Product teams
Fintech and broker apps
Most fintech roadmaps stall on the same line item: the second asset class. TickerLayer collapses a stack of vendors into one integration your team understands after the first endpoint.
Why TickerLayer
Built for this, not adapted to it
One integration, five vendors fewer
A Hong Kong stock and a stablecoin pair answer the same way.
Market status built in
Grey out an order ticket or explain a flat chart without a hand-kept calendar.
Self-serve commercial use
Business plans include commercial use, with card or crypto checkout and no sales call.
On one key
The calls behind it
- Discover
GET /stocks/symbols?market=HK- Session
GET /markets/status?market=HK- Price
GET /forex/snapshot/EURUSD- Profile
GET /fundamentals/stocks/US:AAPL
import requests
BASE = "https://api.tickerlayer.com"
HEADERS = {"x-api-key": "YOUR_API_KEY"}
def snapshot(asset, symbol):
return requests.get(f"{BASE}/{asset}/snapshot/{symbol}", headers=HEADERS).json()
for asset, symbol in [("stocks", "US:AAPL"), ("stocks", "HK:0700"),
("forex", "EURUSD"), ("crypto", "BTCUSD")]:
row = snapshot(asset, symbol)
print(symbol, row["last_price"], row["change_percent"])Frequently asked questions
Can I show prices to my users?
Yes, inside your product on a commercial plan. Redistributing the raw feed needs a separate agreement.
How do symbols work across markets?
Stocks carry a market prefix, US:AAPL or HK:0700, so the same ticker in two countries never collides. The coverage checker converts a list from any format.
What does the free tier cover?
A monthly REST allowance, the docs, the coverage checker and the dashboard playground: enough to build the integration before choosing a plan.
Start with 3,000 free requests
No card, no sales call. Build first, pick a plan when it ships.
Other use cases
- Trading dashboards and chartingEvery candle and every tick, one feed.
- AI agents and copilotsA live price, one tool call away.
- Oracle networks and on-chain dataReference prices you can defend on-chain.
- Signal providers and alertingFire on the tick, not the poll.
- Quant research and backtestingHistory that replays the same way twice.