OpenWeb Ninja's Google Images Data (Google SERP Data) API provides real-time image search capabilities for images sourced from all public sources on the web.

The API enables you to search and access more than 100 billion images from across the web including advanced filtering capabilities as supported by Google Advanced Image Search. The API provides Google Images Data (Google SERP Data) including details such as image URL, title, size information, thumbnail, source information, and more data points. The API supports advanced filtering and options such as file type, image color, usage rights, creation time, and more. In addition, any Advanced Google Search operators can be used with the API.

OpenWeb Ninja's Google Images Data & Google SERP Data API common use cases:

• Creative Media Production: Enhance digital content with a vast array of real-time images, ensuring engaging and brand-aligned visuals for blogs, social media, and advertising.

• AI Model Enhancement: Train and refine AI models with diverse, annotated images, improving object recognition and image classification accuracy.

• Trend Analysis: Identify emerging market trends and consumer preferences through real-time visual data, enabling proactive business decisions.

• Innovative Product Design: Inspire product innovation by exploring current design trends and competitor products, ensuring market-relevant offerings.

• Advanced Search Optimization: Improve search engines and applications with enriched image datasets, providing users with accurate, relevant, and visually appealing search results.

OpenWeb Ninja's Annotated Imagery Data & Google SERP Data Stats & Capabilities:

• 100B+ Images: Access an extensive database of over 100 billion images.

• Images Data from all Public Sources (Google SERP Data): Benefit from a comprehensive aggregation of image data from various public websites, ensuring a wide range of sources and perspectives.

• Extensive Search and Filtering Capabilities: Utilize advanced search operators and filters to refine image searches by file type, color, usage rights, creation time, and more, making it easy to find exactly what you need.

• Rich Data Points: Each image comes with more than 10 data points, including URL, title (annotation), size information, thumbnail, and source information, providing a detailed context for each image.

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.

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

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

Real time traffic data from the Swedish Transport Administration, API

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.

Snapshot img

Streaming Analytics Market Size 2024-2028

The streaming analytics market size is forecast to increase by USD 39.7 at a CAGR of 34.63% between 2023 and 2028.

The market is experiencing significant growth due to the increasing need to improve business efficiency in various industries. The integration of Artificial Intelligence (AI) and Machine Learning (ML) technologies is a key trend driving market growth. These technologies enable real-time data processing and analysis, leading to faster decision-making and improved operational performance. However, the integration of streaming analytics solutions with legacy systems poses a challenge. IoT platforms play a crucial role In the market, as IoT-driven devices generate vast amounts of data that require real-time analysis. Predictive analytics is another area of focus, as it allows businesses to anticipate future trends and customer behavior, leading to proactive decision-making.Overall, the market is expected to continue growing, driven by the need for real-time data processing and analysis in various sectors.

What will be the Size of the Streaming Analytics Market During the Forecast Period?

Request Free Sample

The market is experiencing significant growth due to the increasing demand for real-time insights from big data generated by emerging technologies such as IoT and API-driven applications. This market is driven by the strategic shift towards digitization and cloud solutions among large enterprises and small to medium-sized businesses (SMEs) across various industries, including retail. Legacy systems are being replaced with modern streaming analytics platforms to enhance data connectivity and improve production and demand response. The financial impact of real-time analytics is substantial, with applications in fraud detection, predictive maintenance, and operational efficiency. The integration of artificial intelligence (AI) and machine learning algorithms further enhances the market's potential, enabling businesses to gain valuable insights from their data streams.Overall, the market is poised for continued expansion as more organizations recognize the value of real-time data processing and analysis.

How is this Streaming Analytics Industry segmented and which is the largest segment?

The streaming analytics industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments. DeploymentCloudOn premisesTypeSoftwareServicesGeographyNorth AmericaCanadaUSAPACChinaJapanEuropeUKMiddle East and AfricaSouth America

By Deployment Insights

The cloud segment is estimated to witness significant growth during the forecast period.

Cloud-deployed streaming analytics solutions enable businesses to analyze data in real time using remote computing resources, such as the cloud. This deployment model streamlines business intelligence processes by collecting, integrating, and presenting derived insights instantaneously, enhancing decision-making efficiency. The cloud segment's growth is driven by benefits like quick deployment, flexibility, scalability, and real-time data visibility. Service providers offer these capabilities with flexible payment structures, including pay-as-you-go. Advanced solutions integrate AI, API, and event-streaming analytics capabilities, ensuring compliance with regulations, optimizing business processes, and providing valuable data accessibility. Cloud adoption in various sectors, including finance, healthcare, retail, and telecom, is increasing due to the need for real-time predictive modeling and fraud detection.SMEs and startups also benefit from these solutions due to their ease of use and cost-effectiveness. In conclusion, cloud-based streaming analytics solutions offer significant advantages, making them an essential tool for organizations seeking to digitize and modernize their IT infrastructure.

