AI-powered oracle for NanoPy Network - bridge ML models to blockchain
Project description
NanoPy Oracle
AI-powered oracle for NanoPy blockchain. Bridge machine learning models to on-chain smart contracts.
Install
pip install nanopy-oracle
Usage
# Run sentiment analysis oracle
nanopy-oracle --provider sentiment --private-key YOUR_KEY
# Run with custom model
nanopy-oracle --provider ai --model your_model.pkl --private-key YOUR_KEY
Providers
sentiment- Text sentiment analysis (positive/negative/neutral)price- Crypto price feeds (CoinGecko)ai- Custom ML model inference
Features
- Python-native ML integration (PyTorch, scikit-learn, transformers)
- Multi-network support (L1 + L2)
- Signed oracle updates
- Configurable update intervals
- MetaMask wallet integration (no private key exposure)
- Web UI with wallet signing
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
nanopy_oracle-1.3.6.tar.gz
(20.9 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file nanopy_oracle-1.3.6.tar.gz.
File metadata
- Download URL: nanopy_oracle-1.3.6.tar.gz
- Upload date:
- Size: 20.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.13.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
3d89264bf1a95d324eab1ea06f9976f0a555501974d0db3e62775b11a4ddd991
|
|
| MD5 |
911fb0ed81bcd85ac7d2e32701cd8853
|
|
| BLAKE2b-256 |
989d6364c4bd581f35090057618fff79ed09ed5e4db6a661c843475d8f060d21
|
File details
Details for the file nanopy_oracle-1.3.6-py3-none-any.whl.
File metadata
- Download URL: nanopy_oracle-1.3.6-py3-none-any.whl
- Upload date:
- Size: 24.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.13.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
4f9643fba40ece200c6cf09f161d461216ae7813604e873cce9310fd40944a6f
|
|
| MD5 |
2e14b07e84ca077e77fcea000c892d0e
|
|
| BLAKE2b-256 |
bebc33031646ff13331695f4fb58e0adf869f4705f0d3b52845a42edfc79a81b
|