Markit.Place
Markit.Place is an orchestration layer and Model Context Protocol (MCP) that bridges content monetization and AI-driven commerce. The platform converts content, audience, and digital influence into transactable equity, enabling value capture at the point of context creation rather than solely at checkout. It provides AI agents structured access to commerce signals while preserving attribution data for upstream creators.
- Commerce & Shopping
- Artificial Intelligence
- Creator / Creative Economy
- Software Only
- Data & Analytics
Funding
Founders
Founder details are not available yet.
Product
Problem
AI is fundamentally reshaping the decision journey, and as commerce shifts to agentic interactions, traditional attribution models are breaking. Value is created upstream through content and context but captured downstream at checkout, leaving an unsustainable gap where content creators and platforms lose monetization and AI agents lack the contextual signals they need to operate effectively.
Solution
Markit.Place is an orchestration layer and Model Context Protocol (MCP) that bridges the gap between content monetization and AI-driven commerce. It allows platforms and AI agents to intelligently interact with commerce while protecting the economic signals that sustain IP attribution. The platform converts content, audience, and digital influence into transactable equity across a partner network, enabling value capture at the point of context creation rather than solely at final checkout. By functioning as the contextual and agentic commerce infrastructure, Markit.Place fixes the economics of the internet by ensuring upstream value creators are compensated even as purchasing decisions become automated and conversational.
Target Audience
Primary customers are digital platforms, content publishers, and AI agent developers who need to monetize contextual influence and participate in commerce-driven revenue sharing without losing attribution visibility.
Features
- Model Context Protocol (MCP) implementation that gives AI agents structured access to commerce signals and transaction flows
- Orchestration layer connecting content and context with checkout and settlement systems across the partner network
- Contextual attribution model that tracks value creation upstream in the decision journey rather than only at final sale
- Asset monetization engine that converts content, audience, and digital influence into transactable equity
- Partner network integration enabling platforms and AI systems to participate in commerce while preserving attribution data
- Consumer-facing intelligence features including price comparisons, promotions, popularity trends, and AI-driven virtual fitting rooms