Listen Labs

Listen Labs is an AI-powered customer research platform that runs AI-moderated user interviews end to end: you define a research goal and a study guide, Listen recruits and screens participants from its panel or your own list, conducts multilingual voice interviews with an AI moderator, and then analyzes the transcripts into themes, segments, executive summaries, video highlight reels, and sourced quotes. The platform is programmable through a public REST API that lets you create a draft study from a JSON study guide, launch it to obtain a self-recruit link, and pull back responses, answers, transcripts, and per-question analysis. Listen Labs also publishes an officially hosted remote MCP server with OAuth 2.1 so agents in Claude, ChatGPT, and Codex can create, edit, launch, and analyze studies conversationally.

Listen Labs publishes 1 API on the APIs.io network: Public API. Tagged areas include Company, Ai, Market Research, Customer Research, and User Interviews.

Listen Labs’ developer surface includes documentation, API reference, getting-started guide, signup flow, support, engineering blog, YouTube channel, and 21 more developer resources.

🌐 Visit website 📡 Source on GitHub

51.1/100 developing ▬ flat Agent 55/100 agent ready Full breakdown ↓
scored 2026-08-10 · rubric v0.9.1

AccessSelf serve

1 APIs 1 MCP Servers

CompanyAiMarket ResearchCustomer ResearchUser InterviewsSurveysQualitative ResearchVoice AIInsightsAgents

Kin Score

Kin Score How this is scored →
scored 2026-08-10 · rubric v0.9.1

Composite quality — 51.1/100 · developing

Contract Quality 14.7 / 25

Developer Ergonomics 13.5 / 20

Commercial Clarity 10.0 / 20

Operational Transparency 1.7 / 13

Governance 2.5 / 12

Discoverability 8.7 / 10

Agent readiness — 55/100 · agent ready

Machine-Readable Contract 18 / 18

Agentic Access Contract 0 / 10

MCP Server 12 / 12

Machine-Readable Auth 10 / 10

Idempotency 0 / 9

Stable Error Semantics 8 / 8

Request/Response Examples 7 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 5 / 5

Well-Known Catalog 4 / 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/listen-labs: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

APIs 1

Individual APIs this provider publishes, each with its own machine-readable definition.

Listen Labs Public API

The Public API from Listen Labs — 9 operation(s) for public.

MCP Servers 1

Model Context Protocol servers that expose these APIs to AI agents.

Get Started 3

Portal, sign-up, and the first successful call

DeveloperPortal

DeveloperPortal

GettingStarted

GettingStarted

SignUp

SignUp

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

Agent Surfaces 4

MCP servers, agent skills, and machine-readable catalogs

MCPServer

AgentSkill

LLMsTxt

WellKnown

Design & Contract 5

Pagination, idempotency, versioning, errors, and events

Conventions

ErrorCatalog

Lifecycle

Conformance

DataModel

Build 2

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Packages

Packages

Access & Security 4

Authentication, authorization, and security posture

TrustCenter

Compliance

Authentication

DomainSecurity

Learn 1

Tutorials, courses, talks, and written guidance

YouTube

YouTube

Operate 2

Status, limits, changes, and where to get help

Support

Support

Deprecation

Deprecation

Commercial 2

Pricing, plans, and the legal terms of use

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Company 3

The organization behind the API

Website

Website

Blog

Blog

Careers

Careers

Source (apis.yml)

aid: listen-labs
name: Listen Labs
description: 'Listen Labs is an AI-powered customer research platform that runs AI-moderated user interviews end to end: you
  define a research goal and a study guide, Listen recruits and screens participants from its panel or your own list, conducts
  multilingual voice interviews with an AI moderator, and then analyzes the transcripts into themes, segments, executive summaries,
  video highlight reels, and sourced quotes. The platform is programmable through a public REST API that lets you create a
  draft study from a JSON study guide, launch it to obtain a self-recruit link, and pull back responses, answers, transcripts,
  and per-question analysis. Listen Labs also publishes an officially hosted remote MCP server with OAuth 2.1 so agents in
  Claude, ChatGPT, and Codex can create, edit, launch, and analyze studies conversationally.'
url: https://raw.githubusercontent.com/api-evangelist/listen-labs/refs/heads/main/apis.yml
accessModel:
  pricing: unknown
  onboarding: self-serve
  trial: false
  try_now: false
  public: false
  label: Self-serve signup
  confidence: medium
  source:
  - authentication
  generated: '2026-07-22'
  method: derived
image: https://framerusercontent.com/images/RGXJ1tjBzZi8qrkze1vrTFOQw.webp
x-type: company
x-source: vc-portfolio
x-backed-by:
- ribbit-capital
x-tier: enriched
x-tier-reason: public-api-openapi-mcp
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-19'
tags:
- Company
- Ai
- Market Research
- Customer Research
- User Interviews
- Surveys
- Qualitative Research
- Voice AI
- Insights
- Agents
apis:
- aid: listen-labs:listen-labs-public-api
  name: Listen Labs Public API
  description: The Public API from Listen Labs — 9 operation(s) for public.
  humanURL: https://docs.listenlabs.ai/endpoint
  baseURL: https://listenlabs.ai
  tags:
  - Public
  properties:
  - type: OpenAPI
    url: openapi/listen-labs-public-api-openapi.yml
  - type: Documentation
    url: https://docs.listenlabs.ai/data-map
  - type: Documentation
    url: https://docs.listenlabs.ai/api-v2/overview
  - type: Quickstart
    url: https://docs.listenlabs.ai/api-v2/quickstart
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: TrustCenter
  url: security/listen-labs-trust-center.yml
- type: Website
  url: https://www.listenlabs.ai
- type: DeveloperPortal
  url: https://docs.listenlabs.ai
- type: Documentation
  url: https://docs.listenlabs.ai
- type: APIReference
  url: https://docs.listenlabs.ai/api-v2/overview
- type: GettingStarted
  url: https://docs.listenlabs.ai/api-v2/quickstart
- type: SignUp
  url: https://listenlabs.ai/auth
- type: Support
  url: mailto:support@listenlabs.ai
- type: Blog
  url: https://blog.listenlabs.ai
- type: TermsOfService
  url: https://www.listenlabs.ai/terms
- type: PrivacyPolicy
  url: https://www.listenlabs.ai/privacy
- type: Compliance
  url: https://trust.listenlabs.ai
- type: GitHubOrganization
  url: https://github.com/MerlinAGI
- type: Careers
  url: https://www.listenlabs.ai/careers
- type: YouTube
  url: https://www.youtube.com/@ListenLabsAI
- type: Authentication
  url: authentication/listen-labs-authentication.yml
- type: MCPServer
  url: mcp/listen-labs-mcp.yml
- type: AgentSkill
  url: skills/_index.yml
- type: LLMsTxt
  url: llms/listen-labs-llms.txt
- type: WellKnown
  url: well-known/listen-labs-well-known.yml
- type: Packages
  url: packages/listen-labs-packages.yml
- type: Conventions
  url: conventions/listen-labs-conventions.yml
- type: ErrorCatalog
  url: errors/listen-labs-problem-types.yml
- type: Lifecycle
  url: lifecycle/listen-labs-lifecycle.yml
- type: Deprecation
  url: lifecycle/listen-labs-lifecycle.yml
- type: Conformance
  url: conformance/listen-labs-conformance.yml
- type: DataModel
  url: data-model/listen-labs-data-model.yml
- type: DomainSecurity
  url: security/listen-labs-domain-security.yml
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence