API Crude Oil Stock Change in the United States increased to 1.54 BBL/1Million in July 25 from -0.58 BBL/1Million in the previous week. This dataset provides - United States API Crude Oil Stock Change- actual values, historical data, forecast, chart, statistics, economic calendar and news.

API Gasoline Stocks in the United States increased to 1.90 BBL/1Million in July 11 from -2.20 BBL/1Million in the previous week. This dataset provides - United States Api Gasoline Stocks- actual values, historical data, forecast, chart, statistics, economic calendar and news.

API Distillate Stocks in the United States increased to 0.80 BBL/1Million in July 11 from -0.80 BBL/1Million in the previous week. This dataset provides - United States API Distillate Stocks Change- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Access the American Petroleum Institute's (API) Weekly Statistical Bulletin (WSB), providing essential data for the US and regional petroleum markets.

API Cushing Number in the United States remained unchanged at 0.10 BBL/1Million in July 11 from 0.10 BBL/1Million in the previous week. This dataset provides - United States Api Cushing Number- actual values, historical data, forecast, chart, statistics, economic calendar and news.

API Crude Runs in the United States increased to 0.09 BBL/1Million in April 5 from -0.01 BBL/1Million in the previous week. This dataset provides - United States API Refinery Crude Runs- actual values, historical data, forecast, chart, statistics, economic calendar and news.

This dataset provides values for API CRUDE OIL STOCK CHANGE reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

The entire National Highway-Rail Crossing Inventory is available in three separate downloadble files. There is a file of all current Public-at-Grade crossings. There is a file of all current Private and grade-separated crossings. There is also a file which contains about 10 years of archival records for all types of crossings.

A system is identified by constructing logical boundaries around a set of processes, communications, storage, and related resources. The elements within these boundaries constitute a single system requiring a security plan. Each element of the system must (1) be under the same direct management control, (2) have the same function or mission objective, (3) have essentially the same operating characteristics and security needs, and (4) reside in the same general operating environment. This service produces a list of FISMA Systems that belong to DHS Components.

Our inventory Search API is the backbone data feed for the majority of the automotive industry. Pull vehicle listings, price, location, seller, installed equipment, photos, and much more. You only need a single subscription to gain access to every product and API endpoint that is available on our platform. Below is a breakdown of every endpoint included with a subscription:

Inventory Search API - Search inventories to access detailed vehicle breakdowns, including photos, prices, locations and installed equipment. - $0.2 per 100 calls

VIN History API - Enter a 17 digit VIN to see the price history, changing odometer readings & full details about each car for up to six years back. - $0.6 per 100 calls

Dealer API - Check inventories by unique dealer ID or locate and view inventories for multiple dealerships in geographical areas. - $0.25 per 100 calls

Enhanced Vin Decoder - Submit a 17 digit VIN to pull back year, make, model and trim with the installed equipment and detailed vehicle specs. - $8.0 per 100 calls

CRM Cleanse API - Use our data to clean prospect lists. Track any car's appearance online by 17 digit VIN and know when it has been sold. - $0.8 per 100 calls

Cars Market APIs - Get Market Days Supply value for a car - $0.6 per 100 calls

Private Party Inventory Search API - Search private seller listings by any combination of layered criteria across the US and Canada. - $1.0 per 100 calls

Auction Inventory Search API - Search auction listings by any combination of layered criteria across the US and Canada. - $0.8 per 100 calls

Dealer Recent Inventory Search API - Search by any combination of criteria to view any dealership's inventory from the last 90 days across the US and Canada. - $0.6 per 100 calls

Dealer Active Inventory Search API - Fetch dealers active inventory - $20.0 per 100 calls

Inventory Ranking API - Perform ranked search with dynamic rank criteria - $0.8 per 100 calls

OEM Incentive Search API - Search Incentive Programs for 30+ car manufacturer at one place - $0.6 per 100 calls

Cached Images API - Get a cached version of the car images of the photos listed on the VDP on the dealer's website. - $0.1 per 100 calls

Recall Lookup By VIN - Get open recall information for a VIN from multiple OEM microsites - $0.3 per 100 calls

------ Heavy Equipment APIs ------ Inventory Search API - Search used heavy equipment listings by layered criteria to get prices, options, photos, videos and equipment details. - $0.2 per 100 calls

Dealer API - Search individual dealerships or groups of dealers to see their inventories and dealer profiles. - $0.25 per 100 calls

------ Motorcycles APIs ------ Inventory Search API - Search motorcycle listings by layered criteria to get prices, options, photos, videos and equipment details. - $0.2 per 100 calls

