SiteCheck Address Parse is a paid API for AI agents from api.sitecheck-api.workers.dev, paid per call via x402, $0.002/call, status unknown (last checked 2026-10-16).
Parses a free-text postal address into structured components (street, house number, postcode, city, country) with optional geocoding and postcode validation
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A JSON object containing parsed address parts (street, houseNumber, postcode, city, region, district, country), a normalized single-line address string, the AI model used, source description, optional geocode coordinates, a postcode rule check flag and note, and a checkedAt timestamp.
GEThttps://api.sitecheck-api.workers.dev/api/address/parse?utm_source=zero.xyzUse this endpoint when you need to decompose a free-text address string into structured postal components, especially for international addresses where per-country postcode rules matter. It is preferable to simple regex-based parsers because it uses an LLM for language-aware splitting and optionally validates postcodes against country rules. Choose it when you also want optional geocoding bundled in the same call.
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
{
"type": "json",
"example": {
"model": "@cf/meta/llama-3.3-70b-instruct-fp8-fast",
"parts": {
"city": "Berlin",
"unit": null,
"region": null,
"street": "Unter den Linden",
"country": "DE",
"district": null,
"postcode": "10117",
"houseNumber": "77"
},
"source": "Workers AI split (model output) with per-country postcode rules; geocode via OpenStreetMap Nominatim when asked",
"geocode": null,
"checkedAt": "2026-10-15T15:16:50.144Z",
"normalised": "Unter den Linden 77, 10117 Berlin, Germany",
"postcodeNote": null,
"postcodeRuleChecked": true
}
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