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, DOOH, and Advertising Technology.

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

🌐 Visit website 📡 Source on GitHub

26.6/100 thin ▬ flat Agent 11/100 agent aware saas Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0

AccessFree

1 APIs 1 MCP Servers

Company Advertising Out-of-Home DOOH Advertising Technology Marketing Media AI Agents MCP Authentication Agent Readiness

Kin Score

Kin Score How this is scored →
scored 2026-09-08 · rubric v0.20.0

Composite quality — 26.6/100 · thin

Contract Quality 0.0 / 25

Developer Ergonomics 5.7 / 20

Access Clarity 11.1 / 20

Operational Transparency 0.0 / 13

Contract Governance 2.2 / 12

Discoverability 7.6 / 10

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

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.

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
- DOOH
- Advertising Technology
- 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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