Product data
HyperX
Structured HyperX product data for search, recommendations, and AI shopping agents.
What HyperX can I help you find?
In the catalog
Sample HyperX products
A live slice of the HyperX catalog — titles, images, and prices the API returns today.
HyperX
Hyperx Pulsefire Core Rgb Gaming Mouse - White/pink
HyperX
Hyperx Pc Gaming Bundle Cloud Iii S Wireless Headset Alloy Core Full Size Wired Membrane Keyboard Pulsefire Haste Wireles Black
$300
HP
Hyperx Hp Omen 16" Gaming Laptop, Wuxga 165hz Ips 400 Nits, Intel Core Ultra 7 356h (2026), Geforce Rtx 5060 8gb Gddr7, 16gb Ddr5 / 1tb Ssd, 4-zone Rgb Backlit Kb, Wi-fi 7, Bluetooth 6.0, Win11 Home
$1,720
HyperX
Hyperx Coiled Cable - Durable Coiled Cable, Stylish Design, 5-pin Aviator Connector, Usb-c To Usb-a - Red/black
$62
HyperX
Hyperx Alloy Origins 65 - Mechanical Gaming Keyboard + Pulsefire Saga Wired Gaming Mouse Bundle
$191
HP
Hyperx Omen Max Gaming Laptop 16t-ah100, 16", 16-inch, Windows 11 Home, Intel Core Ultra, 16gb Ram, 2tb Ssd, Shadow Black, Cn3g9av_2577085
$6,730
One endpoint
Find all HyperX products, in one API call
- 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": "HyperX products",
"filters": {
"brand_ids": [
"xQ4E"
]
},
"limit": 20
}'from channel3_sdk import Channel3
client = Channel3()
response = client.products.search(
query="HyperX products",
filters={"brand_ids": ["xQ4E"]},
limit=20,
)import { Channel3 } from "@channel3/sdk";
const client = new Channel3();
const response = await client.products.search({
query: "HyperX products",
filters: {
brand_ids: ["xQ4E"],
},
limit: 20,
});Categories
Broader product-data APIs for the same shopping workflows.
More brands
Other large catalogs available through the same API.
For HyperX
Do you work at HyperX?
Channel3 is the product graph AI shopping apps plug into. Join it once and HyperX's catalog becomes available to every assistant, search engine, and agent that sources products through the graph — read-only, no technical work.