> ## Documentation Index
> Fetch the complete documentation index at: https://hc.saas-manager.biz.nuro.jp/llms.txt
> Use this file to discover all available pages before exploring further.

# Exploring Admina API with AI

> The Admina API can be explored and utilized more efficiently when combined with AI.

## Integration with AI

The Admina API is designed to seamlessly integrate with AI applications. It supports the following AI use cases:

* Generating API requests through natural language
* Interpreting API responses in natural language
* Assisting in constructing complex queries
* Automatically generating data analysis and insights

## Resources for AI Developers

### Using API Schema

The Admina API's OpenAPI schema helps AI models understand the API's structure and functionality. The schema can be accessed at the following URL:

```
https://api.itmc.i.moneyforward.com/public-api/docs/v1-json
```

### Building Natural Language Interfaces

You can build interfaces that access Admina's functionality through natural language using AI. For example:

* "Tell me about new users added yesterday"
* "Summarize the status of IT assets"

### Code Generation

You can use AI to generate API request code from natural language instructions:

1. Describe instructions in natural language
2. Have AI identify the appropriate API endpoint and parameters
3. Generate executable code

## Best Practices

### Security

* Do not pass API keys directly to AI
* Perform security reviews of AI-generated code
* Avoid creating API keys with unnecessary permissions

### Error Handling

* Implement appropriate error handling even for API requests generated by AI
* Control request frequency considering API rate limits

### Data Privacy

* Be careful when passing confidential data to AI tools
* Take appropriate protective measures when handling personal information or confidential data

## Sample Use Cases

### Report Generation

Use AI to automatically generate periodic reports:

```python theme={null}
# AI instruction: "Create this month's user activity report"
# AI calls the API to collect data and generates a natural language report
```

### Anomaly Detection

Use AI to detect abnormal API usage patterns:

```python theme={null}
# AI instruction: "Detect abnormal activity from logs in the past week"
# AI retrieves log data from the API and analyzes it
```

## Support

If you have questions or problems with integration with AI, please contact the support team.