Get a glance at the Streaming Analytics Industry report of share of various segments Request Free Sample

The Cloud segment was valued at USD 4.40 in 2018 and showed a gradual increase during the forecast period.

Regional Analysis

APAC is estimated to contribute 34% to the growth of the global market during the forecast period.

Technavio’s analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

For more insights on the market share of various regions, Request Free Sample

In North America, the region's early adoption of advanced technology and high data generation make it a significant market for streaming analytics. The vast amounts of data produced in this tech-mature region necessitate intelligent analysis to uncover valuable relationships and insights. Advanced software solutions, including AI, virtualiza

This dataset provides comprehensive real-time data from Amazon's global marketplaces. It includes detailed product information, reviews, seller profiles, best sellers, deals, influencers, and more across all Amazon domains worldwide. The data covers product attributes like pricing, availability, specifications, reviews and ratings, as well as seller information including profiles, contact details, and performance metrics. Users can leverage this dataset for price monitoring, competitive analysis, market research, and building e-commerce applications. The API enables real-time access to Amazon's vast product catalog and marketplace data, helping businesses make data-driven decisions about pricing, inventory, and market positioning. Whether you're conducting market analysis, tracking competitors, or building e-commerce tools, this dataset provides current and reliable Amazon marketplace data. The dataset is delivered in a JSON format via REST API.

This dataset provides comprehensive access to local and online events data through Google Events in real-time. It enables searching for various types of events including concerts, sports matches, workshops, festivals, movies, and more. Users can access detailed event information including locations, dates, ticket information, and venue details. Perfect for event discovery applications, ticket platforms, and local activity recommendations. The dataset is delivered in a JSON format via REST API.

Note:- Only publicly available data can be worked upon

APISCRAPY collects and organizes data from Zillow's massive database, whether it's property characteristics, market trends, pricing histories, or more. Because of APISCRAPY's first-rate data extraction services, tracking property values, examining neighborhood trends, and monitoring housing market variations become a straightforward and efficient process.

APISCRAPY's Zillow real estate data scraping service offers numerous advantages for individuals and businesses seeking valuable insights into the real estate market. Here are key benefits associated with their advanced data extraction technology:

1. Real-time Zillow Real Estate Data: Users can access real-time data from Zillow, providing timely updates on property listings, market dynamics, and other critical factors. This real-time information is invaluable for making informed decisions in a fast-paced real estate environment.

2. Data Customization: APISCRAPY allows users to customize the data extraction process, tailoring it to their specific needs. This flexibility ensures that the extracted Zillow real estate data aligns precisely with the user's requirements.

3. Precision and Accuracy: The advanced algorithms utilized by APISCRAPY enhance the precision and accuracy of the extracted Zillow real estate data. This reliability is crucial for making well-informed decisions related to property investments and market trends.

4. Efficient Data Extraction: APISCRAPY's technology streamlines the data extraction process, saving users time and effort. The efficiency of the extraction workflow ensures that users can access the desired Zillow real estate data without unnecessary delays.

5. User-friendly Interface: APISCRAPY provides a user-friendly interface, making it accessible for individuals and businesses to navigate and utilize the Zillow real estate data scraping service with ease.

APISCRAPY provides real-time real estate market data drawn from Zillow, ensuring that consumers have access to the most up-to-date and comprehensive real estate insights available. Our real-time real estate market data services aren't simply a game changer in today's dynamic real estate landscape; they're an absolute requirement.

Our dedication to offering high-quality real estate data extraction services is based on the utilization of Zillow Real Estate Data. APISCRAPY's integration of Zillow Real Estate Data sets it different from the competition, whether you're a seasoned real estate professional or a homeowner wanting to sell, buy, or invest.

APISCRAPY's data extraction is a key element, and it is an automated and smooth procedure that is at the heart of the platform's operation. Our platform gathers Zillow real estate data quickly and offers it in an easily consumable format with the click of a button.

