100+ datasets found
  1. e

    API to the Publication Data Store

    • data.europa.eu
    html
    Updated May 17, 2024
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    Główny Urząd Statystyczny (2024). API to the Publication Data Store [Dataset]. https://data.europa.eu/88u/dataset/https-dane-gov-pl-pl-dataset-3901-api-do-skladnicy-danych-publikacyjnych
    Explore at:
    html(0)Available download formats
    Dataset updated
    May 17, 2024
    Dataset authored and provided by
    Główny Urząd Statystyczny
    Description

    The 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.

  2. NASA Patents API - Dataset - NASA Open Data Portal

    • data.nasa.gov
    Updated Mar 31, 2025
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    nasa.gov (2025). NASA Patents API - Dataset - NASA Open Data Portal [Dataset]. https://data.nasa.gov/dataset/nasa-patents-api
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    Dataset updated
    Mar 31, 2025
    Dataset provided by
    NASAhttp://nasa.gov/
    Description

    API of NASA held and pending patents.

  3. International Energy Data: Nuclear Application Programming Interface (API)

    • catalog.data.gov
    Updated Jul 6, 2021
    + more versions
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    U.S. Energy Information Administration (2021). International Energy Data: Nuclear Application Programming Interface (API) [Dataset]. https://catalog.data.gov/dataset/international-energy-data-nuclear-application-programming-interface-api
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    Dataset updated
    Jul 6, 2021
    Dataset provided by
    Energy Information Administrationhttp://www.eia.gov/
    Description

    This 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

  4. h

    experimental-api-data

    • huggingface.co
    Updated Mar 23, 2025
    + more versions
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    Le Zhuo (2025). experimental-api-data [Dataset]. https://huggingface.co/datasets/JackyZhuo/experimental-api-data
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    Dataset updated
    Mar 23, 2025
    Authors
    Le Zhuo
    Description

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

  5. s

    Consumer Marketing Data API | Tailored Consumer Insights | Target with...

    • data.success.ai
    Updated Oct 27, 2021
    + more versions
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    Success.ai (2021). Consumer Marketing Data API | Tailored Consumer Insights | Target with Precision | Best Price Guarantee [Dataset]. https://data.success.ai/products/consumer-marketing-data-api-tailored-consumer-insights-ta-success-ai
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    Dataset updated
    Oct 27, 2021
    Dataset provided by
    Success.ai
    Area covered
    Sri Lanka, Vietnam, Syrian Arab Republic, Poland, United States Minor Outlying Islands, Mongolia, Colombia, Barbados, Bosnia and Herzegovina, Svalbard and Jan Mayen
    Description

    Boost 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!

  6. p

    API Locations Data for United States

    • poidata.io
    csv, json
    Updated Dec 2, 2025
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    Business Data Provider (2025). API Locations Data for United States [Dataset]. https://poidata.io/brand-report/api/united-states
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    json, csvAvailable download formats
    Dataset updated
    Dec 2, 2025
    Dataset authored and provided by
    Business Data Provider
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2025
    Area covered
    United States
    Variables measured
    Website URL, Phone Number, Review Count, Business Name, Email Address, Business Hours, Customer Rating, Business Address, Brand Affiliation, Geographic Coordinates
    Description

    Comprehensive dataset containing 19 verified API locations in United States with complete contact information, ratings, reviews, and location data.

  7. G

    API Data Aggregation Platform Market Research Report 2033

    • growthmarketreports.com
    csv, pdf, pptx
    Updated Sep 1, 2025
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    Growth Market Reports (2025). API Data Aggregation Platform Market Research Report 2033 [Dataset]. https://growthmarketreports.com/report/api-data-aggregation-platform-market
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    csv, pdf, pptxAvailable download formats
    Dataset updated
    Sep 1, 2025
    Dataset authored and provided by
    Growth Market Reports
    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    API Data Aggregation Platform Market Outlook



    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

  8. Noise and Air Quality Monitoring API DCC - Dataset - data.gov.ie

    • data.gov.ie
    Updated Apr 15, 2025
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    data.gov.ie (2025). Noise and Air Quality Monitoring API DCC - Dataset - data.gov.ie [Dataset]. https://data.gov.ie/dataset/sonitus
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    Dataset updated
    Apr 15, 2025
    Dataset provided by
    data.gov.ie
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    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/

  9. G

    FinTech Climate Data API Market Research Report 2033

    • growthmarketreports.com
    csv, pdf, pptx
    Updated Aug 4, 2025
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    Growth Market Reports (2025). FinTech Climate Data API Market Research Report 2033 [Dataset]. https://growthmarketreports.com/report/fintech-climate-data-api-market
    Explore at:
    csv, pptx, pdfAvailable download formats
    Dataset updated
    Aug 4, 2025
    Dataset authored and provided by
    Growth Market Reports
    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    FinTech Climate Data API Market Outlook



    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.



