OpenOracle Python SDK
Intelligent Oracle Routing for Prediction Markets
Overview
The OpenOracle Python SDK provides a comprehensive interface for building prediction markets with intelligent oracle selection and data verification. It automatically routes questions to the most appropriate oracle provider based on AI analysis, supports multiple blockchain networks, and includes built-in Twitter integration for social media prediction markets.
Key Features
- 🤖 AI-Powered Oracle Routing - Automatically selects the best oracle for any question
- 🔗 Multi-Oracle Support - Chainlink, Pyth, UMA, Band Protocol, API3, and more
- 🐦 Twitter Integration - Create prediction markets from tweets
- ⛓️ Cross-Chain Compatibility - Ethereum, Polygon, BASE, Arbitrum
- 🛡️ Type Safety - Full Pydantic validation for all data models
- ⚡ Async/Await Support - High-performance async operations
- 🔄 Automatic Retries - Robust error handling and retry logic
- 📊 Real-time Data - Live price feeds and market updates
Installation
pip install openoracle
For development dependencies:
pip install openoracle[dev]
For all optional features:
pip install openoracle[all]
Quick Start
Basic Usage
import asyncio
from openoracle import OpenOracleAPI
async def main():
# Initialize the API client
async with OpenOracleAPI() as api:
# Route a question to the best oracle
routing = await api.route_question(
"Will BTC exceed $100k by end of 2024?"
)
print(f"Selected Oracle: {routing.selected_oracle}")
print(f"Confidence: {routing.confidence_score}")
print(f"Reasoning: {routing.reasoning}")
# Get current BTC price
price = await api.get_price("BTC/USD")
print(f"Current BTC Price: ${price.price}")
# Create a prediction market
market = await api.create_prediction_market(
question="Will BTC exceed $100k by end of 2024?",
poll_id="btc-100k-2024"
)
print(f"Market created: {market['poll_id']}")
asyncio.run(main())
Configuration
Configure the SDK using environment variables:
# Core API settings
export OPENORACLE_API_KEY="your-api-key"
export OPENORACLE_BASE_URL="https://api.openoracle.ai"
# AI routing (optional)
export OPENROUTER_API_KEY="your-openrouter-key"
export OPENAI_API_KEY="your-openai-key"
# Oracle provider settings
export CHAINLINK_API_KEY="your-chainlink-key"
export PYTH_ENDPOINT="https://hermes.pyth.network"
# Blockchain RPCs
export ETH_RPC_URL="https://eth.llamarpc.com"
export POLYGON_RPC_URL="https://polygon.llamarpc.com"
Or use a configuration object:
from openoracle import OracleConfig, OpenOracleAPI
config = OracleConfig(
api_key="your-api-key",
base_url="https://api.openoracle.ai",
openrouter_api_key="your-openrouter-key",
enable_ai_routing=True
)
async with OpenOracleAPI(config) as api:
# Your code here
pass
Twitter Integration
from openoracle import OpenOracleAPI
async with OpenOracleAPI() as api:
# Analyze a tweet for prediction potential
analysis = await api.analyze_tweet(
tweet_text="I predict Tesla stock will hit $300 by Q2 2024",
author="@elonmusk"
)
print(f"Prediction detected: {analysis['has_prediction']}")
print(f"Suggested question: {analysis['suggested_question']}")
# Create market directly from tweet
market = await api.create_market_from_tweet(
tweet_text="I predict Tesla stock will hit $300 by Q2 2024",
poll_id="tesla-300-q2-2024",
author="@elonmusk"
)
Oracle Provider Usage
# Get price from specific oracle
chainlink_price = await api.get_price("ETH/USD", provider="chainlink")
pyth_price = await api.get_price("BTC/USD", provider="pyth")
# Get aggregated price from multiple oracles
aggregated_price = await api.get_price("ETH/USD") # Uses all available oracles
# Check oracle health
health = await api.get_oracle_health()
print(f"Chainlink status: {health['chainlink']['status']}")
# Get supported assets
assets = await api.get_supported_assets()
sports = await api.get_supported_sports()
Advanced Features
# Batch operations
questions = [
"Will BTC hit $100k in 2024?",
"Will ETH hit $10k in 2024?",
"Will DOGE hit $1 in 2024?"
