Facebook
TwitterThe SDP API enables downloading the content of the Publication Data Store (data and metadata describing it in the scope of SDP) to other IT systems in an automated manner.
The Publication Data Store provides access to the full information scope of public statistics in the areas of economy, society and environment. Data in the SDP API is organized in two systems, according to publication variables and according to indicators. If you want to download a wide set of information in full cross-sections and in various types of information - use the Publication variables section. However, if you need quick information about basic data at total levels, please use the Indicators section.
Facebook
TwitterAPI of NASA held and pending patents.
Facebook
TwitterThis API provides international data on nuclear electricity capacity and generation. Data organized by country. Users of the EIA API are required to obtain an API Key via this registration form: http://www.eia.gov/beta/api/register.cfm
Facebook
TwitterJackyZhuo/experimental-api-data dataset hosted on Hugging Face and contributed by the HF Datasets community
Facebook
TwitterBoost your marketing with Success.ai’s Consumer Marketing Data API. Access detailed demographic, behavioral, and purchasing data to craft targeted campaigns that resonate—best price guaranteed!
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Comprehensive dataset containing 19 verified API locations in United States with complete contact information, ratings, reviews, and location data.
Facebook
Twitter
According to our latest research, the global API Data Aggregation Platform market size reached USD 3.62 billion in 2024. The industry is experiencing robust momentum, propelled by rising demand for seamless data integration and real-time analytics. The market is projected to grow at a CAGR of 17.4% during the forecast period, with the market size expected to reach USD 14.99 billion by 2033. This growth is primarily fueled by the escalating adoption of cloud technologies, digital transformation initiatives, and the increasing need for unified data access across various sectors.
One of the foremost growth drivers in the API Data Aggregation Platform market is the exponential increase in data generation across industries. Enterprises are leveraging multiple digital channels, IoT devices, and cloud-based services, resulting in vast volumes of structured and unstructured data. To derive actionable insights, organizations are increasingly relying on API data aggregation platforms that can seamlessly collect, normalize, and consolidate data from disparate sources. This capability not only streamlines business intelligence processes but also enhances decision-making speed and accuracy. The surge in demand for real-time analytics and the necessity for organizations to remain agile in a highly competitive environment are further catalyzing market expansion.
Another significant factor contributing to the growth of the API Data Aggregation Platform market is the rapid proliferation of financial technology (fintech) and digital banking services. The BFSI sector, in particular, is witnessing a paradigm shift towards open banking, which mandates the secure sharing of customer data via APIs. API aggregation platforms play a pivotal role in this ecosystem by enabling seamless integration between banks, third-party providers, and customers. This not only enhances customer experience through personalized offerings but also ensures regulatory compliance and security. Moreover, the healthcare sector is increasingly adopting these platforms to integrate patient data from various electronic health records (EHRs), wearables, and telemedicine applications, thereby improving care coordination and patient outcomes.
The ongoing digital transformation initiatives across enterprises of all sizes are further propelling the adoption of API data aggregation platforms. Small and medium enterprises (SMEs) are leveraging these solutions to level the playing field with larger organizations by gaining access to unified data views and advanced analytics capabilities. Large enterprises, on the other hand, are utilizing API aggregation to streamline complex data ecosystems and support large-scale digital projects. The growing trend of cloud migration and the increasing importance of data-driven business models are expected to sustain this growth trajectory over the forecast period. Additionally, the rise in remote work and the need for seamless data access across distributed teams are further strengthening market demand.
The emergence of a Unified API Platform is revolutionizing the way organizations approach data integration and management. By providing a cohesive framework that consolidates various API functionalities into a single platform, businesses can streamline their operations and enhance productivity. This unified approach not only simplifies the development and deployment of APIs but also ensures consistent security, governance, and monitoring across all API interactions. As enterprises increasingly adopt digital transformation strategies, the demand for such integrated solutions is on the rise, enabling them to respond swiftly to market changes and customer demands. The Unified API Platform thus represents a significant advancement in the API ecosystem, offering a holistic solution that addresses the complexities of modern data environments.
From a regional perspective, North America currently dominates the API Data Aggregation Platform market, followed by Europe and Asia Pacific. The region's leadership can be attributed to the early adoption of advanced technologies, a mature digital infrastructure, and a strong presence of key market players. Asia Pacific, however, is anticipated to exhibit the highest growth rate over the forecast period, driven by rapid digitalization, increasing investments in IT
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This is an api that provides continuous real time as well as historic data from the network of air quality monitoring stations that are part of the national air quality monitoring network managed in cooperation between the Environmental Protection Agency and Dublin City Council, as well as other stations set up by Dublin City Council to monitor local air quality conditions. This api also provides access to Dublin City Council's network of environmental sound level monitors. For more information, visit https://dublincityairandnoise.ie/
Facebook
Twitter
According to our latest research, the FinTech Climate Data API market size reached USD 1.23 billion globally in 2024, demonstrating robust momentum as financial institutions increasingly integrate climate data into their operations. The market is projected to grow at a CAGR of 22.7% from 2025 to 2033, reaching a forecasted value of USD 9.94 billion by 2033. This rapid expansion is driven by mounting regulatory pressures, rising investor demand for climate transparency, and the urgent need for financial entities to assess climate-related risks and opportunities.
