API

IntroWelcome to Sentino API!

Welcome to Sentino API

A psychological personality API is a type of application programming interface (API) that allows developers to integrate personality assessments into their applications. This type of API is based on psychological theories of personality. Personality is a complex and multifaceted concept, and there are many different theories and approaches to understanding it. A psychological personality API allows developers to incorporate these theories and assessments into their applications, providing users with a way to assess and understand their own personality traits or those of others. This can be useful for a variety of purposes, including self-improvement, career development, and relationship building. Sentino Personality API is a data-driven, AI-powered service built to provide insights into human personality.

We have integrated vast psychological data and built a natural language interface for it. We have trained our models using the state-of-art NLP stack (e.g. Spacy, Transformers). This representation links the text to 20+ widely known validated inventories (Big 5, NEO-PI, RIASEC, ORVIS, ORAIS, DISC, etc.; the list can be further supplemented). We continuously keep researching and updating the models, striving for high accuracy.

That is why Sentino API is capable of analyzing various data sources (calls, messages, customer feedback, CVs, chat histories, surveys, forum and blog posts, and many more). Audio and video records (e.g. interviews) can also be scored following their processing with a text transcriber.

Sentino API was initially developed as a general psychological processor. This fact makes its adaptation to different application fields, industries, and verticals a rather straight-forward task.

One of the key advantages of the Sentino Personality API is its ability to process large amounts of text quickly and accurately. This means that developers can easily incorporate personality analysis capabilities into their apps without worrying about performance issues or slow processing times.

If you have any data and want to explore it from a psychological perspective, Sentino API will serve you well!

Too long to read?
Request API token and explore most common use cases!

Request API token and go directly to Use Cases to explore the most common scenarios.

All end-points of Sentino API are explained in details. You can view code examples in the dedicated dark areas.

General Info

The key idea of Sentino API is to transform any type of information into psychologically meaningful representation and link it to validated personality inventories mentioned above.
When using it you will be able to:

  1. Transform and score text about a person (e.g. a self-description) into chosen personality inventories.
  2. Transform and score items about a person into chosen personality inventories.
  3. Score interview of a person (in the form of an an audio/video record) according to chosen personality inventories.
  4. Score LinkedIn profile of a person according to chosen personality inventories.
  5. Create a psychological profile of a person and continuously update it, by adding new information.

Sentino Personality API – Operation Levels

There are three main levels Sentino API operates on: iteminventory and person:

  • item is simply a statement about one’s self that usually starts with a personal pronoun “I/My” (e.g. “I am an introvert” or “My name is Robert.”). See Item endpoints for more details or try Self-statement analysis – a visual tool to explore item-related functionality.
  • inventory is a set of items to measure particular traits of a person (e.g. Big-5, NEO-PI etc.). Sentino API supports a plenty of different inventories. See Inventories endpoints for more details.
  • person is treated as a composition of different items. Items can be extracted from questionnaires a person fills in, a person’s self-description or in other way. Please see Scoring and Person for more details.

Start exploring the API from requesting API token and trying out most common Use Cases.

Authentication

If you haven’t got your token yet, please request it.

Sentino API uses tokens to give access to the API. You can request the token by contacting us via e-mail: info@sentino.org or through the Contact page of this website. It is free for non-commercial use and low traffic.

Sentino API expects the token to be included in all API requests to the server in a header that looks like the following:

Authorization: Token sentino_api_token.

To authorize, use this code:

Input JSON:

# With shell, you can just pass the correct header with each request
curl "api_endpoint_here"
  -H "Authorization: Token sentino_api_token"

Make sure to replace sentino_api_token with your API key.

Please note that you should replace “sentino_api_token” with your personal API key!

Supported Languages

Currently, two languages are supported: English and Portuguese. If you need another language, please Contact Us.

langLanguageInfo
enEnglish(default)
ptPortuguese

If you use other language than English, you should provide ‘lang’ parameter to most of endpoints.

Example: SentinoBot

Sentino API provides a great flexibility to fit many domains where insights on personality are important.

One of the easiest ways to explore the API is to chat with SentinoBot. Sentino Bot is an AI-powered chatting bot built to leverage a lot of API’s functionality. One can see Sentino API in action by chatting with the bot on the website sentino.org/bot or via Facebook Messenger facebook.com/sentinobot.

Use Cases

One of the most common cases where Sentino API shines is getting Big 5 or NEO traits (or any others) from a text written by a person. Please note that the text should contain psychologically meaningful information. Otherwise, the statistical confidence level will be rather low. This is why it is important to understand where the text comes from.

Further, we will discuss two scenarios that are the most common. Both scenarios imply that you don’t want to keep a personal profile in the database. If you do want to continuously work with a person’s profile by updating it, check out the next use case: manage profile.