[Tags;- Zillow real estate scraper, Zillow data, Zillow API, Zillow scraper, Zillow web scraping tool, Zillow data extraction, Zillow Real estate data, Zillow scraper, Zillow scraping API, Zillow real estate da extraction, Extract Real estate Data, Property Listing Data, Real estate Data, Real estate Data sets, Real estate market data, Real estate data extraction, real estate web scraping, real estate api, real estate data api, real estate web scraping, web scraping real estate data, scraping real estate data, real estate scraper, best real, estate api, web scraping real estate, api real estate, Zillow scraping software ]

Free-Cash-Flow-To-Equity Time Series for Api Group Corp. APi Group Corporation provides safety and specialty services worldwide. The company offers end-to-end integrated occupancy systems, such as fire protection services; heating, ventilation, and air conditioning solutions; and entry systems, elevators, and escalators, including design, installation, inspection, and service of these integrated systems. It also provides various infrastructure and specialized industrial plant services comprising maintenance and repair of underground electric, gas, water, sewer, and telecommunications infrastructure; engineering and design, fabrication, installation, maintenance service and repair, retrofitting and upgrading, pipeline infrastructure, access and road construction, supporting facilities, and integrity management and maintenance. The company serves commercial, education, healthcare, high tech, industrial, and special-hazard settings, as well as private and public utilities, communications, healthcare, education, transportation, manufacturing, industrial plants and governmental agencies. The company was formerly known as J2 Acquisition Limited and changed its name to APi Group Corporation in October 2019. APi Group Corporation was founded in 1926 and is headquartered in New Brighton, Minnesota.

Real-time commodities pricing data allows you to grasp where the market is, was and will be – from exchange data and OTC prices to specialist fundamentals.

Live Betting Micro-Market API Market Outlook

According to our latest research, the global Live Betting Micro-Market API market size in 2024 stands at USD 1.42 billion, reflecting robust demand from the rapidly evolving sports and gaming industries. The market is experiencing a notable expansion, recording a compound annual growth rate (CAGR) of 13.7% from 2025 to 2033. By the end of 2033, the market is forecasted to reach an impressive USD 4.23 billion. This accelerated growth is primarily fueled by the rising integration of real-time data, enhanced user engagement strategies, and the proliferation of digital betting platforms worldwide.

The primary growth factor driving the Live Betting Micro-Market API market is the increasing adoption of real-time data analytics within the sports betting industry. As bettors demand more dynamic and engaging experiences, operators are leveraging APIs to deliver instant updates, odds, and micro-market opportunities during live events. This shift towards live, in-play betting is revolutionizing how users interact with betting platforms, making APIs essential for providing seamless, data-rich experiences. The ability to offer granular betting options—such as next-goal, next-point, or minute-by-minute outcomes—has significantly expanded market opportunities, particularly as sports and esports events become more digitized and accessible to a global audience.

Another critical factor contributing to market growth is the widespread digital transformation in the gambling sector. The adoption of cloud-based solutions and advanced API technologies has enabled operators to scale quickly, integrate with multiple data sources, and ensure high availability and low latency. This technological evolution is particularly evident in regions where regulatory frameworks are becoming more supportive of online betting activities. Furthermore, the increasing popularity of esports and virtual sports has opened new avenues for API-driven micro-market betting, attracting younger demographics and expanding the market’s user base. As regulatory clarity improves and more jurisdictions legalize online betting, the demand for robust, secure, and scalable APIs is expected to surge.

Strategic partnerships and collaborations between API providers, sports leagues, and betting operators are further accelerating market development. By integrating official data feeds and leveraging advanced analytics, companies can offer more accurate and appealing betting options. The rise of mobile betting platforms and on-demand sports content has also heightened the need for APIs that deliver real-time, personalized experiences. As a result, providers are investing heavily in R&D to enhance API functionality, security, and interoperability. This ecosystem of innovation is fostering healthy competition and driving continuous improvement in live betting micro-market offerings, ultimately benefiting both operators and end-users.

From a regional perspective, Europe currently dominates the Live Betting Micro-Market API market, driven by well-established sports betting cultures and favorable regulatory environments. North America is rapidly catching up, fueled by the legalization of sports betting in several US states and the growing popularity of online gaming. The Asia Pacific region is also witnessing significant growth, particularly in countries with high smartphone penetration and emerging digital economies. These regional dynamics underscore the global nature of the market and highlight the importance of localized strategies to address varying regulatory, technological, and consumer preferences.

