Deepgram
Deepgram is an enterprise voice AI platform that provides speech-to-text, text-to-speech, and voice agent APIs powered by advanced AI models. The platform offers real-time and batch transcription through its Nova model family, natural-sounding speech synthesis through its Aura model family, and an end-to-end Voice Agent API that combines STT, LLM orchestration, and TTS into a single real-time interface.
Solid contracts, transparent operations, and an easy start — typically complete on four or five facets with one clear soft spot.
API Evangelist profiles Deepgram the way a machine reads it — 108 machine-readable artifacts across 12 APIs, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.
Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Deepgram scores 63.4/100 (strong), with a separate agent-readiness read of 54/100 (agent ready). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.
Kin Score
This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.
How we profile Deepgram
Each block below is one kind of artifact we hold for Deepgram. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.
APIs 12
Each API is captured as its own OpenAPI definition — every operation, parameter, and response. This is the single most useful machine-readable description of what an API does, and it's what lets us score, lint, mock, and generate against it without asking the provider for anything.
Individual APIs this provider publishes, each with its own machine-readable definition.
Deepgram Voice Agent API
The Deepgram Voice Agent API is an end-to-end solution that combines speech-to-text, LLM orchestration, and text-to-speech into a single real-time API. It simplifies the develop...
Deepgram Balances API
Retrieve billing balance information for projects.
Deepgram Invitations API
Manage project invitations.
Deepgram Keys API
Create, list, and manage API keys for projects.
Deepgram Members API
Manage project team members.
Deepgram Models API
Retrieve available model metadata.
Deepgram Pre-Recorded API
Transcribe pre-recorded audio files or audio from URLs.
Deepgram Projects API
Manage Deepgram projects and project settings.
Deepgram Scopes API
Manage member scopes and permissions within projects.
Deepgram Text Intelligence API
Analyze text content for summarization, sentiment, topics, and intents.
Deepgram Text-To-Speech API
Convert text into natural-sounding speech audio.
Deepgram Usage API
Retrieve usage data and request logs for projects.
Scroll within the panel for all 12 ·
Postman Collections 3
A runnable collection turns the contract into something a developer can execute in seconds. We profile them because the fastest way to trust an API is to make a real call against it.
Ready-to-run Postman collections for exercising this provider's APIs.
Deepgram Management API
POSTMANDeepgram Speech-to-Text API
POSTMANDeepgram Text-to-Speech API
POSTMANOpen Collections 3
Open, tool-agnostic collections carry the same runnable value as Postman without locking you to one client — the portable, forkable form of the same exercise.
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
Deepgram Management API
OPEN COLLECTIONDeepgram Speech-to-Text API
OPEN COLLECTIONDeepgram Text-to-Speech API
OPEN COLLECTIONArazzo Workflows 10
Real integrations are rarely a single call. Arazzo describes the multi-step sequences — auth, then create, then confirm — so both a human and an agent can follow the choreography, not just the endpoints.
Multi-step API workflows described with the Arazzo specification.
Deepgram Audit Project Usage and Billing
Pull a project's details, usage summary, request log, and billing balances into a single audit snapshot.
ARAZZODeepgram Balance-Gated Transcription
Check a project's billing balance and only transcribe audio when sufficient credit remains.
ARAZZODeepgram Diarized Transcript Intelligence
Transcribe a multi-speaker recording with diarization, then run targeted text intelligence over the transcript.
ARAZZODeepgram Invite and Confirm a Project Member
Send a project invitation, confirm it appears in the pending invitation list, and list current members.
ARAZZODeepgram Provision a Project API Key
Create a new project, mint a scoped API key for it, and verify the key appears in the project key list.
ARAZZODeepgram Rotate a Project API Key
Mint a replacement API key in a project, verify it, then delete the old key to complete a rotation.
ARAZZODeepgram Select a Model and Transcribe
Browse available models, read the metadata for a chosen model, then transcribe audio with that model.
ARAZZODeepgram Transcribe, Analyze, and Synthesize
Transcribe audio to text, run text intelligence on the transcript, then synthesize a spoken response.
ARAZZODeepgram Transcribe Audio and Track Usage
Transcribe a pre-recorded audio URL and then reconcile the request against project usage and request logs.
ARAZZODeepgram Update a Member's Scopes
Locate a project member, read their current scopes, update them, and confirm the new scopes took effect.
ARAZZOScroll within the panel for all 10 ·
GraphQL 1
Where a provider ships GraphQL, the schema is the contract. We profile it alongside the REST surface so the whole interface is legible in one place.
GraphQL schemas published by this provider.
Deepgram GraphQL Schema
This document describes the conceptual GraphQL schema for the Deepgram AI voice platform, covering speech-to-text transcription, text-to-speech synthesis, voice agent capabiliti...
GRAPHQLPricing Plans 1
Pricing is part of the interface. Machine-readable plans tell you what a tier costs and includes before you commit — one of the six things the Kin Score reads for commercial clarity.
Published pricing tiers and plan structures.
Rate Limits 1
Rate limits are the difference between a demo that works and a production integration that doesn't fall over. Publishing them is an operational-transparency signal — and a hard requirement for any agent that plans its own throughput.
