# Provenance Tools

Provenance is one of the core initiatives/tools of [Fact Protocol](https://fact.technology/provenance). Provenance is proposed as an open standard to establish provenance for free-flowing information on the web. The goal is to equip consumers with the ability to fact-check and validate the information they see online.

Provenance proposes a group of structured data markup (Schema.org compliant) tags and variants to cater to the variety of content delivery platforms such as fact-checking portals, news websites/apps, search engines, social media networks, etc. Access more details below.

### **factProvenanceTag (News Article)**

With Fact Provenance Tag, News publishers can provide transparency and establish the original sources for the factual information they cover in their news articles, allowing readers to access and verify the sources themselves. Provenance Tag for News articles is similar to Provenance Tag for Fact-checks, but for news articles, it is quite straightforward because publishers only add the original/primary sources for the news they are covering in their articles.

Examples of original/primary sources include official press releases, interviews, public speeches, scientific journals, etc.

**The advantages of News Article Provenance Tag:**

1. Facilitates transparency.
2. Increases trust in publishers.
3. Enhances the user experience: By providing a source of information, it enhances the user experience, as users can now consume highly trusted information instead of unreliable or questionable content.
4. Provenance recording on Blockchain for immutability and retrievability with integrity. Example of this use case is detailed in the "[On-chain Structured Data](/docs/on-chain-structured-data.md)" section.

<figure><img src="/files/7Jdh6RNuibfX62dOII4T" alt=""><figcaption></figcaption></figure>


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://provenance-ai.gitbook.io/docs/provenance-tools.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.