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Digital twin is a synthetic data generator that represents real-time objects such as individuals and Entities. It is composed of interlinked datasets with common individuals and entities found throughout and their ESG Data. It will provide access for users to generate SME / ESG / Reference synthetic data. This can be achieved by the different endpoints it provides with the customizable number of records option. User can build and test financial services products and machine learning models to derive actionable insights from our 10m+ data points.
SMEs are defined as enterprises with less than 250 persons engaged. There are often referred to as the backbone of the economy, providing a potential source for jobs and economic growth. User will have the access to those Small and Medium Enterprises financial synthetic data.
token required | string Value: "<authentication_token>" token |
records | integer <int32> Default: 1000 |
{- "records": 1000
}
{- "data": {
- "ent": [
- [
- "62",
- "Greenwich",
- "9 Pickering streets Ameliaside SE10 8NJ",
- "03972-60-87-97",
- "77-82 : Business administration & support services",
- "Nash, Ward, Griffin, Warner, Daniels, Hart, Arnold",
- "1.1 - Public Company (incl. Building Society)",
- "Nash, Ward, Griffin, Warner, Bishop, Townsend, Hussain, Mann, Smart, Green Inc",
- "20000062",
- "0-632k",
- "5-9 People",
- "2",
- "Fri, 27 Jul 2007 00:00:00 GMT",
- true,
- "Sat, 26 Oct 2019 00:00:00 GMT",
- "[[87, 100], [971, 0]]",
- "[[87, 100]]",
- "N/A",
- "N/A",
- "United Kingdom",
- "United Kingdom",
- false,
- "0",
- "9.197659474798307",
- "9.406875639600232",
- "E09000011",
- "Greenwich",
- "0.415873094679271",
- "0",
- null,
- "77-82",
- "N",
- "Business administration & support services",
- "Office"
]
], - "indv": [
- [
- "87",
- "Aaron Richards",
- "male",
- "Thu, 18 Mar 1971 00:00:00 GMT",
- "aaron-richards@9d22c.young-robertson.com",
- "+44118 496 0795",
- "Yorkshire and The Humber",
- "2 Melanie port",
- "North Daniellefort",
- "Scarborough",
- "YO11 2NH",
- "White",
- "United Kingdom",
- "Single",
- "one",
- "Private rented",
- "No qualifications",
- "Employee: Full-time",
- "K. Financial & insurance activities",
- "2. Professional occupations",
- false,
- false,
- "87",
- "50",
- "1.0",
- "0.0",
- "1993.0",
- "2816.862144039604",
- "One person household",
- false,
- "0.0",
- "a367f8f9-3771-4343-b50b-1eec298d7074",
- "1.0",
- "Under 65",
- "0.0",
- "1 bedroom",
- "0.0",
- "0.0",
- "0.0",
- "yorkshire and the humber"
]
]
}, - "request_status": "Success"
}
This data represents the UK population as It consists of general information about the individuals and entities in UK. These vital statistics can be useful to train and test multiple machine learning models.
Entities and Individual Reference data.
