# Using Databar

- [Databar basics](https://docs.databar.ai/using-databar/databar-basics.md)
- [How credits & actions work](https://docs.databar.ai/using-databar/databar-basics/how-credits-and-actions-work.md): Learn how to manage and spend your data credits on Databar
- [Debug Requests](https://docs.databar.ai/using-databar/databar-basics/debug-requests.md): Here's how you can debug requests via the data logs button in your table
- [Authorization & API keys](https://docs.databar.ai/using-databar/databar-basics/authorization-and-api-keys.md): Here's how authorization works on Databar with API keys, OAuth, and add your own key
- [Data sources](https://docs.databar.ai/using-databar/data-sources.md)
- [Custom APIs & Integrations](https://docs.databar.ai/using-databar/data-sources/custom-apis-and-integrations.md): This document explains how you can add your own APIs to your Databar workspace
- [External data sources](https://docs.databar.ai/using-databar/data-sources/external-data-sources.md)
- [Scheduling Requests](https://docs.databar.ai/using-databar/data-sources/external-data-sources/scheduling-requests.md)
- [Webhooks](https://docs.databar.ai/using-databar/data-sources/webhooks.md): Connect webhooks to Databar for automated enrichments & data pulls.
- [Upload a CSV](https://docs.databar.ai/using-databar/data-sources/upload-a-csv.md): Enhance your own data with CSV Upload
- [Enrichments](https://docs.databar.ai/using-databar/enrichments.md): Enhance your datasets with enrichments.
- [Run conditions](https://docs.databar.ai/using-databar/enrichments/run-conditions.md): Run enrichments only when a set of conditions match pre-defined rules.
- [How enrichments work](https://docs.databar.ai/using-databar/enrichments/how-enrichments-work.md): Here's how you can use enrichments to automate data entry via Databar
- [Scheduling & Automating enrichments](https://docs.databar.ai/using-databar/enrichments/scheduling-and-automating-enrichments.md): Automate your enrichments
- [Destinations](https://docs.databar.ai/using-databar/destinations.md): Find out the different ways of sharing data through Databar!
- [Access tables via API](https://docs.databar.ai/using-databar/destinations/access-tables-via-api.md): Extract table data via a REST API
- [Google Sheets](https://docs.databar.ai/using-databar/destinations/google-sheets.md): Exporting data to Google Sheets
- [Coda.io](https://docs.databar.ai/using-databar/destinations/coda.io.md): Exporting data to Coda docs
- [Templates](https://docs.databar.ai/using-databar/templates.md)
- [Charts, plots and maps](https://docs.databar.ai/using-databar/charts-plots-and-maps.md): Create visualizations with your data that update automatically.
- [Chrome extension](https://docs.databar.ai/using-databar/chrome-extension.md): Scrape data from any website with our custom web-scraper
- [n8n Integration](https://docs.databar.ai/using-databar/n8n-integration.md): Connect the full power of Databar to n8n.


---

# 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://docs.databar.ai/using-databar.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.