Documented rate limits and quota policies.
Deepgram Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals let a buyer model the financial operations of an API before it's live. We profile them for the same reason we profile pricing: the money is part of the contract.
Cost, billing, and metering signals for API financial operations.
Deepgram Finops
FINOPSFeatures 16
The notable capabilities this provider advertises, captured as structured features so they can be searched and compared instead of read one landing page at a time.
Notable capabilities this provider offers.
Scroll within the panel for all 16 ·
Event Specifications 3
Not every API is request/response. AsyncAPI describes the event-driven and streaming side — the webhooks and channels — so the asynchronous half of the interface is documented the same way the synchronous half is.
AsyncAPI definitions for this provider's event-driven and streaming APIs.
Deepgram Speech-to-Text Streaming Events
The Deepgram Speech-to-Text streaming API provides real-time transcription of audio using a WebSocket connection. Audio data is sent as binary WebSocket messages and transcripti...
ASYNCAPIDeepgram Text-to-Speech Streaming Events
The Deepgram Text-to-Speech streaming API provides real-time speech synthesis over a WebSocket connection. Text is sent as JSON messages and audio data is returned as binary Web...
ASYNCAPIDeepgram Voice Agent Events
The Deepgram Voice Agent API is an end-to-end solution that combines speech-to-text, LLM orchestration, and text-to-speech into a single real-time WebSocket API. It simplifies b...
ASYNCAPISemantic Vocabularies 1
JSON-LD contexts give the data shared meaning across APIs. We profile them because semantics are what let a machine reconcile 'customer' here with 'customer' somewhere else.
JSON-LD contexts and semantic vocabularies used across these APIs.
Deepgram Context
JSON-LDSpectral Rules 5
Governance rulesets we run against this provider's specs — the automated checks behind parts of the score. Profiling them makes the quality bar explicit and re-runnable, not a matter of opinion.
Deepgram API Rules
SPECTRALDeepgram API Rules
SPECTRALDeepgram API Rules
SPECTRALDeepgram API Rules
SPECTRALDeepgram API Rules
SPECTRALJSON Schema 47
Standalone JSON Schema definitions describe the data models behind the API. We profile them so the shapes are validatable on their own — useful long after a single request is forgotten.
Standalone JSON Schema definitions for this provider's data models.
Alternative
JSON SCHEMAAudioUrlRequest
JSON SCHEMABalance
JSON SCHEMABalanceList
JSON SCHEMAChannel
JSON SCHEMAError
JSON SCHEMAIntent
JSON SCHEMAIntentResults
JSON SCHEMAIntentSegment
JSON SCHEMAInvitation
JSON SCHEMAInvitationCreate
JSON SCHEMAInvitationList
JSON SCHEMAKey
JSON SCHEMAKeyCreate
JSON SCHEMAKeyList
JSON SCHEMAKeyWithSecret
JSON SCHEMAMember
JSON SCHEMAMemberList
JSON SCHEMAMetadata
JSON SCHEMAModel
JSON SCHEMAModelInfo
JSON SCHEMAModelList
JSON SCHEMAParagraph
JSON SCHEMAParagraphGroup
JSON SCHEMAProject
JSON SCHEMAProjectList
JSON SCHEMAProjectUpdate
JSON SCHEMARequestList
JSON SCHEMAResults
JSON SCHEMAScopeList
JSON SCHEMAScopeUpdate
JSON SCHEMASentence
JSON SCHEMASentimentAverage
JSON SCHEMASentimentResults
JSON SCHEMASentimentSegment
JSON SCHEMASpeakRequest
JSON SCHEMASummary
JSON SCHEMATextAnalysisRequest
JSON SCHEMATextAnalysisResponse
JSON SCHEMATopic
JSON SCHEMATopicResults
JSON SCHEMATopicSegment
JSON SCHEMADeepgram Transcript
JSON SCHEMATranscriptionResponse
JSON SCHEMAUsageSummary
JSON SCHEMAUtterance
JSON SCHEMAWord
JSON SCHEMAScroll within the panel for all 47 ·
JSON Structure 1
JSON Structure captures the data shapes in a form built for tooling — a complement to JSON Schema that keeps the model machine-legible.
JSON Structure definitions describing this provider's data shapes.
Deepgram Structure
JSON STRUCTURESecurity Posture 2
Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Agentic Access 1
An x-agentic-access contract marks which operations are safe for an agent to run on its own and which need a human in the loop. It is the difference between an API an agent can use and one it can use safely.
Recommended x-agentic-access execution contracts for AI agents.
Resources
Every other property we hold for Deepgram — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.
Documentation 3
Reference material describing how the API behaves
Agent Surfaces 2
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 12
Pagination, idempotency, versioning, errors, and events
Scroll within the panel for all 12 ·
Build 3
SDKs, sample code, and the tooling you integrate with
Access & Security 3
Authentication, authorization, and security posture
Operate 1
Status, limits, changes, and where to get help
Commercial 3
Pricing, plans, and the legal terms of use
Company 2
The organization behind the API
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