Non-Financial Risk API
Risk & Compliance
The Non-Financial Risk API performs multi-dimensional, non-financial risk assessment on a company, integrating data across compliance, sanctions, adverse media, operational anomalies, and ESG dimensions. It returns a structured risk overview and key risk indicators to support client onboarding, supplier management, partner screening, and continuous monitoring workflows. Designed for scalable, automated risk screening, it integrates into procurement systems, supply chain platforms, CRM, and internal risk management infrastructure.
Primary Use Cases
Evaluate non-financial risk indicators related to a company
Support risk identification in vendor or partner evaluation
API Function Name
non_financial_riskInput Parameters
At least one input parameter is required. If multiple inputs are provided, the system will process them in priority order.
Input Parameters
3 fields| Name | Type | Description | Example |
|---|---|---|---|
| linkedin_url | string | Company LinkedIn URL | https://www.linkedin.com/company/microsoft/ |
| website | string | Company website | www.microsoft.com |
| name | string | Company name | Microsoft |
Output Fields
Returned fields (normalized). Total: 90
Top-level Data Structure
5 fields| Field | Type | Description |
|---|---|---|
| time | int | Data generation timestamp |
| profile | object | Company profile |
| count_warning | int | Number of warnings |
| dimensions | object | Data for 6 dimensions |
| references | array of object | All referenced sources |
Company Profile Data Structure
18 fields| Field | Type | Description |
|---|---|---|
| linkedin_id | string | LinkedIn numeric ID |
| linkedin_key | string | LinkedIn unique key (company handle) |
| name | string | Company name |
| avatar_url | string (URL) | Company logo URL |
| hq_country_code | string | HQ country code (ISO) |
| hq_country_name | string | HQ country name |
| employee_range_name | string | Employee range label |
| employee_range_id | string | Employee range ID |
| founded_year | string | Founded year (as a string) |
| website_home_url | string (URL) | Website homepage URL |
| website_home_host | string | Website host |
| website_home_root | string | Website root domain |
| count_employee | int | Employee count |
| count_follower | int | LinkedIn follower count |
| description | string | Company description |
| industry_name | string | Industry name |
| specialties | array of string | Specialties/keywords |
| linkedin_url | string (URL) | LinkedIn company page URL |
dimensions / news Data Structure
2 fields| Field | Type | Description |
|---|---|---|
| tags | array of object | All news tags |
| news_list | array of object | News list: last 1 year, up to 50 items |
News Data Structure
7 fields| Field | Type | Description |
|---|---|---|
| timestamp | int | Timestamp |
| date | string | News date |
| title | string | News title |
| source | string | Source |
| sentiment | int | Sentiment score |
| link | string (URL) | Link |
| tags | array of object | News Tagslist |
News Tags（tags）Data Structure
3 fields| Field | Type | Description |
|---|---|---|
| id | string | Tag ID |
| text | string | Tag name |
| count | int | Number of news items for this tag |
dimensions / employees Data Structure
5 fields| Field | Type | Description |
|---|---|---|
| median_year | float | Median tenure (years) |
| change_6m | float | Employee count change rate (last 6 months) |
| change_12m | int | Employee count change rate (last 12 months) |
| monthly_count | array of object | Employee count breakdown (last 12 months) |
| new_decision_makers | array of object | Latest executive changes |
monthly_count Object Data Structure
3 fields| Field | Type | Description |
|---|---|---|
| date | string | Month, e.g., 2025-09 |
| count | int | Employee count |
| timestamp | int | Timestamp for the month |
Executive Changes（new_decision_makers） Object Data Structure
5 fields| Field | Type | Description |
|---|---|---|
| date | string | Date (e.g., 2025-09-08) |
| count | int | Employee count |
| timestamp | int | Timestamp for the month |
| subject | string | Executive ChangesTitle |
| link | string | LinkedIn URL for this executive |
dimensions / esg Data Structure
1 fields| Field | Type | Description |
|---|---|---|
| certifications | array of object | ESG certification list |
certifications Object Data Structure
4 fields| Field | Type | Description |
|---|---|---|
| name | string | Certification name |
| short_name | string | Short name |
| description | string | Description |
| certified | int | Whether certified |
dimensions / cybersecurity Data Structure
6 fields| Field | Type | Description |
|---|---|---|
| standards | array of object | Information security standards |
| website_traffic_count | int | Website traffic |
| website_traffic_change | float | Monthly website traffic change |
| website_traffic_top_countries | array of object | Website traffic by country |
| it_employees_changes_6m | float | IT employee change (last 6 months) |
| it_employees_changes_12m | float | IT employee change (last 12 months) |
standards Object Data Structure
4 fields| Field | Type | Description |
|---|---|---|
| full_name | string | name |
| short_name | string | Short name |
| description | string | Description |
| certified | int | Whether certified |
dimensions / regulatory Data Structure
1 fields| Field | Type | Description |
|---|---|---|
| entity_list | array of object | sanctions listlist |
entity_list Object Data Structure
6 fields| Field | Type | Description |
|---|---|---|
| title | string | Sanctions list name |
| identifier | string | ID |
| publisher | string | Publisher |
| entities | string | Number of entities on the list |
| description | string | listDescription |
| listed | int | Whether the entity matches this sanctions list |
dimensions / operational Data Structure
2 fields| Field | Type | Description |
|---|---|---|
| recent_disasters | array of object | Recent disasters |
| current_wars | array of object | Current wars |
recent_disasters Object Data Structure
10 fields| Field | Type | Description |
|---|---|---|
| type | string | Type |
| name | string | name |
| description | string | Description |
| level | string | Severity level |
| score | int | Weight |
| countries | array of string | Affected country codes |
| lalo | array of number | Coordinates |
| time_from | int | Start time |
| time_to | int | End time |
| affected | int | Affected or not |
current_wars Object Data Structure
4 fields| Field | Type | Description |
|---|---|---|
| name | string | War/event name |
| lalos | array of array (number) | Coordinate points list |
| countries | array of string | Countries involved (ISO 3166-2) |
| affected | int | Affected or not |
Reference Data Structure
4 fields| Field | Type | Description |
|---|---|---|
| title | string | Title |
| link | string (URL) | URL |
| source | string | Source |
| timestamp | int | Timestamp |
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