Summary dataset showing average prices in 2019 for hacked log-ins for most well-known online accounts for sale on darknet markets. The dataset includes accounts for notable U.S. and UK online brands and shows price change compared to 2018 as a percentage.

Success.ai’s Online Search Trends Data API empowers businesses, marketers, and product teams to stay ahead by monitoring real-time online search behaviors of over 700 million users worldwide. By tapping into continuously updated, AI-validated data, you can track evolving consumer interests, pinpoint emerging keywords, and better understand buyer intent.

This intelligence allows you to refine product positioning, anticipate market shifts, and deliver hyper-relevant campaigns. Backed by our Best Price Guarantee, Success.ai’s solution provides the valuable insight needed to outpace competitors, adapt to changing market dynamics, and consistently meet consumer expectations.

Why Choose Success.ai’s Online Search Trends Data API?

1. Real-Time Global Insights

   • Leverage up-to-the-minute search data from users spanning all major industries, regions, and demographics.
   • Confidently tailor campaigns, content, and product roadmaps to match dynamic consumer interests and seasonality.

2. AI-Validated Accuracy

   • Rely on 99% data accuracy through AI-driven validation, reducing guesswork and improving conversion rates.
   • Make data-driven decisions supported by credible, continuously refreshed intelligence.

3. Continuous Data Updates

   • Stay aligned with changing market conditions, competitor moves, and evolving consumer behaviors as they happen.
   • Adapt swiftly to shifting trends, product demands, and industry developments, maintaining long-term relevance.

4. Ethical and Compliant

   • Fully adheres to GDPR, CCPA, and other global data privacy regulations, ensuring responsible data usage and brand protection.

Data Highlights:

• 700M+ Global User Insights: Access search trends, queries, and user behaviors for unparalleled audience understanding.
• Real-Time Updates: Maintain agility in content creation, product development, and marketing strategies.
• AI-Validated Accuracy: Trust in high-fidelity data to inform critical decisions, reducing wasted investments.
• Best Price Guarantee: Maximize ROI by accessing premium-quality data at unbeatable value.

Key Features of the Online Search Trends Data API:

1. On-Demand Trend Analysis

   • Query the API to identify emerging keywords, popular topics, and changing consumer priorities.
   • React rapidly to new opportunities, delivering content and offers that resonate with current market interests.

2. Advanced Filtering and Segmentation

   • Filter by region, industry vertical, time frames, or user attributes.
   • Focus on audiences and themes most relevant to your strategic goals, improving campaign performance and message relevance.

3. Real-Time Validation and Reliability

   • Benefit from AI-driven validation to ensure data integrity and accuracy.
   • Reduce risk, optimize resource allocation, and confidently direct initiatives supported by up-to-date, trustworthy data.

4. Scalable and Flexible Integration

   • Easily integrate the API into existing marketing automation platforms, analytics tools, or product management software.
   • Adjust parameters as goals evolve, ensuring long-term flexibility and alignment with strategic objectives.

Strategic Use Cases:

1. Product Development and Innovation

   • Identify rising user interests, unmet needs, or competitive gaps by analyzing search trends.
   • Shape product features, enhancements, or entirely new offerings based on verified consumer demand.

2. Content Marketing and SEO

   • Uncover trending topics, popular keywords, and seasonal interests to produce relevant content.
   • Improve organic reach, engagement, and lead generation by meeting users at the intersection of their search intent.

3. Market Entry and Expansion

   • Validate market readiness and user curiosity in new regions or niches.
   • Enter unfamiliar territories or launch product lines confidently, backed by real-time search insights.

4. Advertising and Campaign Optimization

   • Align ad creatives, messaging, and promotions with the most popular search terms.
   • Increase CTRs, conversions, and overall campaign efficiency by resonating more deeply with consumer interests.

Why Choose Success.ai?

1. Best Price Guarantee

   • Access high-quality search trends data at the most competitive prices, ensuring exceptional ROI on data-driven initiatives.

2. Seamless Integration

   • Incorporate the API into your workflow with ease, enhancing productivity and eliminating data silos.

3. Data Accuracy with AI Validation

   • Trust in 99% accuracy to guide strategies, refine targeting, and achieve stronger engagement outcomes.

