🚀 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.
🛠️ Install
pip install rumorz
🗎 Documentation
Please visit the official documentation website
🔒 API Access
Sign up to Rumorz to get your API key.
🚀 Examples
1 maintainer
Metadata
1 maintainer
Release files for rumorz 0.1.15
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| rumorz-0.1.15.tar.gz | 10.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| rumorz-0.1.15-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 21.9 kB
Release files / rumorz-0.1.15.tar.gz
| Download URL | rumorz-0.1.15.tar.gz |
|---|---|
| Size | 10.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.3
|
Release files / rumorz-0.1.15-py3-none-any.whl
| Download URL | rumorz-0.1.15-py3-none-any.whl |
|---|---|
| Size | 11.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
31d3b68da9099689eff34fe696bdea6285260fa03f0f0354f89121dc141d386c
|
|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.3
|
