adanos

v2.5.0 suspicious
4.0
Medium Risk

Python SDK for the Adanos Market Sentiment API

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits some unusual characteristics such as low activity and a new maintainer, which could indicate potential risks. However, there are no definitive signs of malicious intent or supply-chain attack.

  • Low package activity
  • New maintainer
  • Typical HTTP request patterns
Per-check LLM notes
  • Network: The observed network patterns are typical for a package that performs HTTP requests, suggesting it may interact with external services.
  • Shell: No shell execution patterns were detected, indicating low risk in this aspect.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: Low activity and new maintainer suggest potential risk, but no clear signs of malice.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 7.5

Found 5 network call pattern(s)

  • e: self._client = httpx.Client( base_url=self._base_url, co
  • context manager for internal httpx.Client (see httpx docs)""" self.get_httpx_client().__exit__(
  • self._async_client = httpx.AsyncClient( base_url=self._base_url, co
  • ontext manager for underlying httpx.AsyncClient (see httpx docs)""" await self.get_async_httpx_client
  • ) self._client = httpx.Client( base_url=self._base_url, co
✓ Code Obfuscation

No obfuscation patterns detected

✓ Shell / Subprocess Execution

No shell execution patterns detected

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 2.5

Git history flags: Repository has zero stars and zero forks

  • Repository has zero stars and zero forks
⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Alexander Schneider" appears to have only 1 package on PyPI (new or inactive account)
✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with adanos 
Develop a sentiment analysis dashboard using the Adanos Market Sentiment API via the 'adanos' Python package. This application will allow users to input stock ticker symbols and receive real-time sentiment analysis of market opinions towards those stocks. Here’s how you can structure your project:

1. **Setup**: Begin by installing the 'adanos' package. Ensure you have an API key from Adanos to authenticate requests.
2. **Frontend Interface**: Create a simple web interface where users can enter one or more stock tickers. Use Flask or Django for backend handling and HTML/CSS/JavaScript for frontend.
3. **Backend Logic**: Implement backend logic that fetches sentiment data from Adanos using the 'adanos' package based on user inputs. Store this data temporarily for display.
4. **Data Visualization**: Display sentiment scores graphically. Use libraries like Matplotlib or Plotly for visual representation of sentiment trends over time.
5. **User Interaction**: Allow users to filter data by date range and visualize changes in sentiment over specific periods.
6. **Additional Features** (Optional):
   - Compare sentiments between multiple stocks.
   - Provide historical sentiment data for deeper analysis.
   - Integrate news headlines related to the stock(s) for context.
7. **Testing & Deployment**: Thoroughly test the application for usability and functionality. Deploy it on platforms like Heroku or AWS for public access.

This project not only leverages the power of the 'adanos' package but also provides practical insights into real-world financial market sentiments through an interactive and visually appealing interface.