4. Customizable and Scalable Solutions

   • Tailor datasets, filters, and time frames to your evolving market conditions, strategic ambitions, and audience needs.

Additional APIs for Enhanced Functionality:

1. Data Enrichment API
   • Combine search trends data with o...

In 2024, the online media market in Southeast Asia amounted to approximately ** billion U.S. dollars. This was forecasted to increase further by 2030, in which the online media market across Southeast Asia was expected to be worth approximately ** billion U.S. dollars.Online media includes video-on-demand services, online gaming, advertising and music streaming platforms.

The value of the online resale market in the United States is forecast to exceed the value of offline resale by 2026, according to a recent study. In 2021, the offline resale market was valued at **** billion U.S. dollars, which is approximately ** billion U.S. dollars higher than the value of the online market for reselling of goods. By 2026, online resale is expected to reach ***** billion U.S. dollars, taking over the offline market at ***** billion U.S. dollars.

The online market value of resale products in the United States is expected to surpass the offline channel by 2030. In 2020, the online resale market value accounted for **** billion U.S. dollars, and in 2030 is expected to reach ***** billion.

Average prices in 2019 for U.S. stolen ID, personal data and hacked accounts for sale on darknet markets. It’s ordered by type of credential, in descending order by average sale value.

Wheat fell to 562.25 USd/Bu on July 3, 2025, down 0.31% from the previous day. Over the past month, Wheat's price has risen 3.50%, but it is still 4.78% lower than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Wheat - values, historical data, forecasts and news - updated on July of 2025.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

Cloudflare (NET) Navigates the Web of Growth

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

Iron Ore rose to 96.24 USD/T on July 3, 2025, up 1.17% from the previous day. Over the past month, Iron Ore's price has risen 0.99%, but it is still 14.88% lower than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Iron Ore - values, historical data, forecasts and news - updated on July of 2025.

Coffee fell to 293.47 USd/Lbs on July 3, 2025, down 0.72% from the previous day. Over the past month, Coffee's price has fallen 15.05%, but it is still 31.39% higher than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Coffee - values, historical data, forecasts and news - updated on July of 2025.

The eCommerce aggregator market is experiencing robust growth, driven by the increasing preference for online shopping and the desire for a streamlined, comparison-based purchasing experience. Consumers benefit from aggregated product listings, competitive pricing comparisons, and simplified checkout processes, leading to increased adoption. The market's Compound Annual Growth Rate (CAGR) is estimated at 15%, indicating significant expansion potential. This growth is fueled by several key trends, including the rise of mobile commerce, the increasing sophistication of aggregator platforms (offering features like personalized recommendations and advanced search filters), and the expanding integration with social media for product discovery. While challenges exist, such as maintaining data accuracy across multiple retail sources and navigating intense competition among aggregators, the overall market outlook remains positive. Significant investment in technology and strategic partnerships with retailers are key strategies for success in this rapidly evolving landscape. Market segmentation reveals strong growth in specific application areas, such as travel and electronics, likely fueled by high consumer demand and readily available product data. Similarly, the market is seeing traction in specific aggregator types, such as those specializing in price comparison or those offering curated product selections tailored to niche demographics. Regional variations exist, with North America and Europe currently holding significant market shares due to established e-commerce infrastructure and high consumer spending. However, Asia-Pacific is projected to experience the fastest growth, driven by rising internet penetration and expanding middle classes in countries like India and China. The continued focus on improving user experience, enhancing data analytics capabilities, and expanding international reach will be crucial factors shaping the competitive landscape in the years ahead. The forecast period of 2025-2033 promises significant growth opportunities for both established players and new entrants.

The online grocery market will grow from $561.3 Bn in 2025 to $887.7 Bn by 2035 at a 22.1% CAGR, driven by demand for convenience and fast home delivery.

