Viewpoints AI

Viewpoints AI (viewpoints.ai) is a Stanford-founded research platform that runs AI jury simulations for litigation teams and AI audience panels for market researchers. Companies upload case materials or creative/marketing stimuli and a representative panel of simulated personas reads them, deliberates, and returns verdict or response distributions, the themes driving them, and per-participant reasoning — same-day, with a claimed 88% match to real studies (Stanford-validated). The Viewpoints Study API lets developers programmatically create studies, upload stimuli, poll asynchronous creation jobs, retrieve full participant results, and schedule recurring runs. SOC 2 Type II. Backed by Forerunner Ventures.

Viewpoints AI publishes 3 API contracts indexed on the APIs.io network: Studies API, Study File Uploads API, and Study Schedules API. Tagged areas include Company, Artificial Intelligence, Market Research, Synthetic Personas, and Consumer Insights.

The Viewpoints AI catalog on APIs.io includes 1 Spectral governance ruleset.

Viewpoints AI’s developer surface includes engineering blog, documentation, API reference, authentication, and 17 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

42.5/100 developing ▬ flat Agent 25/100 agent aware Front door AI 5/6 prominent Heartbeat 100/100 alive saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

1 published contract 2 Agent Skills

Company Artificial Intelligence Market ResearchSynthetic PersonasConsumer Insights LitigationJury SimulationResearch

Kin Score

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

Composite quality — 42.5/100 · developing

Contract Quality 8.5 / 19

Developer Ergonomics 6.3 / 15

Access Clarity 5.3 / 15

Operational Transparency 0.0 / 10

Contract Governance 2.9 / 9

Discoverability 5.5 / 8

Regulatory Posture 4.1 / 15

Create-or-Update Ergonomics 3.3 / 10

Agent readiness — 25/100 · agent aware

Machine-Readable Contract 18 / 18

Agentic Access Contract 10 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 10 / 10

Idempotency 0 / 9

Stable Error Semantics 8 / 8

Request/Response Examples 0 / 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 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Pagination 0 / 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 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/.

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

MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship
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)
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0
Rate-Limit Signaling +7 pts — OpenAPI responses document X-RateLimit-* / RateLimit headers (verified), else a rate_limits artifact or RateLimits link (documented)
Request/Response Examples +7 pts — share of operations carrying request/response examples; else an Examples / Code Samples link
Registration Without a Human +6 pts — a `registration_endpoint` in the served RFC 8414 / OIDC discovery document

9 more unmet checks in the Agent Readiness table above.

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

Contract Quality scores 45.3 — up to +13.7 composite points
Operational Transparency scores 0.0 — up to +13.0 composite points
Access Clarity scores 35.5 — up to +12.9 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/viewpoints-ai/apis.yml: open an issue on github.com/api-evangelist/viewpoints-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.

Standards implemented 1

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.

OpenAPI

measured — observed by APIs.io (published)

APIs 3

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

Viewpoints AI Studies API

Create studies and retrieve results

Viewpoints AI Study File Uploads API

Upload stimuli files for use in studies

Viewpoints AI Study Schedules API

Manage recurring study schedules

Open Collections 3

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

Viewpoints Study Studies API

OPEN COLLECTION

Viewpoints Study Studies Study File Uploads API

OPEN COLLECTION

Viewpoints Study Studies Study Schedules API

OPEN COLLECTION

Agent Skills 2

Packaged agent skills for driving this provider's APIs from an AI assistant.

Run a Viewpoints study and retrieve results

AGENT SKILL

Schedule a recurring Viewpoints study

AGENT SKILL

Spectral Rules 1

Spectral governance rulesets for linting and validating these APIs.

Viewpoints AI API Rules

54 rules · 50 errors 3 warnings 1 info

SPECTRAL

OpenAPI Overlays 1

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.

Viewpoints Ai Study Overlay

3 actions · update · viewpoints-ai-study-openapi.json

DERIVED

Security Posture 2

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

Viewpoints Ai Authentication

apiKey/http · 2 schemes

SECURITY

Viewpoints Ai Domain Security

TLSv1.3 · HSTS · DNSSEC · DMARC

SECURITY

Agentic Access 1

Recommended x-agentic-access execution contracts for AI agents.

Viewpoints Ai Agentic Access

7 operations · 4 acting

AGENTIC

Resources

Get Started 2

Portal, sign-up, and the first successful call

DeveloperPortal

DeveloperPortal

Login

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

Agent Surfaces 4

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

AgenticAccess

AgenticAccess

X-MCPServerCandidate

X-MCPServerCandidate

AgentSkill

AgentSkill

Design & Contract 5

Pagination, idempotency, versioning, errors, and events

ErrorCatalog

Conventions

Lifecycle

DataModel

Conformance

Access & Security 3

Authentication, authorization, and security posture

Compliance

Compliance

Authentication

Authentication

DomainSecurity

DomainSecurity

Commercial 2

Pricing, plans, and the legal terms of use

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Company 2

The organization behind the API

Blog

Blog

Website

Website

Other 1

Properties that don't map to a standard resource type

Overlay

Overlay

Source (apis.yml)

