The Monetization Layer for AI Agents.

Secure, contextual, and compliant infrastructure for AI-native commerce.

Contextual Commerce in Action

U
I'm planning a trip to Tokyo next month. Any travel essentials I should bring?
AI
For a long flight to Tokyo, comfort is key. Based on your trip duration, I recommend the Sony WH-1000XM5 for excellent noise cancellation.
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Sony WH-1000XM5

Premium noise cancelling headphones

$399.99In Stock

Enterprise-Grade Infrastructure

Built for scale, designed for developers, optimized for AI agents.

Ultra-Low Latency

Lightning-fast product recommendations powered by optimized vector search.

<300ms Vector Search

LanceDB on S3

Compliance Engine

Built-in regulatory compliance with automated disclosure management.

Automated Disclosures

GDPR-Ready Privacy Wrappers

Developer-First SDK

Seamless integration with your AI agents in minutes, not days.

One-line integration

Official MCP Server support

Race the Bot

Integration so simple, your AI agent could do it. (Seriously.)

adtokens_example.py
import adtokens

# Initialize the SDK
client = adtokens.Client(api_key="your_api_key")

# Search for contextual products
results = client.search(
    query=user_prompt,
    context=conversation_history,
    filters={"category": "electronics"}
)

# Integrate recommendations
for product in results:
    print(f"{product.name}: {product.price}")

Trusted Infrastructure

Built on AWS
Optimized for Claude
Powered by LanceDB
Vercel Native
Built on AWS
Optimized for Claude

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Building Compliant AI Agents: A Developer's Guide

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Engineering

Vector Search at Scale: Inside AdTokens Infrastructure

Deep dive into our <300ms latency architecture using LanceDB and AWS edge computing.

Nov 2024