# Databar Docs

## Docs

- [Add a column to a table](https://docs.databar.ai/api-reference/endpoint/columns-create.md): Create a new column on a table. Type defaults to 'text'.
- [Delete a column from a table](https://docs.databar.ai/api-reference/endpoint/columns-delete.md): Delete a column from a table by its UUID.
- [Rename a column](https://docs.databar.ai/api-reference/endpoint/columns-rename.md): Rename an existing column on a table.
- [Create a custom API connector](https://docs.databar.ai/api-reference/endpoint/connectors-create.md): Registers a new custom HTTP API endpoint as a connector in your workspace. Once created the connector appears as an enrichment/exporter you can use in tables.
- [Delete custom connector](https://docs.databar.ai/api-reference/endpoint/connectors-delete.md): Permanently removes a custom API connector and its associated data.
- [Get custom connector info](https://docs.databar.ai/api-reference/endpoint/connectors-get.md): Retrieve details of a specific custom API connector.
- [List custom API connectors](https://docs.databar.ai/api-reference/endpoint/connectors-list.md): Returns all custom API connectors configured in your workspace.
- [Update custom connector](https://docs.databar.ai/api-reference/endpoint/connectors-update.md): Replaces the configuration of an existing custom API connector.
- [Run bulk enrichment](https://docs.databar.ai/api-reference/endpoint/enrichments-bulk-run.md): Submits a bulk enrichment run for the specified enrichment ID.
- [Get a specific enrichment](https://docs.databar.ai/api-reference/endpoint/enrichments-get.md): Retrieve detailed information about a specific enrichment by its ID.
- [Get available enrichments](https://docs.databar.ai/api-reference/endpoint/enrichments-list.md): Retrieves enrichments available on Databar. Use the search parameter to filter results by keyword.
- [Get choices for a parameter](https://docs.databar.ai/api-reference/endpoint/enrichments-param-choices.md): Returns paginated choices for a select/mselect parameter. Use the `q` parameter to search, and `page`/`limit` for pagination.
- [Run single enrichment](https://docs.databar.ai/api-reference/endpoint/enrichments-run.md): Executes an enrichment task with the provided parameters.
- [Get a specific exporter](https://docs.databar.ai/api-reference/endpoint/exporters-get.md): Retrieve detailed information about a specific exporter by its ID, including its input parameters and output fields.
- [Get available exporters](https://docs.databar.ai/api-reference/endpoint/exporters-list.md): Retrieves exporters (CRM/destination integrations) available on Databar.
- [Create a folder](https://docs.databar.ai/api-reference/endpoint/folders-create.md): Create a new folder to organize tables.
- [Delete a folder](https://docs.databar.ai/api-reference/endpoint/folders-delete.md): Delete a folder. Tables in the folder are NOT deleted, they are moved to the root level.
- [List all folders](https://docs.databar.ai/api-reference/endpoint/folders-list.md): List all folders in your workspace.
- [Move a table into or out of a folder](https://docs.databar.ai/api-reference/endpoint/folders-move-table.md): Move a table into a folder, or remove it from its current folder.
- [Rename a folder](https://docs.databar.ai/api-reference/endpoint/folders-rename.md): Rename an existing folder.
- [Delete rows from table](https://docs.databar.ai/api-reference/endpoint/rows-delete.md): Delete specific rows from a table by their UUIDs.
- [Get table rows](https://docs.databar.ai/api-reference/endpoint/rows-get.md): Get rows from a table with pagination and optional filtering.
- [Add rows to table](https://docs.databar.ai/api-reference/endpoint/rows-insert.md): Add rows to a table in batch. Uses human-readable column names.
- [Update rows in table by ID](https://docs.databar.ai/api-reference/endpoint/rows-update.md): Update specific fields in multiple rows at once. Uses human-readable column names.
- [Upsert rows by key values](https://docs.databar.ai/api-reference/endpoint/rows-upsert.md): For each row, match on a single **key** column:
- [Add enrichment to table](https://docs.databar.ai/api-reference/endpoint/tables-add-enrichment.md): Add an enrichment to a table by its UUID.
- [Add exporter to table](https://docs.databar.ai/api-reference/endpoint/tables-add-exporter.md): Add an exporter (CRM/destination) to a table by its UUID.
- [Add waterfall to table](https://docs.databar.ai/api-reference/endpoint/tables-add-waterfall.md): Add a waterfall to a table by its UUID. A waterfall tries multiple data providers in sequence until one returns a result.
- [Create a table](https://docs.databar.ai/api-reference/endpoint/tables-create.md): Create a new table in your workspace. Optionally specify a name, column names, and number of empty rows. By default the table is created with columns column1/column2/column3 and 0 rows.
