Twelve Data is a technology-driven company that provides financial market data, financial tools, and dedicated solutions. Large audiences - from individuals to financial institutions - use our products to stay ahead of the competition and success.

At Twelve Data we feel responsible for where the markets are going and how people are able to explore them. Coming from different technological backgrounds, we see how the world is lacking the unique and simple place where financial data can be accessed by anyone, at any time. This is what distinguishes us from others, we do not only supply the financial data but instead, we want you to benefit from it, by using the convenient format, tools, and special solutions.

We believe that the human factor is still a very important aspect of our work and therefore our ethics guides us on how to treat people, with convenient and understandable resources. This includes world-class documentation, human support, and dedicated solutions.

What is the Seeking Alpha API? Seeking Alpha API from RapidAPI is an API that queries stock news, market-moving, price quotes, charts, indices, analysis, and many more from investors and experts on seeking alpha stock research platform. In addition, it has a comprehensive list of endpoints for different categories of data.

Currently, the API has three pricing plans and a free subscription. It supports various programming languages, including Python, PHP, Ruby, and Javascript. This article will dig deeper into its details and see how to use this API with multiple programming languages.

How does the Seeking Alpha API work? Seeking Alpha API works using simple API logic in which It sends a request to a specific endpoint and obtains the necessary output as the response. When sending a request, it includes x-RapidAPI-key and host as authentication parameters so that the server can identify it as a valid request. In addition, the API requests body contains the optional parameters to process the request. Once the API server has received the request, it will process the request using the back-end application. Finally, the server will send back the information requested by the client in JSON format.

Target Audience for the Seeking Alpha API Financial Application Developers Financial application developers can integrate this API to attract Seeking Alphas’ audience to their financial applications. Its comprehensive list of APIs enables providing the complete Seeking Alpha experience. This API has affordable pricing plans, each endpoint requires only a few lines of code, and integration to an application is pretty straightforward. Since it supports multiple programming languages, it has widespread usability.

Stock Market Investors and learners Investors, especially those who research financial companies and the stock market, can use this to get information straight from this API. In addition, it has a free plan, and its Pro plan only costs $10. Therefore, anyone who learns about the stock market can make use of it for a low cost.

How to connect to the Seeking Alpha API Tutorial – Step by Step Step 1 – Sign up and Get a RapidAPI Account. RapidAPI is the world’s largest API marketplace which is used by more than a million developers worldwide. You can use RapidAPI to search and connect to thousands of APIs using a single SDK, API key, and Dashboard.

To create a RapidAPI account, go to rapidapi.com and click on the Sign Up icon. You can use your Google, Github, or Facebook account for Single Sign-on (SSO) or create an account manually.

Cryptocurrencies

Finage offers you more than 1700+ cryptocurrency data in real time.

With Finage, you can react to the cryptocurrency data in Real-Time via WebSocket or unlimited API calls. Also, we offer you a 7-year historical data API.

You can view the full Cryptocurrency market coverage with the link given below. https://finage.s3.eu-west-2.amazonaws.com/Finage_Crypto_Coverage.pdf

Forex Symbols

Finage offers you more than 1300+ forex data as real-time.

With Finage, you can react to the forex data in Real-Time via WebSocket or unlimited API calls. Also, we offer you a 15-year historical data API.

Commodities Bonds Metals Forex You can view the full FX market coverage with the link given below. https://finage.s3.eu-west-2.amazonaws.com/Finage_FX_Symbol_List.pdf

The "yahoo_finance_dataset(2018-2023)" dataset is a financial dataset containing daily stock market data for multiple assets such as equities, ETFs, and indexes. It spans from April 1, 2018 to March 31, 2023, and contains 1257 rows and 7 columns. The data was sourced from Yahoo Finance, and the purpose of the dataset is to provide researchers, analysts, and investors with a comprehensive dataset that they can use to analyze stock market trends, identify patterns, and develop investment strategies. The dataset can be used for various tasks, including stock price prediction, trend analysis, portfolio optimization, and risk management. The dataset is provided in XLSX format, which makes it easy to import into various data analysis tools, including Python, R, and Excel.