  10. d

    Tradefeeds Commodity Prices API

    • datarade.ai
    Updated Oct 18, 2022
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    Tradefeeds (2022). Tradefeeds Commodity Prices API [Dataset]. https://datarade.ai/data-products/tradefeeds-commodity-prices-api-tradefeeds
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    .json, .xml, .csv, .xlsAvailable download formats
    Dataset updated
    Oct 18, 2022
    Dataset authored and provided by
    Tradefeeds
    Area covered
    Russian Federation, United States of America, Canada, United Kingdom
    Description

    Tradefeeds 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/

  11. FEC API

    • catalog.data.gov
    • s.cnmilf.com
    • +1more
    Updated Nov 12, 2020
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    Federal Election Commission (2020). FEC API [Dataset]. https://catalog.data.gov/dataset/fec-api
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    Dataset updated
    Nov 12, 2020
    Dataset provided by
    Federal Election Commissionhttp://www.fec.gov/
    Description

    The FEC is A RESTful web service supporting full-text and field-specific searches on federal campaign finance data.

  12. s

    Dublinbikes API DCC - Dataset - data.smartdublin.ie

    • data.smartdublin.ie
    Updated May 9, 2019
    + more versions
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    (2019). Dublinbikes API DCC - Dataset - data.smartdublin.ie [Dataset]. https://data.smartdublin.ie/dataset/dublinbikes-api
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    Dataset updated
    May 9, 2019
    Description

    Dublin 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.

  13. h

    APIs for text-based digital editions [data]

    • heidata.uni-heidelberg.de
    csv, xlsx
    Updated Nov 17, 2025
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    Katharina Brückmann; Katharina Brückmann; Philipp Hegel; Philipp Hegel (2025). APIs for text-based digital editions [data] [Dataset]. http://doi.org/10.11588/DATA/4EKAGI
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    csv(12614), xlsx(13959)Available download formats
    Dataset updated
    Nov 17, 2025
    Dataset provided by
    heiDATA
    Authors
    Katharina Brückmann; Katharina Brückmann; Philipp Hegel; Philipp Hegel
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    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

  14. Coordinates Transformation API | DATA.GOV.HK

    • data.gov.hk
    Updated Nov 1, 2017
    + more versions
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    data.gov.hk (2017). Coordinates Transformation API | DATA.GOV.HK [Dataset]. https://data.gov.hk/en-data/dataset/hk-landsd-openmap-coordinates-transformation-api
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    Dataset updated
    Nov 1, 2017
    Dataset provided by
    data.gov.hk
    Description

    This 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

  15. e

    Api under 39021040 global trade Data, Api trade data

    • eximpedia.app
    Updated Jan 31, 2023
    + more versions
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    (2023). Api under 39021040 global trade Data, Api trade data [Dataset]. https://www.eximpedia.app/search/hs-code-39021040-of-api-global-trade
    Explore at:
    Dataset updated
    Jan 31, 2023
    Description

    Global trade data of Api under 39021040, 39021040 global trade data, trade data of Api from 80+ Countries.

  16. d

    DATAANT | Custom Data Extraction | Web Scraping Data | Dataset, API | Data...

    • datarade.ai
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    Dataant, DATAANT | Custom Data Extraction | Web Scraping Data | Dataset, API | Data Parsing and Processing | Worldwide [Dataset]. https://datarade.ai/data-products/dataant-custom-data-extraction-web-scraping-data-datase-dataant
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    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset authored and provided by
    Dataant
    Area covered
    Bulgaria, Israel, Andorra, Niger, Uruguay, Vanuatu, Yemen, Algeria, Lithuania, Morocco
    Description

    DATAANT 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.

  17. B2B Company Data API | Gain Comprehensive Firmographic Insights | Access...

    • datarade.ai
    Updated Feb 12, 2018
    + more versions
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    Success.ai (2018). B2B Company Data API | Gain Comprehensive Firmographic Insights | Access Profiles of 70M+ Companies | Best Price Guarantee [Dataset]. https://datarade.ai/data-products/b2b-company-data-api-gain-comprehensive-firmographic-insigh-success-ai
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Feb 12, 2018
    Dataset provided by
    Area covered
    Iceland, Korea (Democratic People's Republic of), Mauritania, Tunisia, Malta, Tokelau, Solomon Islands, Kuwait, Italy, Armenia
    Description

    Success.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?

