# Blackbird

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## What is it?

**Blackbird** is a powerful Open Source Intelligence (OSINT) tool designed for fast and thorough searches of user accounts by **username or email** across a wide range of online platforms.

While built with OSINT in mind, Blackbird goes beyond simple account discovery — offering flexibility, customization, and **free AI-driven analysis** to support modern digital investigations and profiling.

#### Key Features:

* **Free AI-Powered Insights**\
  Includes built-in access to an **AI analysis API**, free to use with daily limits. The AI interprets the discovered platforms to generate behavioral and technical summaries — no personal data is shared.
* **Metadata Extraction**: Automatically extracts key details from discovered profiles, such as names, locations, images, and other public information.
* **WhatsMyName Integration**: Seamlessly integrates with [WhatsMyName](https://github.com/WebBreacher/WhatsMyName) for enhanced search capabilities.
* **Export Options**: Found accounts can be exported in PDF, CSV, or HTTP response formats, providing flexibility in data handling.
* **Customizable Filters**: Use the `--filter` argument to tailor searches by specifying property names and desired values.

#### Practical Applications:

* **Digital Investigations**: Ideal for cybersecurity professionals conducting thorough investigations.
* **Social Media Research**: Useful for identifying user accounts across multiple social media platforms.
* **Compliance and Verification**: Assists in verifying user information for compliance purposes.
* **Data Collection and Analysis**: Facilitates comprehensive data collection and analysis for various research purposes.

### Project Developer

[Lucas Antoniaci](https://www.linkedin.com/in/lucas-antoniaci/) [![Brazil](https://raw.githubusercontent.com/stevenrskelton/flag-icon/master/png/16/country-4x3/br.png)](https://raw.githubusercontent.com/stevenrskelton/flag-icon/master/png/16/country-4x3/br.png)

### Sponsors

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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://p1ngul1n0.gitbook.io/blackbird/readme.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.