Dealer API - Search individual dealerships or groups of dealers to see their inventories and dealer profiles. - $0.25 per 100 calls

------ Recreational Vehicles APIs ------ Inventory Search API - Search recreational vehicle listings by layered criteria to get prices, options, photos, videos and equipment details. - $0.2 per 100 calls

Dealer API - Search individual dealerships or groups of dealers to see their inventories and dealer profiles. - $0.25 per 100 calls

Stocks of crude oil in the United States increased by 7.70million barrels in the week ending July 25 of 2025. This dataset provides the latest reported value for - United States Crude Oil Stocks Change - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Locate dealerships within a requested geo location or even nationwide. You can use this endpoint to find every dealership within a certain area. This endpoint will also provide their physical address and contact information. You can also use this endpoint to get their unique dealer ID which you can use to start pulling their inventories through our Dealer Active Inventory API.

You only need a single subscription to gain access to every product and API endpoint that is available on our platform. Below is a breakdown of every endpoint included with a subscription:

Inventory Search API - Search inventories to access detailed vehicle breakdowns, including photos, prices, locations and installed equipment. - $0.2 per 100 calls

VIN History API - Enter a 17 digit VIN to see the price history, changing odometer readings & full details about each car for up to six years back. - $0.6 per 100 calls

Dealer API - Locate dealerships within a requested geo location, get dealer IDs, contact info, and physical locations - $0.25 per 100 calls

Enhanced Vin Decoder - Submit a 17 digit VIN to pull back year, make, model and trim with the installed equipment and detailed vehicle specs. - $8.0 per 100 calls

CRM Cleanse API - Use our data to clean prospect lists. Track any car's appearance online by 17 digit VIN and know when it has been sold. - $0.8 per 100 calls

Cars Market APIs - Get Market Days Supply value for a car - $0.6 per 100 calls

Private Party Inventory Search API - Search private seller listings by any combination of layered criteria across the US and Canada. - $1.0 per 100 calls

Auction Inventory Search API - Search auction listings by any combination of layered criteria across the US and Canada. - $0.8 per 100 calls

Dealer Recent Inventory Search API - Search by any combination of criteria to view any dealership's inventory from the last 90 days across the US and Canada. - $0.6 per 100 calls

Dealer Active Inventory Search API - Fetch dealers active inventory - $20.0 per 100 calls

Inventory Ranking API - Perform ranked search with dynamic rank criteria - $0.8 per 100 calls

OEM Incentive Search API - Search Incentive Programs for 30+ car manufacturer at one place - $0.6 per 100 calls

Cached Images API - Get a cached version of the car images of the photos listed on the VDP on the dealer's website. - $0.1 per 100 calls

Recall Lookup By VIN - Get open recall information for a VIN from multiple OEM microsites - $0.3 per 100 calls

------ Heavy Equipment APIs ------ Inventory Search API - Search used heavy equipment listings by layered criteria to get prices, options, photos, videos and equipment details. - $0.2 per 100 calls

Dealer API - Search individual dealerships or groups of dealers to see their inventories and dealer profiles. - $0.25 per 100 calls

------ Motorcycles APIs ------ Inventory Search API - Search motorcycle listings by layered criteria to get prices, options, photos, videos and equipment details. - $0.2 per 100 calls

Dealer API - Search individual dealerships or groups of dealers to see their inventories and dealer profiles. - $0.25 per 100 calls

------ Recreational Vehicles APIs ------ Inventory Search API - Search recreational vehicle listings by layered criteria to get prices, options, photos, videos and equipment details. - $0.2 per 100 calls

Dealer API - Search individual dealerships or groups of dealers to see their inventories and dealer profiles. - $0.25 per 100 calls

This dataset includes parking space inventory information for Montgomery County Public Parking Facilities.

