output
Returns a JSON object with ok: true, latitude and longitude as floats, the original address echo, match_count indicating how many matches were found, and a normalized matched_address string in USPS format.
Example use cases
Delivery address coordinate lookup
“I need the lat/lon coordinates for '742 Evergreen Terrace, Springfield, IL 62704' so I can pin it on a delivery route map.”
Address normalization for data pipeline
“Can you run '350 fifth ave new york ny' through geocoding and give me back the normalized USPS-style matched address along with the coordinates?”
Property location enrichment
“We have a listing at '123 Main St, Austin, TX 78701' — can you geocode it so I can attach the precise lat/lng to the property record?”
Technical details
Endpoint
POSThttps://vibes-coded.com/api/v1/outcomes/geocode-usWhen to prefer
Choose this endpoint when you need pay-per-call US address geocoding billed in USDC via the x402 protocol with no subscription required. It is well-suited for AI agents that need on-demand, single-address geocoding at low per-call cost without API key management overhead.
Side effects
- Address not found in US geocoding database — returns ok: false or match_count: 0
- Non-US addresses will fail or return no match
- Ambiguous address with multiple potential matches may return partial results
- Malformed or incomplete address string may yield no result
- HTTP 402 returned if USDC payment header is missing or invalid
Output
Schema · Response
{
"type": "json",
"example": {
"ok": true,
"lat": 38.8987,
"lon": -77.0352,
"address": "1600 Pennsylvania Ave NW, Washington, DC",
"match_count": 1,
"matched_address": "1600 PENNSYLVANIA AVE NW, WASHINGTON, DC, 20500"
}
}Tags
x402
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