It is forecast that the global online trading market will increase at a global compound annual growth rate of *** percent per year, increasing to an estimated **** billion U.S. dollars in 2026. This is from a base of around ***** billion U.S. dollars in 2022. Following the coronavirus pandemic beginning in 2020, online trading activity increased among millennial investors. Many online brokers, including Robinhood, experienced notable growth in the number of platform users from the second quarter of 2020 through to 2021. A low-cost business model, paired with technological integration and social media promotion were contributing factors to the popularity of online trading. What is an online trading platform? The online trading market is typically accessed through an online market broker, providing a platform for users to track market prices and execute buy and sell orders on financial securities. The user typically holds their portfolio through an online broker. The number of monthly downloads for leading online trading apps spiked in early 2021. While this was influenced by media attention to popular news stories such as the increase in the price of GameStop shares, online trading is expected to continue as an alternative to traditional investment methods. Factors driving online trading The integration of technology has improved investing activities. From a global survey, most respondents stated technology made investing easier, cheaper, and more efficient. The use of technology allowed information such as real-time data, industry and firm reports, and trading notifications to be more accessible directly to the investor. Online platforms had experienced an increase in the number of trades placed per day, in 2019, interactive brokers had an average of 1,380 trades placed per day. This number steadily increased to 3,905 trades per day in 2021. Technological integration allowed trading via online platforms to be an alternative to traditional methods of relying on an in-person full-service broker.

The e-commerce marketplace aggregator market is experiencing robust growth, driven by the increasing preference for online shopping and the desire for streamlined product discovery. Consumers benefit from accessing a wider selection of products from multiple marketplaces through a single platform, eliminating the need to navigate numerous individual websites. This convenience, coupled with features like price comparison tools and curated product recommendations, fuels market expansion. The market's Compound Annual Growth Rate (CAGR) is estimated at 15% based on industry trends and similar sectors experiencing rapid digital transformation. This translates to a substantial market size increase over the forecast period (2025-2033), potentially reaching several billion dollars by 2033, considering a 2025 market size of around $500 million (this is an estimated figure based on general market size for comparable services). Key drivers include rising smartphone penetration, improved internet infrastructure globally, and the burgeoning adoption of mobile commerce. However, challenges remain. Intense competition from established e-commerce giants and the need for continuous technological innovation to maintain a competitive edge pose significant restraints. Data security and privacy concerns are also crucial factors influencing consumer trust and market adoption. Market segmentation reveals strong growth in both the B2C (business-to-consumer) and B2B (business-to-business) application segments, with particular traction in specific types such as those offering specialized product niches (e.g., sustainable goods, luxury items) or leveraging advanced AI-powered recommendation engines. Geographical expansion is another significant trend, with North America and Asia-Pacific currently leading the market, but strong potential for growth in emerging economies as online infrastructure improves. Successful players will need to focus on delivering a seamless user experience, offering personalized recommendations, and establishing trust through transparent data handling practices.

Price Comparison Websites (PCWs) Market Outlook

According to our latest research, the global Price Comparison Websites (PCWs) market size reached USD 10.8 billion in 2024, with a robust year-on-year growth trajectory. The market is expected to expand at a CAGR of 10.2% during the forecast period, reaching USD 25.8 billion by 2033. This impressive growth is primarily fueled by the increasing digitalization of retail, the proliferation of e-commerce platforms, and the growing consumer demand for transparency and value in online purchasing decisions. As per the latest research, the surge in mobile internet penetration and the integration of advanced technologies such as artificial intelligence and machine learning are further accelerating the adoption and effectiveness of price comparison websites globally.

One of the primary growth drivers for the Price Comparison Websites (PCWs) market is the evolving consumer behavior toward online shopping and digital services. Consumers are increasingly seeking platforms that can help them make informed purchasing decisions by providing real-time comparisons of products, services, and prices across multiple vendors. The convenience offered by PCWs, along with the assurance of finding the best deals, has resulted in a significant uptick in user engagement. Furthermore, the rise of e-commerce giants and the diversification of online marketplaces have created a complex shopping environment, making price comparison websites an essential tool for both consumers and businesses looking to optimize their purchasing and selling strategies. As a result, PCWs have established themselves as a critical component of the global digital commerce ecosystem.

Another significant factor contributing to the growth of the PCWs market is the rapid advancement in technology. The integration of artificial intelligence, machine learning, and big data analytics has enabled price comparison websites to offer more personalized and accurate recommendations to users. These technologies allow PCWs to analyze vast amounts of data, predict price trends, and deliver tailored deals based on individual preferences and browsing history. Additionally, the adoption of mobile-first strategies has made price comparison services more accessible, driving higher engagement rates, especially among younger, tech-savvy consumers. The ongoing innovation in user experience design and the implementation of secure payment gateways have further enhanced consumer trust and loyalty toward these platforms.

