Nuance
Nuance Communications (NASDAQ: NUAN) is a conversational-AI and speech-recognition pioneer, acquired by Microsoft in 2022. Its self-service developer platform, Nuance Mix, provides tooling and runtime services for building conversational applications: Automatic Speech Recognition (ASRaaS), Natural Language Understanding (NLUaaS), Dialog management (DLGaaS), Text-to-Speech (TTSaaS) and grammar-based recognition (NRaaS) — all exposed as gRPC/protobuf runtime services secured with OAuth 2.0 client-credentials. Design-time tooling (Mix.nlu, Mix.dialog) and a first-party CLI (@nuance-mix/mix-cli) round out the platform. Nuance also ships Dragon speech solutions, including Dragon Medical SpeechKit for healthcare voice capture.
More than an index entry, but the surface is still mostly links rather than artifacts — the cohort most likely to move a full band from modest, well-targeted work.
API Evangelist profiles Nuance the way a machine reads it — 8 machine-readable artifacts across 5 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 — Nuance scores 26.8/100 (emerging), with a separate agent-readiness read of 21/100 (agent aware). 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.
Kin Score
How this is scored →scored 2026-07-27 · rubric v0.5
How we profile Nuance
Each block below is one kind of artifact we hold for Nuance. 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 5
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.
Nuance Mix ASRaaS gRPC API
Automatic Speech Recognition as a Service — convert speech to text in real time over a gRPC streaming API (Recognizer service), with wordsets, training and ForgetMe operations. ...
Nuance Mix NLUaaS gRPC API
Natural Language Understanding as a Service — interpret user input against NLU models built in Mix.nlu, over a gRPC Runtime service.
Nuance Mix DLGaaS gRPC API
Dialog as a Service — execute conversational dialog flows authored in Mix.dialog over a gRPC Dialog service.
Nuance Mix TTSaaS gRPC API
Text-to-Speech as a Service — turn text into synthesized speech (including neural voices) over a gRPC Synthesizer service.
Nuance Mix NRaaS gRPC API
Grammar-based recognition as a Service — grammar-driven speech recognition over a gRPC runtime service.
MCP Servers 1
Model Context Protocol servers expose these APIs directly to AI agents. We profile them because agent-native access is the fastest-growing way this provider's capabilities actually get used.
Model Context Protocol servers that expose these APIs to AI agents.
nuance-mcp.yml
MCP SERVERSecurity 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.
Resources
Every other property we hold for Nuance — 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.
Get Started 3
Portal, sign-up, and the first successful call
Documentation 2
Reference material describing how the API behaves
Agent Surfaces 2
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 2
Pagination, idempotency, versioning, errors, and events
Build 4
SDKs, sample code, and the tooling you integrate with
Access & Security 2
Authentication, authorization, and security posture
Company 1
The organization behind the API
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