# Foundational enrichment

Foundational enrichment provides core company data sourced from LinkedIn profiles, giving you reliable baseline firmographic information for your accounts.

## LinkedIn fields

| Field                                | Source                    |
| ------------------------------------ | ------------------------- |
| Name                                 | LinkedIn                  |
| Company description                  | LinkedIn                  |
| Headcount - Associated profiles      | LinkedIn                  |
| Company size                         | LinkedIn                  |
| Industry                             | LinkedIn                  |
| Country                              | LinkedIn                  |
| State                                | LinkedIn                  |
| City                                 | LinkedIn                  |
| Company address                      | LinkedIn                  |
| Founded year                         | LinkedIn                  |
| Company age                          | Calculated                |
| Company type (e.g. "Privately held") | LinkedIn                  |
| Headcount growth (12 months)         | Calculated                |
| Headcount growth (24 months)         | Calculated                |
| Last funding round                   | LinkedIn (via Crunchbase) |
| Funding amount                       | LinkedIn (via Crunchbase) |
| Funding date                         | LinkedIn (via Crunchbase) |

{% hint style="info" %}
For AI-powered firmographic data like **Headcount**, **Revenue**, and **HQ**, see [Agentic firmographics](https://github.com/generatemomentum/documentation/blob/main/legacy/data/agentic-firmographics.md). Agentic firmographics uses AI agents to actively research and determine these values with full methodology transparency.
{% endhint %}


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.kernel.ai/legacy/data/foundational-enrichment.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.