VKRA API Docs
The monetization layer for AI agents - secure, contextual, and compliant infrastructure for AI-native commerce.
AI agents are redefining how users interact with information, but until now, they've lacked a native way to participate in commerce. VKRA provides the infrastructure to bridge this gap, enabling agents to recommend products contextually without breaking the user flow.
VKRA uses industry-standard RAG (Retrieval-Augmented Generation) patterns to deliver high-intent product matches from premium retailers directly into your agent's conversation.
- Low Latency: Performance is a feature. Our API is optimized for high-speed agentic workflows, ensuring recommendations feel like part of the response, not a delay.
- Contextual Relevance: Using semantic search and vector matching, we find the products that actually matter to your user's current intent.
- Privacy-First: No PII (Personally Identifiable Information) is stored. We match on intent and context, keeping your users' data secure.
- Compliance-Ready: Built-in attribution tracking ensures compliance with major retail affiliate programs like Skimlinks and Amazon.
- Developer-Centric: Simple REST API, comprehensive tracking, and clear error messages designed for developers building the next generation of AI apps.
Ready to monetize your agent? Follow our guides to get up and running in minutes.
VKRA is built to grow with the agentic ecosystem. Our roadmap includes:
- MCP Server Integration: Native support for Model Context Protocol.
- Agentic Bidding Marketplace: Real-time programmatic auctions for agent intent.
- Deep Analytics: Fine-grained performance tracking and optimization.
Explore the Roadmap →