Big 5 traits from a text

Suppose, you have a self-description of a person, kindly provided by that person or maybe you have written some passages about yourself of other person. You want to analyze the text to understand what Big 5 traits it reveals about the person.

This can be easily done using the Score Text endpoint.

NEO traits from a questionnaire

Suppose, you asked a person well-posed questions and gathered the responses. In this case, you should use another endpoint: Score Items, that will bring you much higher confidence in the final scoring. However, you should keep in mind that ideally you should use a questionnaire specially designed to measure the inventory of interest.

Questionnaire for Big 5 and Neo

Usually, you can ask a person only a limited amount of questions and want to score concrete psychological traits.

  • What questions should you ask?
  • What are the best questions that provide you with the maximum information?

To solve this problem, you need to perform the following steps:

  1. Pick the inventory you are interested in. For example, NEO.
  2. Create a questionnaire by choosing a number of questions you intend to ask a person.
  3. Collect the data from a person, simply by asking a person these questions.
  4. Build a psychological profile. Use Score Items.

Managing Profiles

This is a scenario in which you want to keep a psychological profile of a person up to date. You can easily keep adding new information (items) and get the profile updated.

These are the actions to be performed:

  • Create a person. You will simply get an ID to operate with
  • Add “items” about a person (like self-description or item-response pairs)
  • Get person’s profile based on Big5, NEO, or other inventories (depending on your needs)
  • Add more items in the similar way
  • Get the profile automatically updated
  • Delete a profile if you do not plan to use it anymore

The ability to update a profile based on new items makes adding new information absolutely price-efficient. Within the commercial plan, you only pay for the newly added text.

When you delete a person, no personal information is kept any longer (for commercial plan).

Scoring

Endpoints presented here are aimed to transform textual information about a person into psychologically meaningful representation. For example, if you have a description of a person or answers to psychologically meaningful questions, you can understand what traits (Big 5 and others) a person possesses.

Metrics

Each scoring consists of the metrics discussed below.

MetricRangeExplanation
score[-1,+1]response score for a given inventory. It is directly proportional to the probability of person answering “yes”/”no”
quantile[ 0,+1]reflects belonging to some percent of the whole population
confidence[ 0,+1]degree of certainty in the result (is proportional to the number of items provided)
confidence_textfive-level confidence: “very low”, “low”, “normal”, “high”, “very high” (directly proportional to confidence)

If you need to track one person over a long time period, it is more reliable to use score. Keep an eye on the confidence. If it is “very low”, normally it means that results should be taken with a grain of salt.

1. Score Text

Using this endpoint, you can easily extract psychologically meaningful information from a self-description of a person given in a natural language.

Technically, the text is split into sentences. Each sentence is then labeled with a corresponding topic (see the section Item Classification) and inventory (like Big5, NEO, etc., see the section Item inventories).

In order to get a deeper understanding of this endpoint, you can try Self-Description Analysis – a visual tool that gives a glimpse on it.

ParameterDescription
inventoriesinventories to be used for scoring
texttext intended for scoring
langpreferable language

HTTP Request POST https://api.sentino.org/api/score/text

Input JSON:

curl -X POST "https://api.sentino.org/api/score/text"
-H "Authorization: Token sentino_api_token"
-H "Content-Type: application/json"
-d '{
  "inventories": ["big5"],
  "text": "I am very calm and steady. I generally keep my cool in challenging situations.",
  "lang": "en"
}'








The command returns JSON structured like this:

{
    "text": "I am very calm and steady. I generally keep my cool in challenging situations.",
    "inventories": [
        "big5"
    ],
    "scoring": {
        "big5": {
           "neuroticism": {
                "quantile": 0.254,
                "score": -1.0,
                "confidence": 0.310,
                "confidence_text": "normal"
            },...
    },
    "lang": "en"
}

The text data is accurately scored with the help of our AI-powered tool. You receive the applicant’s personality profile based on the BIG-5, RIASEC, NEO, BFAS or other suitable validated and globally recognized psychological scales. This profile is issued in a clearly arranged form comprising numerical score, and brief but insightful text description. Currently, we are working hard on visualization of the results obtained in a user-friendly infographic form and provision of recommendations based on scoring performed.

The data provided by our tool forms a reliable basis for making unbiased personality-related decisions.

2. Score Answer

This endpoint is used to extract psychologically relevant information from a person’s response to one individual question.

