Useful Sensors

Useful Sensors, now operating as Moonshine AI, builds fast, low-resource, private-by-design AI that runs entirely on-device. Founded by former Google TensorFlow leads Pete Warden (CEO) and Manjunath Kudlur (CTO), the company started with plug-and-play hardware like the Person Sensor and Tiny Code Reader and now ships Moonshine, an MIT-licensed family of low-latency speech-to-text, text-to-speech, and intent-recognition models with SDKs for in-browser JavaScript, server-side Python, and C++ on edge devices. There is no hosted cloud API — all speech processing happens locally on the device.

Useful Sensors is profiled on the APIs.io network. Tagged areas include Company, Ai Ml, Speech-to-Text, Text-to-Speech, and Voice.

Useful Sensors’ developer surface includes documentation, getting-started guide, support, CLI, changelog, and 8 more developer resources.

🌐 Visit website 📡 Source on GitHub
18.1/100 emerging ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-08-20 · rubric v0.12.0
0 APIs
CompanyAi MlSpeech-to-TextText-to-SpeechVoiceEdge AIOn-Device AIMachine-LearningOpen-Source

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-08-20 · rubric v0.12.0
Composite quality — 18.1/100 · emerging
Contract Quality 0.0 / 25
Developer Ergonomics 10.0 / 20
Access Clarity 0.0 / 20
Operational Transparency 2.4 / 13
Contract Governance 0.0 / 12
Discoverability 5.7 / 10
Agent readiness — 0/100 · human only
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 10
Documented Reversibility 0 / 6
MCP Server 0 / 12
Machine-Readable Auth 0 / 10
Idempotency 0 / 9
Stable Error Semantics 0 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 0 / 7
Typed Event Surface 0 / 6
Agent Skills 0 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 3
A2A Agent Card 0 / 8
Dry-Run / Simulate Mode 0 / 4
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/useful-sensors: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

Security Posture 1

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Useful Sensors Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Get Started 2

Portal, sign-up, and the first successful call

DeveloperPortal
DeveloperPortal
 GettingStarted
GettingStarted

Documentation 1

Reference material describing how the API behaves

Documentation
Documentation

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt
LLMsTxt

Build 4

SDKs, sample code, and the tooling you integrate with

GitHubOrganization
GitHubOrganization
 Packages
Packages
 SDKs
SDKs
 CLI
CLI

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity
DomainSecurity

Operate 2

Status, limits, changes, and where to get help

Support
Support
 ChangeLog
ChangeLog

Company 2

The organization behind the API

Website
Website
 Website
Website

Source (apis.yml)

apis.yml Raw ↑ 
aid: useful-sensors
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/useful-sensors.png
name: Useful Sensors
description: Useful Sensors, now operating as Moonshine AI, builds fast, low-resource, private-by-design AI that runs entirely
  on-device. Founded by former Google TensorFlow leads Pete Warden (CEO) and Manjunath Kudlur (CTO), the company started with
  plug-and-play hardware like the Person Sensor and Tiny Code Reader and now ships Moonshine, an MIT-licensed family of low-latency
  speech-to-text, text-to-speech, and intent-recognition models with SDKs for in-browser JavaScript, server-side Python, and
  C++ on edge devices. There is no hosted cloud API — all speech processing happens locally on the device.
url: https://raw.githubusercontent.com/api-evangelist/useful-sensors/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- amplify-partners
- bloomberg-beta
- homebrew
x-tier: stub
x-tier-reason: portfolio-lead
x-enrichment:
  date: '2026-07-21'
  status: enriched
  artifacts_added: 6
  pass: local-v1
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-21'
tags:
- Company
- Ai Ml
- Speech-to-Text
- Text-to-Speech
- Voice
- Edge AI
- On-Device AI
- Machine-Learning
- Open-Source
tags_raw:
- Company
- Ai Ml
- Speech To Text
- Text To Speech
- Voice
- Edge AI
- On-Device AI
- Machine Learning
- Open Source
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: DomainSecurity
  url: security/useful-sensors-domain-security.yml
- type: Website
  url: https://usefulsensors.com
- type: Website
  url: https://moonshine.ai
- type: DeveloperPortal
  url: https://dev.moonshine.ai/
- type: Documentation
  url: https://dev.moonshine.ai/
- type: GettingStarted
  url: https://github.com/moonshine-ai/moonshine?tab=readme-ov-file#quickstart
- type: GitHubOrganization
  url: https://github.com/moonshine-ai
- type: Support
  url: https://discord.gg/27qp9zSRXF
- type: Packages
  url: packages/useful-sensors-packages.yml
- type: SDKs
  url: packages/useful-sensors-packages.yml
- type: CLI
  url: cli/useful-sensors-cli.yml
- type: ChangeLog
  url: changelog/useful-sensors-changelog.yml
- type: LLMsTxt
  url: llms/useful-sensors-llms.txt