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Connectors / Data and analytics · HTTP Connector
Automate Databox with Tray.ai
Create a data source, create a dataset and create a metric in Databox. Connect Databox to the rest of your data and analytics stack with Tray.ai.
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What can you do with Databox on Tray.ai?
Databox is a business analytics tool that pulls metrics from many sources into dashboards, called Databoards, for tracking marketing, sales, and company performance. Tray.ai connects to Databox through the HTTP Connector, so your workflows can call the Databox API alongside the rest of your stack.
- Connects through
- HTTP Connector
- Authentication
- An API key in a request header
- Base URL
- https://api.databox.com/v2
What the Databox API covers
6 resources and 24 documented actions, each one a call the HTTP Connector can make from a Tray.ai workflow.
Data sources
- List data sources
- Create a data source
- Update a data source
- Delete a data source
Datasets
- List datasets
- Create a dataset
- Ingest records
- Get dataset records
- Purge a dataset
- Delete a dataset
Metrics
- List metrics
- Create a metric
- Update a metric
- Delete a metric
Databoards
- List Databoards
- Get Databoard metrics
Users
- List users
- Create a user
- Update a user
- Delete a user
Accounts
- List accounts
- Create an account
- Update an account
- Delete an account
Checked against Databox's own documentation on 2026-10-22
How Tray.ai makes this work
Databox plugs into the whole Tray.ai platform
Intelligent Integration
Integrate and automate across 700+ connectors with visual workflows, error handling, and observability.
Learn more →Agent Builder
Build AI agents that read, write, and take action in Databox — with guardrails, audit, and human-in-the-loop.
Learn more →Agent Gateway for MCP
Expose Databox actions as governed MCP tools — observable, rate-limited, authenticated.
Learn more →More data and analytics apps on Tray.ai
Dedicated connectors and other apps Tray.ai reaches in the same category. See every data and analytics connector →
Frequently asked questions
What can a Tray.ai workflow do in Databox?
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The Databox API documents 24 actions across 6 resources (Data sources, Datasets, Metrics, Databoards, Users, Accounts). For example: List data sources; List datasets; List metrics. A workflow can make any documented call through the HTTP Connector.
How does Tray.ai authenticate with Databox?
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The Databox API uses an API key in a request header. You save it once as a Tray.ai authentication, and the HTTP Connector adds it to every request.
See Databox working against your stack.
We'll walk through a tailored demo with your systems plugged in.
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