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Rumorz.io official Python SDK

Project description

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🚀 Rumorz Python SDK

Access a real-time knowledge graph of financial markets. Rumorz' AI agents read the news 24/7 so you don't have to and extract relevant insights and analytics for investors, traders and developers.

We provide an easy interface to access real-time knowledge and analytics on financial assets, companies, people, organizations and place.

We only cover cryptomarkets for now but will expand to stocks and other asset classes over time.

🛠️ Install

pip install rumorz

🔒 API Access

Sign up for an account on Rumorz and generate an API key

✅ Live features

  • Graph screener: a ranking of all entities in the Rumorz Graph by social metrics

🚀 Upcoming features

  • Summaries and market updates: Get real-time market updates and summaries of events over any timeframe
  • Search: find financial assets, companies or people in the Rumorz Graph
  • Entity level news: get real-time and historical news for any entity
  • AI workflows: automate summaries, reports and alerts

📚 Use cases

  • Market monitoring and alerts
  • Investment and Trading strategies
  • Financial research, analysis and alpha generation
  • Data source for AI Agents and RAG based applications
  • Social media bot development: Telegram, Discord, Twitter/X etc.
  • Workflow automation: emails, PDFs, reports etc.

🌐 Coverage

We track and extract knowledge and analytics from 100s of websites and news articles in real-time. Rumorz covers cryptocurrencies to start with, but will expand to Stocks and other asset classes based on user demand.

🚀 How to

from rumorz.client import RumorzClient
from rumorz.enums import Lookback, ScreenerValues, EntityType

API_KEY = "<YOUR_API_KEY>"
rumorz = RumorzClient(api_key=API_KEY)

# Rank financial assets by social metrics
assets_screener = rumorz.graph.get_screener(
    lookback=Lookback.ONE_WEEK,
    screener_values=ScreenerValues.CHG,
    entity_type_filter=EntityType.FINANCIAL_ASSET
)

# Rank people by social metrics
person_screener = rumorz.graph.get_screener(
    lookback=Lookback.ONE_WEEK,
    screener_values=ScreenerValues.CHG,
    entity_type_filter=EntityType.PERSON
)

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