Dialogue AI

Dialogue AI is an AI-native customer and market research platform, founded in 2025 and backed by a Lightspeed Venture Partners seed round, that helps product, design, and research teams uncover customer needs, test ideas, and capture authentic feedback through adaptive AI-moderated interviews. The platform automates the research workflow end to end — study design, participant recruitment (including a Prolific partnership), AI-led interviewing across multiple research formats, and real-time reporting and insight synthesis — so organizations can make agile, data-driven decisions aligned with real-world market changes. Dialogue AI is a web application (app.dialogueai.com) rather than a public developer API provider; this profile captures its company identity and public web properties for the API Evangelist network.

Dialogue AI is profiled on the APIs.io network. Tagged areas include Company, Market Research, Customer Research, User Research, and Artificial Intelligence.

Dialogue AI’s developer surface includes engineering blog, support, signup flow, and 11 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

11.5/100 emerging ▬ flat Agent 0/100 human only Front door AI 5/6 prominent Heartbeat 75/100 alive saas Full breakdown ↓
scored 2026-11-13 · rubric v0.28.0 · Show this score on your site →

0 APIs

Company Market Research Customer Research User Research Artificial Intelligence AI Interviews Voice of Customer Product Discovery Insights

Kin Score

Kin Score How this is scored →
scored 2026-11-13 · rubric v0.28.0

Composite quality — 11.5/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 1.2 / 17

Access Clarity 5.4 / 17

Operational Transparency 0.0 / 11

Contract Governance 0.0 / 10

Discoverability 4.1 / 9

Regulatory Posture 1.1 / 15

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

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Pagination 5 / 5

Distinct Operations 3 / 3

MCP Tool Quality 6 / 6

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 could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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Agent readiness — checks not met, largest first (exact, from this profile):

Machine-Readable Contract +18 pts — api_specs includes an OpenAPI document Ask about this →
MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship Ask about this →
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author Ask about this →
Machine-Readable Auth +10 pts — a served openid-configuration/oauth-authorization-server carrying `issuer` (served), else the securitySchemes class in the provider OpenAPIs — bound (mutualTLS, DPoP, Signature) > negotiable (oauth2 authorizationCode/clientCredentials, openIdConnect) > bearer (http bearer, apiKey) Ask about this →
Idempotency +9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented) Ask about this →
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes Ask about this →

13 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Contract Quality scores 0.0 — up to +25.0 composite points Ask about this →
Developer Ergonomics scores 7.1 — up to +18.6 composite points Ask about this →
Access Clarity scores 31.9 — up to +13.6 composite points Ask about this →

Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.

Not sure how this applies to your stack? Ask about any one item. Kin Lane reads every question, looks at your profile and your situation, and replies with what a fix would take — scoped to that one area, priced up front, yours whether you ship it or not. Ask a question →

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 the provider profile at artifacts.apis.io/dialogue-ai/apis.yml: open an issue on github.com/api-evangelist/dialogue-ai to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Markets this provider is in provisional

The Kin Score Market layer reads a provider inside its market: its position, and how deep its integrations go. Depth is only comparable within a position. Provisional and unweighted: not part of the Kin Score or agent readiness.

Market	Position	Depth	Registered MCP server	Declares compatibility
Surveys, Market Research and Experience Management	undeclared	-	-	-

Registered MCP server and declares compatibility are report only — not weighted. Undeclared means we found nothing we can read, so there is no number: we never infer integrations.

Terms of Service 1

What its API terms permit and prohibit, quoted from its own page.

Dialogue AI

7 quoted statements, read from Dialogue AI's own page on 2026-11-09.

TERMS

Privacy & Data 1

Its role, the data it processes, retention and transfers, quoted from its own privacy page.

Dialogue AI

23 quoted statements, read from Dialogue AI's own page on 2026-11-09.

PRIVACY

Eligibility 1

Who may sign up and where, quoted from its own terms.

Dialogue AI

2 quoted statements, read from Dialogue AI's own page on 2026-11-09.

ELIGIBILITY

AI Preferences 1

Its stance on AI training, inference and agents, quoted from its own pages.

Dialogue AI

2 quoted statements, read from Dialogue AI's own page on 2026-11-09.

AI PREFS

Data License 1

How its data and outputs may be reused, quoted from its own terms.

Dialogue AI

1 quoted statement, read from Dialogue AI's own page on 2026-11-09.

LICENSE

Security Posture 1

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

Dialogue AI Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

SignUp

SignUp

Documentation 1

Reference material describing how the API behaves

AIPreferences

AIPreferences

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

Support

Support

Commercial 4

Pricing, plans, and the legal terms of use

TermsOfService

PrivacyPolicy

UsageTerms

DataLicense

Company 4

The organization behind the API

Website

Website

About

About

Blog

Blog

LinkedIn

Other 2

Properties that don't map to a standard resource type

DataProcessing

DataProcessing

Eligibility

Eligibility

Source (apis.yml)

aid: dialogue-ai
name: Dialogue AI
description: Dialogue AI is an AI-native customer and market research platform, founded in 2025 and backed by a Lightspeed
  Venture Partners seed round, that helps product, design, and research teams uncover customer needs, test ideas, and capture
  authentic feedback through adaptive AI-moderated interviews. The platform automates the research workflow end to end — study
  design, participant recruitment (including a Prolific partnership), AI-led interviewing across multiple research formats,
  and real-time reporting and insight synthesis — so organizations can make agile, data-driven decisions aligned with real-world
  market changes. Dialogue AI is a web application (app.dialogueai.com) rather than a public developer API provider; this
  profile captures its company identity and public web properties for the API Evangelist network.
url: https://raw.githubusercontent.com/api-evangelist/dialogue-ai/refs/heads/main/apis.yml
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: medium
  source:
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - security
  generated: '2026-11-13'
  method: derived
image: https://www.dialogueai.com/images/og_image.png
x-type: company
x-source: vc-portfolio
x-backed-by:
- lightspeed-venture-partners
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-18'
tags:
- Company
- Market Research
- Customer Research
- User Research
- Artificial Intelligence
- AI Interviews
- Voice of Customer
- Product Discovery
- Insights
apis: []
common:
- type: DomainSecurity
  url: security/dialogue-ai-domain-security.yml
- type: Website
  url: https://dialogueai.com/
- type: About
  url: https://dialogueai.com/about
- type: Blog
  url: https://dialogueai.com/blog
- type: Support
  url: https://dialogueai.com/contact
- type: TermsOfService
  url: https://dialogueai.com/terms-of-service
- type: PrivacyPolicy
  url: https://dialogueai.com/privacy-policy
- type: SignUp
  url: https://app.dialogueai.com/
- type: LinkedIn
  url: https://www.linkedin.com/company/trydialogueai
- type: UsageTerms
  url: terms/dialogue-ai-terms-of-service.yml
- type: DataProcessing
  url: privacy/dialogue-ai-privacy-policy.yml
- type: Eligibility
  url: eligibility/dialogue-ai-eligibility.yml
- type: AIPreferences
  url: ai-preferences/dialogue-ai-ai-preferences.yml
- type: DataLicense
  url: data-license/dialogue-ai-data-license.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

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