What problem does it solve?
Kmart product prices, SKU details, and store locations are hard for AI agents to use directly because they’re spread across public web surfaces and aren’t exposed as a simple API.
Core Features & Use Cases
- Product search and SKU lookup: Find products by keyword and resolve exact SKU details into stable, agent-friendly fields.
- Live promotional/clearance snapshots: Infer clearance/sale/promo items from public product metadata without claiming historical accuracy.
- Public store URL discovery: Discover store-detail URLs and lightweight store metadata (with NZ handled carefully due to sitemap quirks).
Example use case: A logistics or procurement workflow needs to compare current Kmart NZ pricing for a set of SKUs and generate a structured JSON report for downstream decisioning.
Quick Start
Ask your agent for a JSON product search for "lego" in Kmart NZ and limit the results to 5.