Skip to main content

Rumorz.io official Python SDK

Project description

Rumorz Logo

🚀 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.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
)

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

rumorz-0.1.4.tar.gz (4.2 kB view details)

Uploaded Source

Built Distribution

rumorz-0.1.4-py3-none-any.whl (5.1 kB view details)

Uploaded Python 3

File details

Details for the file rumorz-0.1.4.tar.gz.

File metadata

  • Download URL: rumorz-0.1.4.tar.gz
  • Upload date:
  • Size: 4.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.9.6

File hashes

Hashes for rumorz-0.1.4.tar.gz
Algorithm Hash digest
SHA256 db76ef25cfa96888bb0cec608fd22fa69f0be8b2e2fbae06030ca2d97a39f0d7
MD5 22ef86a15176cbaf3a9eb8066a4d68fc
BLAKE2b-256 0f43cc926564e37b7f8f04b4cec756a0ac5da41c52487f58fcac3869d031cbd5

See more details on using hashes here.

File details

Details for the file rumorz-0.1.4-py3-none-any.whl.

File metadata

  • Download URL: rumorz-0.1.4-py3-none-any.whl
  • Upload date:
  • Size: 5.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.9.6

File hashes

Hashes for rumorz-0.1.4-py3-none-any.whl
Algorithm Hash digest
SHA256 e05f9ea0e551cf52d20a76f9c847f0e62318bb947cf1d159106fdd90f5cd9f74
MD5 89ca88485d143c70f140cf91fce15933
BLAKE2b-256 6f2136788c53b927a7e199dffb05a7d2a18a23a0a445c1e945a3b08fe809c11c

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page