]
routings = await api.batch_route_questions(questions)
prices = await api.batch_price_feeds(["BTC/USD", "ETH/USD", "DOGE/USD"])
# Real-time price monitoring
async def price_callback(price_data):
print(f"New price: {price_data.price}")
# This would use WebSocket connections in a real implementation
await api.subscribe_to_prices(["BTC/USD"], callback=price_callback)
Core Components
OracleRouter
The main routing engine that selects optimal oracles:
from openoracle import OracleRouter, OracleConfig
config = OracleConfig.from_env()
router = OracleRouter(config)
routing = await router.route_poll_question(
"Will the Fed raise rates in March?",
category_hint="economic"
)
Oracle Providers
Individual oracle provider interfaces:
from openoracle.providers import ChainlinkProvider, PythProvider
# Direct provider usage
chainlink = ChainlinkProvider(rpc_url="https://eth.llamarpc.com")
price_feed = await chainlink.get_price_feed("ETH/USD")
pyth = PythProvider()
pyth_price = await pyth.get_price_feed("BTC/USD")
Schema Validation
Type-safe data models using Pydantic:
from openoracle.schemas import OracleRoutingRequest, OracleProvider
request = OracleRoutingRequest(
question="Will BTC hit $100k?",
category_hint="price",
max_cost_usd=10.0,
preferred_providers=[OracleProvider.CHAINLINK, OracleProvider.PYTH]
)
Supported Oracle Providers
| Provider | Price Feeds | Sports | Weather | Events | Custom |
|---|---|---|---|---|---|
| Chainlink | ✅ | ✅ | ✅ | ✅ | ✅ |
| Pyth Network | ✅ | ❌ | ❌ | ❌ | ❌ |
| UMA Protocol | ❌ | ❌ | ❌ | ✅ | ✅ |
| Band Protocol | ✅ | ❌ | ❌ | ❌ | ✅ |
| API3 | ✅ | ❌ | ✅ | ❌ | ✅ |
Supported Blockchains
- Ethereum Mainnet
- Polygon
- BASE
- Arbitrum
- Avalanche
- Optimism
Error Handling
The SDK provides comprehensive error handling:
from openoracle.exceptions import (
RoutingError,
ProviderError,
ValidationError,
NetworkError
)
try:
routing = await api.route_question("Invalid question")
except RoutingError as e:
print(f"Routing failed: {e.message}")
print(f"Available providers: {e.available_providers}")
except ProviderError as e:
print(f"Provider {e.provider_name} failed: {e.provider_error}")
except ValidationError as e:
print(f"Validation failed: {e.field_name} = {e.field_value}")
Testing
Run the test suite:
# Install dev dependencies
pip install -e .[dev]
# Run tests
pytest
# Run tests with coverage
pytest --cov=openoracle
# Run specific tests
pytest tests/test_routing.py
Examples
See the /examples directory for complete examples:
- basic_usage.py - Getting started examples
- twitter_integration.py - Social media prediction markets
- price_monitoring.py - Real-time price feeds
- custom_oracles.py - Building custom oracle integrations
- batch_operations.py - Efficient batch processing
API Reference
Complete API documentation is available at docs.openoracle.ai
Main Classes
OpenOracleAPI- Main API clientOracleRouter- Core routing engineTwitterAnalyzer- Social media integrationOracleConfig- Configuration management
Key Methods
route_question()- Route questions to optimal oraclesget_price()- Get asset pricescreate_prediction_market()- Create new marketsanalyze_tweet()- Analyze social media contentget_oracle_health()- Check oracle status
Contributing
We welcome contributions! Please see CONTRIBUTING.md for guidelines.
Development Setup
git clone https://github.com/openoracle/python-sdk
cd python-sdk
# Create virtual environment
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
# Install in development mode
pip install -e .[dev]
# Install pre-commit hooks
pre-commit install
# Run tests
pytest
License
This project is licensed under the MIT License - see the LICENSE file for details.
Support
- Documentation: docs.openoracle.ai
- Discord: discord.gg/openoracle
- Twitter: @OpenOracleHQ
- Email: team@openoracle.ai
Roadmap
- Additional oracle providers (DIA, Tellor, Supra)
- GraphQL API support
- Advanced analytics and insights
- Mobile SDK (React Native)
- Telegram/Discord bot integration
- Governance token integration
- Cross-chain message passing
Built with ❤️ by the OpenOracle Team
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