Understanding the Result

What results are obtained from a background check?

When completing a background check, two main types of results are generated:

1. Global Score

This is a numerical measure from 0 to 10 that indicates the trust level of a person or company based on the information found in various databases.

  • 10 represents a high level of trust (no records found).

  • 0 represents a low or risky trust level (e.g., if multiple criminal records exist or if the record does not exist at all).

The score always starts at 10 and is reduced depending on the severity of the records found across different categories.

How is the score calculated?

Each background category (called a dataset) has a different weight in the score. The categories and weights for each query type are explained below.

  • Findings confirmed by an identification number (ID) have a stronger impact, as the match is 100% confirmed.

  • Information found by name is more prone to homonymy errors and therefore has a lower weight in the score calculation.

2. Check Details

In addition to the score, each check returns a set of details with all the information found in the consulted databases, grouped by dataset.

Each dataset includes:

  • Dataset score from 0 to 1

  • Specific information found in each data source

  • A severity level, which helps contextualize the information and contributes to the global score but should not be interpreted as legal advice.

    • Severity levels:

      • Unknown (does not affect the score)

      • None (does not affect the score)

      • Very low

      • Low

      • Medium

      • High

      • Very high

Types of Checks

Individual Check

  • personal_identity: Validates the individual’s identity through official records such as ID documents, residence permits, or electoral registries.

  • criminal_record: Checks criminal and judicial records through government and court databases.

  • legal_background: Searches for legal proceedings, corrective measures, and potential disqualifications.

  • international_background: Verifies international alerts, sanctions, or global records.

  • professional_background: Reviews work or academic history, such as professional associations or disciplinary sanctions.

  • affiliations_and_insurances: Validates affiliations with social security systems, health plans, and public insurance.

  • alert_in_media: Analyzes mentions in digital media, social networks, and traditional media to identify possible negative alerts.

  • taxes_and_finances: Reviews financial records, tax obligations, and compliance status.

Category Weights by Country:

Category
Colombia
Brazil
Mexico
Peru
Chile

Personal Identity

0.2

0.1

0.2

0.2

0.2

Criminal Records

0.6

0.5

0.5

0.6

0.6

Legal Background

0.1

0.1

0.1

0.1

0.1

International Background

0.1

0.2

0.1

0.1

0.1

Professional Background

0

0.2

NA

0

0

Affiliations & Insurances

0

NA

NA

0

0

Media Alerts

0

0

0

0

0

Taxes & Finances

0

NA

0.1

NA

NA


Company Check

  • business_background: Verifies commercial and financial information, including tax records, corporate status, and administrative sanctions.

  • criminal_record: Checks criminal and judicial records associated with the company or its legal representatives.

  • legal_background: Searches for legal proceedings, administrative sanctions, and corrective measures applied to the company.

  • international_background: Verifies international alerts and sanctions related to the company.

  • alert_in_media: Analyzes digital and traditional media mentions to identify reputational risks.

  • taxes_and_finances: Reviews tax and financial compliance, verifying obligations and regulatory records.

Category Weights by Country:

Dataset
Colombia
Brazil
Mexico

Business Background

0.3

0.7

0.2

Criminal Records

0.4

NA

0.3

Legal Background

0.1

NA

0.3

International Background

0.1

0.3

0.1

Media Alerts

0

0

0

Taxes & Finances

0.1

NA

0.1


Individual Credit History Check

  • personal_identity: Validates the individual’s identity through official records.

  • credit_history: Assesses the person's credit history, including financial behavior, debts, payment compliance, and reports from credit bureaus. (Consults Datacrédito in Colombia and Serasa in Brazil)

Category Weights:

Of course! Here's the translated and formatted table of categories and weights for company checks by country:

Dataset
Colombia
Brazil

Personal Identity

0.2

0.2

Credit History

0.8

0.8


Company Credit History Check

  • business_background: Verifies commercial and financial information, including tax records, corporate status, and administrative sanctions.

  • credit_history: Assesses the company’s credit history, including financial behavior, debts, payment compliance, and reports from credit bureaus. (Consults Datacrédito in Colombia and Serasa in Brazil)

Category Weights:

Dataset
Colombia
Brazil

Business Background

0.2

0.2

Credit History

0.8

0.8

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