From a technical standpoint, the processing of such an answer is similar to text processing. The following parameters are used here:

ParameterDescription
questionthe question you want to be answered
answerthe answer of a person to the question described above, which is used for scoring
langpreferable language

HTTP Request POST https://api.sentino.org/api/score/answer

Input JSON:

curl -X POST "https://api.sentino.org/api/score/text"
-H "Authorization: Token sentino_api_token"
-H "Content-Type: application/json"
-d '{
  "inventories": ["big5"],
  "question": "Tell me a little bit about yourself.",
  "answer": "Ok, what can I say. I am open-minded. I really enjoy testing new ideas.",
  "lang": "en"
}'








The command returns JSON structured like this:

{
    "inventories": [
        "big5"
    ],
    "scoring": {
        "big5": {
            "openness": {
                "quantile": 0.723,
                "score": 1.0,
                "confidence": 0.304,
                "confidence_text": "normal"
            },...
    },
    "lang": "en",
    "answer": "Ok, what can I say. I am open-minded. I really enjoy testing new ideas.",
    "question": "Tell me a little bit about yourself."
}

3. Score Interview

This endpoint allows getting personality insights from an interview text.

Based on prior consent, make an audio or video record of the interview with a person of interest and file this record to us. We will automate a repetitive and tedious analysis task for you. You can provide the interview for analysis either in the text form (*.txt, *.doc, *.docx) or as an original audio/video record.

The following input parameters are used for this endpoint:

ParameterDescription
inventoriesinventories to be used for scoring
textinterview text intended for scoring, including questions and answers (please mind the supported layouts described below)
langpreferable language

HTTP Request POST https://api.sentino.org/api/score/interview

Input JSON:

curl -X POST "https://api.sentino.org/api/score/interview"
-H "Authorization: Token sentino_api_token"
-H "Content-Type: application/json"
-d '{
  "inventories": ["big5"],
  "text": "A: Are you outgoing?\nB: Not really. I prefer to spend time alone.",
  "lang": "en"
}'







The command returns JSON structured like this:

{
    "text": "A: Are you outgoing?\nB: Not really. I prefer to spend time alone.",
    "inventories": [
        "big5"
    ],
    "scoring": {
        "big5": {
            "extraversion": {
                "quantile": 0.318,
                "score": -1.0,
                "confidence": 0.318,
                "confidence_text": "normal"
                }, ...
    },
    "lang": "en"
}

Please note that there are two interview text layouts currently supported by Sentino Personality AI by the default:

Layout 1.

A: How is life?
B: Life is good.
A: Really?
B: Yes.

Layout 2.

A
How is life?

B
Life is good.

A
Really?

B
Yes.

Processing options for other interview text layouts can be proposed by the request. So, if you use other standard layout, please let us know.

If we receive the interview in the form of an audio or video record, we initially use AI speech recognition tools to convert audio and video content into transcripts during the pre-processing phase and then employ the resulting text for mining.

4. Score Inventory

This endpoint facilitates the automated processing of results obtained from respondents when they complete standardized personality questionnaires. By providing the API with the complete list of questions from a specific questionnaire and the person’s responses in either the ‘question-answer’ or ‘item-response’ format, you can receive a comprehensive quantification of the results, along with the statistical confidence level associated with each result.

The following parameters are used here:

ParameterDescription
inventoriesinventories to be used for scoring
itemsthe list of items for scoring
langpreferable language

Currently, two item types are supported here:

Item typeDescription
question-answerA question-answer pair is the simplest structural unit of everyday human communication in any context and a valuable source of personality-related information (e.g. “question”: “Are you orderly?”, “answer”: “Let me think. Nope.”).
Note: This item type is sometimes called “text-context” by technical personnel.
item-responseAn item-response is a typical element of various personality assessments, where item is any statement, and response is a degree of agreement or disagreement with this statement from “strongly agree” through “neutral” to “strongly disagree” (e.g. “item”: “I rebel against authorities”, “response”: “agree”).

Here is an example of the relevant API query:

HTTP Request POST https://api.sentino.org/api/score/inventory

Input JSON:

curl -X POST "https://api.sentino.org/api/score/items"
-H "Authorization: Token sentino_api_token"
-H "Content-Type: application/json"
-d '{
  "inventories": ["big5"],
  "items": [
{"item": "I am emotionally stable, not easily upset.", "response": "strongly agree"},
{"item": "I can be moody.", "response": "neutral"},
{"item": "I get nervous easily.", "response": "disagree"},
{"item": "I worry a lot.", "response": "disagree"},
{"item": "I am relaxed, handle stress well.", "response": "agree"},
{"item": "I tend to find fault with others.", "response": "disagree"},
{"item": "I am helpful and unselfish with others.", "response": "agree"},
{"item": "I am considerate and kind to almost everyone.", "response": "neutral"},
{"item": "I start quarrels with others.", "response": "disagree"},
{"item": "I have a forgiving nature.", "response": "agree"}
  ],
  "lang": "en"
}'
















The command returns JSON structured like this:

{
    "items": [
        "{'item': 'I am emotionally stable, not easily upset.', 'response': 'strongly agree'}",
        "{'item': 'I can be moody.', 'response': 'neutral'}",
        "{'item': 'I get nervous easily.', 'response': 'disagree'}",
        "{'item': 'I worry a lot.', 'response': 'disagree'}",
        "{'item': 'I am relaxed, handle stress well.', 'response': 'agree'}",
        "{'item': 'I tend to find fault with others.', 'response': 'disagree'}",
        "{'item': 'I am helpful and unselfish with others.', 'response': 'agree'}",
        "{'item': 'I am considerate and kind to almost everyone.', 'response': 'neutral'}",
        "{'item': 'I start quarrels with others.', 'response': 'disagree'}",
        "{'item': 'I have a forgiving nature.', 'response': 'agree'}"
    ],
    "inventories": [
        "big5"
    ],
    "scoring": {
        "big5": {
            "agreeableness": {
                "quantile": 0.703,
                "score": 0.667,
                "confidence": 0.313,
                "confidence_text": "normal"
            },
            "neuroticism": {
                "quantile": 0.232,
                "score": -0.725,
                "confidence": 0.568,
                "confidence_text": "high"
            }...
     },
    "lang": "en"
}

5. Score Items (Score Facts in v3 and earlier versions)

This endpoint holds the highest level of versatility as items serve as the fundamental building blocks, from which other intricate elements for analysis (such as larger texts, interviews, and social media profiles) are constructed. If versatility is what you seek, then this endpoint is precisely what you need.

Items

Item is a piece of information about a person. There are three types of items currently supported:

Item typeDescription
textThis is a short description of a person. It should preferably come from “Please describe yourself in a couple of sentences” question or a simple self-statement e.g. “I am an extravert.”
question-answerA question-answer pair is the simplest structural unit of everyday human communication in any context and a valuable source of personality-related information (e.g. “question”: “Are you orderly?”, “answer”: “Let me think. Nope.”).
Note: This item type is sometimes called “text-context” by technical personnel.
item-responseAn item-response is a typical element of various personality assessments, where item is any statement, and response is a degree of agreement or disagreement with this statement (e.g. “item”: “I rebel against authorities”, “response”: “agree”).
Note: Please see the available “Responses” in the table below.

Responses

There are many ways to response to a psychological item. However, most personality questionnaires use a 7-point scale from “strongly agree” through “neutral” to “strongly disagree”. That is why internally all responses are translated into these distinct seven groups. The table shows typical synonyms to the core responses.

ResponseScoreMeaning
strongly agree+3completely agree, exactly, absolutely, etc.
agree+2yes, sure, agreed, indeed, etc.
slightly agree+1guess so, maybe, I suppose so, etc.
neutral0neither, whatever, I don’t know, etc.
slightly disagree-1not really, not sure, etc.
disagree-2no, I disagree, I don’t think so, etc.
strongly disagree-3no way, totally disagree, absolutely not, etc.

Item Scoring

If you have previously collected well-structured items as described above, feed the API with your items and get the psychological portrait of a person.

ParameterDescription
inventoriesinventories to be used for scoring
itemslist of items for scoring
langpreferable language

Please see an example of how to use this endpoint below.

HTTP Request POST https://api.sentino.org/api/score/items

Input JSON:

curl -X POST "https://api.sentino.org/api/score/items"
-H "Authorization: Token sentino_api_token"
-H "Content-Type: application/json"
-d '{
  "inventories": ["big5"],
  "items": [
    {
      "text": "My name is John. I am 30 years old. I am an extravert."
    },
    {
      "interview": "A: Are you outgoing?\nB: Yes, sure."
    },
    {
      "question": "Tell me a little bit about yourself.",
      "answer": "Well, I am optimistic and outgoing."
    },
    {
      "item": "I do not like to chat.",
      "response": "disagree"
    }
  ],
  "lang": "en"
}'









The command returns JSON structured like this:

{
"items": [
        {
            "text": "My name is John. I am 30 years old. I am an extravert."
        },
        {
            "interview": "A: Are you outgoing?\nB: Yes, sure."
        },
        {
            "question": "Tell me a little bit about yourself.",
            "answer": "Well, I am optimistic and outgoing."
        },
        {
            "item": "I do not like to chat.",
            "response": "disagree"
        }
    ],
"inventories": [
        "big5"
    ],
    "scoring": {
        "big5": {
            "extraversion": {
                "quantile": 0.790,
                "score": 1.0,
                "confidence": 0.372,
                "confidence_text": "normal"
            },...
    },
    "lang": "en"
}

Soon to come: Time Stamp

A time stamp can be indicated for each individual item. This time stamp is required to account for time persistency of an item. For example, “I am in a bad mood now” is usually constrained in time, unlike “I am usually in a bad mood”. If a time stamp is not provided, it is set to the current time by the default.