The dataset includes the following columns:

Date: The date on which the stock market data was recorded. Open: The opening price of the asset on the given date. High: The highest price of the asset on the given date. Low: The lowest price of the asset on the given date. Close*: The closing price of the asset on the given date. Note that this price does not take into account any after-hours trading that may have occurred after the market officially closed. Adj Close**: The adjusted closing price of the asset on the given date. This price takes into account any dividends, stock splits, or other corporate actions that may have occurred, which can affect the stock price. Volume: The total number of shares of the asset that were traded on the given date.

Context

We couldn’t find a data source for the historical prices of the Swiss Stock Exchange, also known as SIX. www.alphavantage.co is a free of charge API which we used to extract the data (daily figures) from finance.yahoo.com We set the start date as max (to go in the past as far as possible), some shares go back to the year 1990, and the youngest one is 2001. We got the data of the biggest 30 equities in the SIX, including the SMI. For more information: https://en.wikipedia.org/wiki/Swiss_Market_Index https://www.six-group.com/en/products-services/the-swiss-stock-exchange/market-data/shares/share-explorer.html

APISCRAPY specializes in Ecommerce data, offering a comprehensive solution for gathering Ecommerce market data, Ecommerce product data, and Ecommerce datasets. APISCRAPY is your go-to resource for making informed decisions in the Ecommerce landscape.

Global API Management Market size valued at US$ 5.82 Billion in 2023, set to reach US$ 65.00 Billion by 2032 at a CAGR of about 27.3% from 2024 to 2032.

View data of the S&P 500, an index of the stocks of 500 leading companies in the US economy, which provides a gauge of the U.S. equity market.

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There is only one base interest rate per currency, corresponding to the bank’s unsecured lending/borrowing rate (such as LIBOR). The interest rate used to discount cashflows may include a credit spread above or below the base rate.

The risk-free discount factor is exp (-rT) where r is the interest rate and T is the maturity.

The risky discount factor is exp[-(r+s)T] where s is the credit spread.

Credit spread can be derived by either structural model or reduced-form (intensity) model. The structural approach regards default as an endogenous event by focusing on the capital structure of the firm. Whereas the reduced-form approach does not explain the event of default endogenously, but characterizes it exogenously by a jump process.

Structural models are derived from theory and often contain some unobservable assumptions, while reduced-form models use only market observable information. Therefore, many practitioners in the credit trading arena have tended to gravitate toward the reduced-from models given their mathematical tractability and market compatibility.

Many researchers group similar credits. These groupings are loosely referred to as rating categories. Regardless of how the rating categories are constructed and of how many categories there are, it is necessary to specify the default likelihood for each category and provide a credit spread to correspond to each category.

FinPricing offer forward credit spread curves for various sectors and ratings. These curves are derived/bootstrapped through a compilation of market prices of credit-bearing instruments provided by major dealers. We review the contributed information on a daily basis to ensure accuracy and consistency.

➡️ You can choose from multiple data formats, delivery frequency options, and delivery methods;

➡️ You can select raw or clean and AI-enriched datasets;

➡️ Multiple APIs designed for effortless search and enrichment (accessible using a user-friendly self-service tool);

➡️ Fresh data: daily updates, easy change tracking with dedicated data fields, and a constant flow of new data;

➡️ You get all necessary resources for evaluating our data: a free consultation, a data sample, or free credits for testing our APIs.

Coresignal's employee and company data enables you to create and improve innovative data-driven solutions and extract actionable business insights. These datasets are popular among companies from different industries, including investment, sales, and HR technology.

✅ For investors

Gain strategic business insights, enhance decision-making, and maintain algorithms that signal investment opportunities with Coresignal's global Employee Data and Company Data.

Use cases

1. Screen startups and industries showing early signs of growth
2. Identify companies hungry for the next investment
3. Check if a startup is about to reach the next maturity phase

✅ For HR tech

Coresignal's global Employee Data and Company Data enable you to build and improve AI-based talent-sourcing and other HR technology solutions.

Use cases

1. Build AI-based tools
2. Find qualified candidates
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Companies use our large-scale datasets to improve their lead generation engines and power sales technology platforms.

