OneScreen AI website screenshot

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.

27.1/100 emerging ▲ 12.4 Agent 26/100 agent aware Full breakdown ↓
scored 2026-08-17 · rubric v0.11.0
AccessFree
1 APIs 1 MCP Servers
CompanyAdvertisingOut-of-HomeDOOHAdvertising TechnologyMarketingMediaAI AgentsMCPOAuthAgent Readiness

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-08-17 · rubric v0.11.0
Composite quality — 27.1/100 · emerging
Contract Quality 0.0 / 25
Developer Ergonomics 7.0 / 20
Commercial Clarity 11.1 / 20
Operational Transparency 0.0 / 13
Governance 1.5 / 12
Discoverability 7.6 / 10
Agent readiness — 26/100 · agent aware
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 10
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
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. 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. Want it done for you? Prioritized profiling — $2,500 →

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.

Pricing Plans 1

Published pricing tiers and plan structures.

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

22 scopes

SCOPES

Resources

Get Started 1

Portal, sign-up, and the first successful call

Documentation 1

Reference material describing how the API behaves

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

Design & Contract 3

Pagination, idempotency, versioning, errors, and events

Build 1

SDKs, sample code, and the tooling you integrate with

Access & Security 3

Authentication, authorization, and security posture

Operate 2

Status, limits, changes, and where to get help

Commercial 3

Pricing, plans, and the legal terms of use

Company 2

The organization behind the API

Other 1

Properties that don't map to a standard resource type

Source (apis.yml)

apis.yml Raw ↑
aid: onescreen-ai
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: '0.20'
created: '2026-07-17'
modified: '2026-08-13'
tags:
- 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
  - 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