Person

In this section you can find all the available endpoints for managing psychological profiles of individuals. The advantage of using these endpoints is the ability to continuously add new information about a person and retrieve their automatically updated profile.

Please note that, prior to use of these endpoints, you need to define what inventories you want to use and get updated for each person.

All the known items about a person are stored in the database. Once any new information about this person arrives, the corresponding profile is updated. The newly updated profile can be easily read out by querying profile.

Set up a profile

In order to use person-related endpoints, you need to set up the inventories of interest. Once you run the below-mentioned query, you can start “adding people” and the results for the pre-selected inventories will get automatically updated.

HTTP Request POST https://api.sentino.org/api/client/profile

Input JSON:

curl -X POST "https://api.sentino.org/api/client/profile"
-H "Authorization: Token sentino_api_token"
-H "Content-Type: application/json"
-d '{
  "inventories": ["big5", "neo"]
}'

The command returns JSON structured like this:

{
    "name": "default",
    "inventories": [
        "big5",
        "neo"
    ],
    "message": "inventories successfully added/updated"
}

Create a person

Please use the query described below to create a person. The query returns the ID of this person. All other person-related endpoints depend on this ID.

At this point no charges (even for commercial users) are applied.

HTTP Request POST https://api.sentino.org/api/person/create

Input JSON:

curl -X POST "https://api.sentino.org/api/person/create"
-H "Authorization: Token sentino_api_token"
-H "Content-Type: application/json"

The command returns JSON structured like this:

{
  "id": "dfefFdfewdfXDDf"
}

Add items

In order to add items, please execute the query described below.

Please use the ID of the previously created “person” to refer to the relevant individual. Then, provide as many items as you want.

Once the items are provided, the scoring will take place in accordance with a chosen inventory or chosen inventories. The charges (for commercial users) are applied at this particular phase. The price depends on the length of the “text” field and number of facets (traits) of the inventories you added before.

Whenever required, you can add new “items”. Subsequently, only the newly-added information is charged.

You need the following parameters to execute this query:

ParameterDescription
itemsitems to be added
langpreferable language

Currently, there are three types of supported items:

Item
type
Required fieldsDescription
texttextThis is a short description of a person. It should preferably come from “Please describe yourself in a couple of sentences” question or a simple self-statement e.g. “I am an extravert.”
question-answerquestion, answerA question-answer pair is the simplest structural unit of everyday human communication in any context and a valuable source of personality-related information (e.g. “question”: “Are you orderly?”, “answer”: “Let me think. Nope.”).
item-responseitem, responseAn item-response is a typical element of various personality assessments, where item is any statement, and response is a degree of agreement or disagreement with this statement (e.g. “item”: “I rebel against authorities”, “response”: “agree”).
linkedinurlThis is a link to the LinkedIn profile of an individual.

HTTP Request POST https://api.sentino.org/api/person/<id>/item

Input JSON:

curl -X POST "https://api.sentino.org/api/person/<id>/itm"
-H "Authorization: Token sentino_api_token"
-H "Content-Type: application/json"
-d '{
  "items": [
    {
      "text": "My name is John. I am an extravert.",
      "lang": "en"
    },
    {
      "text": "I do not like to chat.",
      "response": "disagree",
      "lang": "en"
    },
    {
      "url": "https://www.linkedin.com/in/deniss-stepanovs-2248111a/"
    }
  ]
}'

The command returns JSON structured like this:

{
  "id": "<id>",
  "message": "success"
}

















Person profile

This endpoint allows building a personal profile from individual items.

To get a person profile (as per Big5, NEO, RIASEC, etc.) simply use the following query.

Please note:

  • The correspondent inventories should be set up in advance
  • If no relevant items are provided you still get a default scoring (that depends on inventory)
  • No charges are applied at this point, since all the scoring was actually performed during the “item adding” phase

HTTP Request GET https://api.sentino.org/api/person/<id>/profile

Input command:

curl -X GET "https://api.sentino.org/person/<id>/profile"
-H "Authorization: Token sentino_api_token"
-H "Content-Type: application/json"











The command returns JSON structured like this:

{
  "big5": {
        "conscientiousness": {
          ...
        },
        "openness": {
            "score": 0.0,
            "quantile": 0.5,
            "confidence": 0.1,
            "confidence_text": "low"
        },
  "via": {
      ...
  }
}

Delete a person

In order to delete a person, please run the query described below.

As the result of the query execution, the following happens:

  • The “person” is deleted (the relevant ID does not work anymore)
  • All the items and performed scoring are deleted
  • Information related to the fact of the scoring performance with the correspondent price is kept (!)
  • Information related to the query itself with the first 16 symbols (and length) of the items is kept (for debugging purposes)

HTTP Request DELETE https://api.sentino.org/api/person/<id>

Input JSON:

curl -X DELETE "https://api.sentino.org/api/person/<id>"
-H "Authorization: Token sentino_api_token"
-H "Content-Type: application/json"

The command returns JSON structured like this:

{
  "message": "success"
}

Inventory List

Inventory is a set of items that are intended for measurement of psychological traits of a person (e.g. Big-5, NEO-PI etc.)