Use cases

1. Extract targeted lead lists
2. Fill in the gaps in your lead data
3. Enable data-driven sales strategies

➡️ Why 400+ data-powered businesses choose Coresignal:

1. Experienced data provider (in the market since 2016);
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API Mocking Platform Market Outlook

As per our latest research, the global API Mocking Platform market size has reached USD 1.32 billion in 2024, driven by the increasing demand for rapid API development and testing across industries. The market is projected to expand at a robust CAGR of 14.7% from 2025 to 2033, reaching a forecasted value of USD 4.23 billion by 2033. This strong growth is attributed to the surge in adoption of microservices architectures, DevOps practices, and the need for faster software delivery cycles across diverse sectors.

A key growth factor for the API Mocking Platform market is the accelerating digital transformation initiatives across enterprises of all sizes. Organizations are increasingly leveraging APIs to integrate disparate systems, foster innovation, and enable seamless connectivity between applications. However, the complexity of modern software environments and the need for continuous integration and delivery have made traditional API development and testing approaches inefficient. API mocking platforms enable development teams to simulate API behaviors, test integrations, and identify issues early in the software development lifecycle, thereby reducing time-to-market and enhancing product quality. This capability is particularly crucial in industries such as BFSI, healthcare, and e-commerce, where agility, reliability, and security of APIs are paramount.

Another significant driver is the widespread adoption of cloud computing and microservices-based architectures. As enterprises move away from monolithic systems to more modular, scalable architectures, the number of APIs and their dependencies have grown exponentially. API mocking platforms provide the flexibility to create virtual APIs, allowing developers to work in parallel, decouple dependencies, and avoid bottlenecks caused by unavailable or incomplete backend services. This not only accelerates development and testing cycles but also improves collaboration among cross-functional teams. Additionally, the rise of DevOps and Agile methodologies has further fueled the demand for automated API testing and continuous integration, making API mocking solutions an integral part of modern software delivery pipelines.

The increasing focus on customer experience and quality assurance is also contributing to the growth of the API Mocking Platform market. Enterprises are under pressure to deliver seamless, bug-free digital experiences to retain customers and stay competitive. By enabling comprehensive testing of APIs under various scenarios, API mocking platforms help organizations detect and resolve issues before they impact end-users. This proactive approach to quality assurance is gaining traction across sectors such as IT and telecommunications, manufacturing, and retail, where even minor disruptions in API functionality can lead to significant business losses. Furthermore, the growing emphasis on compliance, security, and data privacy is prompting organizations to adopt sophisticated API mocking solutions that support robust testing and validation processes.

From a regional perspective, North America continues to lead the global API Mocking Platform market, accounting for the largest revenue share in 2024. The region’s dominance is attributed to the presence of major technology companies, early adoption of advanced software development practices, and a strong focus on innovation. Europe follows closely, driven by stringent regulatory requirements and the growing need for secure and reliable API integrations. Meanwhile, the Asia Pacific region is witnessing the fastest growth, fueled by rapid digitalization, expanding IT infrastructure, and the increasing adoption of cloud-based solutions among SMEs and large enterprises alike. Latin America and the Middle East & Africa are also emerging as promising markets, supported by the proliferation of digital services and government-led digital transformation initiatives.

Component Analysis

The API Mocking Platform market is segmented by component into

Antibiotics Active Pharmaceutical Ingredient (API) Market valued at $8.76 Bn in 2023, & projected to $10.75 Bn by 2032, at a CAGR of 2.3% from 2023-2032.

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Financial Data Exchange API Integration Market Outlook

According to our latest research, the global Financial Data Exchange API Integration market size reached USD 3.84 billion in 2024, underscoring the sector’s robust expansion. The market is projected to grow at a CAGR of 17.2% from 2025 to 2033, with the market size expected to reach USD 15.36 billion by 2033. This surge is attributed to the rapid digital transformation in the financial sector, increasing adoption of open banking, and the growing need for seamless, secure, and real-time data sharing among financial institutions and third-party providers.

One of the key drivers fueling the growth of the Financial Data Exchange API Integration market is the widespread adoption of open banking initiatives worldwide. Regulatory frameworks such as PSD2 in Europe and similar mandates in other regions are compelling banks and financial institutions to open their data via secure APIs, fostering innovation and competition. This regulatory push has accelerated the need for robust API integration platforms that can securely manage complex data exchanges between banks, fintechs, and other financial entities. Furthermore, consumer demand for personalized, real-time financial services is pushing organizations to integrate APIs that enable instant access to account information, payment initiation, and financial analytics, thus driving market expansion.

