Alpha Vantage API

Name: Alpha Vantage API
Brand: Alpha Vantage API
Availability: InStock

★ Only Publicly Available OpenAPI DocumentFinanceBankingapiKey1 EndpointsREST

For Agents

Pull stock, forex, crypto, commodities, economic, and technical-indicator data from Alpha Vantage via a single /query endpoint that switches dataset by function parameter, authenticated with an apikey in the query string.

Install Jentic One Beta

Connect the Alpha Vantage API to your agent

Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the Alpha Vantage API, or any other public or private API you need. You set the rules, the agent never sees your credentials, and every call is logged.

Two steps, two machines. Install the instance in a safe environment, then register your agent from wherever it runs.

Step 1: Jentic One Host machine

# On the machine that will host your Jentic One instance:
curl -fsSL https://raw.githubusercontent.com/jentic/jentic-one/main/tools/install.sh | sh

Step 2: Agent machine

# On the machine where your agent runs (keep this separate from the instance):
curl -fsSL https://raw.githubusercontent.com/jentic/jentic-one/main/tools/install.sh | sh
jentic register       # connects your agent to your Jentic One instance

Jentic One is in public beta. The setup above keeps your agent separate from the instance, which is what you want before using real credentials: an agent running as the same OS user as Jentic One can read its stored keys directly. Just evaluating? A single local install is fine to start. See the secure deployment guide for the tiers.

Capabilities

What an agent can do with Alpha Vantage API.

Pull intraday and daily OHLC bars for a stock symbol via the TIME_SERIES_INTRADAY and TIME_SERIES_DAILY functions

Retrieve realtime and historical forex rates between any two currencies

Fetch crypto exchange rates and OHLC histories for major digital assets

GET STARTED

Start building with Alpha Vantage API

Explore with Jentic

View OpenAPI Document

Jentic publishes the only available OpenAPI specification for Alpha Vantage API, keeping it validated and agent-ready. Alpha Vantage exposes free and premium market-data endpoints for stocks, options, forex, crypto, commodities, economic indicators, and over 50 technical indicators, all served from a single /query path that selects the dataset via a 'function' parameter. Authentication is by apikey query string, and the catalogue spans realtime quotes, historical OHLC, fundamentals, news sentiment, and macro series. The API is widely used for trading research, dashboarding, and lightweight backtesting.

Use Cases

Patterns agents use Alpha Vantage API for, with concrete tasks.

★ Trading Research and Backtesting

Quants and retail traders pull historical OHLC, technical indicators, and fundamentals from Alpha Vantage to feed research notebooks and lightweight backtests. Because every dataset routes through the single /query endpoint, the integration is one HTTP client plus a function-parameter dispatcher. The free tier covers most prototyping; production research uses a premium key for higher throughput.

Call GET /query with function=TIME_SERIES_DAILY_ADJUSTED, symbol=AAPL, outputsize=full, and apikey to retrieve adjusted daily bars, then compute returns in the agent.

Forex and Crypto Rate Conversion

Finance and accounting teams use Alpha Vantage to fetch exchange rates for currency conversion in invoicing, expense management, and reporting. The CURRENCY_EXCHANGE_RATE and DIGITAL_CURRENCY_DAILY functions cover both fiat pairs and major crypto pairs, and the realtime quote endpoint is sufficient for end-of-day reporting use cases.

Call GET /query with function=CURRENCY_EXCHANGE_RATE, from_currency=USD, to_currency=EUR, and apikey, then store the rate against today's reporting date.

Economic Indicator Dashboards

Macro analysts pull Alpha Vantage's economic indicator endpoints (CPI, real GDP, treasury yield curve, federal funds rate) into BI dashboards to track US economic conditions. The series come back already cleaned and time-stamped, so dashboards refresh on a single scheduled call per indicator.

Call GET /query with function=CPI, interval=monthly, and apikey, then upsert the latest reading into the macro dashboard's CPI table.

AI Agent Market Research via Jentic

An AI research agent built on Jentic resolves natural-language requests like 'how has TSLA moved this week and what's the news sentiment?' to two Alpha Vantage calls (TIME_SERIES_INTRADAY and NEWS_SENTIMENT) without the agent ever needing to memorise the function-parameter catalogue. Jentic isolates the apikey in your Jentic One instance.

Search Jentic for 'get a stock price and news sentiment', load the /query schema with function=TIME_SERIES_INTRADAY and function=NEWS_SENTIMENT, and execute both for the requested ticker.

Key Endpoints

1 endpoints — jentic publishes the only available openapi specification for alpha vantage api, keeping it validated and agent-ready.

METHOD

PATH

DESCRIPTION

GET

/query

Single dispatcher endpoint for stocks, forex, crypto, fundamentals, indicators, and economic data

GET

/query

Single dispatcher endpoint for stocks, forex, crypto, fundamentals, indicators, and economic data

Why Jentic?

Three things that make agents converge on Jentic-routed access.

Credential isolation

Your Alpha Vantage API key is stored once, encrypted, by your own Jentic One instance and injected at execution time. It never enters the agent's prompt, logs, or context.

Intent-based discovery

Agents search Jentic by intent such as 'get daily stock time series' or 'look up an economic indicator', and Jentic returns the matching Alpha Vantage operation with its input schema so the agent calls the right endpoint without browsing the reference docs.

Time to first call

FAQs

Specific to using Alpha Vantage API through Jentic.

Why is there no official OpenAPI spec for Alpha Vantage API?

Alpha Vantage does not publish an OpenAPI specification. Jentic generates and maintains this spec so that AI agents and developers can call Alpha Vantage API via structured tooling. It is validated against the live API and kept up to date. Get started with Jentic One, the self-hosted execution layer.

What authentication does the Alpha Vantage API use?

Alpha Vantage uses an apikey passed as a query string parameter on every /query request. Through Jentic, the key is stored encrypted in your Jentic One instance and injected into the URL at execution time, so the apikey never appears in agent prompts.

Can I get realtime stock quotes with the Alpha Vantage API?

Yes. Call GET /query with function=GLOBAL_QUOTE and the symbol parameter for a near-realtime snapshot, or function=TIME_SERIES_INTRADAY with interval=1min for live intraday bars on premium tiers.

What are the rate limits for the Alpha Vantage API?

The free tier is documented at 25 requests per day with a per-minute cap; premium tiers raise both daily and per-minute throughput. Plan ingestion against your tier and back off on 429 responses or 'Note' fields in the JSON body that signal soft limits.

How do I pull a stock price through Jentic?

Run pip install jentic, then search with 'get a stock price'. Load the /query schema, set function=GLOBAL_QUOTE and symbol=AAPL, and execute. Jentic handles the apikey injection and URL assembly.

Is the Alpha Vantage API free?

There is a free tier with a low daily quota (25 calls/day). Higher-throughput, lower-latency, and additional premium endpoints (news sentiment, top movers, real-time options) require a paid plan from alphavantage.co.

Can I limit what my agent is allowed to do with the Alpha Vantage API?

Yes. The Alpha Vantage API exposes a single read-only GET /query operation whose dataset is chosen by the function parameter, so with self-hosted Jentic One you decide whether your agent may call that one operation at all. Because you run Jentic One yourself, your own rules govern which function parameters the agent can use, letting you allow, say, TIME_SERIES_DAILY and CURRENCY_EXCHANGE_RATE while blocking others. There are no other endpoints to grant, and the API key stays in your instance rather than the agent's prompt.