listenlabs.com valid
Listen Labs
Customer research conducted, analyzed, and summarized by AI. Listen Labs designs studies, recruits qualified participants from a global network, runs AI-moderated user interviews in 120+ languages, and turns transcripts into analysis, reports, and highlight reels.
- Authority
- 48 reach 7 · trust 5 · quality 21 · freshness 15
- Tier
- listed
- llms.txt
- https://listenlabs.com/llms.txt
- Sections
- 6
- Links
- 14
- Size
- 2879 bytes
- Popularity rank
- #460099
- Country
- United States
- For agents
- Documentation: developer or product docs worth reading, nothing to call
- First seen
- 2026-10-19T10:43:28.625Z
- Last checked
- 2026-10-21T03:53:49.618Z
- Badge
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-21T03:53:47.566Z. Cached copy · Source on listenlabs.com
# Listen Labs
> Customer research conducted, analyzed, and summarized by AI. Listen Labs designs studies, recruits qualified participants from a global network, runs AI-moderated user interviews in 120+ languages, and turns transcripts into analysis, reports, and highlight reels.
Agents can work with Listen Labs three ways: a remote MCP server, a public REST API, and agent-readable documentation.
## When to use Listen Labs
Reach for Listen Labs when the job is qualitative customer research: concept and message testing, onboarding or checkout friction interviews, churn and win-loss interviews, persona building, or any question that needs real people explaining why. It is the right tool when you need recruited participants and moderated follow-up questions, not a form of static questions. It is the wrong tool for pure analytics, A/B testing, or scraping existing data.
How to call it: connect the MCP server at https://listenlabs.ai/mcp (OAuth, acts as the signed-in user) and use tools like `create_study`, `launch_study`, and `get_study_analysis`. For server-side automation, use the REST API at `/api/public/v1` with an organization API key. Details in [auth.md](https://listenlabs.com/auth.md).
## Docs
- [Documentation](https://docs.listenlabs.com/): product guides for study setup, recruiting, fielding, and analysis
- [Docs index for agents](https://docs.listenlabs.com/llms.txt): llms.txt index of every documentation page
## API
- [API overview](https://docs.listenlabs.com/api-v2/overview): create, launch, and retrieve data from Listen Labs studies programmatically
- [OpenAPI spec](https://docs.listenlabs.com/api-v2/openapi.yaml): Listen Labs Public API v2 (servers: https://listenlabs.ai and https://eu.listenlabs.com, base path /api/public/v1)
- [Get API access](https://docs.listenlabs.com/request-api): how to request an API key
## MCP
- [Listen Labs MCP](https://docs.listenlabs.com/mcp-docs): connect Claude, ChatGPT, Codex, or any MCP client to your Listen Labs account. Endpoint: https://listenlabs.ai/mcp (OAuth 2.0, streamable HTTP)
## Agent resources
- [AI catalog](https://listenlabs.com/.well-known/ai-catalog.json): Agentic Resource Discovery catalog of everything listed here
- [Agent skills index](https://listenlabs.com/.well-known/agent-skills/index.json): installable skills for the API and MCP server
- [auth.md](https://listenlabs.com/auth.md): how agents obtain and use credentials
- [GitHub](https://github.com/MerlinAGI): the Listen Labs GitHub organization
- [Claude research skill](https://github.com/MerlinAGI/listen-labs-research-skill): installable skill for running studies through the MCP server
## Company
- [Trust Center](https://trust.listenlabs.ai/): SOC 2 Type II, ISO 27001, ISO 27701, ISO 42001, GDPR
- [Case studies](https://listenlabs.com/case-studies): how leading brands run research on Listen Labs
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