ardyn

v0.2.1 safe
4.0
Medium Risk

Official Python client for the Ardyn Liability Verification Substrate API

🤖 AI Analysis

Final verdict: SAFE

The package appears to be legitimate with low risks associated with network, shell, and obfuscation activities. However, the incomplete maintainer profile and potential abandonment raise some concerns.

  • Low network, shell, and obfuscation risks.
  • Incomplete maintainer profile and potential abandonment.
Per-check LLM notes
  • Network: The package makes network calls to external services, which is common but should be reviewed to ensure they align with the package's intended functionality.
  • Shell: No shell execution patterns were detected in the provided code snippets.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
  • Credentials: No credential harvesting patterns detected, indicating low risk of malicious credential theft.
  • Metadata: The package shows signs of being new and potentially abandoned, with an incomplete maintainer profile.

📦 Package Quality Overall: Medium (5.6/10)

✦ High Test Suite 9.0

Test suite present — 4 test file(s) found

  • Test runner config found: conftest.py
  • Test runner config found: pyproject.toml
  • 4 test file(s) detected (e.g. conftest.py)
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://docs.ardyn.ai
  • Detailed PyPI description (3366 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 7.0

Partial type annotation coverage

  • Classifier: Typing :: Typed
  • 40 type-annotated function signatures detected in source
○ Low Multiple Contributors 1.0

Could not retrieve contributor data from GitHub

  • GitHub API error: 404

🔬 Heuristic Checks

⚠ Outbound Network Calls score 9.0

Found 6 network call pattern(s)

  • ardyn/json" req = urllib.request.Request(url, headers={"User-Agent": "ardyn-sdk"})
  • dyn-sdk"}) resp = urllib.request.urlopen(req, timeout=5) data = json.loads(resp.r
  • riggered = False with httpx.Client(timeout=10) as client: register_response = clien
  • le[str, int | None]: with httpx.Client(timeout=10, headers=_auth_headers(api_key)) as client:
  • r) return 1 with httpx.Client(timeout=10, headers=_auth_headers(api_key)) as client:
  • ptime_start) with httpx.Client(timeout=10, headers=_auth_headers(api_key)) as client:
✓ 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

Email domain looks legitimate: ardyn.ai>

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 3.0

Repository not found (deleted or private)

  • Repository not found (deleted or private)
⚠ Maintainer History score 6.0

3 maintainer concern(s) found

  • Only one version has ever been released — brand new package
  • 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 ardyn 
Create a mini-application called 'LiabilityChecker' that leverages the 'ardyn' Python package to verify liabilities of individuals or entities through the Ardyn Liability Verification Substrate API. This tool will serve as a quick reference for users to check if they or any entity they're interested in has any outstanding liabilities, such as unpaid debts, legal fines, or other financial obligations.

The application should include the following core functionalities:
1. User Input: Allow users to input either an individual's name or an entity's name for liability verification.
2. API Integration: Utilize the 'ardyn' package to connect to the Ardyn Liability Verification Substrate API and send requests for liability information based on user input.
3. Data Retrieval & Display: Once the request is processed, retrieve the data and present it in a user-friendly format, highlighting any outstanding liabilities.
4. Error Handling: Implement error handling to manage scenarios where the input might not yield any results or if there's an issue connecting to the API.
5. Optional Feature - Historical Data: As an additional feature, provide the option for users to view historical liability data over a specified period, showcasing trends or changes in liabilities.
6. Optional Feature - Alerts: Allow users to set up alerts for new liabilities or changes in existing ones for monitored entities.

For each step, ensure to demonstrate how the 'ardyn' package is being utilized effectively to achieve these goals. Focus on making the application intuitive and easy to use while also ensuring robust functionality.

💬 Discussion Feed

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