An administrative API to manage the api.data.gov service.

api.data.gov is a free API management service for federal agencies. This API offers access to high level metrics for the APIs that are using the shared service. This API is used to power the api.data.gov metrics page.

wasmdashai/LAHJA-API-Data dataset hosted on Hugging Face and contributed by the HF Datasets community

List of company-association data (integrated via API Entreprise ), used by Démarches simplifiées. Data retrieved by API call: - Type of API called - Siret of the public actor dealing with the approach - Siret of the company carrying out the approach

Catalogue of Enterprise APIs available here

Dataset Card for Dataset Name

This dataset card aims to be a base template for new datasets. It has been generated using this raw template.

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Repository: [More… See the full description on the dataset page: https://huggingface.co/datasets/Twan123456/APIData.

The global API Data Interface Service market size is valued at USD XXX million in 2023 and is projected to grow at a CAGR of XX% from 2023 to 2033. The market is driven by the increasing adoption of cloud-based services, the rise of the Internet of Things (IoT), and the growing demand for data analytics. The on-premise segment is expected to hold the largest market share during the forecast period due to the high upfront investment and maintenance costs associated with on-premise deployments. However, the cloud-based segment is expected to grow at a faster CAGR due to the increasing popularity of cloud-based services and the lower cost of ownership associated with cloud-based deployments. The medical segment is expected to hold the largest market share during the forecast period due to the increasing demand for data analytics in the healthcare industry. The commercial segment is expected to grow at a faster CAGR due to the increasing adoption of API data interface services in the retail, manufacturing, and transportation industries. North America is expected to hold the largest market share during the forecast period due to the presence of a large number of technology companies and the high adoption of cloud-based services in the region. The Asia Pacific region is expected to grow at a faster CAGR due to the growing demand for data analytics in the region.

The API Data Interface Service market is experiencing robust growth, driven by the increasing adoption of cloud computing, the proliferation of mobile devices, and the expanding need for real-time data integration across diverse systems. The market, estimated at $50 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 15% between 2025 and 2033, reaching approximately $150 billion by 2033. This expansion is fueled by several key factors. The rise of microservices architecture necessitates seamless data exchange between independent services, boosting API usage. Furthermore, the growing demand for personalized customer experiences and the Internet of Things (IoT) contribute to the need for efficient and scalable data interface solutions. Major players like Google, Amazon, Microsoft, and IBM are actively investing in and improving their API offerings, driving innovation and market competition. While security concerns and integration complexities pose challenges, the overall market trajectory remains strongly positive, with significant opportunities for both established players and emerging startups in areas like API management, security, and analytics. The segmentation of the API Data Interface Service market is broad, encompassing various deployment models (cloud, on-premises), industry verticals (finance, healthcare, retail), and service types (RESTful APIs, SOAP APIs, GraphQL APIs). North America and Europe currently hold a significant market share, owing to the high technological advancement and early adoption of API technologies within these regions. However, rapidly developing economies in Asia-Pacific and other regions present lucrative growth opportunities. The competitive landscape is highly fragmented, with established tech giants alongside specialized API providers. Strategic alliances, acquisitions, and the continuous development of innovative API solutions are key strategies employed by companies to gain a competitive edge. Future growth will depend on the continued development of secure, reliable, and easily integrable APIs, meeting the demands of ever-evolving business needs and technological advancements.

API Data Flow Service Market Overview: API Data Flow Service Market is valued at USD 11080 million in 2025 and expected to reach USD 40520 million by 2033, at a CAGR of 19.3% over the forecast period 2025-2033. With the increasing adoption of cloud-based services and the proliferation of IoT devices, the market for API Data Flow Services is expected to witness significant growth in the coming years. Key market drivers include the need for efficient data sharing and collaboration, the growing adoption of cloud-based services, and the increasing use of IoT devices. Some of the trends shaping the market include the use of artificial intelligence (AI) and machine learning (ML) to improve data flow efficiency, the development of new data flow technologies, and the emergence of new data sharing platforms. The market is segmented by type, application, and region.

api.data.gov is a free API management service for federal agencies. The api.data.gov Admin API implements the API Umbrella Admin API and can be used by api.data.gov agency admins to perform admin operations and to query their API analytics.

JackyZhuo/experimental-api-data dataset hosted on Hugging Face and contributed by the HF Datasets community

Preliminary 1-second and 1-minute Apia (API) data are submitted to INTERMAGNET in a standardized file format (IAGA-2002) every hour.

The data can be downloaded via a free web access provided by INTERMAGNET at https://imag-data.bgs.ac.uk/GIN_V1/GINForms2 (Observatory: API; Data Type: ‘provisional’). Metadata are provided at: https://intermagnet.org/metadata/#/ (select API).

1-minute (Sample Rate: ‘minute’) ‘provisional’ API data are available since 1999. 1-second data (Sample Rate: ‘second’) ‘provisional’ API data are available since 2012.

DOI: https://doi.org/10.21420/7NXY-T568

Cite data as: GNS Science, & MNRE Samoa. (2022). Preliminary 1-second and 1-minute Apia (API) data [Data set]. INTERMAGNET.

Continuous data recorded by New Zealand's Geomagnetic Observatories API processed at 1-minute sampling and baseline (absolute values) corrected. The data is being submitted to INTERMAGNET annually (submitted by July 1st for the previous year’s data Jan 1 to 31 Dec).

API data since 1-Jan-1999

Before the definitive data for each year is being published via INTERMAGNET an international multi-step reviewing process is being applied to ensure international standards are being met.

DOI https://doi.org/10.21420/B7GS-DK09

Cite as: GNS Science. (1999). Definitive 1-minute Apia (API) data [Data set]. GNS Science, INTERMAGNET. https://doi.org/10.21420/B7GS-DK09

Aggregate national, state, and plant-level electricity generation statistics, including fuel quality and consumption, for grid-connected plants with nameplate capacity of 1 megawatt or greater Archived from https://www.eia.gov/opendata/bulkfiles.php

This archive contains raw input data for the Public Utility Data Liberation (PUDL) software developed by Catalyst Cooperative. It is organized into Frictionless Data Packages. For additional information about this data and PUDL, see the following resources:

The PUDL Repository on GitHub

PUDL Documentation

Other Catalyst Cooperative data archives

All 311 Service Request from 2010 to Present. Starting in November 2011 the data will be updated on a daily basis.

USPTO Patent Trial and Appeal Board (PTAB) API Data contains data from the PTAB E2E (end-to-end) system making public America Invents Action (AIA) Trials information and documents available.

2017 Definitive 1-minute Apia (API) data is continuous 1-second data recorded by New Zealand's Geomagnetic Observatory Apia in 2017 that was processed at 1-minute sampling, cleaned (spikes removed) and baseline (absolute values) corrected. The data was submitted to INTERMAGNET in July 2018 and passed the INTERMAGNET reviewing process.

DOI https://doi.org/10.21420/Y89S-Y383?x=y

Cite as: Petersen, T., GNS Science, Samoa Meteorology Division, & USGS. (2018). 2017 Definitive 1-minute Apia (API) data. GNS Science, INTERMAGNET. https://doi.org/10.21420/Y89S-Y383?x=y

Web API data for JSS paper.

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health data API test