- [Delete a table](https://docs.databar.ai/api-reference/endpoint/tables-delete.md): Permanently delete a table and all its rows by UUID.
- [Get table columns](https://docs.databar.ai/api-reference/endpoint/tables-get-columns.md): Get a tables columns by its ID.
- [Get enrichments in table](https://docs.databar.ai/api-reference/endpoint/tables-get-enrichments.md): List all enrichments configured on a table. Returns enrichment IDs, parameter mappings, and status for each enrichment attached to the specified table.
- [Get exporters in table](https://docs.databar.ai/api-reference/endpoint/tables-get-exporters.md): Get all exporters installed on a table. Use the returned `id` with `POST /v1/table/{uuid}/run-enrichment/{id}` to run.
- [Get waterfalls in table](https://docs.databar.ai/api-reference/endpoint/tables-get-waterfalls.md): Get all waterfalls installed on a table. Use the returned `id` with `POST /v1/table/{uuid}/run-enrichment/{id}` to run.
- [Get all workspace tables](https://docs.databar.ai/api-reference/endpoint/tables-list.md): Retrieves all tables currently in your workspace, including their name, created date, and identifiers.
- [Rename a table](https://docs.databar.ai/api-reference/endpoint/tables-rename.md): Rename a table by its UUID.
- [Run enrichment in table](https://docs.databar.ai/api-reference/endpoint/tables-run-enrichment.md): Run a specific enrichment or waterfall on a table.
- [Get task data or status](https://docs.databar.ai/api-reference/endpoint/tasks-get-status.md): Retrieve the data (or results) of an enrichment run by the task id. If the request is still processing, the status field will show a 'processing' status, if the request is completed, your data will be returned in the 'data' key. The task_id is provided as a response when you launch an enrichment tas…
- [Get user info](https://docs.databar.ai/api-reference/endpoint/user-me.md): Get information about your current account.
- [Run bulk waterfall](https://docs.databar.ai/api-reference/endpoint/waterfalls-bulk-run.md): Submits a bulk waterfall run for the specified waterfall identifier with custom enrichments. The enrichments field specifies which data providers to use for the waterfall. Please note: data is stored in our systems for 24 hours. After 24 hours, all data and requests made via enrichments and waterfal…
- [Get a specific waterfall](https://docs.databar.ai/api-reference/endpoint/waterfalls-get.md): Retrieve detailed information about a specific waterfall by its identifier.
- [Get available waterfalls](https://docs.databar.ai/api-reference/endpoint/waterfalls-list.md): Retrieves a list of all waterfalls available on Databar.
- [Run a waterfall task](https://docs.databar.ai/api-reference/endpoint/waterfalls-run.md): Executes a waterfall task with the provided parameters and enrichments. The enrichments field specifies which data providers to use for the waterfall. Please note: data is stored in our systems for 24 hours. After 24 hours, all data and requests made via enrichments and waterfalls will be removed an…
- [Introduction](https://docs.databar.ai/api-reference/introduction.md): Databar.ai REST API reference
- [CLI Reference](https://docs.databar.ai/cli.md): The Databar CLI lets you run enrichments, manage tables, and automate workflows directly from your terminal or AI agent.
- [Enrich a list of leads](https://docs.databar.ai/guides/enrich-leads.md): Pull company data, emails, and phone numbers for a batch of leads using the Databar API.
- [Table enrichment pipeline](https://docs.databar.ai/guides/table-enrichment-pipeline.md): Create a table, add rows, attach an enrichment, and run it across all rows with a few API calls.
- [Waterfall email finder](https://docs.databar.ai/guides/waterfall-email-finder.md): Find verified emails by trying multiple data providers in sequence with automatic fallback.
- [Build with Databar](https://docs.databar.ai/index.md): Enrich, transform, and manage your data programmatically with the Databar API, SDK, CLI, or MCP server.
- [Configuration](https://docs.databar.ai/mcp-configuration.md): Environment variables, safe mode, caching, and task data retention for the Databar MCP server
- [MCP Server (Beta)](https://docs.databar.ai/mcp-server.md): Connect AI assistants like Claude to Databar's enrichment API
- [Bulk Enrichment](https://docs.databar.ai/mcp-skill-bulk.md): Enrich a list of up to 100 records in a single operation with inline results
- [Single Enrichment](https://docs.databar.ai/mcp-skill-enrichment.md): Look up a person, company, email, or phone number using the best matching enrichment
- [Table-Driven Enrichment](https://docs.databar.ai/mcp-skill-table.md): Create a table, insert rows, attach an enrichment, run it, and get a shareable link
- [Waterfall Enrichment](https://docs.databar.ai/mcp-skill-waterfall.md): Try multiple data providers in sequence to maximize success rate
- [Agent Skills](https://docs.databar.ai/mcp-skills.md): Pre-built workflow skills that teach AI agents how to use Databar