A primary growth driver for the FinTech Climate Data API market is the global shift towards sustainable finance and the intensifying focus on environmental, social, and governance (ESG) criteria. Financial institutions are under increasing pressure from regulators and investors to quantify and disclose climate-related risks embedded in their portfolios. This has led to a surge in demand for sophisticated climate data APIs that can deliver real-time, granular, and actionable insights. These APIs enable banks, asset managers, and insurance companies to integrate climate risk analytics directly into their existing risk assessment, investment analysis, and compliance workflows. As a result, the market is witnessing accelerated adoption, particularly among organizations aiming to align with international frameworks such as the Task Force on Climate-related Financial Disclosures (TCFD) and the European Union’s Sustainable Finance Disclosure Regulation (SFDR).
Another significant factor propelling the FinTech Climate Data API market is the rapid digital transformation within the financial services sector. The proliferation of cloud computing, artificial intelligence, and big data analytics has enabled the development of advanced climate data solutions that are scalable, interoperable, and easily integrated via API infrastructure. Financial technology (FinTech) companies are leveraging these capabilities to offer innovative services such as climate-adjusted portfolio management, carbon accounting, and scenario analysis. This technological evolution is lowering barriers to entry for smaller financial institutions and fintech startups, broadening the market’s user base and fostering a competitive ecosystem. Moreover, the growing collaboration between climate data providers and financial software vendors is catalyzing the creation of end-to-end solutions tailored to specific use cases across banking, asset management, and insurance.
The increasing frequency and severity of climate-related events, such as floods, wildfires, and hurricanes, have heightened awareness of the financial risks associated with climate change. This has compelled financial institutions to seek more accurate and timely data to model potential impacts on asset values, loan portfolios, and insurance liabilities. The FinTech Climate Data API market is responding by offering APIs that aggregate and normalize data from diverse sources, including satellite imagery, meteorological data, and corporate emissions disclosures. By facilitating comprehensive risk modeling and scenario analysis, these APIs are becoming indispensable tools for financial decision-makers. The trend is particularly pronounced in developed markets, where regulatory frameworks and investor expectations are driving the integration of climate data into mainstream financial analysis.
From a regional perspective, North America and Europe currently dominate the FinTech Climate Data API market, accounting for the largest share of global revenues. This leadership is attributed to the presence of major financial hubs, stringent regulatory requirements, and a high level of technological maturity. However, the Asia Pacific region is emerging as a key growth engine, supported by rapid fintech adoption, expanding financial markets, and increasing government initiatives to promote sustainable finance. Latin America and the Middle East & Africa, while still nascent, are expected to offer significant opportunities as awareness of climate risk grows and digital infrastructure improves. The regional landscape is thus characterized by a dynamic interplay of regulatory, technological, and market-driven factors shaping the adoption of climate data APIs.
Facebook
TwitterTradefeeds Commodity Prices API enables you to get commodity prices data of the major commodity asset types like energy commodities, metals, industrial commodities, agricultural commodities and livestock commodities. Each commodity asset type has a different historical coverage. A commodity within its commodity asset type has not the same historical coverage as another commodity from the group. For example, within the group of energy commodities, crude oil has a historical coverage of 34 years while coal of only 13 years. Tradefeeds offers commodity prices data either via JSON REST API, or via downloadable databases in CSV or Excel format.
If you are interested to learn more, check out the company website: https://tradefeeds.com/commodities-prices-api/
Facebook
TwitterThe FEC is A RESTful web service supporting full-text and field-specific searches on federal campaign finance data.
