Global Stock Market Data. More than 150 pricing sources, including biggest world stock exchanges. Pay only for the stock exchanges, parameters or regions you need. Flexible in customizing our product to the customer's needs. Free test access as long as you need for integration. Reliable sources: stock exchanges and market participants. The cost depends on the amount of required parameters and re-distribution right.

We offer three easy-to-understand equity data packages to fit your business needs. Visit intrinio.com/pricing to compare packages.

Bronze

The Bronze package is ideal for developing your idea and prototyping your platform with high-quality EOD equity pricing data, standardized financial statement data, and supplementary fundamental datasets.

When you’re ready for launch, it’s a seamless transition to our Silver package for additional data sets, 15-minute delayed equity pricing data, expanded history, and more.

• Historical EOD equity prices & technicals (10 years history)
• Security reference data
• Standardized & as-reported financial statements (5 years history)
• 7 supplementary fundamental data sets

Bronze Benefits:

• Web API access
• 300 API calls/minute limit
• Unlimited internal users
• Unlimited internal & external display
• Built-in ticketing system
• Live chat & email support

Silver

The Silver package is ideal for startups that are in development, testing, or in the beta launch phase. Hit the ground running with 15-minute delayed and historical intraday and EOD equity prices, plus our standardized and as-reported financial statement data with nine supplementary data sets, including insider transactions and institutional ownership.

When you’re ready to scale, easily move up to the Gold package for our full range of data sets and full history, real-time equity pricing data, premium support options, and much more.

• 15-minute delayed & historical intraday equity prices
• Historical EOD equity prices & technicals (full history)
• Security reference data
• Standardized & as-reported financial statements (10 years history)
• 9 supplementary fundamental data sets

Silver Benefits:

• Web API access
• 2,000 API calls/minute limit
• Access to third-party datasets via Intrinio API (additional fees required)
• Unlimited internal users
• Unlimited internal & external display
• Built-in ticketing system
• Live chat & email support

Gold

The Gold package is ideal for funded companies that are in the growth or scaling stage, as well as institutions that are innovating within the fintech space. This full-service solution offers our complete collection of equity pricing data feeds, from real-time to historical EOD, plus standardized financial statement data and nine supplementary feeds.

You’ll also have access to our wide range of modern access methods, third-party data via Intrinio’s API with licensing assistance, support from our team of expert engineers, custom delivery architectures, and much more.

• Real-time equity prices
• Historical intraday equity prices
• Historical EOD equity prices & technicals (full history)
• Security reference data
• Standardized & as-reported financial statements (full history)
• 9 supplementary fundamental data sets

Gold Benefits:

• No exchange fees
• No user reporting or variable per-user exchange fees
• High liquidity (6%+)
• Web API & WebSocket access
• 2,000 API calls/minute limit
• Customizable access methods (Snowflake, FTP, etc.)
• Access to third-party datasets via Intrinio API (additional fees required)
• Unlimited internal users
• Unlimited internal & external display
• Built-in ticketing system
• Live chat & email support
• Access to engineering team
• Concierge customer success team
• Comarketing & promotional initiatives

Platinum

Don’t see a package that fits your needs? Our team can design premium custom packages for institutions.

This dataset provides comprehensive access to financial market data from Google Finance in real-time. Get detailed information on stocks, market quotes, trends, ETFs, international exchanges, forex, crypto, and related news. Perfect for financial applications, trading platforms, and market analysis tools. The dataset is delivered in a JSON format via REST API.

Eximpedia Export import trade data lets you search trade data and active Exporters, Importers, Buyers, Suppliers, manufacturers exporters from over 209 countries

When you need to analyze crypto market history, batch processing often beats streaming APIs. That's why we built the Flat Files S3 API - giving analysts and researchers direct access to structured historical cryptocurrency data without the integration complexity of traditional APIs.

Pull comprehensive historical data across 800+ cryptocurrencies and their trading pairs, delivered in clean, ready-to-use CSV formats that drop straight into your analysis tools. Whether you're building backtest environments, training machine learning models, or running complex market studies, our flat file approach gives you the flexibility to work with massive datasets efficiently.

Why work with us?

Market Coverage & Data Types: - Comprehensive historical data since 2010 (for chosen assets) - Comprehensive order book snapshots and updates - Trade-by-trade data

Technical Excellence: - 99,9% uptime guarantee - Standardized data format across exchanges - Flexible Integration - Detailed documentation - Scalable Architecture

CoinAPI serves hundreds of institutions worldwide, from trading firms and hedge funds to research organizations and technology providers. Our S3 delivery method easily integrates with your existing workflows, offering familiar access patterns, reliable downloads, and straightforward automation for your data team. Our commitment to data quality and technical excellence, combined with accessible delivery options, makes us the trusted choice for institutions that demand both comprehensive historical data and real-time market intelligence

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Eximpedia Export import trade data lets you search trade data and active Exporters, Importers, Buyers, Suppliers, manufacturers exporters from over 209 countries

The best choice for those looking for license-free US market data for commercial use is US Equities Basic, which includes data display, redistribution, professional trading, and more.