Component Analysis

The component segmentation of the Live Betting Micro-Market API market is primarily divided into Software and Services. Software solutions form the backbone of the market, encompassing the development and deployment of robust APIs that facilitate real-time data exchange, odds calculation, and event management. These software platforms are designed to handle hi

Snapshot img

Real-Time Location Systems (RTLS) Market Size 2025-2029

The real-time location systems (rtls) market size is forecast to increase by USD 45.5 billion, at a CAGR of 42.4% between 2024 and 2029.

The market is experiencing significant growth, driven by the increasingly low cost of Radio Frequency Identification (RFID) tags and the adoption of Ultra-Wideband (UWB) technology. RFID tags, a key component of RTLS, have seen a notable decrease in price, making them more accessible and cost-effective for businesses seeking to implement location tracking systems. UWB RTLS technology, known for its high accuracy and ability to provide real-time location data, is gaining traction in various industries, including healthcare, manufacturing, and logistics. However, the market faces challenges as well.
One major obstacle is the high implementation costs associated with deploying RTLS solutions. This includes the expense of hardware, software, and installation services. Additionally, ensuring interoperability between different RTLS systems and integrating them with existing IT infrastructure can add to the financial burden. Companies must carefully weigh the benefits of implementing RTLS against these costs to make informed strategic decisions.

What will be the Size of the Real-Time Location Systems (RTLS) 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.
Request Free Sample

Real-Time Location Systems (RTLS) continue to evolve and unfold in diverse applications across various sectors, driving market dynamics with unrelenting momentum. Healthcare monitoring and patient tracking systems utilize RTLS for improved care delivery and enhanced safety. In emergency response situations, RTLS enables quick identification and location of individuals in need. Energy efficiency gains are achieved through RTLS-enabled power consumption monitoring and optimization. Support services benefit from RTLS for streamlined workflow automation and improved productivity. Network infrastructure and cost reduction are enhanced through wireless communication and deployment services. Data visualization tools offer valuable insights through data aggregation and real-time alerts.

RTLS technology is integrated with RFID tags, ultrasonic sensor fusion, and positioning algorithms for proximity detection and outdoor positioning. Security protocols ensure data encryption and error reduction, while API integrations facilitate seamless system integration. The ongoing development of RTLS technology encompasses the deployment of mobile apps, cloud platforms, and web applications for real-time data access. Indoor positioning systems, such as those utilizing Ultra-Wideband (UWB) technology, expand the capabilities of RTLS to previously uncharted territories. Continuous innovation in RTLS technology is shaping the future of industries, from healthcare and emergency response to logistics and security management. The integration of real-time location tracking, Wi-Fi positioning, and data analytics is revolutionizing the way businesses operate, offering unprecedented levels of efficiency, productivity, and safety.

How is this Real-Time Location Systems (RTLS) Industry segmented?

The real-time location systems (rtls) 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.

Application

  Healthcare
  Transportation and logistics
  Retail
  Government
  Others


Solution

  Systems
  Tags


Technology

  Active RFID
  Passive RFID
  Others


Management

  Inventory/asset tracking and management
  Access control and security
  Environmental monitoring
  Others


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    Italy
    The Netherlands
    UK


  APAC

    China
    India
    Japan


  Rest of World (ROW)

By Application Insights

The healthcare segment is estimated to witness significant growth during the forecast period.

The market is experiencing notable growth across various industries, with a particular focus on healthcare. In this sector, RTLS solutions are revolutionizing patient care and asset management. The advantages of real-time tracking and cost savings have led to increased adoption in hospitals. Indoor Location Based Services (LBS) are a key application, integrating RTLS with clinical systems for enhanced analytics. RTLS technology facilitates improved operational efficiency, security, and safety. Positioning algorithms, such as Wi-Fi positioning and Ultra-Wideband (UWB), enable accurate indoor positioning.

Bluetooth beacons and RFID tags are essential components, supporting proximity detection and asset tracking. Integration wi

Renewable Energy Market Data API Market Outlook

According to our latest research, the global Renewable Energy Market Data API market size is valued at USD 1.21 billion in 2024, with a robust compound annual growth rate (CAGR) of 18.7% projected through the forecast period. By 2033, the market is expected to reach approximately USD 6.38 billion. This impressive growth trajectory is driven by the increasing adoption of digitalization in the energy sector, the integration of advanced analytics, and the growing necessity for real-time renewable energy data to optimize power generation, grid management, and energy trading operations globally.