Facebook
TwitterDublin Bikes is a docked bike-share scheme in Dublin City. This page includes an API developed according to the General Bikeshare Feed Specification (GBFS) (e.g.) information about vehicles, stations, pricing, etc. The current location of the vehicles is updated every minute. In addition, this page includes historical files of bike location data. Disclaimer - Please note that some of the historical files are empty due to historical data issues.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The table in this dataset was created in the context of the workshop “APIs for text-based digital editions” which was organized by Heidelberg University Library and Text+ and took place on September 25, 2025. Based on brief explanations of the API design (endpoints, parameters, functionalities, formats, data types etc.), information on the development (status, version of the specification, documentation, available support channels etc.), and existing ecosystem components (reference implementations, validators, toolkits, etc.), it is intended to provide an overview of the mentioned API specifications and thus serve as an introduction and decision-making aid. The current version includes the following API specifications: Distributed Text Services (DTS) UDT-ITF API SHINE API TextAPI
Facebook
TwitterThis Application Programming Interface (API) provides instant conversion between HK 1980 Grid Coordinates (Northing and Easting) and WGS84 (ITRF96) Geodetic Coordinates (Latitude and Longitude). The conversion methods, parameters and formulas used in the coordinate conversion tool provided in this API are maintained by the Survey and Mapping Office, Lands Department. It is only applicable for coordinates within Hong Kong. Users SHOULD NOT use the results for applications requiring precise point positions. Transformation between datums does not improve the accuracy. In most cases, the transformation coordinates would be less accurate, because of the errors in the transformation and projection computation would be added to the results. Please seek advice from professional land surveyors. For enquiry, please contact the Geodetic Survey Section, Survey and Mapping Office, Lands Department. For details, please refer to User Manual (English Only): http://www.geodetic.gov.hk/transform/tformAPI_manual.pdf
Facebook
TwitterGlobal trade data of Api under 39021040, 39021040 global trade data, trade data of Api from 80+ Countries.
Facebook
TwitterDATAANT provides the ability to extract data from any website using its web scraping service.
Receive raw HTML data by triggering the API or request a custom dataset from any website.
Use the received data for: - data analysis - data enrichment - data intelligence - data comparison
The only two parameters needed to start a data extraction project: - data source (website URL) - attributes set for extraction
All the data can be delivered using the following: - One-Time delivery - Scheduled updates delivery - DB access - API
All the projects are highly customizable, so our team of data specialists could provide any data enrichment.
Facebook
TwitterSuccess.ai’s B2B Company Data API provides direct, on-demand access to in-depth firmographic insights for over 70 million companies worldwide. Covering key attributes such as industry classification, company size, revenue ranges, and geographic footprints, this API ensures your sales, marketing, and strategic planning efforts are informed by accurate, continuously updated, and AI-validated data.
Whether you’re evaluating new markets, refining your ICP (Ideal Customer Profile), or enhancing ABM campaigns, Success.ai’s B2B Company Data API delivers the intelligence needed to target the right organizations at the right time. Supported by our Best Price Guarantee, this solution empowers you to make data-driven decisions and gain a competitive edge in a complex global marketplace.
Why Choose Success.ai’s B2B Company Data API?
Comprehensive Global Coverage
AI-Validated Accuracy
Continuous Data Updates
Ethical and Compliant
Data Highlights:
Key Features of the B2B Company Data API:
On-Demand Data Enrichment
Advanced Filtering and Query Capabilities
Real-Time Validation and Reliability
Scalable and Flexible Integration
Strategic Use Cases:
Account-Based Marketing (ABM)
Market Expansion and Product Launches
Competitive Benchmarking and Analysis
Partner and Supplier Sourcing
Why Choose Success.ai?
Best Price Guarantee
Seamless Integration
Data Accuracy with AI Validation
Customizable and Scalable Solutions
Additi...
Facebook
TwitterGlobal trade data of Api under 73061910, 73061910 global trade data, trade data of Api from 80+ Countries.
Facebook
TwitterCC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
ADE & API data and Appendix for ADE
Facebook
TwitterDatabase for statistics on higher education (DBH) collects information about the activity at Norwegian universities, university colleges and vocational schools. The database contains information about education, research, employees, finances, areas etc. and is managed by the Directorate for Higher Education and Competence (HK-dir). The information constitutes a statistical bank where data can be retrieved programmatically via API or reports via screenshots, as well as as a special order upon request. There is a client that is linked to API and can be used for testing or ad hoc queries: https://dbh.hkdir.no/dbhapiklient/ The StatBank is divided by subject and table. Within each table, the user can create their own query. The query is designed in JSON format and can be tested in the client. Data is provided as CSV or JSON. Transfer is done via HTTPS or via the client. Data can be retrieved as a sample via the query, or as a whole data set (bulk data). Table 1 in the client provides an overview of the content of the API. Documentation: https://dbh.hkdir.no/static/files/dokumenter/api/api_dokumentasjon.pdf
Facebook
TwitterThe SDP API enables downloading the content of the Publication Data Store (data and metadata describing it in the scope of SDP) to other IT systems in an automated manner.
The Publication Data Store provides access to the full information scope of public statistics in the areas of economy, society and environment. Data in the SDP API is organized in two systems, according to publication variables and according to indicators. If you want to download a wide set of information in full cross-sections and in various types of information - use the Publication variables section. However, if you need quick information about basic data at total levels, please use the Indicators section.