OneScreen AI

OneScreen AI is a data-driven out-of-home (OOH) advertising company that makes real-world media — billboards, transit, and place-based advertising — as queryable and buyable as any digital channel. It combines more than 1,500 OOH audience personas, close to one million live inventory listings, and audience-based market and inventory recommendation models. OneScreen exposes this OOH intelligence to AI agents through a public Model Context Protocol (MCP) server at https://mcp.onescreen.ai/mcp, protected by OAuth 2.1 with audience-restricted tokens, open dynamic client registration and a published 22-scope permission model — and no REST or GraphQL contract at all. Products include OneScreen Research (free public beta) and OneScreen Planner (closed beta). The company was originally surfaced as a Techstars portfolio lead and is headquartered in Boston, Massachusetts.

OneScreen AI publishes 1 API on the APIs.io network. Tagged areas include Company, Advertising, Out-of-Home, Digital Out Of Home, and AdTech.

OneScreen AI’s developer surface includes documentation, authentication, engineering blog, support, and 16 more developer resources.

🌐 Visit website 📡 Source on GitHub

29.3/100 thin ▬ flat Agent 11/100 agent aware Front door AI 1/6 silent saas Full breakdown ↓
scored 2026-09-25 · rubric v0.23.0

AccessFree

1 APIs 1 MCP Servers

Company Advertising Out-of-Home Digital Out Of Home AdTech Marketing Media AI Agents MCP Authentication Agent Readiness

Kin Score

Kin Score How this is scored →
scored 2026-09-25 · rubric v0.23.0

Composite quality — 29.3/100 · thin

Contract Quality 0.0 / 21

Developer Ergonomics 4.9 / 17

Access Clarity 9.4 / 17

Operational Transparency 0.0 / 11

Contract Governance 1.9 / 10

Discoverability 6.4 / 9

Regulatory Posture 5.1 / 15

Agent readiness — 11/100 · agent aware

Machine-Readable Contract 0 / 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 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 7 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 3 / 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

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/.

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/onescreen-ai: 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.

OneScreen MCP Server

OneScreen's only API surface: a remote Model Context Protocol server over Streamable HTTP that exposes OOH audience personas, market and inventory rankings, geospatial points of...

MCP Servers 1

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

OneScreen MCP Server

MCP SERVER

Pricing Plans 1

Published pricing tiers and plan structures.

Onescreen Ai Plans Pricing

2 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Onescreen Ai Rate Limits

0 limits

RATE LIMITS

Security Posture 2

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

Onescreen Ai Authentication

2 schemes

SECURITY

Onescreen Ai Domain Security

TLSv1.3 · DMARC

SECURITY

Scopes 1

OAuth scopes governing access to this provider's APIs.

Onescreen Ai Scopes

22 scopes

SCOPES

Resources

Get Started 1

Portal, sign-up, and the first successful call

Login

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

MCPServer

MCPServer

WellKnown

WellKnown

LLMsTxt

LLMsTxt

Design & Contract 3

Pagination, idempotency, versioning, errors, and events

Conformance

Conformance

Conventions

Conventions

Lifecycle

Lifecycle

Build 1

SDKs, sample code, and the tooling you integrate with

Packages

Packages

Access & Security 3

Authentication, authorization, and security posture

Authentication

Authentication

OAuthScopes

OAuthScopes

DomainSecurity

DomainSecurity

Operate 2

Status, limits, changes, and where to get help

RateLimits

RateLimits

Support

Support

Commercial 3

Pricing, plans, and the legal terms of use

Plans

Plans

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Company 2

The organization behind the API

Website

Website

Blog

Blog

Other 1

Properties that don't map to a standard resource type

ContentSignal

ContentSignal

Source (apis.yml)

