I'm building a product catalog pipeline and need a structured data API

Got it — if you're building a product catalog pipeline, a structured data API usually needs to handle:

• Product ingestion: create/update products in bulk
• Canonical schema: consistent fields for title, brand, SKU, category, attributes, pricing, inventory, media, variants
• Validation: enforce required fields and data types
• Versioning / deduplication: avoid duplicate SKUs and track changes
• Search / retrieval: query by SKU, category, brand, availability, etc.
• Export formats: JSON, CSV, XML, maybe GraphQL depending on consumers

I can help in a few ways:

1. Design the API schema
2. Draft OpenAPI spec
3. Define product data model
4. Build ingestion workflow
5. Create example endpoints and payloads

A solid starting point would be an API like:

• POST /products — create a product
• PUT /products/{sku} — replace/update a product
• PATCH /products/{sku} — partial update
• POST /products/bulk — bulk upsert
• GET /products/{sku} — fetch one product
• GET /products — query/filter products
• GET /schema/product — return the canonical schema

Example product structure:

{
  "sku": "ABC-123",
  "title": "Running Shoe",
  "brand": "Acme",
  "category": "Footwear",
  "description": "Lightweight running shoe",
  "price": {
    "amount": 79.99,
    "currency": "USD"
  },
  "inventory": {
    "available": true,
    "quantity": 120
  },
  "attributes": {
    "color": "Black",
    "size": "10",
    "material": "Mesh"
  },
  "images": [
    {
      "url": "https://cdn.example.com/products/abc-123/main.jpg",
      "alt": "Black running shoe"
    }
  ],
  "variants": [
    {
      "sku": "ABC-123-BLK-10",
      "attributes": {
        "color": "Black",
        "size": "10"
      }
    }
  ]
}

If you want, I can generate a complete OpenAPI 3.1 spec for a product catalog API next.