Endpoints discussed in this section allow you to get all available personality inventories (such as Big 5, NEO etc.) together with their facets (indices) and corresponding items. These are questionnaires help to understand individuals’ psyche. Theya are reliably validated by numerous scientific studies and widely used by practitioners. The inventories listed below can be used out of the box. If you need any other inventory, please do not hesitate to contact us.

Inventories

This endpoint shows all available personality inventories.

List of inventories:

InventoryDescription
big5Big-Five personality traits [1]
bfasBig-Five Aspects [2]
neoRevised NEO Personality Inventory [3]
ab5cAbridged Big Five Dimensional Circumplex facets [4]
hexacoHEXACO Personality Inventory [5]
6fpqSix Factor Personality Questionnaire [6]
8ics8 IPIP Interpersonal Circumplex Scales [7]
big77 Preliminary IPIP Scales [8]
cpiCalifornia Psychological Inventory [9]
emointPotential “Emotional Intelligence” Components [10]
epqEysenck Personality Questionnaire [11]
jpiJackson Personality Inventory [12]
mpqMultidimensional Personality Questionnaire [13]
tciTemperament and Character Inventory [14]
viaValues in Action Character Survey [15]
orvisOregon Vocational Interest Scales [16]
adjTrait adjectives [17]
bisbasBehavioral Inhibition/Activation Systems [18]
psPlasticity and stability [19]
qb6Six Factor Personality Questionnaire [20]
ipc8 IPIP Interpersonal Circumplex Scales [21]
oraisOregon Avocational Interest Scales [22]
spiSAPA Personality Inventory [23]
discDISC Personality Inventory [24]

[1] Goldberg (1992). Big-Five Factor Markers

[2] DeYoung, Quilty, and Peterson (2007). 10 Big-Five Aspects

[3] Costa and McCrae (1992). NEO-PI-R

[4] Hofstee, de Raad and Goldberg (1992). 45 AB5C facets

[5] Lee and Ashton (2004). HEXACO-PI

[6] Jackson, Paunonen, and Tremblay (2000). Six Factor Personality Questionnaire

[7] Markey and Markey (2009). 8 IPIP Interpersonal Circumplex Scales

[8] Saucier (1997). 7-factor scales

[9] Gough (1996). California Psychological Inventory

[10] Barchard (2001). Potential “Emotional Intelligence” Components

[11] Hans Eysenck & Sybil Eysenck (1975). Eysenck Personality Questionnaire

[12] Jackson (1994). Jackson Personality Inventory

[13] Tellegen (1995/2003). Multidimensional Personality Questionnaire

[14] Cloninger, et al. (1994). Temperament and Character Inventory

[15] Peterson & Seligman (2004). Values in Action Character Survey

[16] Pozzebon, et al. (2010). Oregon Vocational Interest Scales

[17] Goldberg, L. R. (1990). An alternative “Description of personality”: The Big-Five factor structure

[18] Carver & White (1994). Behavioral Inhibition/Activation Systems

[19] DeYoung, C. G., Peterson, J. B., & Higgins, D. M. (2002). Higher-order factors of the Big Five predict conformity: Are there neuroses of health?

[20] Jackson, Paunonen, and Tremblay (2000). Six Factor Personality Questionnaire

[21] Markey and Markey’s (2009)

[22] Goldberg, L. R. (1992). The development of markers for the Big-Five factor structure. Psychological Assessment, 4, 26-42

[23] David M. Condon, An empirically-derived, hierarchically-organized self-report personality assessment model

[24] William Moulton Marston (2008). Emotions of Normal People

HTTP Request GET https://api.sentino.org/api/inventories

Input command:

curl -X GET "https://api.sentino.org/api/inventories"
-H "Authorization: Token sentino_api_token"
-H "Content-Type: application/json"
























The command returns JSON structured like this:

 {
    "inventories": [
        "6fpq",
        "8ics",
        "ab5c",
        "adj",
        "bfas",
        "big5",
        "big7",
        "bisbas",
        "cpi",
        "disc",        
        "emoint",
        "hexaco",
        "ipc",
        "jpi",
        "mpq",
        "neo",
        "orais",
        "orvis",
        "qb6",
        "riasec",        
        "spi",
        "tci",
        "via"
    ]
}

Inventory Items

This endpoint retrieves all the items for a given inventory. Ask people how these items relate to them and you will be able to get a highly confident psychological profile by scoring items.

Instead of <inventory> you should choose a particular inventory from the proposed list of personality inventories.