aid: onescreen-ai
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: free
  onboarding: request-access
  trial: false
  try_now: false
  public: true
  label: Free public beta, access by request
  confidence: high
  source:
  - https://www.onescreen.ai/mcp/
  - https://mcp.onescreen.ai/.well-known/oauth-protected-resource/mcp
  generated: '2026-08-13'
  method: searched
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/onescreen-ai.png
name: OneScreen AI
description: OneScreen AI is a data-driven out-of-home (OOH) advertising company that makes real-world media — billboards,
  transit, and place-based advertising — as queryable and buyable as any digital channel. It combines more than 1,500 OOH
  audience personas, close to one million live inventory listings, and audience-based market and inventory recommendation
  models. OneScreen exposes this OOH intelligence to AI agents through a public Model Context Protocol (MCP) server at https://mcp.onescreen.ai/mcp,
  protected by OAuth 2.1 with audience-restricted tokens, open dynamic client registration and a published 22-scope permission
  model — and no REST or GraphQL contract at all. Products include OneScreen Research (free public beta) and OneScreen Planner
  (closed beta). The company was originally surfaced as a Techstars portfolio lead and is headquartered in Boston, Massachusetts.
url: https://raw.githubusercontent.com/api-evangelist/onescreen-ai/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- techstars
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-08-13'
tags:
- Company
- Advertising
- Out-of-Home
- Digital Out Of Home
- AdTech
- Marketing
- Media
- AI Agents
- MCP
- Authentication
- Agent Readiness
tags_raw:
- Company
- Advertising
- Out-of-Home
- DOOH
- Advertising Technology
- Marketing
- Media
- AI Agents
- MCP
- OAuth
- Agent Readiness
apis:
- name: OneScreen MCP Server
  description: 'OneScreen''s only API surface: a remote Model Context Protocol server over Streamable HTTP that exposes OOH
    audience personas, market and inventory rankings, geospatial points of interest, media-owner records and the plan/RFP/messaging
    marketplace workflow to any MCP-capable AI client. POST-only (GET returns 405); every call requires an OAuth 2.1 bearer
    token and the 401 advertises RFC 9728 protected-resource metadata, so a client can discover and register itself with no
    out-of-band configuration. The tool manifest (15 tools per the provider) is auth-gated.'
  humanURL: https://www.onescreen.ai/mcp/
  baseURL: https://mcp.onescreen.ai/mcp
  tags:
  - MCP
  - Out-of-Home
  - Advertising
  - Audience Data
  - Inventory
  - Authentication
  tags_raw:
  - MCP
  - Out-of-Home
  - Advertising
  - Audience Data
  - Inventory
  - OAuth
  properties:
  - type: MCPServer
    url: mcp/onescreen-ai-mcp.yml
common:
- type: Website
  url: https://onescreen.ai/
- type: MCPServer
  name: OneScreen MCP Server
  url: mcp/onescreen-ai-mcp.yml
- type: Documentation
  name: OneScreen MCP Server documentation
  url: https://www.onescreen.ai/mcp/
- type: Authentication
  name: OAuth 2.1 authentication profile
  url: authentication/onescreen-ai-authentication.yml
- type: OAuthScopes
  name: Published MCP OAuth scopes
  url: scopes/onescreen-ai-scopes.yml
- type: WellKnown
  name: /.well-known discovery index
  url: well-known/onescreen-ai-well-known.yml
- type: ContentSignal
  name: Cloudflare Content Signals policy (robots.txt)
  url: https://www.onescreen.ai/robots.txt
- type: Conformance
  url: conformance/onescreen-ai-conformance.yml
- type: Conventions
  url: conventions/onescreen-ai-conventions.yml
- type: Plans
  url: plans/onescreen-ai-plans-pricing.yml
- type: RateLimits
  url: rate-limits/onescreen-ai-rate-limits.yml
- type: Lifecycle
  url: lifecycle/onescreen-ai-lifecycle.yml
- type: Packages
  url: packages/onescreen-ai-packages.yml
- type: DomainSecurity
  url: security/onescreen-ai-domain-security.yml
- type: LLMsTxt
  url: llms/onescreen-ai-llms.txt
- type: Blog
  url: https://www.onescreen.ai/blog/
- type: Support
  name: Contact
  url: https://www.onescreen.ai/contact/
- type: Login
  name: OneScreen login
  url: https://auth.onescreen.ai/
- type: TermsOfService
  url: https://www.onescreen.ai/terms-of-service/
- type: PrivacyPolicy
  url: https://www.onescreen.ai/privacy-policy/
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
x-enrichment:
  date: '2026-08-13'
  status: enriched
  artifacts_added: 12
  pass: local-v1

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