Another significant growth factor is the proliferation of fintech startups and digital-first financial service providers. These companies rely heavily on API integrations to connect with traditional financial institutions, aggregate customer data, and deliver innovative solutions such as mobile banking, robo-advisory, and payment gateways. The competitive landscape is encouraging established banks and insurance providers to modernize their IT infrastructure and adopt API-centric architectures. As a result, the demand for scalable, secure, and compliant API integration solutions is rising, further propelling the market forward. Additionally, the COVID-19 pandemic has accelerated digital adoption, making seamless data exchange a necessity for remote operations and digital customer engagement.

The increasing focus on customer experience and operational efficiency is also acting as a catalyst for market growth. Financial institutions are leveraging API integrations to automate workflows, reduce manual processing, and provide customers with unified, omnichannel experiences. The integration of APIs with advanced technologies like artificial intelligence, blockchain, and machine learning is enabling real-time fraud detection, credit scoring, and personalized financial recommendations. These technological advancements are not only enhancing service delivery but also creating new revenue streams for market participants, thereby contributing to the overall growth of the Financial Data Exchange API Integration market.

From a regional perspective, North America continues to dominate the market, accounting for the largest share in 2024 due to the early adoption of digital banking, a mature fintech ecosystem, and favorable regulatory environments. Europe follows closely, driven by strong regulatory mandates and a collaborative approach between traditional banks and fintechs. The Asia Pacific region is witnessing the fastest growth, fueled by a rapidly expanding digital economy, increasing smartphone penetration, and supportive government policies promoting financial inclusion. Latin America and the Middle East & Africa are also experiencing steady growth, albeit at a slower pace, as financial institutions in these regions accelerate their digital transformation journeys.

Component Analysis

The Component segment of the Financial Data Exchange API Integration market is primarily divided into Software and Services. The Software component encompasses API management platforms, integration middleware, and security solutions that

Snapshot img

API Management Market Size 2025-2029

The API management market size is forecast to increase by USD 3.75 billion at a CAGR of 12.3% between 2024 and 2029.

The market is experiencing significant growth, driven by the increasing adoption of digital payment solutions and the proliferation of digital wallets. However, challenges persist, including poor internet connectivity in developing countries, which can hinder the adoption and effective implementation of Api Management solutions. Companies must navigate these challenges to capitalize on the market's potential. Strategies such as investing in offline solutions and partnering with local providers can help overcome connectivity issues and expand market reach.
Additionally, focusing on security and scalability will be crucial, as businesses demand reliable and secure Api Management solutions to support their digital initiatives. These trends reflect the digital transformation underway in various industries, as businesses seek to enhance customer experience and streamline operations. Overall, the market presents opportunities for innovation and growth, with companies that address the unique challenges of this dynamic landscape poised to succeed.

What will be the Size of the API Management Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
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The market is experiencing significant innovation, with a focus on enhancing API Return on Investment (ROI) through multi-cloud API adoption and API-driven development. API maturity is on the rise, driving the need for advanced API logging, performance benchmarking, and usage analytics. API interoperability and standardization are crucial to addressing integration challenges in complex API ecosystems. API observability and developer experience are becoming key differentiators, with the emergence of API documentation generators and debugging tools. API adoption rates continue to grow, fueled by the increasing use of composite and hybrid cloud APIs, serverless functions, and microservices orchestration.

The market is experiencing significant growth, driven by the increasing adoption of digital payment solutions and the proliferation of digital wallets. API platform comparisons and compliance are essential for businesses navigating the diverse landscape of API offerings. API monetization strategies, such as API-led connectivity and edge computing APIs, are gaining traction. API evolution is ongoing, with a shift towards API-first design and headless CMS integration. API usage patterns are evolving, requiring new testing frameworks and security measures to address API performance optimization and vulnerabilities. Ultimately, API governance policies and discovery tools are essential for managing the complexities of API consumption and ensuring compliance in the dynamic API market.

How is this API Management Industry segmented?