Update Frequency: Monthly

The Automotive Dealership API Solutions market is experiencing robust growth, driven by the increasing need for digitalization within dealerships and the demand for seamless integration of various automotive software solutions. The market's expansion is fueled by several key factors: the rising adoption of cloud-based solutions offering scalability and cost-effectiveness; the growing importance of data analytics for improved operational efficiency and customer relationship management (CRM); and the escalating need for real-time inventory management and streamlined sales processes. Leading players like CDK Global, Nextlane, Autosoft, Cox Automotive, Dealertrack, AutoMate, AutoAlert, Servislet, Tekion, and PBS Systems are actively shaping the market landscape through continuous innovation and strategic partnerships. The market is segmented by solution type (e.g., inventory management, CRM, financing, etc.), deployment model (cloud vs. on-premise), and vehicle type. While the initial investment in API integration can be a restraint for some dealerships, the long-term benefits in terms of increased efficiency, improved customer experience, and enhanced profitability are driving widespread adoption. We project a consistent growth trajectory for the foreseeable future, driven by ongoing technological advancements and the increasing digitalization of the automotive retail landscape. The market's growth is further amplified by the expanding adoption of mobile applications and connected car technologies. Dealership APIs are becoming increasingly critical for integrating these technologies into the customer journey, providing seamless access to information and services. The competitive landscape is dynamic, with existing players constantly innovating and new entrants emerging with specialized solutions. The market is witnessing a surge in mergers and acquisitions, as companies seek to expand their product portfolios and market reach. This competitive landscape, while challenging, also fosters innovation and enhances the overall quality and breadth of API solutions available to automotive dealerships. Regional variations in adoption rates exist, primarily driven by differences in technological infrastructure and market maturity. North America and Europe currently lead the market, but significant growth opportunities are emerging in Asia-Pacific and other developing regions. The projected growth rate considers these factors, indicating a positive outlook for the Automotive Dealership API Solutions market.

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

Real-Time Material Price Index API Market Outlook

According to our latest research, the global Real-Time Material Price Index API market size reached USD 1.14 billion in 2024, demonstrating robust momentum as organizations increasingly prioritize dynamic pricing and supply chain optimization. The market is projected to grow at a CAGR of 12.7% from 2025 to 2033, reaching an estimated USD 3.39 billion by 2033. This growth is driven by heightened demand for real-time data integration, the proliferation of digital transformation initiatives across industries, and a growing emphasis on cost control and procurement efficiency. As per our latest research, the adoption of Real-Time Material Price Index APIs is accelerating, particularly as businesses seek to enhance agility and make data-driven decisions in volatile market environments.

One of the primary growth factors propelling the Real-Time Material Price Index API market is the increasing complexity and globalization of supply chains. Organizations across sectors such as construction, manufacturing, and energy face constant fluctuations in material costs due to geopolitical tensions, supply disruptions, and volatile commodity prices. Real-Time Material Price Index APIs empower these enterprises with instant access to up-to-date pricing data, enabling more accurate forecasting, agile procurement strategies, and optimized inventory management. This capability is especially critical in industries where material costs represent a significant portion of overall expenses, allowing businesses to maintain competitiveness and protect margins in an unpredictable economic landscape.

Another significant driver is the rapid digitalization of procurement and enterprise resource planning (ERP) systems. As companies invest in automation and digital transformation, the integration of Real-Time Material Price Index APIs into their digital ecosystems becomes essential for seamless operations. These APIs facilitate the automatic synchronization of pricing data with purchasing, finance, and inventory modules, reducing manual intervention and minimizing the risk of costly errors. The demand for cloud-based solutions, in particular, is surging, as they offer scalability, flexibility, and ease of integration with existing platforms. This trend is further supported by the proliferation of Industry 4.0 initiatives, where real-time data is the backbone of smart manufacturing and supply chain optimization.

The growing emphasis on data-driven decision-making is also fueling market expansion. Enterprises are increasingly leveraging advanced analytics and artificial intelligence to derive actionable insights from real-time material price data. This enables proactive risk management, dynamic pricing strategies, and improved supplier negotiations. The ability to access and analyze granular, real-time pricing information is becoming a competitive differentiator, particularly in sectors where margins are tight and responsiveness to market changes is critical. As organizations recognize the value of integrating Real-Time Material Price Index APIs with their business intelligence tools, the market is expected to witness sustained growth over the forecast period.

From a regional perspective, North America currently leads the Real-Time Material Price Index API market, driven by early adoption of digital technologies and the presence of major players in the technology and manufacturing sectors. However, Asia Pacific is emerging as a high-growth region, fueled by rapid industrialization, expanding construction activities, and increasing investment in digital infrastructure. Europe also holds a significant share, supported by stringent regulatory requirements and a strong focus on supply chain transparency. Meanwhile, Latin America and the Middle East & Africa are witnessing gradual adoption, with growth opportunities arising from infrastructure development and modernization initiatives. Overall, the global market is characterized by diverse regional dynamics, with each geography contributing uniquely to the overall growth trajectory.