    1. Comprehensive Global Coverage

      • Access profiles of over 70 million companies spanning multiple industries, sectors, and regions.
      • Confidently enter new markets, identify niche segments, and discover growth opportunities across the globe.
    2. AI-Validated Accuracy

      • Benefit from 99% data accuracy through AI-driven validation, ensuring every insight is reliable and actionable.
      • Trust that your decisions are backed by current, high-quality information, minimizing risk and guesswork.
    3. Continuous Data Updates

      • Real-time refreshes keep you aligned with evolving market conditions, organizational changes, and industry dynamics.
      • Always operate with the most relevant data, ensuring your outreach and strategies remain timely and impactful.
    4. Ethical and Compliant

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

    Data Highlights:

    • 70M+ Verified Company Profiles: Leverage a vast database to discover new accounts, refine targeting, and guide strategic initiatives.
    • Firmographic Insights: Gain visibility into industry classifications, company sizes, revenue tiers, and regional footprints.
    • Continuously Updated: Stay current with market expansions, mergers, and new entrants, seizing opportunities early.
    • Best Price Guarantee: Optimize ROI by accessing top-tier data at the most competitive prices on the market.

    Key Features of the B2B Company Data API:

    1. On-Demand Data Enrichment

      • Instantly enhance CRM records or marketing databases with verified company profiles, eliminating guesswork.
      • Maintain data hygiene and ensure teams always work with accurate, current intelligence.
    2. Advanced Filtering and Query Capabilities

      • Query the API to segment companies by industry, location, employee count, or revenue.
      • Zero in on the precise accounts that match your ideal customer profile, improving conversion and engagement rates.
    3. Real-Time Validation and Reliability

      • Rely on continuous data refreshes and AI validation for impeccable data integrity.
      • Reduce wasted effort and improve decision-making backed by trustworthy insights.
    4. Scalable and Flexible Integration

      • Seamlessly integrate the API into CRMs, analytics tools, or marketing platforms, streamlining workflows.
      • Adjust parameters as market conditions evolve, ensuring your data needs always match your strategic priorities.

    Strategic Use Cases:

    1. Account-Based Marketing (ABM)

      • Identify high-value accounts aligned with your ICP using firmographic data.
      • Deliver personalized outreach, increasing engagement, deal size, and overall ABM success.
    2. Market Expansion and Product Launches

      • Enter new markets with confidence by identifying industry leaders, rising players, and underserved segments.
      • Validate product-market fit and refine go-to-market strategies using data-driven insights.
    3. Competitive Benchmarking and Analysis

      • Monitor industry landscapes and track competitor growth to anticipate trends and pivot strategies proactively.
      • Stay ahead of market shifts by aligning solutions with evolving customer needs.
    4. Partner and Supplier Sourcing

      • Discover reliable partners, suppliers, or distributors based on firmographic filters.
      • Strengthen supply chains, reduce risks, and ensure stable growth through informed partner selection.

    Why Choose Success.ai?

    1. Best Price Guarantee

      • Access premium-quality B2B company data at industry-leading prices, maximizing ROI for data-driven initiatives.
    2. Seamless Integration

      • Incorporate the API into existing workflows easily, eliminating manual data imports and siloed processes.
    3. Data Accuracy with AI Validation

      • Rely on 99% accuracy to guide data-driven choices, refine targeting, and improve conversion rates.
    4. Customizable and Scalable Solutions

      • Tailor datasets to focus on particular industries, regions, or company sizes, adapting as your goals shift.

    Additi...

  18. e

    Api under 73061910 global trade Data, Api trade data

    • eximpedia.app
    Updated Jan 31, 2023
    + more versions
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    (2023). Api under 73061910 global trade Data, Api trade data [Dataset]. https://www.eximpedia.app/search/hs-code-73061910-of-api-global-trade
    Explore at:
    Dataset updated
    Jan 31, 2023
    Description

    Global trade data of Api under 73061910, 73061910 global trade data, trade data of Api from 80+ Countries.

  19. H

    ADE & API data and Appendix

    • dataverse.harvard.edu
    • search.dataone.org
    Updated Jun 16, 2025
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    yoshitaka higashi (2025). ADE & API data and Appendix [Dataset]. http://doi.org/10.7910/DVN/CUWQAC
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 16, 2025
    Dataset provided by
    Harvard Dataverse
    Authors
    yoshitaka higashi
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    ADE & API data and Appendix for ADE

  20. g

    API v HK-dir’s Database for Statistics on Higher Education (DBH).

    • gimi9.com
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    API v HK-dir’s Database for Statistics on Higher Education (DBH). [Dataset]. https://gimi9.com/dataset/eu_https-data-norge-no-node-3102_1/
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    Description

    Database 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

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Główny Urząd Statystyczny (2024). API to the Publication Data Store [Dataset]. https://data.europa.eu/88u/dataset/https-dane-gov-pl-pl-dataset-3901-api-do-skladnicy-danych-publikacyjnych

API to the Publication Data Store

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Dataset updated
May 17, 2024
Dataset authored and provided by
Główny Urząd Statystyczny
Description

The 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.

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