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Skincare Recommendation
API Playground

Send a customer's location and skin type — get back product recommendations tuned to their local tap water hardness and climate. Plug in your own SKUs to match results to your store.

1
Set parameters
Fill in the details
2
Send the request
Hit Send Request
3
Copy integration code
Use it in your app
>_ Interactive Live B2B API PlaygroundV1 LIVE EDGE ENGINE
Trial key: b2b_trial_key (60 req/min)
SESSION STATUS
Requests used1 / 9999
Monthly quota10,000
Avg latency72 ms
Trial key resets daily. Upgrade to a live key for higher rate limits and production SLAs.
RESPONSE BODY200 OK72 ms
{
"success": true,
"diagnostics": {
"location": "London, UK",
"resolvedVia": "fallback",
"waterHardnessPpm": 280,
"waterHardnessCategory": "Very Hard",
"temperatureC": 18,
"humidityPercent": 78,
"dewpointC": 14.4,
"environmentalStress": {
"tewlRiskLevel": "Low (Optimal Moisture Preservation)",
"mineralScumRiskLevel": "Critical Calcium Binding"
},
"coordinates": null,
"evaluatedCustomSkus": 0
},
"quota": {
"remaining": 9999,
"monthlyQuota": 10000
}
}
< / > Partner Integration Code Snippets
cURLFetchPythonReactShopify
⧉ Copy Snippet
curl -X POST "https://www.mirhaandco.com/api/v1/recommend" \
  -H "Content-Type: application/json" \
  -d '{
    "apiKey": "b2b_trial_key",
    "postalCode": "London",
    "skinType": "oily",
    "mainConcern": "acne",

    // Optional: pass your own product catalog for SKU-matched results.
    // Replace these with your real product IDs, names, ingredients & prices.
    // The API scores each item against local water hardness + climate and
    // returns the best-matched products for this shopper's location.
    "catalog": [
      { "id": "YOUR-SKU-001", "name": "Your Cleanser",    "ingredients": ["Salicylic Acid", "Niacinamide"], "price": 18.00 },
      { "id": "YOUR-SKU-002", "name": "Your Moisturiser", "ingredients": ["Ceramide", "Hyaluronic Acid"],   "price": 24.00 },
      { "id": "YOUR-SKU-003", "name": "Your Serum",       "ingredients": ["Vitamin C", "Ferulic Acid"],     "price": 32.00 }
    ]
  }'