# Use Cases

Archive turns years of open web content into a dataset you control. Common uses:

- **AI & machine learning** - large, structured training sets from real historical content across news, blogs, forums, and reviews.
- **Media & brand monitoring** - reconstruct full coverage of a brand, person, or topic over time, not just the last 30 days.
- **Finance & markets** - study trends, sentiment, and events to support predictive models.
- **Risk & security** - look back at how a threat, entity, or narrative developed.
- **Research** - assemble reproducible datasets for studies and benchmarks.

> [!TIP]
> Combine filters (data type, language, country, entities) to scope a dataset to exactly the slice you need. See [Building Queries](archive-query-filters).

## Gauging investor sentiment

Webz.io [Archived Web Data](https://webz.io/data-apis/archived-web-data) provides machine-readable News, Blogs, Reviews, and Discussions datasets with up to five years of history. Customize a dataset for machine-learning, NLP, and predictive-modeling work.

SESAMm, a fintech company using big data and AI for investment, used Webz.io News API data to find peaks in COVID-19 mentions across countries and identify periods where declining mentions could suggest economic recovery.

[Read how SESAMm gauged investor sentiment during a global crisis ↗](https://webz.io/blog/financial/alternative-data-will-help-predict-economic-recovery/)