Quick Stats API is the programmatic interface to the National Agricultural Statistics Service's (NASS) online database containing results from the 1997, 2002, 2007, and 2012 Censuses of Agriculture as well as the best source of NASS survey published estimates. The census collects data on all commodities produced on U.S. farms and ranches, as well as detailed information on expenses, income, and operator characteristics. The surveys that NASS conducts collect information on virtually every facet of U.S. agricultural production.

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

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!

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/

Use our trusted SportMonks Football API to build your own sports application and be at the forefront of football data today.

Our Football API is designed for iGaming, media, developers and football enthusiasts alike, ensuring you can create a football application that meets your needs.

Over 20,000 sports fanatics make use of our data. We know what data works best for you, so we ensured that our Football API has all the necessary tools you need to create a successful football application.

• Livescores and schedules Our Football API features extremely fast livescores and up-to-date season schedules, meaning your app will be the first to notify its customers about a goal scored. This also works to further improve the look and feel of your website.

• Statistics and line-ups We offer various kinds of football statistics, ranging from (live) player statistics to team, match and season statistics. And that’s not all - we also provide pre-match lineups for all important leagues.

• Coverage and historical data Our Football API covers over 1,200 leagues, all managed by our in-house scouts and data platform. That means there’s up to 14 years of historical data available.

• Bookmakers and odds Build your football sportsbook, odds comparison or betting portal with our pre-match and in-play odds collated from all major bookmakers and markets.

• TV Stations and highlights Show your customers where the football games are broadcasted and provide video highlights of major match events.

• Standings and topscorers Enhance your football website with standings and live standings, and allow your customers to see the top scorers and what the season's standings are.

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.

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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...

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

UniCourt is a leader in making judge data for state and federal (PACER) courts more organized, structured, and accessible with API access to AI normalized judicial data connecting real-world judges to the cases they’ve heard and the parties, attorneys, and law firms who’ve appeared before them.

AI Normalized Judges

• Our AI identifies and aggregates judicial name variations and misspellings in court data and combines them with bar records, judicial records, and other public records to connect real-world judges with cases they’ve heard. • Improve your analytics reports and identify new data points you can use to analyze judges with better, normalized judge data. • Use UniCourt’s unique normalized IDs to quickly search for and download all of the cases involving particular judges. • See all of the connections between judges and other real-world attorneys, law firms, and parties with our normalized court data.

Using APIs to Dig Deeper

• Conduct enhanced case research on the precise issues or motions a judge or panel of judges have ruled on, including motions for summary judgment, discovery, peremptory challenges, and much more. • Leverage UniCourt’s automated court searches, APIs, and our normalized judge IDs to get automatic alerts when particular judges hand down new rulings or have new cases added to their docket. • See how opposing counsel have handled certain types of litigation in front of judges in state and federal (PACER) courts and the outcomes they obtained. • Go beyond civil litigation data with UniCourt and download all the criminal court cases judges have handled to gauge their sentencing history and rulings at critical junctures.

Bulk Access to Judge Data

• Get bulk access to judge data, including background information from public data on which law schools and colleges they attended, their party affiliation, who appointed them to their judgeship, and more. • Use UniCourt’s Judge Data API to download all of the structured, enriched data you need to build your own judicial analytics, machine learning models, and the next generation of innovative legal tech tools. • Power your internal applications and databases with 100+ million court records and billions of docket entries all connected to real-world judges. • Stop manually logging into multiple state and federal court databases to get the judge data you need and automate your data entry and workflow processes with APIs.

Renewable Energy Market Data API Market Outlook

According to our latest research, the global Renewable Energy Market Data API market size is valued at USD 1.21 billion in 2024, with a robust compound annual growth rate (CAGR) of 18.7% projected through the forecast period. By 2033, the market is expected to reach approximately USD 6.38 billion. This impressive growth trajectory is driven by the increasing adoption of digitalization in the energy sector, the integration of advanced analytics, and the growing necessity for real-time renewable energy data to optimize power generation, grid management, and energy trading operations globally.

One of the primary growth factors for the Renewable Energy Market Data API market is the rapid expansion of renewable energy installations worldwide. As governments and private sector players intensify their commitments to reduce carbon emissions and achieve sustainability targets, the need for precise, real-time, and interoperable data has become paramount. APIs play a critical role by enabling seamless data exchange between disparate systems, supporting the integration of solar, wind, hydro, bioenergy, and geothermal sources into national and regional grids. This digital backbone not only enhances operational efficiency but also supports regulatory compliance and reporting, which are increasingly stringent in major markets.

In addition, the proliferation of smart grids and the rising demand for advanced forecasting and analytics solutions have further accelerated the uptake of Renewable Energy Market Data APIs. Utilities, energy companies, and grid operators are leveraging these APIs to monitor performance, predict supply fluctuations, and optimize energy trading strategies in real time. The ability to access granular and actionable data empowers stakeholders to minimize downtime, manage distributed energy resources more effectively, and respond proactively to changes in supply and demand. This data-driven approach is essential for maintaining grid stability and maximizing the value of renewable assets in a rapidly evolving energy landscape.

Technological advancements in cloud computing and artificial intelligence are also shaping the future of the Renewable Energy Market Data API market. Cloud-based deployment models offer scalability, flexibility, and cost-efficiency, making them increasingly attractive for both established utilities and emerging energy startups. Meanwhile, AI-driven analytics enhance the predictive capabilities of APIs, supporting more accurate forecasting and decision-making. As the market matures, we anticipate greater standardization of API protocols and broader adoption across diverse end-user segments, including government agencies, research institutions, and independent power producers.

The Renewable Energy Volatility Index is becoming an increasingly important tool for stakeholders in the renewable energy sector. As the market continues to grow and evolve, understanding the fluctuations in renewable energy production and pricing is critical for effective decision-making. The index provides valuable insights into the variability and predictability of renewable energy sources, allowing utilities, energy companies, and investors to better manage risk and optimize their strategies. By tracking changes in renewable energy output and market dynamics, the Renewable Energy Volatility Index helps stakeholders anticipate potential challenges and capitalize on emerging opportunities. This index is particularly useful in regions with high penetration of renewables, where grid stability and energy trading are heavily influenced by fluctuating supply and demand patterns.

Regionally, North America and Europe are leading the charge in API adoption, thanks to their advanced renewable infrastructure and supportive regulatory environments. However, Asia Pacific is emerging as a high-growth market, driven by rapid urbanization, significant investments in clean energy projects, and government-led digital transformation initiatives. The Middle East & Africa and Latin America are also witnessing increased adoption, albeit at a slower pace, as these regions work to modernize their energy sectors and diversify their energy mix. Overall, the global outlook for the Renewable Energy Market Data API market remains highly

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