US Equities Basic is based upon a derived IEX feed. The volume coverage is 3-5% of the total trading volume in North America, which helps entities mitigate license expenses and start with real-time data.

US Equities Basic provides raw quotes, trades, aggregated time series (OHLCV), and snapshots. Both REST API and WebSocket API are available.

End-of-day price information disseminated after 12:00 AM EST does not require licensing in the United States by law. This applies to all exchanges, even those not included in the US Equities Basic. Finazon combines all price information after every trading day, meaning that while markets are open, real-time prices are available from a subset of exchanges, and when markets close, data is synced and contains 100% of US volume. All historical prices are adjusted for corporate actions and splits.

Tip: Individuals with non-professional usage are not required to get exchange licenses for real-time data and, hence, are better off with the US Equities Max dataset.

CoinAPI's Flat Files S3 API delivers historical crypto market data through downloadable CSV files. Access trades, quotes, and order book information in a user-friendly format. Our readable data files provide everything universities and analytics companies need.

Convert your PDF quotes into actionable Excel data. The only truly reliable OCR platform to extract the fields of your choice, with API and SDK available.

CoinAPI captures the full spectrum of crypto trading activity – from standard spot markets where assets change hands directly to complex derivatives instruments including futures, perpetuals, and options contracts that drive price discovery.

Our spot market coverage delivers exactly what professional traders expect: real-time trade feeds that capture every transaction, OHLCV candles for pattern recognition, up-to-the-moment quotes reflecting current market sentiment, and deep order book visibility showing true market liquidity. This complete picture helps institutions execute with confidence in fast-moving markets.

Why work with us?

Market Coverage & Data Types: - Real-time and historical data since 2010 (for chosen assets) - Full order book depth (L2/L3) - Tick-by-tick data - OHLCV across multiple timeframes - Market indexes (VWAP, PRIMKT) - Exchange rates with fiat pairs - Spot, futures, options, and perpetual contracts - Coverage of 90%+ global trading volume

Technical Excellence: - 99,9% uptime guarantee - Multiple delivery methods: REST, WebSocket, FIX, S3 - Standardized data format across exchanges - Ultra-low latency data streaming - Detailed documentation - Custom integration assistance

CoinAPI serves hundreds of institutions worldwide, from trading firms and hedge funds to research organizations and technology providers. We deliver reliable, accurate data that helps our clients make informed decisions in the fast-moving cryptocurrency markets. Our team of experts works tirelessly to ensure you have the market intelligence you need, when you need it – because in this industry, timing is everything.

The IvyDB Signed Volume dataset, available as an add-on product for IvyDB US, contains daily data on detailed option trading volume. Trades in the IvyDB US dataset are assigned as either buyer-initiated or seller-initiated based on the trade price and the bid-ask quote at the time of the trade. The total assigned daily volume is aggregated and updated nightly.

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Check out Market Research Intellect's Financial Data Apis Market Report, valued at USD 3.5 billion in 2024, with a projected growth to USD 10.2 billion by 2033 at a CAGR of 15.9% (2026-2033).

Eximpedia Export import trade data lets you search trade data and active Exporters, Importers, Buyers, Suppliers, manufacturers exporters from over 209 countries

Domestic One-Way Flight Prices Dataset (SQLite)

This project collects domestic one-way flight pricing data over a defined date range and duration from Atlanta (ATL) to 10 US cities. It saves this structured flight information to a SQLite database and enables flexible downstream querying and visualization. Each entry represents a real flight quote retrieved from a travel search API under fixed conditions. The data is structured, time-stamped, and ready for time-series, pricing trend… See the full description on the dataset page: https://huggingface.co/datasets/egupta/atl-dom-flight-data-sql-db.

Current and historical exchanges rates for 120+ currencies relative to USD provided in bulk and via API. Earliest historical data is 2011-09-31.

Data

Every hour, Currency Bot queries a currency conversion provider (currency.me.uk, formerly the Google Calculator API, and potentially a few others in the near future) collecting all the conversion rates for all currencies one-by-one, then saving them into a formatted API JSON file and pushing it to GitHub for everyone to use as an open-source API.

You can use this data to perform JavaScript currency conversion on the client-side (eg. for a web-app or online store - try money.js) or for back-end processing (eg. databases, analytics, whatever).

It's mirrored on http://openexchangerates.org with friendly Access-Control HTTP headers, so that you can load it in via AJAX with a cross-domain request without worrying about browser security restrictions.

As with all exchange rate data, accuracy can never be guaranteed when you're not paying through the teeth for the service - and when money changes currencies, everyone takes a cut (not to be trusted!) - so it's a good idea to inform people that these are for informational purposes only, something like "Converted prices/exchange rates are for informational purposes only." Feel free to say that rates come form the Open Source Exchange Rates API.

