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 contract indexed on the APIs.io network: Public API. Tagged areas include Company, Artificial Intelligence, Market Research, Customer Research, and User Interviews.

Listen Labs’ developer surface includes engineering blog, documentation, API reference, getting-started guide, signup flow, support, YouTube channel, and 24 more developer resources.

🌐 Visit website 📡 Source on GitHub

49.6/100 developing ▬ flat Agent 52/100 agent ready Front door AI 5/6 prominent saas Full breakdown ↓
scored 2026-10-09 · rubric v0.23.0

2 published contracts 1 MCP Servers

Company Artificial Intelligence Market Research Customer ResearchUser InterviewsSurveys Qualitative Research Voice AI Insights Agents

What this lets a business do 1

Business capabilities this provider's published APIs can perform, derived from its own contracts. Browse all capabilities →

Marketing Management

BC-400

Public

Kin Score

Kin Score How this is scored →
scored 2026-10-09 · rubric v0.23.0

Composite quality — 49.6/100 · developing

Contract Quality 9.5 / 19

Developer Ergonomics 9.6 / 15

Access Clarity 7.5 / 15

Operational Transparency 1.0 / 10

Contract Governance 1.6 / 9

Discoverability 5.0 / 8

Regulatory Posture 4.1 / 15

Create-or-Update Ergonomics 2.8 / 10

Agent readiness — 52/100 · agent ready

Machine-Readable Contract 18 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

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 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 6 / 6

Protected Resource Metadata 5 / 5

Registration Without a Human 6 / 6

Agentic Commerce Well-Known Document 0 / 5

Regulatory Posture applies to this provider. Its tags matched the Horizontal (data, software, accessibility, platform) regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

Create-or-Update Ergonomics applies to this provider. This API accepts writes, so it carries 10 points of the composite. It is scored from the published contracts themselves: whether a caller can create-or-update in one call, whether the write accepts a key the caller already holds, and whether the response says which branch ran. Without that, every write needs a search-and-branch in front of it, and the first time that check is skipped a duplicate record is created. Scored against the observed mean rather than raw — a provider at the catalog average is unchanged by this facet, not penalised by it.

The six quality facets above are damped to 75 points between them, because the conditional facet above carries the other 25. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 75% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. 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. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

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.

Open Collections 2

Open, tool-agnostic API collections (OpenAPI-derived and Bruno).

API Collection

OPEN COLLECTION

Listen Labs API — Study Data Public API

OPEN COLLECTION

MCP Servers 1

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

Listen Labs

Remote MCP server at listenlabs.ai over HTTP; 11 tools listed.

MCP SERVER

OpenAPI Overlays 2

Overlays applied on top of this provider's contracts. Each card says who wrote it: a document the provider publishes, or one API Evangelist derived or generated.

Listen Labs Study Data Overlay

9 actions · documentation · listen-labs-study-data-openapi.json

UNRECORDED

Listen Labs V2 Overlay

8 actions · documentation · listen-labs-v2-openapi.yml

UNRECORDED

Security Posture 3

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

Listen Labs Authentication

apiKey · 1 scheme

SECURITY

Listen Labs Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Listen Labs Trust Center

SOC 2 Type II, ISO 27001, ISO 27701, ISO 42001, GDPR

SECURITY

Resources

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 4

The organization behind the API

Blog

Website

Blog

Careers

Other 2

Properties that don't map to a standard resource type

CapabilityMap

CapabilityMap

Overlay

Overlay

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
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: true
  label: Hosted service · you call their endpoint
  confidence: high
  source:
  - openapi
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - authentication
  - security
  generated: '2026-09-03'
  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: '0.23'
created: '2026-07-17'
modified: '2026-10-06'
x-docs-platform: mintlify
x-docs-platform-confidence: medium
x-docs-platform-checked: 2026-10-03
tags:
- Company
- Artificial Intelligence
- Market Research
- Customer Research
- User Interviews
- Surveys
- Qualitative Research
- Voice AI
- Insights
- Agents
tags_raw:
- 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
  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:
- url: https://listenlabs.ai/blog
  type: Blog
- type: CapabilityMap
  url: capabilities/listen-labs-capability-edges.yml
  name: Listen Labs Business Capability Map
- type: Overlay
  url: overlays/listen-labs-study-data-overlay.yaml
- 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

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