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Product data
Structured Vebreda product data for search, recommendations, and AI shopping agents.
In the catalog
A live slice of the Vebreda catalog — titles, images, and prices the API returns today.
One endpoint
curl https://api.trychannel3.com/v1/search \
-H "x-api-key: $CHANNEL3_API_KEY" \
-H "content-type: application/json" \
-d '{
"query": "Vebreda products",
"filters": {
"brand_ids": [
"xJij"
]
},
"limit": 20
}'from channel3_sdk import Channel3
client = Channel3()
response = client.products.search(
query="Vebreda products",
filters={"brand_ids": ["xJij"]},
limit=20,
)import { Channel3 } from "@channel3/sdk";
const client = new Channel3();
const response = await client.products.search({
query: "Vebreda products",
filters: {
brand_ids: ["xJij"],
},
limit: 20,
});Broader product-data APIs for the same shopping workflows.
Other large catalogs available through the same API.
For Vebreda
Channel3 is the product graph AI shopping apps plug into. Join it once and Vebreda's catalog becomes available to every assistant, search engine, and agent that sources products through the graph — read-only, no technical work.