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Bearpaw logoBearpaw product data API

Structured Bearpaw product data for developers building search, recommendations, and AI shopping agents.

Agentic commerce demo

Try a Bearpaw-only AI shopping agent

This demo uses a constant Bearpaw filter and tells the assistant it represents Bearpaw only. Developers can use the same pattern to build brand-scoped shopping agents, product search, and recommendation flows.

Do you work at Bearpaw?

Looking to drive more AI sales? Channel3 can help Bearpaw surface more accurately and frequently on AI shopping platforms. No technical work required on your end. Most teams get set up in less than 10 minutes and see results same week.

Drive more AI sales
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Hello! I'm an AI shopping assistant powered by the Channel3 API, and I'm scoped to Bearpaw products.

Find any Bearpaw product with one easy endpoint

Start with 1,000 free searches every month.

curl https://api.trychannel3.com/v1/search \
  -H "x-api-key: $CHANNEL3_API_KEY" \
  -H "content-type: application/json" \
  -d '{
  "query": "Bearpaw products",
  "filters": {
    "brand_ids": [
      "0enu"
    ]
  },
  "limit": 20
}'
from channel3_sdk import Channel3

client = Channel3()

products = client.search.perform(
    query="Bearpaw products",
    filters={"brand_ids": ["0enu"]},
    limit=20,
)
import Channel3 from "@channel3/sdk";

const client = new Channel3();

const products = await client.search.perform({
  query: "Bearpaw products",
  filters: {
    brand_ids: ["0enu"],
  },
  limit: 20,
});

What the product data includes

Normalized product titles

Clean, comparable titles across merchants and storefronts.

Brand and categories

Stable identifiers for filtering, deduplication, and analytics.

Images and product metadata

Hero images, product IDs, category signals, and merchant context.

Live prices and availability

Current offer data so agents do not recommend stale products.

Merchant URLs

Direct product links from retailers and marketplaces.

Affiliate-ready offers

Monetizable links and commission-aware offer selection where available.

Sample Bearpaw products

A preview of the products available through the Channel3 Bearpaw product data API.

Shorty Toddler Dusky Orchid - 12
Bearpaw
Shorty Toddler Dusky Orchid - 12
$60
Square Double Zip Waist Bag/sling White/black
Bearpaw
Square Double Zip Waist Bag/sling White/black
$17
Super Shorty Wide Mushroom - 6
Bearpaw
Super Shorty Wide Mushroom - 6
$70
Rhodes Black
Bearpaw
Rhodes Black
$29
Retro Shorty Youth Prism Pink
Bearpaw
Retro Shorty Youth Prism Pink
$52
Affagato Tan
Bearpaw
Affagato Tan
$30
Tabitha Black/red
Bearpaw
Tabitha Black/red
$56
Ladies Spacedye & Pom Bootie W/ Grippers 1ppk Lotus
Bearpaw
Ladies Spacedye & Pom Bootie W/ Grippers 1ppk Lotus
$20
Monroe Black/black
Bearpaw
Monroe Black/black
$100
Persephone Hickory
Bearpaw
Persephone Hickory
$90
Sporty Convertible Backpack/sling Ivory
Bearpaw
Sporty Convertible Backpack/sling Ivory
$25
Kaia Toffee - 13
Bearpaw
Kaia Toffee - 13
$80
Affagato Navy
Bearpaw
Affagato Navy
$30
Ascend Mushroom Platform Sandal With Buckle Strap
Bearpaw
Ascend Mushroom Platform Sandal With Buckle Strap
$45
Affogato Black Espadrille Sandal With Cushioned Footbed
Bearpaw
Affogato Black Espadrille Sandal With Cushioned Footbed
$30
Ruffle Support Anklet 5pk Simply Taupe
Bearpaw
Ruffle Support Anklet 5pk Simply Taupe
$23
Elle Tall Mushroom
Bearpaw
Elle Tall Mushroom
$100
Aurelia Mushroom
Bearpaw
Aurelia Mushroom
$100
Navigate Tourmaline Blue
Bearpaw
Navigate Tourmaline Blue
$45
Ridley Ii Wide Bone
Bearpaw
Ridley Ii Wide Bone
$34
Snuggle Daphne Deco Black - 13
Bearpaw
Snuggle Daphne Deco Black - 13
$49
Cassidy Black
Bearpaw
Cassidy Black
$65
Retro Shorty Youth Mushroom - 13
Bearpaw
Retro Shorty Youth Mushroom - 13
$52
Tabitha Red/white
Bearpaw
Tabitha Red/white
$56

A structured response for apps and agents

Results are ready for search interfaces, ranking pipelines, product cards, and AI agent tool calls.

{
  "products": [
    {
      "id": "prod_01H...",
      "title": "Bearpaw sample product",
      "brand": {
        "name": "Bearpaw"
      },
      "category_ids": [
        "xoN"
      ],
      "images": [
        {
          "url": "https://..."
        }
      ],
      "offers": [
        {
          "merchant_domain": "example.com",
          "price": 128,
          "currency": "USD",
          "availability": "InStock",
          "url": "https://..."
        }
      ]
    }
  ],
  "next_page_token": "eyJwYWdlIjoyfQ..."
}

Common use cases

AI shopping agents

Let users ask for products naturally, then return structured candidates your agent can rank and explain.

Affiliate search

Build product discovery experiences with merchant URLs and affiliate-aware offer data.

Marketplace search

Power fast, filterable product search without maintaining retailer-specific scraping pipelines.

Catalog enrichment

Map sparse product records to normalized brands, categories, images, and live merchant offers.

Frequently asked questions

How do I find Bearpaw product data?

Use the Channel3 search endpoint with a brand filter. The response includes normalized products, images, prices, availability, and merchant URLs.

Can I use this data in an AI shopping agent?

Yes. Channel3 is designed for product discovery workflows where an app or agent needs structured product results from many merchants.

Do results include price and stock?

Product offers include price, currency, availability, merchant domain, and product URLs when those fields are available.

Can I monetize product links?

Channel3 returns merchant URLs and can use affiliate-ready offer selection where commission data is available.

Explore product data categories

Browse broader product data APIs related to brand-scoped product search and AI shopping agent workflows.

More brand product data APIs

Compare this brand feed with other large brand catalogs available through Channel3.

Build with Bearpaw product data

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

Every product on the internet, in one API.

Get paid to build the future of shopping.

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In-store

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Online

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Agentic Commerce

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