# Terrace

<figure><img src="/files/hyR9vazMxX33rmwXkwat" alt=""><figcaption><p>Terrace · Countercyclical</p></figcaption></figure>

## Terrace

**Terrace** is Countercyclical’s AI-powered risk analysis engine designed to detect off-balance sheet liabilities, hidden leverage, and unreported financial exposures in corporate filings. It integrates seamlessly into our institutional-grade research platform and provides analysts with verifiable, source-linked insights.

***

### What Terrace Does

Terrace analyzes structured and unstructured financial documents—such as SEC filings—to uncover *n-order* risks that may not be visible in traditional balance sheet analysis/due diligence processes.

Each insight Terrace generates includes:

* A concise risk observation
* A confidence score
* Direct source attribution (quote, section, and link to EDGAR)
* Optional user ratings and feedback

***

## FAQ

<details>

<summary>How does Countercyclical approach user data &#x26; privacy as it relates to AI?</summary>

We take user data and privacy very seriously, and Countercyclical **does not** provide any user data to AI models.

Given that Terrace is a feature add-on available only to users actively paying for the service, we perform strict server-side/back-end validation checks to see if a user has access to the feature, alongside their ability to generate insights for companies for every request made.

</details>

<details>

<summary>Where can I learn more about Countercyclical's AI practices?</summary>

You can visit our trust & security center at [https://security.countercyclical.io](https://security.countercyclical.io/) to learn more about how Countercyclical uses AI.

Please send us an email at <support@countercyclical.io> if you have any questions

</details>


---

# 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.countercyclical.io/fundamentals/terrace.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.