# SiteCheck Address Parse

> 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

## Facts

- Endpoint: GET https://api.sitecheck-api.workers.dev/api/address/parse?utm_source=zero.xyz
- Price: $0.002/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-16
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/sitecheck-address-parse-1caa04e7
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_XmsZd6GaSj8KIepZMM3Hm

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability sitecheck-address-parse-1caa04e7
```

Example prompt: Can you parse this address into its components — street, house number, postcode, and city — for me: 'Unter den Linden 77, 10117 Berlin'? Also add geocoordinates from OpenStreetMap.

## When to prefer this

Use 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.

## Known failure modes

- Ambiguous or incomplete address may result in missing fields (null values for unit, region, district)
- Incorrect postcode for the given city produces a postcodeNote warning
- Geocode coordinates are null when geocode parameter is not set to 1
- Address in unsupported or uncommon locale may degrade parsing accuracy
- Very short or garbled input may return partially structured output

## How this service works

Splits a free-text postal address into house number, street, unit, postcode, city, district, region and country, with a normalised one-line form. The postcode is checked against the rule of the country (for 18 countries); a mismatch is left out and says so. Workers AI does the split, so check the parts. geocode=1 adds coordinates from OpenStreetMap Nominatim. Not live-checked: the owner checks the model after the merge.

## Output

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.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "$schema": "https://json-schema.org/draft/2020-12/schema",
 "required": [
  "input"
 ],
 "properties": {
  "input": {
   "type": "object",
   "required": [
    "type",
    "method"
   ],
   "properties": {
    "type": {
     "type": "string",
     "const": "http"
    },
    "method": {
     "enum": [
      "GET"
     ],
     "type": "string"
    },
    "queryParams": {
     "type": "object",
     "required": [
      "address"
     ],
     "properties": {
      "address": {
       "type": "string",
       "description": "The address as free text, up to 500 characters"
      },
      "country": {
       "type": "string",
       "description": "ISO2 code of the country when you know it, e.g. DE (optional, improves the postcode check)"
      },
      "geocode": {
       "type": "string",
       "description": "1 to add coordinates from OpenStreetMap, default 0"
      }
     }
    }
   },
   "additionalProperties": false
  },
  "output": {
   "type": "object",
   "required": [
    "type"
   ],
   "properties": {
    "type": {
     "type": "string"
    },
    "example": {
     "type": "object"
    }
   }
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "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
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/sitecheck-address-parse-1caa04e7/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from api.sitecheck-api.workers.dev](https://www.zero.xyz/host/api.sitecheck-api.workers.dev/llms.txt)