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психо portrait

  • improving the conversion in telemarketing and sales
  • enhance scoring models
  • enhance targeted advertising
  • accelerate debt repayment
To solve business challenges

technology

digital footprints

  • Social activity
  • Emotional triggers
  • Geolocation marks
  • Telematics data
  • Business activity
  • Credit score

data-driven

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psychometric profile

  • Personality character
  • personality traits
  • Motives and incentives
  • Decision-making patterns
  • Payment discipline
  • Match job profile
  • Consumer psychographics

metrics matrix

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modeling

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    model 1

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    model 2

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    model 3

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    model 4

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    model 5

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Elizabeth Uoni

37 ageKarkoza city

purposefulness97%

selflessness65%

conscientiousness80%

communicativeness50%

demonstrativeness58%

uneasiness20%

creativeness41%

The personality with a powerful inner core. Lives mainly with his inner idea, belief, fighting for it, ready to defend its position. Terse. Not particularly receptive to information from outside. Pretty irritable for the opinions of outside, trusts to only its opinion. Own life is built on the principles.

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competence
profile

perseverance
collectivity
ambition
escapism
adaptability
intrapersonal conflict
empathy
decisiveness
leadership
diligence
initiativeness
emotional stability
pseudologia

psycho typing
model

consumer

Type "The Individual". Emotional impact points: pride, achievements, result. Focus demonstrative: status, selfaffirmation. Motives: immensity, quick solve tasks, get results.

Подробнее

loaner

Type "The Particular". Fear traits: fear of lack of opportunities, loss of and implementation of promising plans, the failure of self-actualization. Reaction on negative: normal. Stress level: low. Reaction on aggression: discussion. Debt perceptions: opportunities to get achieving goals.

Подробнее

hr

Type "The General". Behavior type: authoritative, uncompromising. Task solution: strategic approach. Strategy: carte blanche to act, using various resources. Leadership: hierarchical business lider.

Подробнее

personality traits

conscientiousness

extraversion

neuroticism

openness

careless
solitary
neutral
closed
organized
outgoing
sensitive
opened
happiness25%
surprise7%
sadness37%
contempt4%
disgust2%
anger3%
fear15%
neutral9%

usage

  • sales and marketing
  • human resource management
  • risks
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    client-side prediction

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    contact enrichment

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    optimizatyion advertising

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    script sales

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    customer lifecycle prediction

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    psychometric targeting

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    psychographic prediction

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    product line optimization

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    emotion perception of product

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    RFM analysis

research

254

social and psycho questions have been interviewing

300 000

respondents were tested

2 500

offline interviews psychologists experts

10 sec

the average speed of the estimate

research work

S. Freud, Myers–Briggs, R. Cattell, M. Burno

83%

accuracy

10 000

profiles have been analyzed by experts manually

1 400

days spent for implementation

10 000

lines of source code

API/integration

In this guide you can find base information about main principles of API Mindscore to be ready to use it.

API Mindscore is interface for getting information from Mindscore database with http-requests to server. You don't need know all details (how the system work, database configuration etc.), your API-request already know all about it. Query syntax and type of return data is expressly defined with server side.

At this moment we have API version 1.0.

To get the key for dataset - token (access_token), you need execute POST-request

client_id - client ID

password - client password

and send it to https:

https://mindscore.ru/api/autorize

Example query on PHP language is:

$data = array(
 'passwd' => '@MyPasswd',
 'client_id' => 'APPID-1',
);

$query = http_build_query($data, '', '&');

$curl = curl_init();

curl_setopt($curl, CURLOPT_URL, ‘https://mindscore2.ru/api/authorize’);

curl_setopt($curl, CURLOPT_RETURNTRANSFER, true);

curl_setopt($curl, CURLOPT_POST, true);

curl_setopt($curl, CURLOPT_POSTFIELDS, $query);

curl_setopt($curl, CURLOPT_CONNECTTIMEOUT, 2);

curl_exec($curl);

curl_close($curl);

In success case, server returns JSON-object with token, including:

type - is client tariff

data - is list of available objects of dataset

token_access - is access key to methods (example GiQYY822Eh86D4sbYGSNQGSkZDD4bbAH)

In unsuccess case, server returns JSON-object, including:

error_msg - is concise description of error

error_code - is code of error

Using token, you can send requests to methods without re-authorization for 24 hours. If the validity period of a token has expired, necessary re-authorization.

Methods and objects of dataset

At the moment, there are available methods:

profile.identify - is personality verification

profile.personalize - is psychometric estimation of personality

URL to the method

https://mindscore.ru/api/method/

profile.identify

Personality verification with Mindscore algorithms, including input:

uid - is unique object ID

images - is image link (an array for multiple photos)

case - accepts one of two values: search, match

access_token - is the token

In success case, server returns JSON-object with uid and possible attributes: (1) true/false, (2) accuracy. In unsuccess case, server returns JSON-object with error.

profile.personalize

Psychometric personality score with Mindscore algorithms, including input:

uid - is unique object ID

callback_url - is URL to which the server will return the query result

access_token - is the token

In success case, server returns JSON-object with uid and possible attributes:

uid - is unique object ID

patterns - are key characteristics of personality

traits - are key traits of personality

capacity - are key psychological competences of personality

models - are models of psychotyping

In unsuccess case, server returns JSON-object with error.

about us

conditions testing

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manual
examination

  • till 10 profiles of the social networks in any format
  • output format: pdf- png- jpg- files
  • content: base info
  • result: in one day
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statistical
examination

  • from 10 000 social network profiles in csv format
  • output format: csv-file
  • content: base info + info for the clients's business tasks
  • Result: 48+ hours

business offer

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As
Service

  • client: small and medium business
  • integration: API or file requests
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As
Technology

  • client: major business
  • integration: SDK, docs, technology

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meet the team

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Sergey Skiba

CEO & Founder.

Sergey combines machine learning techniques and psychological science in a single automated product. It carries out the generation business solutions to the key case studies of companies. His task is the development and scaling of Personality mining technology in all areas of business.

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Maria Veikhman

Co-founder.

Maria manages the business, is engaged in qualitative change and promotion of the company in the market. The main strategic task is fast growth company.

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Valeriy Loyko

Mentor in machine learning methods.

Valeriy implemetns mentor support for our research and development group. He is author famouse artificial intelligence system “Eidos, D.C.Sc.

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Irina Metelica

Head of psychoanalysts.

Irina develops the methodology of social profiling and psychometric estimation of personality. She consolidates knowlodge of scientifically known and widely recognised apptoaches to psychological estimation of personality with the estimation user social network profile. Being an expert with 20 years of expirience, Irina combines a working group 2 psychologists and a psychiatrist-Profiler.

cases