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Connectors / Customer service · HTTP Connector
Automate Feedier with Tray.ai
Create feedback, create a report and create a segment in Feedier. Connect Feedier to the rest of your customer service stack with Tray.ai.
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What can you do with Feedier on Tray.ai?
Feedier is a customer feedback platform that collects survey and review responses, analyses them with AI and shares the findings in reports. Tray.ai connects to Feedier through the HTTP Connector, so your workflows can call the Feedier API alongside the rest of your stack.
- Create feedback for each support survey answer collected in your help desk.
- Import a CSV file of customer survey results from your data warehouse each month.
- Share a report with account owners each month so they see what their customers said.
- Connects through
- HTTP Connector
- Authentication
- A bearer token or basic authentication
- Base URL
- https://api.bx.feedier.com
Set it up
Connect Feedier to Tray.ai
Each step uses Feedier's own API details, from its documentation.
Step 1
Save Feedier's API token
Save the token Feedier 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://api.bx.feedier.com as the base URL. Or paste a cURL example from Feedier's API docs, and Tray.ai fills in the method, URL, and headers.
Step 3
Start with “List feedback”
It's one of 25 documented actions, under Feedback. The response comes back as data the next step can map into your other apps.
Step 4
Hand it to an AI agent
Wrap “Get feedback” and “Create feedback” in workflows, and Tray.ai's Agent Gateway for MCP publishes them as governed tools Claude and other AI agents can call.
What the Feedier API covers
6 resources and 25 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.
Feedback
- List feedback
- Get feedback
- Create feedback
- Delete feedback
- Bulk update feedback
Reports
- List reports
- Get a report
- Create a report
- Update a report
- Delete a report
- Share a report
Segments
- List segments
- Create a segment
- Update a segment
- Delete a segment
Users
- List users
- Create a user
- Update a user
- Delete a user
Teams
- List teams
- Get a team
- Create a team
- Update a team
Imports
- Import a CSV file
- Get an import
Checked against Feedier's own documentation on 2026-10-22
How Tray.ai makes this work
Feedier plugs into the whole Tray.ai platform
Intelligent Integration
Integrate and automate across 6,000+ 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 Feedier — with guardrails, audit, and human-in-the-loop.
Learn more →Agent Gateway for MCP
Expose Feedier actions as governed MCP tools — observable, rate-limited, authenticated.
Learn more →Tray Helix
Build apps on Feedier data with your AI assistant, then deploy, run, and govern them on Tray.ai.
Learn more →More customer service apps on Tray.ai
Dedicated connectors and other apps Tray.ai reaches in the same category. See every customer service connector →
Frequently asked questions
What can a Tray.ai workflow do in Feedier?
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The Feedier API documents 25 actions across 6 resources (Feedback, Reports, Segments, Users, Teams, Imports). For example: List feedback; List reports; List segments. A workflow can make any documented call through the HTTP Connector.
How does Tray.ai authenticate with Feedier?
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The Feedier API uses a bearer token and basic authentication. You save it once as a Tray.ai authentication, and the HTTP Connector adds it to every request.
See Feedier 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.