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.
pip install rumorzSign up for an account on Rumorz and generate an API key
- Graph screener: a ranking of all entities in the Rumorz Graph by social metrics
- 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
- 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.
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.
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.SEVEN_DAYS,
screener_values=ScreenerValues.CHG,
entity_type_filter=EntityType.FINANCIAL_ASSET
)
# Rank people by social metrics
person_screener = rumorz.graph.get_screener(
lookback=Lookback.SEVEN_DAYS,
screener_values=ScreenerValues.CHG,
entity_type_filter=EntityType.PERSON
)