The expanding scope of PCWs beyond traditional product categories is also a key growth factor. Initially focused on electronics and consumer goods, price comparison websites have diversified into sectors such as travel, insurance, financial services, and utilities. This diversification has opened up new revenue streams and attracted a broader user base. For instance, travel comparison sites are now instrumental in helping consumers find the best deals on flights, hotels, and car rentals, while insurance and financial services comparison platforms empower users to make informed choices about policies and investment options. The ability to compare a wide range of products and services on a single platform not only enhances user convenience but also positions PCWs as indispensable tools in the modern digital economy.

Regionally, the market for price comparison websites shows strong growth across North America, Europe, and the Asia Pacific, with each region exhibiting unique adoption patterns and growth drivers. In North America, high internet penetration and a mature e-commerce landscape have fostered widespread acceptance of PCWs. Europe, with its diverse retail ecosystem and stringent consumer protection regulations, has also witnessed substantial growth. Meanwhile, the Asia Pacific region is emerging as a high-growth market, propelled by rapid digitalization, increasing smartphone usage, and a burgeoning middle class. The competitive dynamics in these regions are shaped by local consumer preferences, regulatory environments, and the presence of regional and global players, making the PCWs market a dynamic and evolving space worldwide.

Crude Oil fell to 66.61 USD/Bbl on July 3, 2025, down 1.24% from the previous day. Over the past month, Crude Oil's price has risen 5.99%, but it is still 20.72% lower than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Crude Oil - values, historical data, forecasts and news - updated on July of 2025.

Global Online Hyperlocal Services Market is segmented By End Use (Individual Users and Commercial Users) and Service (Food Ordering, Grocery Ordering, Home Utility Service, Logistic Service Providers, and Others) and Geography

The eCommerce aggregator market is experiencing robust growth, driven by increasing consumer demand for convenience, price comparison, and wider product selection. The market's expansion is fueled by the proliferation of online shopping and the increasing adoption of mobile commerce. Consumers are seeking efficient ways to navigate the complexities of numerous online retailers, and aggregators offer a streamlined solution by consolidating product listings from various sources onto a single platform. This facilitates easy price comparisons, simplifies the purchasing process, and often provides access to exclusive deals and promotions. The market is segmented by application (e.g., travel, fashion, electronics) and type (e.g., price comparison websites, curated marketplaces), with each segment exhibiting unique growth trajectories. While geographical penetration varies, regions such as North America and Asia-Pacific are currently leading the market due to high internet penetration and robust e-commerce infrastructure. However, emerging markets in regions like South America and Africa are showing significant potential for future growth as digital adoption rates accelerate. Challenges remain, including maintaining data accuracy and consistency across multiple sources, managing complex logistics for diverse product offerings, and addressing concerns related to data privacy and security. Furthermore, competition from established e-commerce giants and new entrants continues to shape the market landscape. The forecast for the eCommerce aggregator market indicates continued expansion over the next decade. The Compound Annual Growth Rate (CAGR) suggests a significant increase in market value, though the precise figures depend on several factors including technological advancements, regulatory changes, and economic conditions. Key players in this dynamic market are continuously innovating to enhance their offerings, including personalized recommendations, advanced search functionalities, and improved user interfaces. Successful aggregators will need to strategically adapt to evolving consumer preferences, leverage data analytics to optimize their platforms, and forge strong partnerships with retailers to maintain a competitive edge. The focus on personalized user experiences and effective marketing strategies will be crucial to driving continued market growth.

We examine the pricing trends in the online toy markets by using panel data regression models with error components and serial correlation. Our results indicate that both online branch of multi-channel retailers (OBMCRS) and dotcoms charge similar prices on average, and that over time their prices move in tandem. Although the OBMCR retailers charge significantly different prices, the dotcoms do charge similar prices. Moreover, both retailer types demonstrate different magnitudes of price dispersion that move at different rates over time. Although the price dispersion of OBMCRS is higher than that of the dotcoms at the beginning, the gap narrows over time.

Average prices in 2018 for UK stolen ID, personal data and hacked accounts for sale on darknet markets. It’s ordered by type of credential, in descending order by average sale value.