.DkNUKaKx_ZLAT4m.webp?dpl=dpl_8HEqtKuwnGbB35r29przGyCDjeeL){kind=small}
Connectors / Data and analytics · HTTP Connector
Automate Adverity with Tray.ai
Start a fetch and create a tag in Adverity. Connect Adverity to the rest of your data and analytics stack with Tray.ai.
What can you do with Adverity on Tray.ai?
Adverity is a marketing data platform that pulls data from hundreds of ad and marketing sources, harmonizes it, and loads it into a company's data warehouse. Tray.ai connects to Adverity through the HTTP Connector, so your workflows can call the Adverity API alongside the rest of your stack.
- Start a fetch in Adverity when a new campaign goes live, so its data lands in your warehouse sooner.
- List jobs each morning and alert the data team in team chat about any that failed.
- Retry a job in Adverity when the data team marks a failed load as safe to rerun.
- Connects through
- HTTP Connector
- Authentication
- A bearer token
- Base URL
- https://{instance}/api
Set it up
Connect Adverity to Tray.ai
Each step uses Adverity's own API details, from its documentation.
Step 1
Save Adverity's API token
Save the token Adverity issues as a Tray.ai authentication. The HTTP Client sends it as a bearer token on every call. The token stays out of the workflow and out of the logs.
Step 2
Point the HTTP Client at the API
Add an HTTP Client step and use https://{instance}/api as the base URL. Or paste a cURL example from Adverity's API docs, and Tray.ai fills in the method, URL, and headers.
Step 3
Start with “List datastreams”
It's one of 18 documented actions, under Datastreams. The response comes back as data the next step can map into your other apps.
Step 4
Hand it to an AI agent
Wrap “Update a datastream” and “Start a fetch” in workflows, and Tray.ai's Agent Gateway for MCP publishes them as governed tools Claude and other AI agents can call.
Give your AI agents Adverity tools
Build an MCP server on Adverity in Agent Gateway and choose which actions your agents can call. Every call runs with access control and an audit trail. How Agent Gateway works
- List datastreams
- List jobs
- List tags
- List users
- List errors
- Update a datastream
- Delete a datastream
- Start a fetch
What the Adverity API covers
5 resources and 18 documented actions, each one a call the HTTP Connector can make from a Tray.ai workflow. Connecting it takes a few clicks: here's how.
Datastreams
- List datastreams
- Update a datastream
- Delete a datastream
- Start a fetch
Jobs
- List jobs
- Get a job
- Retry a job
- Stop a job
Datastream tags
- List tags
- Create a tag
- Rename a tag
- Delete a tag
Users
- List users
- Create a user
- Update a user
- Delete a user
Errors
- List errors
- Retry an error
Checked against Adverity's own documentation on 2026-11-07
How Tray.ai makes this work
Adverity plugs into the whole Tray.ai platform
Intelligent Integration
Integrate and automate across 11,000+ apps, databases, APIs, and services with visual workflows, error handling, and observability.
Learn more →Agent Builder
Build AI agents that read, write, and take action in Adverity — with guardrails, audit, and human-in-the-loop.
Learn more →Agent Gateway for MCP
Expose Adverity actions as governed MCP tools — observable, rate-limited, authenticated.
Learn more →Tray Helix
Build apps on Adverity data with your AI assistant, then deploy, run, and govern them on Tray.ai.
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 Adverity?
+
The Adverity API documents 18 actions across 5 resources (Datastreams, Jobs, Datastream tags, Users, Errors). For example: List datastreams; List jobs; List tags. A workflow can make any documented call through the HTTP Connector.
How does Tray.ai authenticate with Adverity?
+
The Adverity API uses a bearer token. You save it once as a Tray.ai authentication, and the HTTP Connector adds it to every request.
See Adverity working against your stack.
We'll walk through a tailored demo with your systems plugged in.
Thanks — someone from our team will be in touch soon.