ApparatusAI Python SDK
The ApparatusAI SDK provides an easy-to-use interface to interact with the ApparatusAI API. This SDK enables developers to fetch user information, run business forecasts, and analyze social trends using ApparatusAI's powerful machine learning models.
Features
- Secure API Token Authentication
- Business Forecasting
- Social Trend Analysis
- ⚡ Easy Integration with Python Applications
Installation
To install the SDK, run:
pip install apparatusai
Getting Started
1. Import the SDK
python
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from apparatusai import ApparatusAI
2. Initialize the SDK with your API Token
python
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ai = ApparatusAI("apai_your_api_token_here")
⚠️ Note: Ensure your API token starts with apai_, or an error will be raised.
3. Fetch User Info
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try:
user_info = ai.get_user_info()
print("User Info:", user_info)
except Exception as error:
print("Error fetching user info:", error)
4. Perform Business Forecasting
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try:
forecast_data = ai.forecast({"revenue": [10000, 12000, 15000]})
print("Forecast Result:", forecast
::contentReference[oaicite:0]{index=0}
Metadata
Release files for apparatusai 1.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| apparatusai-1.0.0.tar.gz | 2.9 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| apparatusai-1.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 5.5 kB
Release files / apparatusai-1.0.0.tar.gz
| Download URL | apparatusai-1.0.0.tar.gz |
|---|---|
| Size | 2.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.12.3
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Release files / apparatusai-1.0.0-py3-none-any.whl
| Download URL | apparatusai-1.0.0-py3-none-any.whl |
|---|---|
| Size | 2.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.12.3
|
Security for apparatusai 1.0.0
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