Identify if code makes api calls
using AI
Below is a free classifier to identify if code makes api calls. Just input your text, and our AI will predict if the code makes API calls - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("if-code-makes-api-calls", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/if-code-makes-api-calls/invoke', {
method: 'POST',
headers: {
'Authorization': 'Bearer ' + 'YOUR_BEARER_TOKEN',
'Content-Type': 'application/json',
},
body: JSON.stringify(
{"data": "your_text_here"}
)
})
.then(response => response.json())
.then(data => console.log(data));
curl -X POST \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_BEARER_TOKEN" \
-d '{"data": "your_text_here"}' \
https://www.nyckel.com/v1/functions/if-code-makes-api-calls/invoke
How this classifier works
To start, input the text that you'd like analyzed. Our AI tool will then predict if the code makes API calls.
This pretrained text model uses a Nyckel-created dataset and has 2 labels, including Does Not Make Api Calls and Makes Api Calls.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if the code makes API calls).
Whether you're just curious or building if code makes api calls detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify if code makes api calls at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- API Call Monitoring: Utilize the True text classification function to automatically categorize code snippets based on whether they make API calls. This enables developers and operations teams to quickly assess which parts of the codebase interact with external services, facilitating easier debugging and performance monitoring.
- Code Review Automation: Integrate the identifier within code review tools to flag or highlight sections of code that contain API calls. This promotes more focused discussions among developers during the review process and ensures that API interactions adhere to defined standards and best practices.
- Security Analysis: Employ the classification function to identify code that executes API calls and subject it to deeper security scrutiny. This allows security teams to proactively address potential vulnerabilities associated with external API interactions, such as improper authentication or potential data leaks.
- Compliance Auditing: Use the identifier to extract and log all instances of API calls within code for compliance audits. This can help ensure that the application adheres to regulatory standards and data access policies, simplifying the auditing process and maintaining transparency.
- Documentation Generation: Leverage the classification tool to automatically generate documentation for codebases based on sections that perform API calls. This can improve the clarity and usefulness of technical documentation, providing clear insight into how external services are integrated and utilized.
- Legacy Code Refactoring: Implement the identifier to pinpoint legacy code sections that make API calls, allowing teams to prioritize code refactoring efforts. By understanding where API dependencies exist, developers can modernize applications more effectively and enhance overall system performance.
- Performance Optimization: Use the identifier to analyze patterns in API calls within the codebase. By identifying and monitoring areas with high-frequency API interactions, development teams can optimize performance, implement caching, or adjust service usage to reduce latency and resource consumption.