Channel3

Product data

Mackenzie

Structured Mackenzie product data for search, recommendations, and AI shopping agents.

What Mackenzie can I help you find?

In the catalog

Sample Mackenzie products

A live slice of the Mackenzie catalog — titles, images, and prices the API returns today.

Mackenzie Disney Princess Castle Shimmer Lunch Box
Mackenzie

Mackenzie Disney Princess Castle Shimmer Lunch Box

$35

Mackenzie Rainbow Appliqué Lunch Boxes
Mackenzie

Mackenzie Rainbow Appliqué Lunch Boxes

$14

Mackenzie Navy Night Unicorn Glow Backpack | Pottery Barn Kids
Mackenzie

Mackenzie Navy Night Unicorn Glow Backpack | Pottery Barn Kids

$80

Mackenzie Celestial Pegasus Night Hot & Cold Container
Mackenzie

Mackenzie Celestial Pegasus Night Hot & Cold Container

$25

Open Box: Mackenzie Game Time Glow-in-the-dark Lunch Box, Cold Pack
Mackenzie

Open Box: Mackenzie Game Time Glow-in-the-dark Lunch Box, Cold Pack

$26

School Of Sharks Mackenzie Lunch Box
Mackenzie

School Of Sharks Mackenzie Lunch Box

$17

Mackenzie Rainbow Glitter Homework Folder
Mackenzie

Mackenzie Rainbow Glitter Homework Folder

$30

Mackenzie Navy Planet Lunch & Bento Set | Pottery Barn Kids
Mackenzie

Mackenzie Navy Planet Lunch & Bento Set | Pottery Barn Kids

$30

Students X Sugarloaf X Mackenzie Hybrid Headcover

Sugarloaf

Students X Sugarloaf X Mackenzie Hybrid Headcover

Open Box: Kitty Floral Mackenzie Classic Lunch Box
Mackenzie

Open Box: Kitty Floral Mackenzie Classic Lunch Box

$21

Mackenzie Puffer Metallic Silver Rainbows Lunch Box
Mackenzie

Mackenzie Puffer Metallic Silver Rainbows Lunch Box

$17

One endpoint

Find all Mackenzie products, in one API call

  • Normalized titles, images, and stable brand IDs
  • Live prices, availability, and merchant URLs
  • Commission-ready offers when a rate is available
curl https://api.trychannel3.com/v1/search \
  -H "x-api-key: $CHANNEL3_API_KEY" \
  -H "content-type: application/json" \
  -d '{
  "query": "Mackenzie products",
  "filters": {
    "brand_ids": [
      "mfSQ"
    ]
  },
  "limit": 20
}'
from channel3_sdk import Channel3

client = Channel3()

response = client.products.search(
    query="Mackenzie products",
    filters={"brand_ids": ["mfSQ"]},
    limit=20,
)
import { Channel3 } from "@channel3/sdk";

const client = new Channel3();

const response = await client.products.search({
  query: "Mackenzie products",
  filters: {
    brand_ids: ["mfSQ"],
  },
  limit: 20,
});

For Mackenzie

Do you work at Mackenzie?

Channel3 is the product graph AI shopping apps plug into. Join it once and Mackenzie's catalog becomes available to every assistant, search engine, and agent that sources products through the graph — read-only, no technical work.

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