Component Analysis

The Real-Time Material Price Index API market by component is primarily segmented into software and services. The software segment comprises API platforms, integration tools, and analytics solutions that facilitate the seamless retrieval and processing of real-time material pricing data. These software solutions are designed to be highly scalable and adaptable, cate

Fashion Trend API Market Outlook

According to our latest research, the global Fashion Trend API market size reached USD 1.34 billion in 2024. The market is expected to grow at a robust CAGR of 18.2% during the forecast period from 2025 to 2033. By 2033, the market is projected to attain a value of USD 5.48 billion. This remarkable expansion is driven by the rising integration of artificial intelligence and data analytics in the fashion industry, enabling brands and retailers to predict, analyze, and respond to rapidly evolving consumer preferences with unprecedented precision and agility.

One of the primary growth factors for the Fashion Trend API market is the increasing digital transformation across the global fashion ecosystem. As fashion businesses strive to remain competitive in a fast-paced environment, the need for real-time insights into consumer behavior, trend forecasting, and inventory optimization has become paramount. Fashion Trend APIs empower organizations by aggregating and analyzing massive datasets from social media, e-commerce platforms, and fashion shows, providing actionable intelligence that drives design, merchandising, and marketing decisions. The proliferation of omnichannel retail strategies and the emphasis on personalized shopping experiences further amplify the demand for these advanced API solutions, making them indispensable tools for both established brands and emerging players.

Another significant driver is the surge in e-commerce and the growing influence of social media on fashion trends. With millions of consumers engaging with fashion content online, brands are leveraging Fashion Trend APIs to monitor viral trends, influencer impact, and shifting consumer sentiments in real time. These APIs enable agile response strategies, allowing companies to adapt collections and marketing campaigns with speed and relevance. Furthermore, the integration of machine learning and natural language processing technologies within Fashion Trend APIs enhances their capability to decode complex patterns from unstructured data sources, delivering granular insights that fuel innovation and market responsiveness. This technological evolution is expected to sustain high growth momentum in the coming years.

The increasing adoption of Fashion Trend APIs among small and medium enterprises (SMEs) is also contributing to market expansion. Traditionally, advanced trend forecasting and analytics were accessible primarily to large enterprises with substantial resources. However, the democratization of API-based solutions is leveling the playing field, enabling SMEs to harness sophisticated tools for product development, inventory planning, and competitive benchmarking. This widespread adoption is fostering a more dynamic and responsive fashion landscape, where data-driven decision-making is becoming the industry norm. Additionally, the growing ecosystem of third-party developers and solution providers is accelerating innovation and customization, further augmenting the market’s growth trajectory.

Regionally, North America currently leads the Fashion Trend API market in terms of adoption and revenue, supported by a mature digital infrastructure and a high concentration of fashion technology startups. Europe follows closely, with a strong presence of luxury brands and a burgeoning e-commerce sector. The Asia Pacific region is anticipated to exhibit the fastest growth over the forecast period, propelled by the rapid digitalization of retail, the expansion of the middle-class consumer base, and the proliferation of mobile commerce. These regional dynamics underscore the global appeal and transformative potential of Fashion Trend APIs across diverse market environments.

Component Analysis

The Component segment of the Fashion Trend API market is bifurcated into Software and Services, both of which play pivotal roles in shaping the industry’s value proposition. Software solutions in this context encompass the core APIs and platforms that faci

A RESTful web service for querying data and metadata components from data sets, including instruments, observatories, and inventory. This interface calls the services of the SPDF CDAWeb data browsing system. The Space Physics Data Facility (SPDF) is the archive of non-solar data for the Heliospheric Science Division (HSD) at NASA's Goddard Space Flight Center.

The ERS content and data APIs (including our pre-made widgets for embedding charts) are currently out of service while we redesign our site. Check back here for updates--we'll keep you informed as to the progress. Contact us at webadmin@ers.usda.gov with questions.

The Data APIs provide programmatic access to select data sets.This record was taken from the USDA Enterprise Data Inventory that feeds into the https://data.gov catalog. Data for this record includes the following resources: https://www.ers.usda.gov/developer/ For complete information, please visit https://data.gov.

The inventory analysis as part of the heat planning of the city of Trier records the current heat demand and identifies the existing heat sources. It shows the current state of energy in the city of Trier. The inventory analysis is important in order to determine the current heat demand and to be able to estimate future needs. It forms the basis for further potential analyses, supply scenarios and the heat plan. The Geodata Service covers the topics of absolute heat demand, heat density and energy source distribution. Type: Polygon:The absolute heat demand was determined as part of the inventory analysis of the heat planning for the city of Trier. The absolute heat demand is shown here for heating and domestic hot water per building block [MWh/a]. The heat demand of a building is the amount of heat that must be applied by a heat generator to maintain a certain room temperature and hot water heating. Type: polygon