token required | string Value: "<authentication_token>" token |
records | integer <int32> Default: 1000 |
{- "records": 1000
}
{- "data": {
- "ent": [
- [
- "62",
- "Greenwich",
- "9 Pickering streets Ameliaside SE10 8NJ",
- "03972-60-87-97",
- "77-82 : Business administration & support services",
- "Nash, Ward, Griffin, Warner, Daniels, Hart, Arnold",
- "1.1 - Public Company (incl. Building Society)",
- "Nash, Ward, Griffin, Warner, Bishop, Townsend, Hussain, Mann, Smart, Green Inc",
- "20000062",
- "0-632k",
- "5-9 People",
- "2",
- "Fri, 27 Jul 2007 00:00:00 GMT",
- true,
- "Sat, 26 Oct 2019 00:00:00 GMT",
- "[[87, 100], [971, 0]]",
- "[[87, 100]]",
- "N/A",
- "N/A",
- "United Kingdom",
- "United Kingdom",
- false,
- "0",
- "9.197659474798307",
- "9.406875639600232",
- "E09000011",
- "Greenwich",
- "0.415873094679271",
- "0",
- null,
- "77-82",
- "N",
- "Business administration & support services",
- "Office"
]
], - "indv": [
- [
- "87",
- "Aaron Richards",
- "male",
- "Thu, 18 Mar 1971 00:00:00 GMT",
- "aaron-richards@9d22c.young-robertson.com",
- "+44118 496 0795",
- "Yorkshire and The Humber",
- "2 Melanie port",
- "North Daniellefort",
- "Scarborough",
- "YO11 2NH",
- "White",
- "United Kingdom",
- "Single",
- "one",
- "Private rented",
- "No qualifications",
- "Employee: Full-time",
- "K. Financial & insurance activities",
- "2. Professional occupations",
- false,
- false,
- "87",
- "50",
- "1.0",
- "0.0",
- "1993.0",
- "2816.862144039604",
- "One person household",
- false,
- "0.0",
- "a367f8f9-3771-4343-b50b-1eec298d7074",
- "1.0",
- "Under 65",
- "0.0",
- "1 bedroom",
- "0.0",
- "0.0",
- "0.0",
- "yorkshire and the humber"
]
]
}, - "request_status": "Success"
}
ESG stands for Environmental, Social, and Governance. It is an evaluation of a firm's collective conscientiousness for social and environmental factors. It is typically a score that is compiled from data collected surrounding specific metrics related to intangible assets within the enterprise.
token required | string Value: "<authentication_token>" token |
records | integer <int32> Default: 1000 |
{- "records": 1000
}
{- "data": {
- "ent": [
- [
- "62",
- "Greenwich",
- "9 Pickering streets Ameliaside SE10 8NJ",
- "03972-60-87-97",
- "77-82 : Business administration & support services",
- "Nash, Ward, Griffin, Warner, Daniels, Hart, Arnold",
- "1.1 - Public Company (incl. Building Society)",
- "Nash, Ward, Griffin, Warner, Bishop, Townsend, Hussain, Mann, Smart, Green Inc",
- "20000062",
- "0-632k",
- "5-9 People",
- "2",
- "Fri, 27 Jul 2007 00:00:00 GMT",
- true,
- "Sat, 26 Oct 2019 00:00:00 GMT",
- "[[87, 100], [971, 0]]",
- "[[87, 100]]",
- "N/A",
- "N/A",
- "United Kingdom",
- "United Kingdom",
- false,
- "0",
- "9.197659474798307",
- "9.406875639600232",
- "E09000011",
- "Greenwich",
- "0.415873094679271",
- "0",
- null,
- "77-82",
- "N",
- "Business administration & support services",
- "Office"
]
], - "indv": [
- [
- "87",
- "Aaron Richards",
- "male",
- "Thu, 18 Mar 1971 00:00:00 GMT",
- "aaron-richards@9d22c.young-robertson.com",
- "+44118 496 0795",
- "Yorkshire and The Humber",
- "2 Melanie port",
- "North Daniellefort",
- "Scarborough",
- "YO11 2NH",
- "White",
- "United Kingdom",
- "Single",
- "one",
- "Private rented",
- "No qualifications",
- "Employee: Full-time",
- "K. Financial & insurance activities",
- "2. Professional occupations",
- false,
- false,
- "87",
- "50",
- "1.0",
- "0.0",
- "1993.0",
- "2816.862144039604",
- "One person household",
- false,
- "0.0",
- "a367f8f9-3771-4343-b50b-1eec298d7074",
- "1.0",
- "Under 65",
- "0.0",
- "1 bedroom",
- "0.0",
- "0.0",
- "0.0",
- "yorkshire and the humber"
]
]
}, - "request_status": "Success"
}