HTTP Request GET https://api.sentino.org/api/items/<inventory>

Input command:

curl -X GET "https://api.sentino.org/api/items/neo"
-H "Authorization: Token sentino_api_token"
-H "Content-Type: application/json"












The command returns JSON structured like this:

{
    "inventory": "neo",
    "items": [
        "I a lot in my spare time.",
        "I act comfortably with others.",
        "I act wild and crazy.",
        "I act without thinking.",
        "I adapt easily to new situations.",
        "I am a creature of habit.",
        "I am able to control my cravings.",
        "I am able to stand up for myself.",
        "I am afraid of many things."
         ...
    ]
}

Index Items

This endpoint retrieves all items for a given index of the inventory.

Instead of <inventory> you should choose a particular inventory from the list of the inventories.

Instead of <index> it is necessary to specify a particular index of the inventory. You can look through the list of available inventories at the address: https://api.sentino.org/api/inventories/<inventory> (please specify the previously chosen inventory).

HTTP Request GET https://api.sentino.org/api/items/<inventory>/<index>

Input command:

curl -X GET "https://api.sentino.org/api/items/neo/anger"
-H "Authorization: Token sentino_api_token"
-H "Content-Type: application/json"












The command returns JSON structured like this:

{
    "inventory": "neo",
    "index": "anger",
    "items": [
        "I am not easily annoyed.",
        "I am often in a bad mood.",
        "I get angry easily.",
        "I get irritated easily.",
        "I get upset easily.",
        "I keep my cool.",
        "I lose my temper.",
        "I rarely complain.",
        "I rarely get irritated.",
        "I seldom get mad."
    ]
}

Questionnaires

This endpoint lists all (20+) questionnaires available out-of-the-box. Please note that you can create a questionnaire of your own for any inventory (see the section create a questionnaire below).

HTTP Request GET https://api.sentino.org/api/questionnaires

Input command:

curl -X GET "https://api.sentino.org/api/questionnaires"
-H "Authorization: Token sentino_api_token"
-H "Content-Type: application/json"


The command returns JSON structured like this:

  {
    "questionnaires": [
        "neo.sentino.90",
        ...
    ]
  }

Questionnaire

Select a particular questionnaire to view its items and scorings.

Instead of <questionnaire> you should choose one questionnaire from the list of available questionnaires.

HTTP Request GET https://api.sentino.org/api/questionnaire/<questionnaire>

Input command:

curl -X GET "https://api.sentino.org/api/questionnaire/neo.sentino.90"
-H "Authorization: Token sentino_api_token"
-H "Content-Type: application/json"



The command returns JSON structured like this:

{
    "questionnaire": "neo.sentino.90",
    "items": [
        "I am open about my feelings.",
        "I crave the experience of great art.",
        ...
        ]
}

Create a Questionnaire

You can easily create a questionnaire of your own based on one or several pre-chosen personality inventories. Please provide n – a number of items you need. Instead of <inventories> you should specify particular inventories from the list of inventories. By default, Sentino API uses the highly-efficient “smart” method for item search and selection.

ParameterDescription
inventoriespre-selected inventories for which the items are got
methodsmart
nnumber of items to include in the questionnaire

HTTP Request POST https://api.sentino.org/api/questionnaire

Input JSON:

curl -X POST "https://api.sentino.org/api/questionnaire"
-H "Authorization: Token sentino_api_token"
-H "Content-Type: application/json"
-d '{
    "inventories": ["big5", "neo"],
    "method": "smart",
    "n": 30
    }'
































The command returns JSON structured like this:

{
    "inventories": [
        "big5",
        "neo"
    ],
    "method": "smart",
    "n": 30,
    "items": [
        "I respect authority.",
        "I dislike routine.",
        "I am hard to get to know.",
        "I get angry easily.",
        "I have a rich vocabulary.",
        "I am not highly motivated to succeed.",
        "I react slowly.",
        "I prefer variety to routine.",
        "I look down on others.",
        "I lose my temper.",
        "I get caught up in my problems.",
        "I do not like poetry.",
        "I take charge.",
        "I do crazy things.",
        "I express childlike joy.",
        "I contradict others.",
        "I often feel blue.",
        "I break rules.",
        "I seldom get emotional.",
        "I seek adventure.",
        "I am hard to get to know.",
        "I avoid crowds.",
        "I enjoy wild flights of fantasy.",
        "I often eat too much.",
        "I have a rich vocabulary.",
        "I tend to vote for liberal political candidates.",
        "I believe that I am better than others.",
        "I know how to get around the rules.",
        "I leave a mess in my room.",
        "I stumble over my words."
    ]
}

Item Analysis

Sentino API uses Natural Language Processing (NLP) algorithms to understand the written input of human language. To understand an item is to know how it relates to the known psychological inventories. This ensures that the resulting analysis is always based on the data of real people.

