apilize-protocol

v1.1.0 suspicious
5.0
Medium Risk

Python SDK for the Apilize Protocol v1 — author financial models that speak the protocol over CLI stdio.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows minimal direct risks but has a notable metadata risk due to low community engagement and limited maintainer history, suggesting potential issues.

  • Low direct risk indicators
  • Significant metadata risk due to maintainer and community activity
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external API interactions.
  • Shell: No shell execution patterns detected, indicating no immediate risk of executing system commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The repository's lack of community engagement and the maintainer's limited history suggest potential risk.

📦 Package Quality Overall: Medium (6.2/10)

✦ High Test Suite 9.0

Test suite present — 7 test file(s) found

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

Some documentation present

  • Documentation URL: "Documentation" -> https://github.com/Apilize/apilize-protocol/tree/main/sdk/py
  • Detailed PyPI description (5507 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 65 type-annotated function signatures detected in source
◈ Medium Multiple Contributors 6.0

Limited contributor diversity

  • 2 unique contributor(s) across 18 commits in Apilize/apilize-protocol
  • Two distinct contributors found

🔬 Heuristic Checks

Outbound Network Calls

No suspicious network call patterns found

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 4.0

2 maintainer concern(s) found

  • Only one version has ever been released — brand new package
  • Author "Apilize" 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 apilize-protocol
Create a command-line tool named 'FinanceModeler' using the Python package 'apilize-protocol'. This tool should allow users to create, modify, and validate financial models according to the Apilize Protocol v1. Users will interact with the tool through a simple CLI interface, where they can input various financial data points such as interest rates, stock prices, and economic indicators. The tool should then use the 'apilize-protocol' package to process these inputs, generate corresponding financial models, and output them back to the user in a standardized format that adheres to the Apilize Protocol.

Key Features:
1. User Input: Allow users to input financial data via the CLI, including parameters like interest rates, inflation rates, GDP growth forecasts, etc.
2. Model Generation: Use the 'apilize-protocol' package to automatically generate financial models based on the user-provided data.
3. Validation: Validate the generated models against predefined rules within the Apilize Protocol to ensure accuracy and compliance.
4. Output: Display the final financial model in a human-readable format and also provide an option to export it to a file in a structured format (e.g., JSON).
5. Help Documentation: Include comprehensive help documentation accessible via the CLI to guide users on how to use each feature of the tool.

How to Utilize 'apilize-protocol':
- Import necessary modules from the 'apilize_protocol' package to handle financial model creation and validation tasks.
- Use the package's functions to parse user inputs into the correct data structures required by the Apilize Protocol.
- Apply the protocol's validation methods to ensure the models adhere to specified standards before presenting them to the user.
- Leverage the package's capabilities to enhance the functionality and reliability of the 'FinanceModeler' tool.

💬 Discussion Feed

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