One of the primary growth factors for the Renewable Energy Market Data API market is the rapid expansion of renewable energy installations worldwide. As governments and private sector players intensify their commitments to reduce carbon emissions and achieve sustainability targets, the need for precise, real-time, and interoperable data has become paramount. APIs play a critical role by enabling seamless data exchange between disparate systems, supporting the integration of solar, wind, hydro, bioenergy, and geothermal sources into national and regional grids. This digital backbone not only enhances operational efficiency but also supports regulatory compliance and reporting, which are increasingly stringent in major markets.

In addition, the proliferation of smart grids and the rising demand for advanced forecasting and analytics solutions have further accelerated the uptake of Renewable Energy Market Data APIs. Utilities, energy companies, and grid operators are leveraging these APIs to monitor performance, predict supply fluctuations, and optimize energy trading strategies in real time. The ability to access granular and actionable data empowers stakeholders to minimize downtime, manage distributed energy resources more effectively, and respond proactively to changes in supply and demand. This data-driven approach is essential for maintaining grid stability and maximizing the value of renewable assets in a rapidly evolving energy landscape.

Technological advancements in cloud computing and artificial intelligence are also shaping the future of the Renewable Energy Market Data API market. Cloud-based deployment models offer scalability, flexibility, and cost-efficiency, making them increasingly attractive for both established utilities and emerging energy startups. Meanwhile, AI-driven analytics enhance the predictive capabilities of APIs, supporting more accurate forecasting and decision-making. As the market matures, we anticipate greater standardization of API protocols and broader adoption across diverse end-user segments, including government agencies, research institutions, and independent power producers.

Regionally, North America and Europe are leading the charge in API adoption, thanks to their advanced renewable infrastructure and supportive regulatory environments. However, Asia Pacific is emerging as a high-growth market, driven by rapid urbanization, significant investments in clean energy projects, and government-led digital transformation initiatives. The Middle East & Africa and Latin America are also witnessing increased adoption, albeit at a slower pace, as these regions work to modernize their energy sectors and diversify their energy mix. Overall, the global outlook for the Renewable Energy Market Data API market remains highly positive, with substantial opportunities for innovation and expansion across all major regions.

Type Analysis

The Renewable Energy Market Data API market is segmented by type into Solar, Wind, Hydro, Bioenergy, Geothermal, and Others. The solar segment currently holds the largest share, driven by the exponential growth in solar PV installations globally and the necessity for real-time data to monitor and optimize solar asset performance. Solar APIs facilitate seamless integration of production data, weather forecasts, and maintenance schedules, enabling operators to maximize efficiency

The Global Integration Platform As A Service Market valued USD 6.51 Billion in 2023 and Is Expected To USD 82.79 Billion by 2032, CAGR of 32.65%.

Success.ai’s Firmographic Data API empowers organizations to make data-driven decisions with on-demand access to detailed insights on over 70 million companies worldwide. Covering key firmographic attributes like industry classifications, revenue size, and employee count, this API ensures your market analysis, strategic planning, and competitive benchmarking efforts are backed by continuously updated, AI-validated information.

Whether you’re exploring new markets, refining your product offerings, or optimizing partner relationships, Success.ai’s Firmographic Data API delivers the intelligence you need. Supported by our Best Price Guarantee, this solution helps you confidently navigate the global business landscape.

Why Choose Success.ai’s Firmographic Data API?

1. Detailed, Verified Firmographic Data

   • Access comprehensive company attributes including industries, revenue ranges, and headcount.
   • AI-driven validation ensures 99% accuracy, minimizing errors and fostering informed decision-making.

2. Extensive Global Coverage

   • Includes profiles of companies from North America, Europe, Asia-Pacific, and beyond.
   • Scale your strategies by tapping into emerging markets, niche sectors, and diverse geographies.

3. Continuous Data Updates

   • Receive real-time updates to keep pace with changing organizational structures, market expansions, and acquisitions.
   • Always rely on current data to guide product roadmaps, growth plans, and strategic partnerships.

4. Ethical and Compliant

   • Fully adheres to GDPR, CCPA, and other global privacy regulations, ensuring responsible, lawful data usage for every query.

Data Highlights:

• 70M+ Verified Company Profiles: Gain clarity on businesses spanning all major industries and regions.
• Industry Classifications: Filter companies by their sector focus, from manufacturing to technology.
• Revenue and Employee Counts: Understand company sizes, growth potential, and market reach.
• Global Market Insights: Use firmographic data to inform product launches, expansions, and strategic alliances.

Key Features of the Firmographic Data API:

1. Real-Time Company Enrichment

   • Enhance your CRM or analytics platforms with verified firmographic data, eliminating guesswork and manual data imports.
   • Update records automatically as companies grow, diversify, or shift their market focus.

