Outset

Outset is an AI-powered qualitative research platform, operated by Parnassus Labs, Inc., that lets enterprise research and product teams run large-scale AI-moderated interviews across video, voice, and text in 85+ countries and many languages. Its AI moderators conduct conversational interviews, an AI-driven synthesis layer produces summaries, themes, quotes, and highlight reels, and a Visual Intelligence suite analyzes visual cues during sessions. The platform includes participant recruitment against a large panel plus an AI fraud-detection agent. Customers include Microsoft, HubSpot, Nestle, Glassdoor, Coinbase, and Indeed. Outset publishes SOC 2 Type II, ISO 42001, HIPAA, and GDPR compliance posture but exposes no public developer API, documentation, or developer portal at this time.

Outset is profiled on the APIs.io network. Tagged areas include Company, Research, User Research, Qualitative Research, and Artificial Intelligence.

Outset’s developer surface includes engineering blog, pricing, support, and 9 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

21.9/100 emerging ▬ flat Agent 12/100 agent aware Front door AI 6/6 dominant Heartbeat 79/100 alive saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

AccessEnterprise

0 APIs 1 MCP Servers

Company Research User Research Qualitative Research Artificial Intelligence Interviews Market Research Product Research Software-as-a-Service

Kin Score

Kin Score How this is scored →
scored 2026-11-06 · rubric v0.27.0

Composite quality — 21.9/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 1.2 / 17

Access Clarity 12.8 / 17

Operational Transparency 0.0 / 11

Contract Governance 0.0 / 10

Discoverability 4.4 / 9

Regulatory Posture 2.6 / 15

Agent readiness — 12/100 · agent aware

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 12 / 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 5 / 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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<a href="https://apis.io/providers/outset/"><img src="https://apis.io/badge/outset/card.svg" alt="Outset on APIs.io — Kin Score by API Evangelist"></a>

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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
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
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)
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)
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0

11 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
Developer Ergonomics scores 7.1 — up to +18.6 composite points
Operational Transparency scores 0.0 — up to +13.0 composite points

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.

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/outset/apis.yml: open an issue on github.com/api-evangelist/outset 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	standard	17.2 (thin)	1	-

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.

Standards implemented 2

Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.

Model Context Protocol (MCP)

measured — observed by APIs.io (verified)

OAuth 2.0 Protected Resource Metadata

measured — observed by APIs.io (verified)

MCP Servers 1

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

Outset MCP Server

Remote MCP server at api.outset.ai over HTTP.

MCP SERVER

Outset API pricing

Prices published by Outset, read 2026-10-07 from outset.ai/pricing.

Plan	Price
Custom plan	Get custom pricing

Plan details, limits and sources →

Pricing Plans 1

Published pricing tiers and plan structures.

Outset Plans Pricing

1 plans

PLANS

Security Posture 2

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

Outset Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Outset Trust Center

SOC 2 Type II, ISO 42001, HIPAA, GDPR

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

Login

Access & Security 3

Authentication, authorization, and security posture

TrustCenter

TrustCenter

Compliance

Compliance

DomainSecurity

DomainSecurity

Operate 2

Status, limits, changes, and where to get help

Support

Support

HelpCenter

HelpCenter

Commercial 4

Pricing, plans, and the legal terms of use

Plans

Pricing

TermsOfService

PrivacyPolicy

Company 2

The organization behind the API

Website

Website

Blog

Blog

Source (apis.yml)

aid: outset
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: enterprise
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Enterprise
  confidence: low
  source:
  - plans
  - security
  generated: '2026-11-06'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/outset.png
name: Outset
description: Outset is an AI-powered qualitative research platform, operated by Parnassus Labs, Inc., that lets enterprise
  research and product teams run large-scale AI-moderated interviews across video, voice, and text in 85+ countries and many
  languages. Its AI moderators conduct conversational interviews, an AI-driven synthesis layer produces summaries, themes,
  quotes, and highlight reels, and a Visual Intelligence suite analyzes visual cues during sessions. The platform includes
  participant recruitment against a large panel plus an AI fraud-detection agent. Customers include Microsoft, HubSpot, Nestle,
  Glassdoor, Coinbase, and Indeed. Outset publishes SOC 2 Type II, ISO 42001, HIPAA, and GDPR compliance posture but exposes
  no public developer API, documentation, or developer portal at this time.
url: https://raw.githubusercontent.com/api-evangelist/outset/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- 8vc
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-20'
tags:
- Company
- Research
- User Research
- Qualitative Research
- Artificial Intelligence
- Interviews
- Market Research
- Product Research
- Software-as-a-Service
tags_raw:
- Company
- Research
- User Research
- Qualitative Research
- AI
- Artificial Intelligence
- Interviews
- Market Research
- Product Research
- SaaS
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Plans
  url: plans/outset-plans-pricing.yml
- type: Website
  url: https://outset.ai
- type: Blog
  url: https://outset.ai/blog
- type: Pricing
  url: https://outset.ai/pricing
- type: Login
  url: https://outset.ai/login
- type: Support
  url: https://outset.ai/resources/contact
- type: HelpCenter
  url: https://outset.ai/resources/faq
- type: TermsOfService
  url: https://outset.ai/terms-of-service
- type: PrivacyPolicy
  url: https://outset.ai/privacy-policy
- type: TrustCenter
  url: security/outset-trust-center.yml
- type: Compliance
  url: https://outset.ai/platform/security
- type: DomainSecurity
  url: security/outset-domain-security.yml
x-enrichment:
  date: '2026-07-20'
  status: enriched
  artifacts_added: 2
  pass: local-v1

Outset API — frequently asked questions

How much does the Outset API cost?

Outset publishes its prices; its Custom plan plan is Get custom pricing as of 2026-10-07. APIs.io lists 1 pricing plan for Outset, with each plan's price, limits and inclusions under Pricing on this page.

Does Outset have an MCP server?

Yes. APIs.io lists 1 MCP server for Outset: Remote MCP server at api.outset.ai over HTTP.

Is the Outset API ready for AI agents?

Outset has a Kin Score of 21.9 out of 100 (emerging) and an Agent Readiness score of 12.2 (agent-aware), scored by API Evangelist on 2026-11-06.

Work with this as data

Every provider here is available over the APIs.io API and to AI agents over MCP.

MCP server

One button, every client — Claude, Cursor, VS Code and the rest.

https://apis.io/mcp

Tools for providers

9 MCP tools reach this

find_providersBrowse and filter every provider in the catalog.
get_provider_artifactsEvery artifact this provider publishes, grouped by type.
get_provider_operationsEvery operation across all of their OpenAPIs — one call instead of parsing every spec.
get_provider_toolsEvery MCP tool they ship, with the operation each wraps.
get_provider_evidenceHow each part of their score was established. Free — the basis for a claim should not sit behind it.
get_provider_ratingPRO — composite, band, trend and facet scores.
apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
resolveTurn a domain, URL or GitHub org into the provider it belongs to.
find_cohortsEvery scored population of providers in the catalog.

All 92 tools →

Call it yourself

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Every operation they expose

curl "https://apis.io/api/v1/providers/outset/operations?limit=25"

How their score was established

curl "https://apis.io/api/v1/providers/outset/evidence"

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