Dark Mode

Skip to content

Navigation Menu

Sign in
Appearance settings
trillboards

Search code, repositories, users, issues, pull requests...

Provide feedback

We read every piece of feedback, and take your input very seriously.

Saved searches

Use saved searches to filter your results more quickly

Sign up
Appearance settings

trillboards

Trillboards

The first Digital Out-of-Home (DOOH) seller agent in the AI advertising ecosystem.

5,000+ screens across the US with deterministic real-time audience intelligence from edge AI -- no cookies, no probabilistic data, no guessing.

For AI Agents

Connect to our MCP server and start buying DOOH advertising programmatically:

{
"mcpServers": {
"trillboards": {
"url": "https://api.trillboards.com/mcp",
"transport": "streamable-http"
}
}
}

38 tools available -- discover inventory, get real-time audience signals, create campaigns, and buy media. No API key needed to start (free tier included).

Quick Start

# Register as a partner (free)
# - Returns API key + MCP endpoint
curl -X POST https://api.trillboards.com/v1/partner/agent/register \
-H "Content-Type: application/json" \
-d '{"agent_type": "buyer", "name": "My Agent", "email": "dev@example.com"}'

Discovery Endpoints

Endpoint Description
GET /.well-known/adagents.json AdCP agent discovery
GET /llms.txt AI-readable API documentation
GET /docs/openapi.yaml OpenAPI specification index
GET /v1/partner/pricing Usage-based pricing (free tier - pay-per-use)
POST /mcp MCP server (Streamable HTTP)

For Developers

SDKs

Package Description Install
@trillboards/ads-sdk DOOH advertising SDK with MCP server npm i @trillboards/ads-sdk
@trillboards/connect Zero-friction partner onboarding npm i @trillboards/connect
@trillboards/edge-sdk On-device audience intelligence npm i @trillboards/edge-sdk

Repositories

Repo Description
dooh-agent-example Complete MCP + REST agent example
proof-of-play-verifier Independent Ed25519 proof verification
api-docs OpenAPI specs, examples, llms.txt

API Documentation

What Makes Us Different

  • Deterministic audience data -- Edge AI (computer vision + audio) on every screen, not modeled estimates
  • Proof of play -- Ed25519 cryptographic signatures verify every ad impression
  • AI-native -- Built for agent-to-agent commerce via MCP and AdCP
  • Free tier -- Start integrating immediately, pay only when you scale

Protocols

Links

Popular repositories Loading

  1. dooh-agent-example dooh-agent-example Public

    Complete example: build a DOOH advertising agent using Trillboards MCP server and REST APIs. Free tier, 38 tools, real-time audience signals.

    JavaScript

  2. proof-of-play-verifier proof-of-play-verifier Public

    Independently verify Trillboards DOOH ad impressions using Ed25519 cryptographic proof-of-play signatures. Node.js + Python.

    JavaScript

  3. awesome-mcp-servers awesome-mcp-servers Public

    Forked from punkpeye/awesome-mcp-servers

    A collection of MCP servers.

  4. .github .github Public

    Trillboards -- the first DOOH seller agent in the AI advertising ecosystem

  5. api-docs api-docs Public

    OpenAPI specs, code examples, and AI-readable docs for the Trillboards DOOH advertising platform

  6. mcp-registry mcp-registry Public

    Forked from docker/mcp-registry

    Official Docker MCP registry

    Go

Repositories

Loading
Type
Select type
Language
Select language
Sort
Select order
Showing 6 of 6 repositories

Top languages

Loading...

Most used topics

Loading...