Everything you need to monetize AI agents

RAG-powered product search API, vector search capabilities, and contextual product recommendations designed for developers building AI-native commerce.

Powerful API Features

Everything you need to build AI-native commerce experiences. Explore our comprehensive API endpoints powered by OpenAPI specifications.

Contextual RAG Search
/search

High-speed vector search powered by LanceDB Cloud with <300ms latency

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Batch Search
/search/batch

Process multiple queries in a single request for improved efficiency

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Similar Products
/products/{product_id}/similar

Find related products using vector similarity and collaborative filtering

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Analytics & Usage
/analytics, /usage

Track performance metrics, CTR, conversion rates, and usage statistics

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Webhooks
/webhooks

Real-time event notifications for clicks, conversions, and searches

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Attribution Tracking
/clicks/{impression_id}

Compliant click tracking for Skimlinks and Amazon affiliate programs

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Full API docs available at /docs

RAG-Powered Product Search

Transform user intent into precise product recommendations using advanced vector search. Our RAG engine understands context, conversation history, and user preferences to deliver the most relevant products.

LanceDB CloudVector SearchContextual Matching
search_example.py

Ultra-Low Latency

Built for speed. Our optimized vector search delivers results in under 300ms, ensuring your AI agents respond instantly without breaking the conversation flow.

<300ms ResponseOptimized QueriesEdge Caching
Vector Search
<0
Total Response
<0
Uptime SLA
0.0%

Developer-First Experience

Everything you need to integrate VKRA into your AI agents in minutes.

Simple SDK

One-line integration with official SDKs for Python, JavaScript, and more.

One-line integration

Official MCP Server support

import adtokens
client = adtokens.Client()
results = client.search("laptop")

RESTful API

Clean HTTP endpoints with comprehensive OpenAPI docs and type-safe clients.

OpenAPI 3.0

Type-safe clients

GET /search
POST /analytics

Code Examples

Copy-paste ready snippets for every use case. Get started in minutes, not hours.

Copy-paste ready

Multiple languages

PythonJavaScriptGoRustJava

Compliance & Privacy Built-In

GDPR-ready architecture with automated disclosure management. We never store PII—only intent vectors. Every ad is traceable with unique request IDs for full attribution compliance.

GDPR-ReadyNo PII StorageAutomated Disclosures

Privacy-First Architecture

Only intent vectors stored. No personally identifiable information ever touches our systems.

GDPR Compliant

Automated disclosure management and consent handling built into every request.

Full Attribution Tracking

Unique request IDs ensure complete compliance with Skimlinks/Amazon attribution requirements.

Analytics & Attribution

Track performance, optimize conversions, and stay compliant with comprehensive analytics.

Real-Time Analytics

Monitor search metrics, click-through rates, and conversions in real-time with detailed dashboards.

Real-time metrics

Detailed dashboards

CTR3.2%
Conversions1,247

Webhook Support

Event-driven architecture with customizable webhooks for clicks, conversions, and search events.

Event-driven

Customizable webhooks

click events
conversion events
search events

Session Management

Maintain conversation context with anonymous session tracking for better relevance over time.

Conversation context

Anonymous sessions

Active Sessions2,847
Avg. Duration12m 34s

Enterprise-Grade Infrastructure

Scalable, reliable, and fast. Built on Google Cloud Run with auto-scaling, global CDN, and 99.9% uptime SLA. Your AI agents deserve infrastructure that never slows them down.

99.9% UptimeAuto-ScalingGlobal CDN
Global CDN Uptime
0.0%
Auto-Scaling Capacity
0
High Availability
0

Ready to get started?

Join developers building the next generation of AI-native commerce. Get started in minutes with our developer-first API.

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