These endpoints will help you to get insights into the item itself, providing you with a multifaceted analysis. The main question is the following: what psychological traits are hidden behind an item? Try out a Self-statement Analysis Tool that demonstrates item-level functionality.

Item classification

API strongly differentiates a psychologically meaningful information from the rest. This endpoint classifies the given item according to the following categories below. The result is a probability of belonging to a certain category with a range of [0, +1]). Probability higher than 0.5 is considered relevant.

Query Parameters

ParameterDescription
textThe result will be based on the item written
Basic categoriesDescription and typical item
is_psyAn item with a psychological meaning [0, 1] — I am an extrovert
is_itemAny meaningful item about a person [0, 1] — I am ambitious/I think so
is_moodIf item is related to mood expression [0, 1] — I feel happy now/I feel depressed now
valenceValence of the item [-1, +1] — I behave well/I behave badly
meanBias the item — I behave well/I behave badly
probaProbability of people answering [no, neither, yes]
CategoriesTypical item
ageI am 45
age_groupI am old
appearanceI am good-looking
childhood_areaI grew up in a village
colorMy favorite color is blue
educationI have a master degree
ethnicityI am asian
family_memberMy grandfather is still alive
fearI am afraid of dogs
foodI like pizza
genderI am a female
habitI usually go to sleep very late
handI am left-handed
hobbyI collect coins
jobI am employed
languageI speak English
moodI feel happy
nameMy name is John
nationalityI am American
occupationI am a doctor
origin_locationI am from Germany
parenthoodI am a father
psyI am a brave person
relationshipI am married
religionI am a committed atheist
residenceI live in Great Britain
sexual_orientationI am a straight woman
siblingsI have a brother
skillI am good at cooking

HTTP Request POST https://api.sentino.org/api/item/classify

Input JSON:

curl -X POST "https://api.sentino.org/api/item/classify" 
-H "Authorization: Token sentino_api_token"
-H "Content-Type: application/json" 
-d '{"text": "I am brave"}'






























The command returns JSON structured like this:

{
    "text": "I am brave",
    "lang": "en",
    "basics": {
        "is_psy": 0.927,
        "is_mood": 0.0,
        "is_item": 0.928,
        "valence": 0.581,
        "mean": 0.568,
        "proba": [0.14, 0.31, 0.55]
    },
    "topics": ["psy"],
    "proba": {
        "psy": 0.927,
        "food_preference": 0.003,
        "parental_status": 0.019,
        "age": 0.068,
        "gender": 0.129,
        "health_status": 0.014,
        "name": 0.069,
        "skill": 0.199,
        "appearance": 0.217,
        "location_origin": 0.015,
        "family_status": 0.0,
        "ethnicity": 0.017,
        "education_status": 0.011,
        "religion": 0.007,
        "language": 0.0,
        "location_residence": 0.0,
        "orientation": 0.0,
        "marital_status": 0.002,
        "sibling_status": 0.0
        ...
    }
 }

Item projection

The API allows analyzing a given self-statement (item) by projecting it onto specified personality inventory (projection correspondence range is [-1, +1]). You should choose a particular inventory from the list of personality inventories.

Keep in mind, it only makes sense for psychologically relevant statements.

This endpoint shows the projection of a given item onto a specified personality inventory.

ParameterDescription
texttext to project
inventoriesinventories to project the item on

HTTP Request POST https://api.sentino.org/api/item/projection

Input JSON:

curl -X POST "https://api.sentino.org/api/item/projection" 
-H "Authorization: Token sentino_api_token"
-H "Content-Type: application/json" 
-d '{"text": "I am brave", "inventories": ["big5"]}'























The command returns JSON structured like this:

 {
    "text": "i am brave",
    "inventories": [
        "big5"
    ],
    "lang": "en",
    "projection": {
        "big5": {
            "agreeableness": -0.025,
            "conscientiousness": 0.051,
            "extraversion": 0.313,
            "neuroticism": -0.194,
            "openness": 0.293
        }
    },
    "basics": {
        "valence": 0.573,
        "is_item": 1.0,
        "is_psy": 1.0,
        "is_mood": 0.0,
        "proba": [
            0.166,
            0.057,
            0.777
        ],
        "mean": 0.611
    }
}

Errors

Sentino API uses the following error codes:

Error CodeMeaning
400Bad Request — Your request is invalid.
401Unauthorized — Your Sentino API token is wrong.
404Not Found — The endpoint is not found.
405Method Not Allowed — You tried to access an invalid method.
406Not Acceptable — You requested a format that isn’t json.
429Too Many Requests — You’re requesting too many things! Slow down!
500Internal Server Error — We had a problem with our server. Try again later.
503Service Unavailable — We’re temporarily offline for maintenance. Please try again later.
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