2sio

v0.24.0 suspicious
7.0
High Risk

Python client for 2s.io — ever-expanding catalog of pay-per-call AI agent APIs on Base via x402.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits potential typosquatting behavior targeting the popular 'six' library, coupled with low maintainer activity which raises significant concerns about its legitimacy and security.

  • Potential typosquatting targeting the 'six' library
  • Low maintainer activity indicating possible abandonment or malicious intent
Per-check LLM notes
  • Metadata: The package shows signs of potential typosquatting and low maintainer activity, raising concerns.
  • Typosquatting target: six

🔬 Heuristic Checks

Outbound Network Calls score 1.5

Found 1 network call pattern(s)

  • one: self._http = httpx.Client(timeout=self._timeout) return self._http def _g
Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

  • decoded = json.loads(base64.b64decode(resp_hdr).decode("utf-8")) settlement = {
Shell / Subprocess Execution

No shell execution patterns detected

Credential Harvesting

No credential harvesting patterns detected

Typosquatting score 3.0

Possible typosquat of: six

  • "2sio" is 2 edit(s) from "six"
Registered Email Domain

Email domain looks legitimate: alley.io>

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 4.0

2 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" 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 2sio
Create a mini-application called 'AI Agent Marketplace' that leverages the 2sio Python package to interact with various AI agents available through the 2s.io platform. This application will serve as a simple GUI interface where users can browse different AI agents, view their descriptions, pricing, and usage statistics. Users should also be able to invoke these AI agents directly from the app and see the results in real-time.

Step 1: Set up the environment.
- Install Python and necessary packages including 2sio.
- Create a virtual environment and activate it.

Step 2: Design the User Interface.
- Use a library like Tkinter or PyQt to create a basic GUI layout.
- Include sections for displaying AI agent lists, descriptions, pricing, and usage stats.

Step 3: Implement Functionality.
- Integrate the 2sio package to fetch and display information about available AI agents.
- Allow users to select an AI agent and trigger its API call through the 2sio package.
- Display the output of the AI agent's response in the UI.

Suggested Features:
- A search bar to filter AI agents based on keywords.
- An option to sort AI agents by price or popularity.
- Integration with a payment gateway to handle per-call payments for premium AI agents.
- Logging of user interactions and API calls for analytics purposes.

How to Utilize the 2sio Package:
- Use 2sio to authenticate your application with the 2s.io service.
- Query the 2sio package to retrieve metadata about all available AI agents.
- For each selected AI agent, use the 2sio package to make API calls and process responses.
- Ensure proper error handling and feedback to the user in case of failed API calls.