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Connectors / AI · HTTP Connector

Automate Deepgram with Tray.ai

Convert text to speech, create an agent configuration and update a project in Deepgram, and start a workflow when Deepgram sends “Transcription completed”.

What can you do with Deepgram on Tray.ai?

Deepgram is a voice AI platform that turns recorded or live audio into text, generates speech from text, analyzes text, and runs voice agents. Tray.ai connects to Deepgram through the HTTP Connector, so your workflows can call the Deepgram API alongside the rest of your stack.

  • When Deepgram sends “Transcription completed”, attach the transcript to the call record in your CRM.
  • Transcribe pre-recorded audio from support calls and add the text to the ticket in your help desk.
  • Get project usage each month and send the totals to finance for cost tracking.
Connects through
HTTP Connector
Authentication
An API key in a request header
Base URL
https://api.deepgram.com/v1

Set it up

Connect Deepgram to Tray.ai

Each step uses Deepgram's own API details, from its documentation.

Step 1

Save Deepgram's API key

Save the key as a Tray.ai authentication. The HTTP Client puts it in the request header, read from $.auth. The key 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.deepgram.com/v1 as the base URL. Or paste a cURL example from Deepgram's API docs, and Tray.ai fills in the method, URL, and headers.

Step 3

Start with “List agent configurations”

It's one of 19 documented actions, under Voice agents. The response comes back as data the next step can map into your other apps.

Step 4

Start workflows from Deepgram events

Give Deepgram the URL of a Tray.ai webhook trigger. “Transcription completed” can then start a workflow.

Give your AI agents Deepgram tools

Build an MCP server on Deepgram 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

  • Transcribe pre-recorded audio
  • Convert text to speech
  • Create an agent configuration
  • List projects
  • List project keys
  • Get project usage
  • Transcribe live audio
  • Stream text to speech

What the Deepgram API covers

6 resources and 19 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.

Speech to text

  • Transcribe pre-recorded audio
  • Transcribe live audio

Text to speech

  • Convert text to speech
  • Stream text to speech

Voice agents

  • Create an agent configuration
  • List agent configurations
  • Update agent metadata
  • Delete an agent configuration

Projects

  • List projects
  • Get a project
  • Update a project
  • Delete a project

API keys

  • List project keys
  • Create a project key
  • Delete a project key

Usage and billing

  • Get project usage
  • Get usage breakdown
  • Get project balances
  • List project requests

Events Deepgram can send to a Tray.ai webhook trigger

  • Transcription completed

Checked against Deepgram's own documentation on 2026-10-22

developers.deepgram.com/reference/deepgram-api-overview

Frequently asked questions

What can a Tray.ai workflow do in Deepgram?

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The Deepgram API documents 19 actions across 6 resources (Speech to text, Text to speech, Voice agents, Projects, API keys, Usage and billing). For example: Transcribe pre-recorded audio; Convert text to speech; Create an agent configuration. A workflow can make any documented call through the HTTP Connector.

How does Tray.ai authenticate with Deepgram?

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The Deepgram 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.

Which Deepgram events can start a Tray.ai workflow?

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Deepgram sends one event to a webhook URL, for example: Transcription completed. A Tray.ai webhook trigger receives them and starts a workflow.

See Deepgram working against your stack.

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