aid: viewpoints-ai
name: Viewpoints AI
description: Viewpoints AI (viewpoints.ai) is a Stanford-founded research platform that runs AI jury simulations for litigation
  teams and AI audience panels for market researchers. Companies upload case materials or creative/marketing stimuli and a
  representative panel of simulated personas reads them, deliberates, and returns verdict or response distributions, the themes
  driving them, and per-participant reasoning — same-day, with a claimed 88% match to real studies (Stanford-validated). The
  Viewpoints Study API lets developers programmatically create studies, upload stimuli, poll asynchronous creation jobs, retrieve
  full participant results, and schedule recurring runs. SOC 2 Type II. Backed by Forerunner Ventures.
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: '2026-11-06'
  method: derived
image: https://viewpoints.ai/og-image-2.png
url: https://raw.githubusercontent.com/api-evangelist/viewpoints-ai/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- forerunner-ventures
x-tier: profiled
x-tier-reason: real-api-enriched
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-10-06'
x-docs-platform: swagger-ui
x-docs-platform-confidence: medium
x-docs-platform-checked: 2026-10-17
tags:
- Company
- Artificial Intelligence
- Market Research
- Synthetic Personas
- Consumer Insights
- Litigation
- Jury Simulation
- Research
tags_raw:
- Company
- Ai
- Market Research
- Synthetic Personas
- Consumer Insights
- Litigation
- Jury Simulation
- Research
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
apis:
- aid: viewpoints-ai:viewpoints-ai-studies-api
  name: Viewpoints AI Studies API
  description: Create studies and retrieve results
  humanURL: https://api.viewpoints.ai
  baseURL: https://api.viewpoints.ai
  tags:
  - Studies
  properties:
  - type: OpenAPI
    url: openapi/viewpoints-ai-studies-api-openapi.yml
  - type: Documentation
    url: https://api.viewpoints.ai
  - type: APIReference
    url: https://api.viewpoints.ai
- aid: viewpoints-ai:viewpoints-ai-study-file-uploads-api
  name: Viewpoints AI Study File Uploads API
  description: Upload stimuli files for use in studies
  humanURL: https://api.viewpoints.ai
  baseURL: https://api.viewpoints.ai
  tags:
  - Study File Uploads
  properties:
  - type: OpenAPI
    url: openapi/viewpoints-ai-study-file-uploads-api-openapi.yml
  - type: Documentation
    url: https://api.viewpoints.ai
  - type: APIReference
    url: https://api.viewpoints.ai
- aid: viewpoints-ai:viewpoints-ai-study-schedules-api
  name: Viewpoints AI Study Schedules API
  description: Manage recurring study schedules
  humanURL: https://api.viewpoints.ai
  baseURL: https://api.viewpoints.ai
  tags:
  - Study Schedules
  properties:
  - type: OpenAPI
    url: openapi/viewpoints-ai-study-schedules-api-openapi.yml
  - type: Documentation
    url: https://api.viewpoints.ai
  - type: APIReference
    url: https://api.viewpoints.ai
common:
- url: https://viewpoints.ai/press
  type: Blog
- type: DeveloperPortal
  url: https://api.viewpoints.ai
- type: Documentation
  url: https://api.viewpoints.ai
- type: APIReference
  url: https://api.viewpoints.ai
- type: Login
  url: https://app.viewpoints.ai/
- type: TermsOfService
  url: https://viewpoints.ai/terms.html
- type: PrivacyPolicy
  url: https://viewpoints.ai/privacy.html
- type: Compliance
  url: https://viewpoints.ai/
- type: LLMsTxt
  url: llms/viewpoints-ai-llms.txt
- type: Authentication
  url: authentication/viewpoints-ai-authentication.yml
- type: AgenticAccess
  url: agentic-access/viewpoints-ai-agentic-access.yml
- type: ErrorCatalog
  url: errors/viewpoints-ai-problem-types.yml
- type: Conventions
  url: conventions/viewpoints-ai-conventions.yml
- type: Lifecycle
  url: lifecycle/viewpoints-ai-lifecycle.yml
- type: DataModel
  url: data-model/viewpoints-ai-data-model.yml
- type: X-MCPServerCandidate
  url: mcp/viewpoints-ai-mcp.yml
  note: 'Renamed from MCPServer 2026-09-03 (roadmap#247): the manifest self-describes as status: candidate — a tool list derived
    from the published API contracts, not an existing server. The scorer already read the manifest and reported mcp_server
    correctly; the MCPServer type was crediting the artifact-type surfaces with a server that does not exist.'
- type: Overlay
  url: overlays/viewpoints-ai-study-overlay.yaml
- type: Conformance
  url: conformance/viewpoints-ai-conformance.yml
- type: AgentSkill
  url: skills/_index.yml
- type: DomainSecurity
  url: security/viewpoints-ai-domain-security.yml
- type: Website
  url: https://viewpoints.ai
x-enrichment:
  date: '2026-07-21'
  status: enriched
  artifacts_added: 13
  pass: local-v1

Viewpoints AI API — frequently asked questions

Does Viewpoints AI have an API?

Yes. APIs.io lists 3 APIs from Viewpoints AI, including Viewpoints AI Studies API, Viewpoints AI Study File Uploads API and Viewpoints AI Study Schedules API.

Is there an OpenAPI specification for the Viewpoints AI API?

Yes. APIs.io indexes 3 OpenAPI specifications for Viewpoints AI, each linked for download from this page.

How do I authenticate with the Viewpoints AI API?

Viewpoints AI uses bearer-token authentication (apiKey/http · 2 schemes). The details are profiled on APIs.io as Viewpoints Ai Authentication.

Is the Viewpoints AI API ready for AI agents?

Viewpoints AI has a Kin Score of 42.5 out of 100 (developing) and an Agent Readiness score of 24.7 (agent-aware), scored by API Evangelist on 2026-11-06.

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