In today’s digital world, data is king. Companies and individuals alike rely heavily on data to make decisions, draw insights, and drive innovation. However, obtaining accurate and reliable data can be a daunting task. That’s where Notional.ai Data as a Service comes in. We provide various data APIs that enable businesses and individuals to access valuable data quickly and efficiently.
notional.ai – Data as a Service
WHAT WE OFFER
At notional.ai, we provide data APIs that offer time series data about weather, financial and economic signals from around the world. This includes stock prices, crypto prices, indices, and ETFs. We also provide weather signals in the US at multiple geographic levels such as ZIP code, county, CBSA, and state, as well as representative weather series for every country. Our data sets are transformed into stationary format, which means they are ready to be used in machine learning models.
In addition to time series data, we also provide cross-sectional data on various entities such as cities, states, counties, CBSAs, countries, and ZIP codes. Our city data contains information about the cities in the US, including name, coordinates, population, and the corresponding states. Our state data contains information about the US states and territories, including name, postal code, FIPS code, coordinates, population, land area, and total area of each state. Our county data contains information about the counties in the US, including name, US Census geo_id, FIPS code, state name, coordinates, population, land area, and total area of each county. Our CBSA data contains information about the core-based statistical areas (CBSA) in the US, including name, FIPS code, coordinates, population, land area, and total area of each CBSA. Our country data contains information about all the countries in the world, including country code, name, and location of each country. Finally, our ZIP code data contains information about the ZIP codes in the US, including ZIP code, ZIP code tabulation area (ZCTA), state name, coordinates, population, land area, and total area of each ZIP code. We also offer state-CBSA relationship data, which contains the mapping between states and CBSAs in the US.
In addition to time series data, we also provide cross-sectional data on various entities such as cities, states, counties, CBSAs, countries, and ZIP codes. Our city data contains information about the cities in the US, including name, coordinates, population, and the corresponding states. Our state data contains information about the US states and territories, including name, postal code, FIPS code, coordinates, population, land area, and total area of each state. Our county data contains information about the counties in the US, including name, US Census geo_id, FIPS code, state name, coordinates, population, land area, and total area of each county. Our CBSA data contains information about the core-based statistical areas (CBSA) in the US, including name, FIPS code, coordinates, population, land area, and total area of each CBSA. Our country data contains information about all the countries in the world, including country code, name, and location of each country. Finally, our ZIP code data contains information about the ZIP codes in the US, including ZIP code, ZIP code tabulation area (ZCTA), state name, coordinates, population, land area, and total area of each ZIP code. We also offer state-CBSA relationship data, which contains the mapping between states and CBSAs in the US.
WHY IT’S USEFUL
Our datasets offer several benefits. First, they are ready to be used in AI models, which can help improve the accuracy and effectiveness of these models. This can lead to better decision-making, improved operational efficiency, and increased revenue for businesses. By providing accurate and reliable data, we enable businesses to make informed decisions and take action with confidence.Our datasets are also useful for analytic purposes. For example, our weather data can be used by insurance companies to predict weather-related claims, while our financial data can be used by investors to make informed decisions about their portfolios. Our cross-sectional data can be used to gain insights into different entities at a granular level, enabling businesses to make better decisions based on specific geographic regions or entities.
CONCLUSION
Notional.ai Data as a Service provides businesses and individuals with a valuable resource to access accurate and reliable data quickly and efficiently. Our datasets are transformed into stationary format, making them ready to be used in machine learning models. Whether you’re an investor looking to make informed decisions or a business looking to improve operational efficiency, our datasets is one of your best choice.