2. Advanced Filtering and Query Capabilities

   • Query the API for specific parameters like industry vertical, company size, or geographic location.
   • Zero in on opportunities aligned with your business goals, improving efficiency and outcomes.

3. Scalability and Flexibility

   • Seamlessly integrate the API into existing workflows, CRM systems, or marketing automation tools.
   • Adjust parameters as markets evolve, ensuring that you always have the intelligence needed to adapt and thrive.

4. AI-Validated Accuracy and Reliability

   • Rely on an AI-powered validation process that continually verifies data integrity.
   • Increase confidence in strategic decisions backed by accurate, current, and relevant information.

Strategic Use Cases:

1. Market Analysis and Competitive Benchmarking

   • Identify industries poised for growth, evaluate emerging markets, and benchmark against competitor profiles.
   • Refine go-to-market strategies and product launches based on solid data rather than assumptions.

2. Strategic Partnering and M&A Efforts

   • Explore potential partners, suppliers, or acquisition targets that match your criteria, from revenue tiers to geographic presence.
   • Shorten due diligence cycles with reliable, on-demand firmographic insights.

3. Sales and Account-Based Marketing

   • Segregate target accounts by industry, size, and region to tailor outreach and messaging.
   • Personalize campaigns, improve lead quality, and increase win rates through better audience alignment.

4. Product Roadmapping and Portfolio Management

   • Inform product development by identifying high-growth verticals or underpenetrated regions.
   • Allocate resources effectively and prioritize product enhancements based on firmographic-driven insights.

Why Choose Success.ai?

1. Best Price Guarantee

   • Access premium-quality firmographic data at competitive prices, ensuring optimal ROI for your research and strategic planning.

2. Seamless Integration

   • Easily incorporate the API into existing workflows, eliminating data silos and manual data management tasks.

3. Data Accuracy with AI Validation

   • Depend on 99% accuracy to guide data-driven decisions, refine targeting, and boost strategic outcomes.

4. Customizable and Scalable Solutions

   • Tailor the dataset to specific industries, regions, or revenue segments as your business evolves and market conditions shift.

Additional APIs for Enhanced Functionality:

1. Data Enrichment API...

Find unrivaled company, commodity and economic stories formatted for automated consumption, with LSEG Real-Time News, powered by Reuters.

PowerMap can infer the subject of trading volume in real-time. This information allows users to predict the order flow by investor type of institutional, foreign, and retail traders. By implementing Direct Market Access (DMA) and High-Frequency Trading (HFT) technology, PowerMap processes and delivers large-scale transactions in real time for the Korean market. Processing high volumes of stock transactions instantly requires robust data processing capabilities. PowerMap receives direct trade data from KRX and analyzes buy and sell signals for approximately 1,000 stocks in real time, covering KOSPI stocks with a market cap over 200 billion KRW ($133.38 million) and KOSDAQ stocks over 150 billion KRW ($103.81 million).

Key Features: 💠 Real-time investor type classification (institutional, and foreign institutional) 💠 Low-latency data ingestion 💠 Coverage of over 1,200 liquid KOSPI and KOSDAQ stocks 💠 Instantaneous detection of large-block trades and directional flow 💠 Scalable architecture for high-volume transaction analysis

Primary Use Cases: 🔹 Institutional and proprietary traders monitoring market sentiment shifts 🔹 Quant desks identifying real-time trade triggers and flow-based signals 🔹 Algo developers incorporating investor-type flow into trading strategies 🔹 Broker-dealers and research teams analyzing intraday market dynamics 🔹 Portfolio managers assessing liquidity and participation trends

Contact us for a real time order flow data in different markets. Stay ahead with TradePulse's order flow insights.

Whether you're building an eCommerce dashboard, researching market trends, or prototyping beauty intelligence tools — this dataset is a perfect place to start.

Interested in Live Tracking or API?

This dataset represents just a snapshot of what we track in real time at https://beautyfeeds.io/" target="_new" rel="noopener" data-start="2004" data-end="2041">BeautyFeeds:

• Monitor price & stock changes daily or weekly

• Track products from major retailers like Sephora, Ulta, Nykaa, Amazon, and more

• Access via export or live API

• Filter by brand, country, or category

• Assign custom URLs for targeted scraping

👉 Learn more and get 500 free credits at https://beautyfeeds.io/" target="_new" rel="noopener" data-start="2342" data-end="2382">BeautyFeeds.io