The api management industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Deployment

  Cloud
  On-premises


Solution

  API gateways
  API lifecycle management
  API security
  API analytics and monitoring
  API developer portals


End-user

  Large enterprises
  SMEs


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    UK


  Middle East and Africa

    UAE


  APAC

    China
    India
    Japan


  South America

    Brazil


  Rest of World (ROW)

By Deployment Insights

The cloud segment is estimated to witness significant growth during the forecast period. The market is experiencing significant growth, driven by the digital transformation sweeping across industries. Cloud-based API solutions dominate the market, enabling seamless communication and data transfer between applications and the cloud. This segment's dominance is attributed to the proliferation of IoT and Big Data, which enhance application interfaces for superior customer experiences. Additionally, the increasing awareness of security vulnerabilities and the demand for automation have fueled the market's expansion in sectors like BFSI, e-commerce, healthcare and life sciences, education, and retail. Cloud APIs facilitate the integration of various cloud and on-premises applications, simplifying API provisioning, activation, setup, monitoring, and troubleshooting for developers and administrators.

Agile development methodologies, such as DevOps and CI/CD, have further accelerated the adoption of cloud APIs. APIs have become essential components of modern application architectures, including microservices, event-driven, and real-time systems. GraphQL APIs and service meshes have emerged as popu

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Data Monetization APIs Market Outlook

According to our latest research, the global Data Monetization APIs market size in 2024 stands at USD 3.9 billion, with a robust CAGR of 18.2% expected over the forecast period from 2025 to 2033. By 2033, the market is projected to reach approximately USD 17.7 billion. This impressive growth is primarily driven by the increasing adoption of digital transformation strategies across industries, the proliferation of big data, and the rising demand for API-driven business models that enable organizations to unlock new revenue streams from their data assets.

One of the core growth factors for the Data Monetization APIs market is the accelerating digitalization across various sectors, which has led to an exponential increase in data generation. Enterprises are increasingly recognizing the untapped potential of their data assets and are turning to Data Monetization APIs to convert raw data into actionable insights and revenue-generating products and services. This shift is further fueled by the evolution of advanced analytics, artificial intelligence, and machine learning technologies, which make it possible to extract valuable patterns and trends from large datasets. As organizations strive to enhance customer experiences, optimize operations, and create new business models, the demand for robust, scalable, and secure Data Monetization APIs is set to rise significantly.

Another key driver propelling the Data Monetization APIs market is the growing emphasis on interoperability and ecosystem development. APIs serve as the backbone of modern digital ecosystems, enabling seamless integration between disparate systems, platforms, and partners. Enterprises are leveraging APIs to extend their digital reach, collaborate with third parties, and create value-added services. This trend is particularly evident in industries such as BFSI, healthcare, and retail, where real-time data sharing and collaboration are critical for competitive differentiation. The adoption of open banking, healthcare interoperability standards, and retail personalization initiatives are all contributing to the increased deployment of Data Monetization APIs, further accelerating market growth.

Additionally, regulatory changes and evolving data privacy frameworks are shaping the Data Monetization APIs landscape. While regulations such as GDPR and CCPA impose stringent requirements on data usage and sharing, they also create opportunities for compliant data monetization strategies. Organizations are investing in secure and compliant API solutions that enable them to monetize data while ensuring privacy and regulatory adherence. The need for transparency, consent management, and data governance is driving innovation in API security and management, making Data Monetization APIs an essential tool for enterprises navigating the complex regulatory environment.

Regionally, North America remains the dominant market for Data Monetization APIs, accounting for the largest revenue share in 2024, followed by Europe and Asia Pacific. The high concentration of technology giants, early adoption of API-driven business models, and robust digital infrastructure in North America are key factors supporting its leadership position. Meanwhile, Asia Pacific is emerging as the fastest-growing region, driven by rapid digital transformation, expanding internet penetration, and the increasing adoption of cloud-based solutions. Europe is also witnessing significant growth, supported by strong regulatory frameworks and the rising focus on data-driven innovation across industries. Latin America and the Middle East & Africa are gradually catching up, with increasing investments in digital infrastructure and growing awareness of data monetization opportunities.

Component Analysis

The Data Monetization APIs market is segmented by component into platforms and services, each playing a pivotal role in enabling organizations to unlock the value of their data assets. Platforms fo