Deepgram provides AI-powered speech recognition and understanding services, offering APIs for real-time and pre-recorded audio transcription, text-to-speech, and audio intelligence.
Retrieve metadata for a specific Deepgram model by its UUID. Returns detailed model information including name, architecture, supported languages, version, and capabilities. Works for both STT (speech-to-text) and TTS (text-to-speech) models.
Retrieves aggregated usage statistics for a Deepgram project including total audio duration, billable duration, number of requests, channels processed, and confidence/relevance scores. Returns both overall totals and breakdowns by model/accessor/tag. Use this to analyze API consumption, track costs, or monitor transcription quality metrics over time.
Retrieve metadata on all public Deepgram models (speech-to-text and text-to-speech). Returns comprehensive model information including supported languages, architectures, versions, and capabilities. Set include_outdated to True to include deprecated versions.
Tool to list all Deepgram projects. Use after authenticating with your API key.
Tool to list all scopes for a specified Deepgram project. Use when you need to retrieve all permission scopes for a project.
Tool to list available think models for AI agent processing and voice agent configuration. Use when you need to see which think models are available for voice agents.
Tool to convert text into natural-sounding speech. Use when you need TTS audio from text inputs.
Tool to transcribe pre-recorded audio files into text. Use when converting a publicly accessible audio file URL to text. Primary transcript is at `results.channels[0].alternatives[0].transcript` in the response. Silent audio returns a valid empty transcript, not an error. Verify supported models and language codes via `DEEPGRAM_GET_MODELS` when uncertain.
The Deepgram integration connects your Dench AI CRM directly to Deepgram, so agents can read and act on your Deepgram data as part of everyday work — answering questions in chat, keeping your CRM in sync, and running automations without anyone copying data between tools.
8 actions are available for agents to invoke on your behalf. Every call runs through Deepgram's own authorization, scoped to the account you connect.
Sign in to your Dench workspace and open Integrations.
Find Deepgram and click Connect — you'll authorize access through Deepgram's own sign-in flow. No API keys or code required.
Ask an agent to use Deepgram in chat, or call it from an automation.
Manage or disconnect the connection any time from workspace settings.
The Dench Deepgram integration connects your AI CRM to Deepgram, so AI agents can work with your Deepgram data as part of chats, automations, and CRM workflows. You connect your account once, and every agent in your workspace can use it — governed by your workspace permissions.
The Deepgram integration currently exposes 8 actions, including Get Model by ID, Get Project Usage Summary, Get Public Models, List Deepgram Projects, List Project Scopes, and List Think Models. Agents invoke them on your behalf from chat or from automations.
No. You connect Deepgram from your Dench workspace using Deepgram's own sign-in and authorization flow — no API keys to copy, no glue code to maintain.
Connections are authorized through Deepgram's own authentication flow, and Dench stores only the authorization needed to act on your behalf. You can review and disconnect the Deepgram connection from your workspace settings at any time.