Tag product data API
Structured Tag product data for developers building search, recommendations, and AI shopping agents.
No credit card required.
Agentic commerce demo
Try a Tag-only AI shopping agent
This demo uses a constant Tag filter and tells the assistant it represents Tag only. Developers can use the same pattern to build brand-scoped shopping agents, product search, and recommendation flows.
Do you work at Tag?
Looking to drive more AI sales? Channel3 can help Tag 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 salesHello! I'm an AI shopping assistant powered by the Channel3 API, and I'm scoped to Tag products.
Find any Tag 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": "Tag products",
"filters": {
"brand_ids": [
"Knlc"
]
},
"limit": 20
}'from channel3_sdk import Channel3
client = Channel3()
products = client.search.perform(
query="Tag products",
filters={"brand_ids": ["Knlc"]},
limit=20,
)import Channel3 from "@channel3/sdk";
const client = new Channel3();
const products = await client.search.perform({
query: "Tag products",
filters: {
brand_ids: ["Knlc"],
},
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 Tag products
A preview of the products available through the Channel3 Tag product data API.
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": "Tag sample product",
"brand": {
"name": "Tag"
},
"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 Tag 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 Tag 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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