Product data

Minnetonka

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

What Minnetonka can I help you find?

In the catalog

Sample Minnetonka products

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

Charley Bootie

Charley Bootie

$50

Fp X Minnetonka Ziigwan Waabigwan Moccasins

Fp X Minnetonka Ziigwan Waabigwan Moccasins

$50

Genuine Shearling Lined Driving Shoe

Genuine Shearling Lined Driving Shoe

$80

Front-lace Boots For Men

Front-lace Boots For Men

$138

5-layer Fringe Braid Ornamented Suede Boots

5-layer Fringe Braid Ornamented Suede Boots

$148

Minnetonka Women's Cally Plaid Faux Fur Lined Moccasin Slippers

Minnetonka Women's Cally Plaid Faux Fur Lined Moccasin Slippers

$63

Comfy Moc Sparkle Knit Slippers

Comfy Moc Sparkle Knit Slippers

$70

Sheepskin Hardsole Moccasin Slippers

Sheepskin Hardsole Moccasin Slippers

$100

Carefree Scuff Slippers

Carefree Scuff Slippers

$65

Minnetonka Chrissy Faux Shearling Bow Detail Suede Bootie Slippers

Minnetonka Chrissy Faux Shearling Bow Detail Suede Bootie Slippers

$73

Silverthorne 360 Thong Sandals

Silverthorne 360 Thong Sandals

$73

Minnetonka Thunderbird Animikii Suede Moccasin

Minnetonka Thunderbird Animikii Suede Moccasin

CA$109

One endpoint

Filter Minnetonka with a brand ID

The same search used in the demo above. Pass brand_ids to keep results inside this catalog. 1,000 free searches a month.

  • 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": "Minnetonka products",
  "filters": {
    "brand_ids": [
      "viMO"
    ]
  },
  "limit": 20
}'
from channel3_sdk import Channel3

client = Channel3()

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

const client = new Channel3();

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

FAQs

How developers pull Minnetonka into agents, search, and commission-earning flows.

For Minnetonka

Do you work at Minnetonka?

Channel3 is the product graph AI shopping apps plug into. Join it once and Minnetonka'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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Build with this catalog

1,000 free searches every month. No credit card required.