Stock Quote API for Prices & Market Snapshots

QVeris connects your application or AI agent to stock quote tools through one discovery and execution workflow. Start with a ticker, inspect the available route, and retrieve a price snapshot for a watchlist, research note or market dashboard. Open the Finnhub stock quote tool on QVeris to view its tool details, symbol input and access conditions.

A useful result includes more than the price. Keep the requested symbol, returned instrument, currency, source time and provider together so a reader can tell what the number describes. A timestamp from yesterday may be a valid last available observation after a market closure; it should still be displayed as yesterday’s observation.

For a first test, use one familiar symbol such as AAPL. Confirm that the returned symbol and market match your request before adding more instruments. This small check prevents a convincing-looking quote from the wrong listing entering a production watchlist.

When a route returns daily open, high and low, these describe the trading session covered by that source. They are useful context for a quote card, but they do not reconstruct every trade during the day. Only show a bid–ask spread when the tool actually returns bid and ask fields.

Open the quote tool, review its schema, and use the following parameter object for the selected Finnhub route. This is a request example, not a captured market result. The Finnhub quote reference is the upstream reference for the quote operation.

{
  "symbol": "AAPL"
}

You can start with the AAPL quote task without writing an adapter, or connect your application through the QVeris API documentation. Use “Build the AAPL quote table” at the end of this page to prefill a request for a compact quote table with a freshness explanation.

A “real time stock API” query expresses a freshness need, but the phrase alone does not establish exchange coverage or entitlement. Inspect the specific route and account access before labeling a dashboard live. A snapshot endpoint also does not imply a streaming connection: polling and streaming are different delivery choices.

For a daily review, a clearly dated close may be sufficient. For an intraday display, define an acceptable age and show when it is exceeded. Keep a missing response distinct from a zero price. If a quote request fails, show an unavailable state rather than silently filling the current card with an old cached number.

Need a price chart as well? Connect the quote card to the historical stock data workflow and preserve a visible distinction between the latest snapshot and the chart’s historical bars.

Keep the tool ID and the input symbol with each stored response. When your watchlist grows, check whether the selected capability accepts multiple symbols or requires individual calls; do not assume a single-symbol request supports batching. Reuse cached data only within the freshness window you promised users.

Add company profile data when you need company names and exchange context, and use the Python stock API example when you are ready to automate the request. Review QVeris pricing before scheduling repeated calls: discovery and execution have different billing rules.

Use these external sources to check field definitions, delivery methods and market sessions. Each link opens the provider or exchange website in a new tab.

• Finnhub Quote API documentation — check the quote operation and its response fields before mapping a price card.
• Finnhub WebSocket Trades documentation — review the separate streaming trade interface when your app needs updates over a persistent connection. This is a reference, not a claim that the selected QVeris quote tool streams trades.
• Nasdaq trading hours and holiday schedule — check market sessions and closures when interpreting the date and time attached to an AAPL quote.

Open the prefilled AAPL quote task in QVeris. Keep AAPL or replace it with another US stock symbol, review the request, then run it to get the latest available price, source timestamp and provider; the result should also identify unavailable fields. Access and credit use depend on your account and the selected tool.