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Pence 1979 logoPence 1979 product data API

Structured Pence 1979 product data for developers building search, recommendations, and AI shopping agents.

Agentic commerce demo

Try a Pence 1979-only AI shopping agent

This demo uses a constant Pence 1979 filter and tells the assistant it represents Pence 1979 only. Developers can use the same pattern to build brand-scoped shopping agents, product search, and recommendation flows.

Do you work at Pence 1979?

Looking to drive more AI sales? Channel3 can help Pence 1979 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
C3

Hello! I'm an AI shopping assistant powered by the Channel3 API, and I'm scoped to Pence 1979 products.

Find any Pence 1979 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": "Pence 1979 products",
  "filters": {
    "brand_ids": [
      "yo5u"
    ]
  },
  "limit": 20
}'
from channel3_sdk import Channel3

client = Channel3()

products = client.search.perform(
    query="Pence 1979 products",
    filters={"brand_ids": ["yo5u"]},
    limit=20,
)
import Channel3 from "@channel3/sdk";

const client = new Channel3();

const products = await client.search.perform({
  query: "Pence 1979 products",
  filters: {
    brand_ids: ["yo5u"],
  },
  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 Pence 1979 products

A preview of the products available through the Channel3 Pence 1979 product data API.

Blazer Nero - 42
Pence 1979
Blazer Nero - 42
€370
Bomber
Pence 1979
Bomber
€490
Giacca Dirty Garage - M
Pence 1979
Giacca Dirty Garage - M
€150
Pantalone A Zampa - 32
Pence 1979
Pantalone A Zampa - 32
€125
Men's Jacket Regular Fit In Lamb Leather Black
Pence 1979
Men's Jacket Regular Fit In Lamb Leather Black
€550
Pantalone Stampa Leo - 30
Pence 1979
Pantalone Stampa Leo - 30
€113
Pantalone 5 Tasche - 30
Pence 1979
Pantalone 5 Tasche - 30
€122
Maglione Girocollo - Xxl
Pence 1979
Maglione Girocollo - Xxl
€265
Giubbino In Pelle L
Pence 1979
Giubbino In Pelle L
€358
Denim Curvilineo - 24
Pence 1979
Denim Curvilineo - 24
€112
Smanicato - Xxs
Pence 1979
Smanicato - Xxs
€83
Regular Denim Black
Pence 1979
Regular Denim Black
€94
Chino Pant Light Pink
Pence 1979
Chino Pant Light Pink
€203
Abito Nero - S
Pence 1979
Abito Nero - S
€162
Midi Skirt Black
Pence 1979
Midi Skirt Black
€315
Pantalone Stampa Leo - 27
Pence 1979
Pantalone Stampa Leo - 27
€113
Chino Pant Black
Pence 1979
Chino Pant Black
€162
5 Pockets Blue Rinse
Pence 1979
5 Pockets Blue Rinse
€78
Pantalone Chino - 42
Pence 1979
Pantalone Chino - 42
€168
Pantalone Stampa Leo Grigio E Blu - Xl
Pence 1979
Pantalone Stampa Leo Grigio E Blu - Xl
€140
Giubbino Con Taschino - 44
Pence 1979
Giubbino Con Taschino - 44
€323
Washed Straight-leg Jeans
Pence 1979
Washed Straight-leg Jeans
$330
Pantalone Mom Fit - 24
Pence 1979
Pantalone Mom Fit - 24
€135
T-shirt Blu Navy - L
Pence 1979
T-shirt Blu Navy - L
€102

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": "Pence 1979 sample product",
      "brand": {
        "name": "Pence 1979"
      },
      "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 Pence 1979 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 Pence 1979 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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