Openness: Not Open

Update: 2012-07-16. Data is not open (non-commercial restrictions). To quote from the the license page:

The Data available through the Service and the Project is released under a non-commercial license. This means that you may not resell or directly profit from, or cause any entity to profit from, direct sale or provision of the Data.

You may use the Data to build services that are informed by it inside commercial applications (for example, a currency conversion widget for shopping cart software, or to provide points of reference for statistical diagrams and graphs).

In a nutshell: You are not permitted to sell or profit directly from the Data, or by providing access to the Data; but you are permitted to use it inside commercial applications, provided that the Data itself is not the product being sold or direct cause of any profit.

Note also that the data does not originate from this project but is sourced from elsewhere. As such it's not clear what exactly its openness is. Again to quote from the license page:

Exchange rates (the "Data") are collected regularly from various free providers and sources (see list, below) in accordance with their respective robots.txt directives (if any) and Terms and Conditions. No laws or legal policies are broken in order to collect the Data. Having obeyed Terms and Conditions and related directives, the Project can and will not be held liable for legal claim or damages caused by collection, or usage by any party, of this Data.

International Round-Trip Flight Prices Dataset (SQLite)

This project collects international round-trip flight pricing data over a defined date range and duration from Atlanta (ATL) to 9 international destinations. It saves this structured flight information to a SQLite database and enables flexible downstream querying and visualization. Each entry represents a real flight quote retrieved from a travel search API under fixed conditions. The data is structured, time-stamped, and ready… See the full description on the dataset page: https://huggingface.co/datasets/egupta/atl-intl-flight-data-sql-db.

This repository contains tweet IDs and their 5 types of contextual information including 1) hashtags, 2) their categories, 3) entities obtained by NERD, 4) time-references normalized by Heideltime, and 5) Web categories for URLs attached with history-related hashtag that are related to history and that were collected for the purpose of analyzing how history-related content is disseminated in online social networks. Our IJDL paper shows the analysis results. The preliminary version of the analysis report is available here.

We used the Twitter official search API provided by Twitter to collect tweets. Note that three kinds of tweets are typically found in Twitter: tweets, retweets and quote tweets. Tweet is an original text issued as a post by a Twitter user. A retweet is a copy of an original tweet for the purpose of propagating the tweet content to more users (i.e., one's followers). Finally, a quote tweet copies the content of another tweet and allows also to add new content. A quote tweet is sometimes called a retweet with a comment. In this work, we simply treat all quote tweets as original tweets since they include additional information/text. There were however only 1,877 (0.2%) tweets recognized as quote tweets in our dataset.

To collect tweets that refer to the past or are related to collective memory of past events/entities, we performed hashtag based crawling together with bootstrapping procedure.
At the beginning, we gathered several historical hashtags selected by experts (e.g. #HistoryTeacher, #history, #WmnHist).
In addition, we prepared several hashtags that are commonly used when referring to the past: #onthisday, #thisdayinhistory, #throwbackthursday, #otd. We then collected tweets that contain these hashtags by using Twitter official search API.

The collected tweets were issued from 8 March 2016 to 2 July 2018.
Bootstrapping allowed us to search for other hashtags frequently used with the seed hashtags. The tweets tagged by such hashtags were then included into the seed set after the manual inspection of all the discovered hashtags as of their relation to the history, and filtering ones that are unrelated.
In total, we gathered 147 history-related hashtags which allowed us to collect 2,370,252 tweet IDs pointing to 882,977 tweets and 1,487,275 re-tweets.

Related papers:

1. Yasunobu Sumikawa, Adam Jatowt, and Marten During, "Digital History meets Microblogging: Analyzing Collective Memories in Twitter", In Proceedings of the 18th ACM/IEEE-CS Joint Conference on Digital Libraries, JCDL'18, IEEE/ACM, pp. 213 -- 222, 2018. [paper]
2. Yasunobu Sumikawa and Adam Jatowt, "Analyzing History-related Posts in Twitter", International Journal on Digital Libraries, Springer, 2020. https://doi.org/10.1007/s00799-020-00296-2 [paper][dataset]
3. Yasunobu Sumikawa and Adam Jatowt, "Annotated Dataset of History-related Tweets", Data in Brief, Vol. 38, pp. 107344, Elsevier, 2021. [paper]

This is the Web Feature Server of DWD.:This data comes from the stations of the DWD (partner networks not included). Extensive station metadata (station shifts, instrument change, change of reference time, changes in algorithms) are included in the download via the CDC portal. By the cut-off date, & CUTOFF_DATE;are the data versioned, for younger data quality control is not yet complete. Quote with: DWD Climate Data Center (CDC): Annual mean of station measurements of air pressure at station height in hPa for Germany, version v21.3, retrieved on