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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.
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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.
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 9,000+ 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?
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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?
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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.