- [Available Tools](https://docs.databar.ai/mcp-tools.md): Complete list of MCP tools exposed by the Databar MCP server
- [AI prompts](https://docs.databar.ai/product-guide/ai-prompts.md): Generate and reuse AI prompt templates across your workspace.
- [AI Researcher](https://docs.databar.ai/product-guide/ai-researcher.md): Use AI agents to research and enrich your data from across the web.
- [Authorization & API keys](https://docs.databar.ai/product-guide/authorization.md): How authentication works for data providers on Databar.
- [Automations](https://docs.databar.ai/product-guide/automations.md): Schedule and automate your enrichment runs.
- [Chrome extension](https://docs.databar.ai/product-guide/chrome-extension.md): Scrape data from any website and send it directly to Databar.
- [Credits & billing](https://docs.databar.ai/product-guide/credits-and-billing.md): How credits and actions work on Databar, and how to manage your usage.
- [Custom APIs & connectors](https://docs.databar.ai/product-guide/custom-apis.md): Add your own REST APIs to Databar for custom enrichments and exports.
- [Debug requests](https://docs.databar.ai/product-guide/debug-requests.md): Use data logs to troubleshoot enrichment errors and API issues.
- [Deduplication](https://docs.databar.ai/product-guide/deduplication.md): Remove duplicate rows from your tables, manually or automatically.
- [Enrichments](https://docs.databar.ai/product-guide/enrichments.md): Automatically populate your tables with data from third-party providers.
- [Exporters](https://docs.databar.ai/product-guide/exporters.md): Push data from your Databar tables to external destinations.
- [Folders](https://docs.databar.ai/product-guide/folders.md): Organize your tables into folders within your workspace.
- [Excel formulas](https://docs.databar.ai/product-guide/formulas.md): Use familiar spreadsheet formulas directly in your Databar tables.
- [Google Sheets extension](https://docs.databar.ai/product-guide/google-sheets-extension.md): Run Databar enrichments and waterfalls directly inside Google Sheets.
- [Import data](https://docs.databar.ai/product-guide/import-data.md): Bring data into Databar from CSV files, integrations, or webhooks.
- [Invite your team](https://docs.databar.ai/product-guide/invite-your-team.md): Add team members to your workspace so you can collaborate on tables, enrichments, and data workflows.
- [JQ formulas](https://docs.databar.ai/product-guide/jq-formulas.md): Parse, filter, and manipulate JSON fields using JQ expressions.
- [JSON expander](https://docs.databar.ai/product-guide/json-expander.md): Extract values from JSON columns into separate, usable columns.
- [Merge columns](https://docs.databar.ai/product-guide/merge-columns.md): Combine multiple columns into one using smart fallback logic.
- [n8n integration](https://docs.databar.ai/product-guide/n8n-integration.md): Connect Databar to n8n workflows for enrichments, waterfalls, and table operations.
- [Run conditions](https://docs.databar.ai/product-guide/run-conditions.md): Control which rows get enriched using conditional expressions.
- [Send data between tables](https://docs.databar.ai/product-guide/send-between-tables.md): Move rows from one table to another within your workspace.
- [Split text to columns](https://docs.databar.ai/product-guide/split-text.md): Split combined values into separate columns by a delimiter.
- [Table lookup](https://docs.databar.ai/product-guide/table-lookup.md): Pull matching values from another table, like VLOOKUP in a spreadsheet.
- [Tables](https://docs.databar.ai/product-guide/tables-overview.md): How to create, configure, and work with tables in Databar.
- [Waterfalls](https://docs.databar.ai/product-guide/waterfalls.md): Chain multiple data providers with automatic fallback for maximum coverage.
- [Webhooks](https://docs.databar.ai/product-guide/webhooks.md): Receive data from external services into your Databar tables automatically.
- [What is Databar?](https://docs.databar.ai/product-guide/what-is-databar.md): A spreadsheet-style platform for working with APIs and go-to-market data — no technical skills required.
- [Workspace settings](https://docs.databar.ai/product-guide/workspace-settings.md): Configure your workspace, manage API keys, and set preferences.
- [Python SDK](https://docs.databar.ai/python-sdk.md): Install the official Databar Python SDK and start enriching data in minutes.
- [Quickstart](https://docs.databar.ai/quickstart.md): Choose how you want to use Databar and make your first call in minutes.
- [MCP Quickstart](https://docs.databar.ai/quickstart-mcp.md): Connect Databar to Claude, Cursor, or any MCP-compatible AI tool in under 2 minutes.
- [REST API Quickstart](https://docs.databar.ai/quickstart-rest.md): Make your first Databar API call in under 5 minutes.

## OpenAPI Specs

- [openapi](https://docs.databar.ai/api-reference/openapi.json)

## Optional

- [Databar.ai](https://databar.ai)