> For the complete documentation index, see [llms.txt](https://conblox.gitbook.io/docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://conblox.gitbook.io/docs/scam-address-api/overview.md).

# Overview

The Scam Address API enables users to analyze Ethereum addresses using our fraud detection model. It calculates the probability that a given account is involved in fraudulent or malicious activities, helping you assess risk.&#x20;

The API is available at <https://api.conblox.xyz>.&#x20;

## Scope - supported chains and accounts:

The account's entire transaction history is analyzed by our fraud-detection model to provide its output. It currently supports:

* **Supported Accounts**: The model currently supports externally owned accounts (EOAs) only. If a smart contract address is provided, the model will not generate predictions. Smart contract support is planned for future versions. For now, you will receive a response from the API indicating that the input address belongs to a smart contract.
* **Supported Chains**: At present, the model supports Ethereum accounts. As long as the account has sufficient activity on Ethereum, our model delivers reliable predictions. However, if fraudulent activity occurs exclusively on other chains and the Ethereum activity is benign, the account may not be flagged. Support for additional EVM-compatible chains is in progress.

## How to understand the output

The API returns a probability between 0 and 1, representing the likelihood that the address is involved in scam activities:

* **0**: Lowest probability of scam involvement
* **1**: Highest probability of scam involvement

A threshold of 0.5 is typically used to classify addresses, but you can adjust the threshold based on your needs:

* **Higher thresholds**: More strict, reducing the risk of false positives (genuine addresses flagged as scams).
* **Lower thresholds**: Less strict, increasing sensitivity but potentially generating more false positives.

**Example Risk Tiers**:

* **0 - 0.3**: Very low risk of scam involvement
* **0.3 - 0.5**: Low risk of scam involvement
* **0.5 - 0.7**: Medium risk of scam involvement
* **0.7 - 1.0**: High risk of scam involvement


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## 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://conblox.gitbook.io/docs/scam-address-api/overview.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.
