Skip to main content

Rumorz.io official Python SDK

Project description

Rumorz Logo

🚀 What is Rumorz?

Rumorz tracks 100s of sources across the web and financial markets to extract investments insights and sentiment analytics. We index a large amount of web data in real-time and use AI Agents to save you time reading, staying up to date, and identifying trends and investment opportunities.

How does it work?

AI Agents read and analyze web data 24/7 and ingest 100s of pages of text a day into a knowledge graph, allowing social and semantic analysis at state of the art performance.

Rumorz architecture

🛠️ Install

pip install rumorz

🚀 Vision

Rumorz provides investors and traders their own AI agent, aligned with their goals and preferences and with 24/7 access to real-time, institutional grade financial data and analytics.

🧠 How does it work?

The Graph

Our AI Agents ingest 100s of pages of text a day into a knowledge graph (the Graph), allowing fast semantic retrieval of market data and text data from news, research, social media. The Graph indexes data on 1200 crypto tokens in real-time, making it available to agents for research or decision making.

This is ideal for AI use cases, and has been built from scratch without the constraints of legacy tables or complicated joins.

Agents

Agents are autonomous and run research and analysis for you 24/7. You don’t need to prompt them or think of questions to ask. You can simply give them a goal, and they will go from there. They will start doing research and analysis and come up with a strategy to achieve your goal.

🔒 API Access

Email othmane@rumorz.io with "Rumorz API KEY" in the subject line.

✅ Features

  • Screener: a ranking of all entities in the Rumorz Graph by social metrics (mentions, sentiment, excitement, optimism, pessimism, fear, uncertainty, surprise')
  • Real-time updates: Get real-time updates on the cryptomarket or specific entities
  • Tick-level time-series data: get real-time amd historical sentiment data for all entities in the Graph
  • Annotated news: Get news articles related to any entity with sentiment and AI annotations
  • Search: search and find financial assets, companies or people in the Rumorz Graph
  • Copilot: An Agent with knowledge of the Rumorz Python package that can generate custom scripts for you

📚 Use cases

  • AI Agents
  • Market monitoring and alerts
  • Sentiment based 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.

🚀 Examples

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-0.1.14.tar.gz (12.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

rumorz-0.1.14-py3-none-any.whl (12.6 kB view details)

Uploaded Python 3

File details

Details for the file rumorz-0.1.14.tar.gz.

File metadata

  • Download URL: rumorz-0.1.14.tar.gz
  • Upload date:
  • Size: 12.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.3

File hashes

Hashes for rumorz-0.1.14.tar.gz
Algorithm Hash digest
SHA256 6f760f4bc66fc4bf1b1a7aac5d02f2a86aca77b1bbeeec78e66051aabb15dac6
MD5 a9cc6f80aff43327dae0f1df36e36287
BLAKE2b-256 702bfea1ca68ad5fb06a7363218356f2d730f6c38bd520176e7e01abbee0be66

See more details on using hashes here.

File details

Details for the file rumorz-0.1.14-py3-none-any.whl.

File metadata

  • Download URL: rumorz-0.1.14-py3-none-any.whl
  • Upload date:
  • Size: 12.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.3

File hashes

Hashes for rumorz-0.1.14-py3-none-any.whl
Algorithm Hash digest
SHA256 afb7aa502afcf82ce31e98fce4293e0591e632cb4d98604e61bbf973f50a6f29
MD5 8f7ae86f75580f0d298463f2948d0695
BLAKE2b-256 3f6c3d2702257872d2f1cb3c4a80a93f9b5e41391bf9a08ec784b4f6bb69c860

See more details on using hashes here.

Supported by

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